diff --git a/doc/index.rst b/doc/index.rst
index 099326f28e..470023774a 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -92,6 +92,7 @@ Commonly used classes may be imported directly from :mod:`message_ix_models`.
    project/circeular
    project/edits
    project/gea
+   project/scenariomip
    project/shape
    project/ssp
 
diff --git a/doc/project/scenariomip.rst b/doc/project/scenariomip.rst
new file mode 100644
index 0000000000..12e0c8494a
--- /dev/null
+++ b/doc/project/scenariomip.rst
@@ -0,0 +1,12 @@
+ScenarioMIP
+***********
+
+There is currently no dedicated code in :mod:`message_ix_models` associated with this project.
+This page is a place-holder.
+
+See also :doc:`/project/ssp`.
+
+Project information
+===================
+
+- Website: https://wcrp-cmip.org/mips/scenariomip/
diff --git a/doc/project/ssp.rst b/doc/project/ssp.rst
index 9b4a09151e..9376899043 100644
--- a/doc/project/ssp.rst
+++ b/doc/project/ssp.rst
@@ -3,6 +3,16 @@
 Shared Socioeconomic Pathways (:mod:`.project.ssp`)
 ***************************************************
 
+.. warning::
+
+   The 2024 SSP update is **under development**.
+   For details, see:
+
+   - Tracking issue :issue:`234`.
+   - `Issues and PRs labeled 'p:SSP-2024' <https://github.com/iiasa/message-ix-models/issues?q=label%3Ap:SSP-2024>`_ on the :mod:`.message_ix_models` GitHub repository.
+
+See also :doc:`/project/scenariomip`.
+
 Structure
 =========
 
diff --git a/message_ix_models/data/ccs-dac/co2infrastructure_data_leddev.yaml b/message_ix_models/data/ccs-dac/co2infrastructure_data_leddev.yaml
new file mode 100644
index 0000000000..9f5b469794
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/co2infrastructure_data_leddev.yaml
@@ -0,0 +1,1331 @@
+# FOSSIL CCS
+bf_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.213682
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+c_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.32267
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_dry_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_wet_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_adv_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.09429
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.25667
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+dri_gas_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.13
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+fueloil_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.799816
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+g_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.905747
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_cc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.904167
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.472617
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.23733
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_smr_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.623188
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+igcc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.15588
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.863462
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_ng_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.228333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+syn_liq_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.04318
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+
+# BIOMASS CCS
+bio_istig_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.70333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+biomass_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.34799
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+bio_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.51467
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+eth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.5439
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+h2_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.45818
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+liq_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.39773
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+meth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.786611
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+
+##############
+#--- The pipelines
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  bound_activity_up_:
+    par_name: bound_activity_up
+    value: 30000
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    time: 
+      year: 1
+    mode:
+      all: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans2:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 115
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.08
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.2
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_limit_tot_BECCS:
+    par_name: relation_activity
+    value: -1.0605
+    unit: Mt C/yr
+    relation: [limit_tot_BECCS]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+
+# - - - - - - - - - - - - - - - -
+# CO2 STORAGE and UTILIZATION
+#--- The storage
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+
+#--- For utilization
+co2_util:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 0
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  output_co2:
+    par_name: output
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+
+meth_h2:
+  year_init: 2030
+  input_co2:
+    par_name: input
+    value: 1.821
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
diff --git a/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp1dev.yaml b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp1dev.yaml
new file mode 100644
index 0000000000..325cdb0330
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp1dev.yaml
@@ -0,0 +1,1331 @@
+# FOSSIL CCS
+bf_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.213682
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+c_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.32267
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_dry_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_wet_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_adv_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.09429
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.25667
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+dri_gas_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.13
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+fueloil_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.799816
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+g_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.905747
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_cc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.904167
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.472617
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.23733
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_smr_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.623188
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+igcc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.15588
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.863462
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_ng_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.228333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+syn_liq_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.04318
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+
+# BIOMASS CCS
+bio_istig_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.70333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+biomass_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.34799
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+bio_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.51467
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+eth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.5439
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+h2_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.45818
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+liq_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.39773
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+meth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.786611
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+
+##############
+#--- The pipelines
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  bound_activity_up_:
+    par_name: bound_activity_up
+    value: 30000
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    time: 
+      year: 1
+    mode:
+      all: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans2:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 115
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.08
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.2
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_limit_tot_BECCS:
+    par_name: relation_activity
+    value: -1.0605
+    unit: Mt C/yr
+    relation: [limit_tot_BECCS]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    
+
+
+# - - - - - - - - - - - - - - - -
+# CO2 STORAGE and UTILIZATION
+#--- The storage
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+
+#--- For utilization
+co2_util:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 0
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  output_co2:
+    par_name: output
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+
+meth_h2:
+  year_init: 2030
+  input_co2:
+    par_name: input
+    value: 1.821
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
diff --git a/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp2dev.yaml b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp2dev.yaml
new file mode 100644
index 0000000000..536178b0d9
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp2dev.yaml
@@ -0,0 +1,1331 @@
+# FOSSIL CCS
+bf_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.213682
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+c_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.32267
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_dry_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_wet_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_adv_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.09429
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.25667
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+dri_gas_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.13
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+fueloil_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.799816
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+g_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.905747
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_cc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.904167
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.472617
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.23733
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_smr_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.623188
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+igcc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.15588
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.863462
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_ng_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.228333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+syn_liq_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.04318
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+
+# BIOMASS CCS
+bio_istig_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.70333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+biomass_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.34799
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+bio_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.51467
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+eth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.5439
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+h2_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.45818
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+liq_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.39773
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+meth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.786611
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+
+##############
+#--- The pipelines
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  bound_activity_up_:
+    par_name: bound_activity_up
+    value: 30000
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    time: 
+      year: 1
+    mode:
+      all: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    
+co2_trans2:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 115
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.08
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.2
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_limit_tot_BECCS:
+    par_name: relation_activity
+    value: -1.0605
+    unit: Mt C/yr
+    relation: [limit_tot_BECCS]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+
+# - - - - - - - - - - - - - - - -
+# CO2 STORAGE and UTILIZATION
+#--- The storage
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    
+#--- For utilization
+co2_util:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 0
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  output_co2:
+    par_name: output
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+
+meth_h2:
+  year_init: 2030
+  input_co2:
+    par_name: input
+    value: 1.821
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
diff --git a/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp3dev.yaml b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp3dev.yaml
new file mode 100644
index 0000000000..9f5b469794
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp3dev.yaml
@@ -0,0 +1,1331 @@
+# FOSSIL CCS
+bf_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.213682
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+c_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.32267
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_dry_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_wet_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_adv_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.09429
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.25667
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+dri_gas_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.13
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+fueloil_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.799816
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+g_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.905747
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_cc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.904167
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.472617
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.23733
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_smr_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.623188
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+igcc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.15588
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.863462
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_ng_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.228333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+syn_liq_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.04318
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+
+# BIOMASS CCS
+bio_istig_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.70333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+biomass_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.34799
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+bio_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.51467
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+eth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.5439
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+h2_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.45818
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+liq_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.39773
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+meth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.786611
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+
+##############
+#--- The pipelines
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  bound_activity_up_:
+    par_name: bound_activity_up
+    value: 30000
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    time: 
+      year: 1
+    mode:
+      all: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans2:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 115
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.08
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.2
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_limit_tot_BECCS:
+    par_name: relation_activity
+    value: -1.0605
+    unit: Mt C/yr
+    relation: [limit_tot_BECCS]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+
+# - - - - - - - - - - - - - - - -
+# CO2 STORAGE and UTILIZATION
+#--- The storage
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+
+#--- For utilization
+co2_util:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 0
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  output_co2:
+    par_name: output
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+
+meth_h2:
+  year_init: 2030
+  input_co2:
+    par_name: input
+    value: 1.821
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
diff --git a/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp4dev.yaml b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp4dev.yaml
new file mode 100644
index 0000000000..f89f2a3af3
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp4dev.yaml
@@ -0,0 +1,1331 @@
+# FOSSIL CCS
+bf_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.213682
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+c_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.32267
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_dry_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_wet_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_adv_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.09429
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.25667
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+dri_gas_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.13
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+fueloil_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.799816
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+g_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.905747
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_cc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.904167
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.472617
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.23733
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_smr_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.623188
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+igcc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.15588
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.863462
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_ng_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.228333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+syn_liq_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.04318
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+
+# BIOMASS CCS
+bio_istig_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.70333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+biomass_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.34799
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+bio_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.51467
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+eth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.5439
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+h2_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.45818
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+liq_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.39773
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+meth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.786611
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+
+##############
+#--- The pipelines
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  bound_activity_up_:
+    par_name: bound_activity_up
+    value: 30000
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    time: 
+      year: 1
+    mode:
+      all: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    
+co2_trans2:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 115
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.08
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.2
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_limit_tot_BECCS:
+    par_name: relation_activity
+    value: -1.0605
+    unit: Mt C/yr
+    relation: [limit_tot_BECCS]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    
+
+
+# - - - - - - - - - - - - - - - -
+# CO2 STORAGE and UTILIZATION
+#--- The storage
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    
+#--- For utilization
+co2_util:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 0
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  output_co2:
+    par_name: output
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+
+meth_h2:
+  year_init: 2030
+  input_co2:
+    par_name: input
+    value: 1.821
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
diff --git a/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp5dev.yaml b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp5dev.yaml
new file mode 100644
index 0000000000..f89f2a3af3
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/co2infrastructure_data_ssp5dev.yaml
@@ -0,0 +1,1331 @@
+# FOSSIL CCS
+bf_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.213682
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+c_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.32267
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_dry_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+clinker_wet_ccs_cement:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.135
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_adv_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.09429
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+coal_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.25667
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+dri_gas_ccs_steel:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.13
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+fueloil_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.799816
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+g_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.905747
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_cc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.904167
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+gas_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.472617
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.23733
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+h2_smr_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.623188
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+igcc_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.15588
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_coal_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.863462
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+meth_ng_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.228333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+syn_liq_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.04318
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+
+
+# BIOMASS CCS
+bio_istig_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.70333
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+biomass_NH3_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.34799
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+bio_ppl_co2scr:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 2.51467
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+eth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.5439
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+h2_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.45818
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+liq_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 1.39773
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+meth_bio_ccs:
+  year_init: 2030
+  output_:
+    par_name: output
+    value: 0.786611
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+
+
+##############
+#--- The pipelines
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  bound_activity_up_:
+    par_name: bound_activity_up
+    value: 30000
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    time: 
+      year: 1
+    mode:
+      all: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    
+co2_trans2:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 115
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.08
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.2
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_limit_tot_BECCS:
+    par_name: relation_activity
+    value: -1.0605
+    unit: Mt C/yr
+    relation: [limit_tot_BECCS]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+    
+
+
+# - - - - - - - - - - - - - - - -
+# CO2 STORAGE and UTILIZATION
+#--- The storage
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+    
+#--- For utilization
+co2_util:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 0
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    time:
+      year: 1
+  input_co2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      fic_co2: 1
+    level:
+      final: 1
+  input_bco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      bic_co2: 1
+    level:
+      final: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  output_co2:
+    par_name: output
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+      M2: 1
+      M3: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+
+meth_h2:
+  year_init: 2030
+  input_co2:
+    par_name: input
+    value: 1.821
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      feedstock: 1
+      fuel: 1
+    commodity:
+      captured_co2: 1
+    level:
+      final: 1
diff --git a/message_ix_models/data/ccs-dac/daccs_setup_data_leddev.yaml b/message_ix_models/data/ccs-dac/daccs_setup_data_leddev.yaml
new file mode 100644
index 0000000000..85e2a00c74
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/daccs_setup_data_leddev.yaml
@@ -0,0 +1,1249 @@
+# LT DAC data: DAC5 LT heat pump+TES+battery
+dac_lt:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.09
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 20
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_hte:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.05
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_htg:
+  year_init: 2030
+  input_electr:
+    par_name: input
+    value: 0.46
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  input_gas:
+    par_name: input
+    value: 1.02
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      gas: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+DAC_mpen:
+  year_init: 2030
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.00 #0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.00824158
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 14.1
+      R12_RCPA: 14.1
+      R12_EEU: 1.5
+      R12_FSU: 2.6
+      R12_LAM: 4.5
+      R12_MEA: 3.4
+      R12_NAM: 14.6
+      R12_PAO: 3.8
+      R12_PAS: 4.5
+      R12_SAS: 2.8
+      R12_WEU: 10.9
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr  
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+    time:
+      year: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
diff --git a/message_ix_models/data/ccs-dac/daccs_setup_data_ssp1dev.yaml b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp1dev.yaml
new file mode 100644
index 0000000000..85e2a00c74
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp1dev.yaml
@@ -0,0 +1,1249 @@
+# LT DAC data: DAC5 LT heat pump+TES+battery
+dac_lt:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.09
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 20
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_hte:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.05
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_htg:
+  year_init: 2030
+  input_electr:
+    par_name: input
+    value: 0.46
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  input_gas:
+    par_name: input
+    value: 1.02
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      gas: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+DAC_mpen:
+  year_init: 2030
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.00 #0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.00824158
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 14.1
+      R12_RCPA: 14.1
+      R12_EEU: 1.5
+      R12_FSU: 2.6
+      R12_LAM: 4.5
+      R12_MEA: 3.4
+      R12_NAM: 14.6
+      R12_PAO: 3.8
+      R12_PAS: 4.5
+      R12_SAS: 2.8
+      R12_WEU: 10.9
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr  
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+    time:
+      year: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
diff --git a/message_ix_models/data/ccs-dac/daccs_setup_data_ssp2dev.yaml b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp2dev.yaml
new file mode 100644
index 0000000000..7422a82f8e
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp2dev.yaml
@@ -0,0 +1,1249 @@
+# LT DAC data: DAC5 LT heat pump+TES+battery
+dac_lt:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.09
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.87
+      2035: 0.79
+      2040: 0.70
+      2045: 0.64
+      2050: 0.59
+      2055: 0.56
+      2060: 0.54
+      2070: 0.51
+      2080: 0.51
+      2090: 0.51
+      2100: 0.50
+      2110: 0.50
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 20
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_hte:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.05
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.87
+      2035: 0.79
+      2040: 0.70
+      2045: 0.64
+      2050: 0.59
+      2055: 0.56
+      2060: 0.54
+      2070: 0.51
+      2080: 0.51
+      2090: 0.51
+      2100: 0.50
+      2110: 0.50
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.10
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_htg:
+  year_init: 2030
+  input_electr:
+    par_name: input
+    value: 0.46
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.87
+      2035: 0.79
+      2040: 0.70
+      2045: 0.64
+      2050: 0.59
+      2055: 0.56
+      2060: 0.54
+      2070: 0.51
+      2080: 0.51
+      2090: 0.51
+      2100: 0.50
+      2110: 0.50
+  input_gas:
+    par_name: input
+    value: 1.02
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      gas: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.87
+      2035: 0.79
+      2040: 0.70
+      2045: 0.64
+      2050: 0.59
+      2055: 0.56
+      2060: 0.54
+      2070: 0.51
+      2080: 0.51
+      2090: 0.51
+      2100: 0.50
+      2110: 0.50
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+DAC_mpen:
+  year_init: 2030
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.10
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.00 #0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.00824158
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 14.1
+      R12_RCPA: 14.1
+      R12_EEU: 1.5
+      R12_FSU: 2.6
+      R12_LAM: 4.5
+      R12_MEA: 3.4
+      R12_NAM: 14.6
+      R12_PAO: 3.8
+      R12_PAS: 4.5
+      R12_SAS: 2.8
+      R12_WEU: 10.9
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr  
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+    time:
+      year: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
diff --git a/message_ix_models/data/ccs-dac/daccs_setup_data_ssp3dev.yaml b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp3dev.yaml
new file mode 100644
index 0000000000..01f032b95f
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp3dev.yaml
@@ -0,0 +1,1249 @@
+# LT DAC data: DAC5 LT heat pump+TES+battery
+dac_lt:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.09
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 20
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_hte:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.05
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_htg:
+  year_init: 2030
+  input_electr:
+    par_name: input
+    value: 0.46
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  input_gas:
+    par_name: input
+    value: 1.02
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      gas: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.92
+      2035: 0.87
+      2040: 0.82
+      2045: 0.79
+      2050: 0.76
+      2055: 0.74
+      2060: 0.72
+      2070: 0.71
+      2080: 0.70
+      2090: 0.70
+      2100: 0.70
+      2110: 0.70
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+DAC_mpen:
+  year_init: 2030
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.00 #0.05 --> DAC is off in SSP3
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0.00 #0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.00 #0.00824158 --> DAC is off in SSP3
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 14.1
+      R12_RCPA: 14.1
+      R12_EEU: 1.5
+      R12_FSU: 2.6
+      R12_LAM: 4.5
+      R12_MEA: 3.4
+      R12_NAM: 14.6
+      R12_PAO: 3.8
+      R12_PAS: 4.5
+      R12_SAS: 2.8
+      R12_WEU: 10.9
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr  
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+    time:
+      year: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
diff --git a/message_ix_models/data/ccs-dac/daccs_setup_data_ssp4dev.yaml b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp4dev.yaml
new file mode 100644
index 0000000000..46a18bd0ec
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp4dev.yaml
@@ -0,0 +1,1249 @@
+# LT DAC data: DAC5 LT heat pump+TES+battery
+dac_lt:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.09
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 20
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_hte:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.05
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_htg:
+  year_init: 2030
+  input_electr:
+    par_name: input
+    value: 0.46
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  input_gas:
+    par_name: input
+    value: 1.02
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      gas: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+DAC_mpen:
+  year_init: 2030
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0 #0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.00824158
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 14.1
+      R12_RCPA: 14.1
+      R12_EEU: 1.5
+      R12_FSU: 2.6
+      R12_LAM: 4.5
+      R12_MEA: 3.4
+      R12_NAM: 14.6
+      R12_PAO: 3.8
+      R12_PAS: 4.5
+      R12_SAS: 2.8
+      R12_WEU: 10.9
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr  
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+    time:
+      year: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
diff --git a/message_ix_models/data/ccs-dac/daccs_setup_data_ssp5dev.yaml b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp5dev.yaml
new file mode 100644
index 0000000000..46a18bd0ec
--- /dev/null
+++ b/message_ix_models/data/ccs-dac/daccs_setup_data_ssp5dev.yaml
@@ -0,0 +1,1249 @@
+# LT DAC data: DAC5 LT heat pump+TES+battery
+dac_lt:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.09
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 20
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_hte:
+  year_init: 2030
+  input_:
+    par_name: input
+    value: 1.05
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+dac_htg:
+  year_init: 2030
+  input_electr:
+    par_name: input
+    value: 0.46
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      electr: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  input_gas:
+    par_name: input
+    value: 1.02
+    unit: GWa
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      gas: 1
+    level:
+      final: 1
+    year_act:
+      rate: 0
+      2030: 0.82
+      2035: 0.70
+      2040: 0.58
+      2045: 0.50
+      2050: 0.43
+      2055: 0.39
+      2060: 0.35
+      2070: 0.32
+      2080: 0.31
+      2090: 0.31
+      2100: 0.30
+      2110: 0.30
+  output_:
+    par_name: output
+    value: 1
+    unit: Mt C/yr
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M1: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  capacity_factor_:
+    par_name: capacity_factor
+    value: 0.91
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  technical_lifetime_:
+    par_name: technical_lifetime
+    value: 30
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  construction_time_:
+    par_name: construction_time
+    value: 2
+    unit: y
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+  abs_cost_activity_soft_up_:
+    par_name: abs_cost_activity_soft_up
+    value: 175
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  growth_activity_lo_:
+    par_name: growth_activity_lo
+    value: -0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_new_capacity_up_:
+    par_name: initial_new_capacity_up
+    value: 0.1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  growth_new_capacity_up_:
+    par_name: growth_new_capacity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+      2030: 1
+      2035: 1
+      2040: 1
+      2045: 1
+      2050: 1
+      2055: 1
+      2060: 1
+      2070: 1
+      2080: 1
+      2090: 1
+      2100: 1
+      2110: 1
+  level_cost_activity_soft_lo_:
+    par_name: level_cost_activity_soft_lo
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  level_cost_activity_soft_up_:
+    par_name: level_cost_activity_soft_up
+    value: 0.5
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: 1
+    unit: Mt C/yr
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+
+DAC_mpen:
+  year_init: 2030
+  growth_activity_up_:
+    par_name: growth_activity_up
+    value: 0.15
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  soft_activity_up_:
+    par_name: soft_activity_up
+    value: 0 #0.05
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  initial_activity_up_:
+    par_name: initial_activity_up
+    value: 0.00824158
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 14.1
+      R12_RCPA: 14.1
+      R12_EEU: 1.5
+      R12_FSU: 2.6
+      R12_LAM: 4.5
+      R12_MEA: 3.4
+      R12_NAM: 14.6
+      R12_PAO: 3.8
+      R12_PAS: 4.5
+      R12_SAS: 2.8
+      R12_WEU: 10.9
+    year_act:
+      rate: 0.0
+    time:
+      year: 1
+  relation_activity_DAC_mpen_c:
+    par_name: relation_activity
+    value: -1
+    unit: Mt C/yr  
+    relation: [DAC_mpen_c]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M1: 1
+
+co2_trans1:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 40
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+    time:
+      year: 1
+  input_:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      secondary: 1
+  output_:
+    par_name: output
+    value: 0.99
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M2: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M2: 1
+
+co2_stor:
+  year_init: 2030
+  var_cost_: 
+    par_name: var_cost
+    value: 35
+    unit: '-' #$/tCO2a
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_vtg:
+      rate: 0
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+    time:
+      year: 1
+  input_dacco2:
+    par_name: input
+    value: 1
+    unit: '-'
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    mode:
+      M3: 1
+    commodity:
+      dac_co2: 1
+    level:
+      final: 1
+  relation_activity_CO2_Emission:
+    par_name: relation_activity
+    value: -0.99
+    unit: Mt C/yr
+    relation: [CO2_Emission]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
+  relation_activity_CO2_cc:
+    par_name: relation_activity
+    value: 0.01
+    unit: Mt C/yr
+    relation: [CO2_cc]
+    year_rel:
+      rate: 0
+    node_loc:
+      R12_AFR: 1
+      R12_CHN: 1
+      R12_RCPA: 1
+      R12_EEU: 1
+      R12_FSU: 1
+      R12_LAM: 1
+      R12_MEA: 1
+      R12_NAM: 1
+      R12_PAO: 1
+      R12_PAS: 1
+      R12_SAS: 1
+      R12_WEU: 1
+    year_act:
+      rate: 0
+    mode:
+      M3: 1
diff --git a/message_ix_models/data/costs/dac/tech_map.csv b/message_ix_models/data/costs/dac/tech_map.csv
new file mode 100644
index 0000000000..140e0fdb69
--- /dev/null
+++ b/message_ix_models/data/costs/dac/tech_map.csv
@@ -0,0 +1,4 @@
+message_technology,reg_diff_source,reg_diff_technology,base_year_reference_region_cost,fix_ratio,first_year_original
+dac_lt,energy,igcc_ccs,4000,,2030
+dac_hte,energy,igcc_ccs,5000,,2030
+dac_htg,energy,igcc_ccs,5500,,2030
diff --git a/message_ix_models/data/costs/energy/cost_reduction.csv b/message_ix_models/data/costs/energy/cost_reduction.csv
index 2a2a6bce05..2ed01b6b7e 100755
--- a/message_ix_models/data/costs/energy/cost_reduction.csv
+++ b/message_ix_models/data/costs/energy/cost_reduction.csv
@@ -1,96 +1,102 @@
-# Cost reduction in 2100,,,,,
-# ,,,,,
-# Units: %  ,,,,,
-#,,,,,
-# Data is copied from Sheet1 in https://github.com/iiasa/message_data/blob/dev/data/model/investment_cost/SSP_technology_learning.xlsx,,,,,
-# There are some manually changed assumptions to the original GEA data in the spreadsheet (can be seen in the spreadsheet as marked in yellow),,,,,
-# The initial copied data can be found in gea_reduction_rates.csv,,,,,
-# This file renames the learning rates from GEAL to low and GEAM to medium and GEAH to high,,,,,
-message_technology,very_low,low,medium,high,very_high
-bio_istig,0,0.1,0.3,0.4,0.5
-bio_istig_ccs,0,0.1,0.3,0.4,0.6
-bio_ppl,0,0.1,0.2,0.3,0.4
-bio_ppl_co2scr,0,0,0,0.3,0.4
-biomass_i,0,0,0,0,0
-c_ppl_co2scr,0,0,0,0.3,0.4
-coal_adv,0,0.1,0.3,0.5,0.7
-coal_adv_ccs,0,0.1,0.3,0.5,0.7
-coal_i,0,0,0,0,0
-coal_ppl,0,0,0.2,0.5,0.7
-coal_ppl_u,0,0,0,0,0
-csp_sm1_ppl,0.15,0.3,0.3,0.5,0.7
-csp_sm3_ppl,0.15,0.3,0.3,0.5,0.7
-elec_i,0,0,0,0,0
-eth_bio,0,0.27,0.27,0.4,0.55
-eth_bio_ccs,0,0.27,0.27,0.4,0.55
-eth_i,0,0,0,0,0
-foil_i,0,0,0,0,0
-g_ppl_co2scr,0,0,0,0.3,0.4
-gas_cc,0.1,0.2,0.29,0.38,0.5
-gas_cc_ccs,0.1,0.2,0.29,0.5,0.7
-gas_ct,0.1,0.2,0.29,0.38,0.5
-gas_i,0,0,0,0,0
-gas_ppl,0.1,0.2,0.29,0.38,0.5
-geo_hpl,0.1,0.15,0.18,0.25,0.35
-geo_ppl,0,0.1,0.18,0.25,0.35
-h2_bio,0,0.25,0.4,0.5,0.7
-h2_bio_ccs,0,0.25,0.4,0.5,0.7
-h2_coal,0,0.25,0.4,0.4,0.5
-h2_coal_ccs,0,0.25,0.4,0.4,0.5
-h2_elec,0,0,0.1,0.2,0.3
-h2_i,0,0,0,0,0
-h2_smr,0,0.25,0.4,0.5,0.7
-h2_smr_ccs,0,0.25,0.4,0.5,0.7
-heat_i,0,0,0,0,0
-hp_el_i,0.1,0.2,0.5,0.5,0.6
-hp_gas_i,0.1,0.2,0.4,0.4,0.5
-hydro_hc,0,0,0,0,0
-hydro_lc,0,0,0,0,0
-igcc,0,0.1,0.3,0.5,0.7
-igcc_ccs,0,0.1,0.3,0.5,0.7
-liq_bio,0.15,0.27,0.27,0.4,0.55
-liq_bio_ccs,0.15,0.27,0.27,0.4,0.55
-loil_i,0,0,0,0,0
-meth_coal,0,0.05,0.1,0.15,0.2
-meth_coal_ccs,0,0.05,0.1,0.15,0.2
-meth_i,0,0,0,0,0
-meth_ng,0,0.05,0.1,0.15,0.2
-meth_ng_ccs,0,0.05,0.1,0.15,0.2
-nuc_hc,0,0,0.15,0.3,0.45
-nuc_lc,0,0,0,0,0
-solar_i,0.1,0.2,0.6,0.9,0.95
-solar_pv_I,0.15,0.3,0.7,0.9,0.95
-solar_pv_RC,0.15,0.3,0.7,0.9,0.95
-solar_res_hist_2005,0.15,0.3,0.7,0.9,0.95
-solar_res_hist_2010,0.15,0.3,0.7,0.9,0.95
-solar_res_hist_2015,0.15,0.3,0.7,0.9,0.95
-solar_res_hist_2020,0.15,0.3,0.7,0.9,0.95
-solar_res1,0.15,0.3,0.7,0.9,0.95
-solar_res2,0.15,0.3,0.7,0.9,0.95
-solar_res3,0.15,0.3,0.7,0.9,0.95
-solar_res4,0.15,0.3,0.7,0.9,0.95
-solar_res5,0.15,0.3,0.7,0.9,0.95
-solar_res6,0.15,0.3,0.7,0.9,0.95
-solar_res7,0.15,0.3,0.7,0.9,0.95
-solar_res8,0.15,0.3,0.7,0.9,0.95
-solar_th_ppl,0.15,0.3,0.3,0.5,0.7
-stor_ppl,0.15,0.3,0.7,0.9,0.95
-syn_liq,0,0.05,0.1,0.15,0.2
-syn_liq_ccs,0,0.05,0.1,0.15,0.2
-wind_ref_hist_2005,0.15,0.3,0.53,0.65,0.75
-wind_ref_hist_2010,0.15,0.3,0.53,0.65,0.75
-wind_ref_hist_2015,0.15,0.3,0.53,0.65,0.75
-wind_ref_hist_2020,0.15,0.3,0.53,0.65,0.75
-wind_ref1,0.15,0.3,0.53,0.65,0.75
-wind_ref2,0.15,0.3,0.53,0.65,0.75
-wind_ref3,0.15,0.3,0.53,0.65,0.75
-wind_ref4,0.15,0.3,0.53,0.65,0.75
-wind_ref5,0.15,0.3,0.53,0.65,0.75
-wind_res_hist_2005,0.15,0.3,0.53,0.65,0.75
-wind_res_hist_2010,0.15,0.3,0.53,0.65,0.75
-wind_res_hist_2015,0.15,0.3,0.53,0.65,0.75
-wind_res_hist_2020,0.15,0.3,0.53,0.65,0.75
-wind_res1,0.15,0.3,0.53,0.65,0.75
-wind_res2,0.15,0.3,0.53,0.65,0.75
-wind_res3,0.15,0.3,0.53,0.65,0.75
-wind_res4,0.15,0.3,0.53,0.65,0.75
\ No newline at end of file
+# Cost reduction in 2100,,,,,
+# ,,,,,
+# Units: %  ,,,,,
+#,,,,,
+# Data is copied from Sheet1 in https://github.com/iiasa/message_data/blob/dev/data/model/investment_cost/SSP_technology_learning.xlsx,,,,,
+# There are some manually changed assumptions to the original GEA data in the spreadsheet (can be seen in the spreadsheet as marked in yellow),,,,,
+# The initial copied data can be found in gea_reduction_rates.csv,,,,,
+# This file renames the learning rates from GEAL to low and GEAM to medium and GEAH to high,,,,,
+message_technology,very_low,low,low_medium,medium,high,very_high
+bio_istig,0,0.1,0.3,0.3,0.4,0.5
+bio_istig_ccs,0,0.1,0.3,0.3,0.4,0.6
+bio_ppl,0,0.1,0.2,0.2,0.3,0.4
+bio_ppl_co2scr,0,0,0,0,0.3,0.4
+biomass_i,0,0,0,0,0,0
+c_ppl_co2scr,0,0,0,0,0.3,0.4
+coal_adv,0,0.1,0.3,0.3,0.5,0.7
+coal_adv_ccs,0,0.1,0.3,0.3,0.5,0.7
+coal_i,0,0,0,0,0,0
+coal_ppl,0,0,0.2,0.2,0.5,0.7
+coal_ppl_u,0,0,0,0,0,0
+csp_sm1_ppl,0.15,0.3,0.3,0.3,0.5,0.7
+csp_sm3_ppl,0.15,0.3,0.3,0.3,0.5,0.7
+elec_i,0,0,0,0,0,0
+eth_bio,0,0.27,0.27,0.27,0.4,0.55
+eth_bio_ccs,0,0.27,0.27,0.27,0.4,0.55
+eth_i,0,0,0,0,0,0
+foil_i,0,0,0,0,0,0
+g_ppl_co2scr,0,0,0,0,0.3,0.4
+gas_cc,0.1,0.2,0.29,0.29,0.38,0.5
+gas_cc_ccs,0.1,0.2,0.29,0.29,0.5,0.7
+gas_ct,0.1,0.2,0.29,0.29,0.38,0.5
+gas_i,0,0,0,0,0,0
+gas_ppl,0.1,0.2,0.29,0.29,0.38,0.5
+geo_hpl,0.1,0.15,0.18,0.18,0.25,0.35
+geo_ppl,0,0.1,0.18,0.18,0.25,0.35
+h2_bio,0,0.25,0.4,0.4,0.5,0.7
+h2_bio_ccs,0,0.25,0.4,0.4,0.5,0.7
+h2_coal,0,0.25,0.4,0.4,0.4,0.5
+h2_coal_ccs,0,0.25,0.4,0.4,0.4,0.5
+h2_elec,0,0,0.1,0.1,0.2,0.3
+h2_i,0,0,0,0,0,0
+h2_smr,0,0.25,0.4,0.4,0.5,0.7
+h2_smr_ccs,0,0.25,0.4,0.4,0.5,0.7
+heat_i,0,0,0,0,0,0
+hp_el_i,0.1,0.2,0.5,0.5,0.5,0.6
+hp_gas_i,0.1,0.2,0.4,0.4,0.4,0.5
+hydro_hc,0,0,0,0,0,0
+hydro_lc,0,0,0,0,0,0
+igcc,0,0.1,0.3,0.3,0.5,0.7
+igcc_ccs,0,0.1,0.3,0.3,0.5,0.7
+liq_bio,0.15,0.27,0.27,0.27,0.4,0.55
+liq_bio_ccs,0.15,0.27,0.27,0.27,0.4,0.55
+loil_i,0,0,0,0,0,0
+meth_coal,0,0.05,0.1,0.1,0.15,0.2
+meth_coal_ccs,0,0.05,0.1,0.1,0.15,0.2
+meth_i,0,0,0,0,0,0
+meth_ng,0,0.05,0.1,0.1,0.15,0.2
+meth_ng_ccs,0,0.05,0.1,0.1,0.15,0.2
+nuc_hc,0,0,0.15,0.15,0.3,0.45
+nuc_lc,0,0,0,0,0,0
+solar_i,0.1,0.2,0.6,0.6,0.9,0.95
+solar_pv_I,0.15,0.3,0.7,0.7,0.9,0.95
+solar_pv_RC,0.15,0.3,0.7,0.7,0.9,0.95
+solar_res_hist_2000,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res_hist_2005,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res_hist_2010,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res_hist_2015,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res_hist_2020,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res1,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res2,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res3,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res4,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res5,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res6,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res7,0.15,0.3,0.5,0.7,0.9,0.95
+solar_res8,0.15,0.3,0.5,0.7,0.9,0.95
+solar_th_ppl,0.15,0.3,0.3,0.3,0.5,0.7
+stor_ppl,0.15,0.3,0.7,0.7,0.9,0.95
+syn_liq,0,0.05,0.1,0.1,0.15,0.2
+syn_liq_ccs,0,0.05,0.1,0.1,0.15,0.2
+wind_ref_hist_2000,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref_hist_2005,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref_hist_2010,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref_hist_2015,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref_hist_2020,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref1,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref2,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref3,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref4,0.15,0.3,0.53,0.53,0.65,0.75
+wind_ref5,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res_hist_2000,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res_hist_2005,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res_hist_2010,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res_hist_2015,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res_hist_2020,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res1,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res2,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res3,0.15,0.3,0.53,0.53,0.65,0.75
+wind_res4,0.15,0.3,0.53,0.53,0.65,0.75
+dac_lt,0.1,0.3,0.5,0.7,0.9
+dac_hte,0.1,0.3,0.5,0.7,0.9
+dac_htg,0.1,0.3,0.5,0.7,0.9
diff --git a/message_ix_models/data/costs/energy/scenarios_reduction.csv b/message_ix_models/data/costs/energy/scenarios_reduction.csv
index 2cfe0d1064..dcacdeeff7 100755
--- a/message_ix_models/data/costs/energy/scenarios_reduction.csv
+++ b/message_ix_models/data/costs/energy/scenarios_reduction.csv
@@ -1,88 +1,94 @@
-message_technology,SSP1,SSP2,SSP3,SSP4,SSP5,LED
-bio_istig,high,medium,low,high,medium,medium
-bio_istig_ccs,medium,medium,low,high,high,medium
-bio_ppl,high,medium,low,high,medium,medium
-bio_ppl_co2scr,medium,medium,low,high,high,medium
-biomass_i,high,medium,low,high,medium,medium
-c_ppl_co2scr,medium,medium,low,high,high,medium
-coal_adv,medium,medium,high,medium,medium,low
-coal_adv_ccs,medium,medium,low,high,high,medium
-coal_i,medium,medium,high,medium,medium,medium
-coal_ppl,medium,medium,high,medium,medium,low
-coal_ppl_u,medium,medium,high,medium,medium,medium
-csp_sm1_ppl,high,medium,low,high,medium,very_high
-csp_sm3_ppl,high,medium,low,high,medium,very_high
-elec_i,low,low,low,low,low,low
-eth_bio,high,medium,low,high,medium,medium
-eth_bio_ccs,medium,medium,low,high,high,medium
-eth_i,high,medium,low,high,medium,medium
-foil_i,high,medium,low,medium,high,medium
-g_ppl_co2scr,medium,medium,low,high,high,medium
-gas_cc,high,medium,low,medium,high,medium
-gas_cc_ccs,medium,medium,low,high,high,medium
-gas_ct,high,medium,low,medium,high,medium
-gas_i,high,medium,low,medium,high,medium
-gas_ppl,high,medium,low,medium,high,medium
-geo_hpl,high,medium,low,high,medium,medium
-geo_ppl,high,medium,low,high,medium,medium
-h2_bio,high,medium,low,high,medium,medium
-h2_bio_ccs,high,medium,low,high,medium,medium
-h2_coal,medium,medium,high,medium,medium,medium
-h2_coal_ccs,medium,medium,high,medium,medium,medium
-h2_elec,high,medium,low,high,medium,medium
-h2_i,low,low,low,low,low,low
-h2_smr,high,medium,low,medium,high,medium
-h2_smr_ccs,medium,medium,low,high,high,medium
-heat_i,low,low,low,low,low,low
-hp_el_i,high,medium,low,high,medium,medium
-hp_gas_i,high,medium,low,medium,high,medium
-hydro_hc,high,medium,low,high,medium,medium
-hydro_lc,high,medium,low,high,medium,medium
-igcc,medium,medium,high,medium,medium,medium
-igcc_ccs,medium,medium,low,high,high,medium
-liq_bio,high,medium,low,high,medium,medium
-liq_bio_ccs,high,medium,low,high,medium,medium
-loil_i,high,medium,low,medium,high,medium
-meth_coal,medium,medium,high,medium,medium,medium
-meth_coal_ccs,medium,medium,high,medium,medium,medium
-meth_i,medium,medium,high,medium,medium,medium
-meth_ng,high,medium,low,medium,high,medium
-meth_ng_ccs,high,medium,low,medium,high,medium
-nuc_hc,medium,medium,low,high,high,medium
-nuc_lc,medium,medium,low,high,high,medium
-solar_i,high,medium,low,high,medium,medium
-solar_pv_I,high,medium,low,high,medium,very_high
-solar_pv_RC,high,medium,low,high,medium,very_high
-solar_res_hist_2005,high,medium,low,high,medium,very_high
-solar_res_hist_2010,high,medium,low,high,medium,very_high
-solar_res_hist_2015,high,medium,low,high,medium,very_high
-solar_res_hist_2020,high,medium,low,high,medium,very_high
-solar_res1,high,medium,low,high,medium,very_high
-solar_res2,high,medium,low,high,medium,very_high
-solar_res3,high,medium,low,high,medium,very_high
-solar_res4,high,medium,low,high,medium,very_high
-solar_res5,high,medium,low,high,medium,very_high
-solar_res6,high,medium,low,high,medium,very_high
-solar_res7,high,medium,low,high,medium,very_high
-solar_res8,high,medium,low,high,medium,very_high
-solar_th_ppl,high,medium,low,high,medium,very_high
-stor_ppl,high,medium,low,high,medium,very_high
-syn_liq,medium,medium,high,medium,medium,medium
-syn_liq_ccs,medium,medium,high,medium,medium,medium
-wind_ref_hist_2005,high,medium,low,high,medium,very_high
-wind_ref_hist_2010,high,medium,low,high,medium,very_high
-wind_ref_hist_2015,high,medium,low,high,medium,very_high
-wind_ref_hist_2020,high,medium,low,high,medium,very_high
-wind_ref1,high,medium,low,high,medium,very_high
-wind_ref2,high,medium,low,high,medium,very_high
-wind_ref3,high,medium,low,high,medium,very_high
-wind_ref4,high,medium,low,high,medium,very_high
-wind_ref5,high,medium,low,high,medium,very_high
-wind_res_hist_2005,high,medium,low,high,medium,very_high
-wind_res_hist_2010,high,medium,low,high,medium,very_high
-wind_res_hist_2015,high,medium,low,high,medium,very_high
-wind_res_hist_2020,high,medium,low,high,medium,very_high
-wind_res1,high,medium,low,high,medium,very_high
-wind_res2,high,medium,low,high,medium,very_high
-wind_res3,high,medium,low,high,medium,very_high
-wind_res4,high,medium,low,high,medium,very_high
\ No newline at end of file
+message_technology,SSP1,SSP2,SSP3,SSP4,SSP5,LED
+bio_istig,high,medium,low,high,medium,medium
+bio_istig_ccs,medium,medium,low,high,high,medium
+bio_ppl,high,medium,low,high,medium,medium
+bio_ppl_co2scr,medium,medium,low,high,high,medium
+biomass_i,high,medium,low,high,medium,medium
+c_ppl_co2scr,medium,medium,low,high,high,medium
+coal_adv,medium,medium,high,medium,medium,low
+coal_adv_ccs,medium,medium,low,high,high,medium
+coal_i,medium,medium,high,medium,medium,medium
+coal_ppl,medium,medium,high,medium,medium,low
+coal_ppl_u,medium,medium,high,medium,medium,medium
+csp_sm1_ppl,high,medium,low,high,medium,very_high
+csp_sm3_ppl,high,medium,low,high,medium,very_high
+elec_i,low,low,low,low,low,low
+eth_bio,high,medium,low,high,medium,medium
+eth_bio_ccs,medium,medium,low,high,high,medium
+eth_i,high,medium,low,high,medium,medium
+foil_i,high,medium,low,medium,high,medium
+g_ppl_co2scr,medium,medium,low,high,high,medium
+gas_cc,high,medium,low,medium,high,medium
+gas_cc_ccs,medium,medium,low,high,high,medium
+gas_ct,high,medium,low,medium,high,medium
+gas_i,high,medium,low,medium,high,medium
+gas_ppl,high,medium,low,medium,high,medium
+geo_hpl,high,medium,low,high,medium,medium
+geo_ppl,high,medium,low,high,medium,medium
+h2_bio,high,medium,low,high,medium,medium
+h2_bio_ccs,high,medium,low,high,medium,medium
+h2_coal,medium,medium,high,medium,medium,medium
+h2_coal_ccs,medium,medium,high,medium,medium,medium
+h2_elec,high,medium,low,high,medium,medium
+h2_i,low,low,low,low,low,low
+h2_smr,high,medium,low,medium,high,medium
+h2_smr_ccs,medium,medium,low,high,high,medium
+heat_i,low,low,low,low,low,low
+hp_el_i,high,medium,low,high,medium,medium
+hp_gas_i,high,medium,low,medium,high,medium
+hydro_hc,high,medium,low,high,medium,medium
+hydro_lc,high,medium,low,high,medium,medium
+igcc,medium,medium,high,medium,medium,medium
+igcc_ccs,medium,medium,low,high,high,medium
+liq_bio,high,medium,low,high,medium,medium
+liq_bio_ccs,high,medium,low,high,medium,medium
+loil_i,high,medium,low,medium,high,medium
+meth_coal,very_low,medium,very_high,medium,low,medium
+meth_coal_ccs,very_low,medium,very_high,medium,low,medium
+meth_i,medium,medium,high,medium,medium,medium
+meth_ng,high,medium,low,medium,high,medium
+meth_ng_ccs,high,medium,low,medium,high,medium
+nuc_hc,medium,medium,low,high,very_high,medium
+nuc_lc,medium,medium,low,high,very_high,medium
+solar_i,high,medium,low,high,medium,medium
+solar_pv_I,high,medium,low,high,medium,very_high
+solar_pv_RC,high,medium,low,high,medium,very_high
+solar_res_hist_2000,high,medium,low,high,low_medium,very_high
+solar_res_hist_2005,high,medium,low,high,low_medium,very_high
+solar_res_hist_2010,high,medium,low,high,low_medium,very_high
+solar_res_hist_2015,high,medium,low,high,low_medium,very_high
+solar_res_hist_2020,high,medium,low,high,low_medium,very_high
+solar_res1,high,medium,low,high,low_medium,very_high
+solar_res2,high,medium,low,high,low_medium,very_high
+solar_res3,high,medium,low,high,low_medium,very_high
+solar_res4,high,medium,low,high,low_medium,very_high
+solar_res5,high,medium,low,high,low_medium,very_high
+solar_res6,high,medium,low,high,low_medium,very_high
+solar_res7,high,medium,low,high,low_medium,very_high
+solar_res8,high,medium,low,high,low_medium,very_high
+solar_th_ppl,high,medium,low,high,medium,very_high
+stor_ppl,high,medium,low,high,medium,very_high
+syn_liq,medium,medium,high,medium,medium,medium
+syn_liq_ccs,medium,medium,high,medium,medium,medium
+wind_ref_hist_2000,high,medium,low,high,medium,very_high
+wind_ref_hist_2005,high,medium,low,high,medium,very_high
+wind_ref_hist_2010,high,medium,low,high,medium,very_high
+wind_ref_hist_2015,high,medium,low,high,medium,very_high
+wind_ref_hist_2020,high,medium,low,high,medium,very_high
+wind_ref1,high,medium,low,high,medium,very_high
+wind_ref2,high,medium,low,high,medium,very_high
+wind_ref3,high,medium,low,high,medium,very_high
+wind_ref4,high,medium,low,high,medium,very_high
+wind_ref5,high,medium,low,high,medium,very_high
+wind_res_hist_2000,high,medium,low,high,medium,very_high
+wind_res_hist_2005,high,medium,low,high,medium,very_high
+wind_res_hist_2010,high,medium,low,high,medium,very_high
+wind_res_hist_2015,high,medium,low,high,medium,very_high
+wind_res_hist_2020,high,medium,low,high,medium,very_high
+wind_res1,high,medium,low,high,medium,very_high
+wind_res2,high,medium,low,high,medium,very_high
+wind_res3,high,medium,low,high,medium,very_high
+wind_res4,high,medium,low,high,medium,very_high
+dac_lt,low,medium,medium,high,high,low
+dac_hte,low,medium,medium,high,high,low
+dac_htg,low,medium,medium,high,high,low
diff --git a/message_ix_models/data/costs/energy/tech_map.csv b/message_ix_models/data/costs/energy/tech_map.csv
index c0aa0f0509..41da82a823 100644
--- a/message_ix_models/data/costs/energy/tech_map.csv
+++ b/message_ix_models/data/costs/energy/tech_map.csv
@@ -8,23 +8,23 @@ bio_istig,weo,igcc,4064,,2010
 bio_istig_ccs,weo,igcc_ccs,5883,,2030
 bio_ppl,weo,bioenergy_large,2025,,2005
 bio_ppl_co2scr,weo,igcc_ccs,1466,,2030
-biomass_i,weo,bioenergy_medium_chp,250,,1985
+biomass_i,weo,bioenergy_medium_chp,250,0.2626,1985
 c_ppl_co2scr,weo,pulverized_coal_ccs,1222,,2030
 coal_adv,weo,steam_coal_supercritical,1701,,2010
 coal_adv_ccs,weo,pulverized_coal_ccs,4536,,2030
 coal_gas,weo,igcc,850,,
 coal_hpl,weo,steam_coal_subcritical,275,,
-coal_i,weo,steam_coal_subcritical,170,,1985
+coal_i,weo,steam_coal_subcritical,170,0.3499,1985
 coal_ppl,weo,steam_coal_subcritical,1458,,2005
 coal_ppl_u,weo,steam_coal_subcritical,1016,,2005
 csp_sm1_ppl,weo,csp,4609,,2010
 csp_sm3_ppl,weo,csp,9932,,2010
-elec_i,weo,ccgt_chp,50,,1985
+elec_i,weo,ccgt_chp,50,0.2379,1985
 eth_bio,weo,igcc,2614,,2005
 eth_bio_ccs,weo,igcc_ccs,3941,,2030
-eth_i,weo,bioenergy_medium_chp,93,,2010
+eth_i,weo,bioenergy_medium_chp,93,0.1629,2010
 foil_hpl,weo,ccgt_chp,155,,
-foil_i,weo,ccgt_chp,107,,1985
+foil_i,weo,ccgt_chp,107,0.278,1985
 foil_ppl,weo,ccgt_chp,730,,
 g_ppl_co2scr,weo,ccgt_ccs,751,,2030
 gas_bio,weo,bioenergy_large,670,,
@@ -32,7 +32,7 @@ gas_cc,weo,ccgt,810,,2005
 gas_cc_ccs,weo,ccgt_ccs,2511,,2030
 gas_ct,weo,gas_turbine,405,,2005
 gas_hpl,weo,gas_turbine,95,,
-gas_i,weo,gas_turbine,97,,1985
+gas_i,weo,gas_turbine,97,0.183960,1985
 gas_ppl,weo,gas_turbine,1205,,2005
 geo_hpl,weo,geothermal,1500,,1986
 geo_ppl,weo,geothermal,2928,,2005
@@ -48,8 +48,8 @@ h2_i,weo,ccgt_chp,97,,2030
 h2_liq,weo,igcc,820,,
 h2_smr,weo,igcc,737,,2010
 h2_smr_ccs,weo,igcc_ccs,1361,,2030
-heat_i,weo,ccgt_chp,50,,1985
-hp_el_i,weo,ccgt_chp,800,,2010
+heat_i,weo,ccgt_chp,50,0.238,1985
+hp_el_i,weo,ccgt_chp,800,0.1338,2010
 hp_gas_i,weo,ccgt_chp,880,,2010
 hydro_hc,weo,hydropower_small,3280,,2005
 hydro_lc,weo,hydropower_large,2187,,2005
@@ -58,16 +58,16 @@ igcc_ccs,weo,igcc_ccs,4819,,2030
 liq_bio,weo,igcc,4264,,2020
 liq_bio_ccs,weo,igcc,4344,,2030
 loil_cc,weo,igcc,800,,
-loil_i,weo,ccgt_chp,93,,1985
+loil_i,weo,ccgt_chp,93,0.1919,1985
 loil_ppl,weo,igcc,600,,
 meth_coal,weo,igcc,2348,,2020
 meth_coal_ccs,weo,igcc,2385,,2030
-meth_i,weo,gas_turbine,93,,2010
+meth_i,weo,gas_turbine,93,0.1629,2010
 meth_ng,weo,igcc,1234,,2020
 meth_ng_ccs,weo,igcc,1339,,2030
 nuc_hc,weo,nuclear,5000,,2005
 nuc_lc,weo,nuclear,3800,,2005
-solar_i,weo,solarpv_buildings,737,,2010
+solar_i,weo,solarpv_buildings,737,0.05455,2010
 solar_pv_I,weo,solarpv_buildings,1189,,2005
 solar_pv_RC,weo,solarpv_buildings,,,2005
 solar_res1,weo,solarpv_large,,,2020
@@ -102,4 +102,7 @@ wind_res4,weo,wind_onshore,1181,,2020
 wind_res_hist_2005,weo,wind_onshore,1181,,2020
 wind_res_hist_2010,weo,wind_onshore,1181,,2020
 wind_res_hist_2015,weo,wind_onshore,1181,,2020
-wind_res_hist_2020,weo,wind_onshore,1181,,2020
\ No newline at end of file
+wind_res_hist_2020,weo,wind_onshore,1181,,2020
+dac_lt,weo,igcc_ccs,4000,,2030
+dac_hte,weo,igcc_ccs,5000,,2030
+dac_htg,weo,igcc_ccs,5500,,2030
diff --git a/message_ix_models/data/costs/materials/cost_reduction.csv b/message_ix_models/data/costs/materials/cost_reduction.csv
index eff340b574..6aeeb07dc4 100755
--- a/message_ix_models/data/costs/materials/cost_reduction.csv
+++ b/message_ix_models/data/costs/materials/cost_reduction.csv
@@ -1,4 +1,13 @@
 # Cost reduction in 2100,,,,,
 # ,,,,,
 # Units: %  ,,,,,
-message_technology,very_low,low,medium,high,very_high
\ No newline at end of file
+message_technology,very_low,low,medium,high,very_high
+bf_steel,0,0.1,0.2,0.3,0.4
+bof_steel,0,0.1,0.2,0.3,0.4
+dri_steel,0,0.1,0.2,0.3,0.4
+dri_h2_steel,0,0.1,0.2,0.3,0.4
+eaf_steel,0,0.1,0.2,0.3,0.4
+bf_ccs_steel,0,0.1,0.3,0.5,0.7
+dri_gas_ccs_steel,0,0.1,0.3,0.5,0.7
+clinker_dry_ccs_cement,0,0.1,0.3,0.5,0.7
+clinker_wet_ccs_cement,0,0.1,0.3,0.5,0.7
diff --git a/message_ix_models/data/costs/materials/scenarios_reduction.csv b/message_ix_models/data/costs/materials/scenarios_reduction.csv
index f084dbbf07..eedfcc3925 100755
--- a/message_ix_models/data/costs/materials/scenarios_reduction.csv
+++ b/message_ix_models/data/costs/materials/scenarios_reduction.csv
@@ -1 +1,10 @@
-message_technology,SSP1,SSP2,SSP3,SSP4,SSP5,LED
\ No newline at end of file
+message_technology,SSP1,SSP2,SSP3,SSP4,SSP5,LED
+bf_steel,very_low,medium,high,medium,high,very_low
+bof_steel,very_low,medium,high,medium,high,very_low
+dri_steel,medium,medium,low,medium,high,medium
+dri_h2_steel,very_high,low,very_low,medium,low,very_high
+eaf_steel,high,medium,low,medium,low,high
+bf_ccs_steel,medium,medium,low,high,high,medium
+dri_gas_ccs_steel,medium,medium,low,high,high,medium
+clinker_dry_ccs_cement,medium,medium,low,high,high,medium
+clinker_wet_ccs_cement,medium,medium,low,high,high,medium
diff --git a/message_ix_models/data/costs/materials/tech_map.csv b/message_ix_models/data/costs/materials/tech_map.csv
index f528fba592..e70f110e5e 100644
--- a/message_ix_models/data/costs/materials/tech_map.csv
+++ b/message_ix_models/data/costs/materials/tech_map.csv
@@ -7,34 +7,37 @@ DUMMY_gas_supply,"","",,,
 DUMMY_limestone_supply_cement,"","",,,
 DUMMY_limestone_supply_steel,"","",,,
 DUMMY_ore_supply,"","",,,
-MTO_petro,intratec,"",870.3849175,0.037,2020
-NH3_to_N_fertil,"","",2537.625418,0.04,1995
+MTO_petro,intratec,"",870.38,0.037,2020
+NH3_to_N_fertil,"","",2537.62,0.04,1995
 agg_ref,"","",,,
-atm_distillation_ref,"","",30.25954286,0.021,1980
-bf_steel,"","",90.65,0.1,1990
+atm_distillation_ref,"","",30.26,0.021,1980
+bf_ccs_steel,"","",268.7,0,2030
+bf_steel,"","",240.4,0.1,1990
 biomass_NH3,energy,igcc,3646.957331,0.036,1995
-biomass_NH3_ccs,energy,igcc,3876.680306,0.038,1995
-bof_steel,"","",160.71,0.089,1990
-catalytic_cracking_ref,"","",181.5572571,0.022,1980
-catalytic_reforming_ref,"","",181.5572571,0.003,1980
-clinker_dry_ccs_cement,"","",180,0.167,1980
+biomass_NH3_ccs,energy,igcc,3876.68,0.038,1995
+bof_steel,"","",113.4,0.089,1990
+catalytic_cracking_ref,"","",181.56,0.022,1980
+catalytic_reforming_ref,"","",181.56,0.003,1980
+clinker_dry_ccs_cement,"","",172.5,0.167,1980
 clinker_dry_cement,"","",131.5,0.001,1980
-clinker_wet_ccs_cement,"","",180,0.167,1980
+clinker_wet_ccs_cement,"","",172.5,0.167,1980
 clinker_wet_cement,"","",131.5,0.001,1980
-coal_NH3,energy,igcc,2917.565865,0.036,1995
-coal_NH3_ccs,energy,igcc,3087.128546,0.038,1995
+coal_NH3,energy,igcc,2917.56,0.036,1995
+coal_NH3_ccs,energy,igcc,3087.13,0.038,1995
 cokeoven_steel,"","",21.51,0.001,1990
-coking_ref,"","",235.4813143,0.021,1980
+coking_ref,"","",235.48,0.021,1980
 dheat_aluminum,energy,heat_i,27.69,0.271,2030
 dheat_cement,energy,heat_i,27.69,0.271,2030
 dheat_petro,energy,heat_i,27.69,0.271,2030
 dheat_refining,energy,heat_i,27.69,0.271,2030
 dheat_resins,energy,heat_i,27.69,0.271,2030
 dheat_steel,energy,heat_i,27.69,0.271,2030
-dri_steel,"","",145,0,1990
-eaf_steel,"","",107.6768,0.496,1990
-electr_NH3,"","",3824.857689,0.04,1995
-ethanol_to_ethylene_petro,"","",1176.470588,0.025,1980
+dri_h2_steel,"","",33.15,0,2030
+dri_gas_ccs_steel,"","",133,0,2030
+dri_steel,"","",163.9,0,1990
+eaf_steel,"","",107.68,0.496,1990
+electr_NH3,"","",3824.86,0.04,1995
+ethanol_to_ethylene_petro,"","",1176.47,0.025,1980
 export_NFert,"","",500,0,2005
 export_NH3,"","",500,0,2005
 export_aluminum,"","",500,0,1985
@@ -49,8 +52,8 @@ fc_h2_steel,energy,h2_fc_I,1909,0,2030
 feedstock_t/d,"","",,,
 finishing_aluminum,"","",,,
 finishing_steel,"","",228.92,0.1,1990
-fueloil_NH3,energy,igcc,3282.261598,0.036,1995
-fueloil_NH3_ccs,energy,igcc,3473.019614,0.038,1995
+fueloil_NH3,energy,igcc,3282.26,0.036,1995
+fueloil_NH3_ccs,energy,igcc,3473.02,0.038,1995
 furnace_biomass_aluminum,energy,biomass_i,154.32,0.267,1980
 furnace_biomass_cement,energy,biomass_i,154.32,0.267,1980
 furnace_biomass_petro,energy,biomass_i,154.32,0.267,1980
@@ -101,12 +104,12 @@ furnace_loil_petro,energy,loil_i,51.51,0.218,1980
 furnace_loil_refining,energy,loil_i,51.51,0.218,1980
 furnace_loil_resins,energy,loil_i,51.51,0.218,1980
 furnace_loil_steel,energy,loil_i,51.51,0.218,1980
-furnace_methanol_aluminum,energy,meth_i,57.4099999999999,0.165,2020
-furnace_methanol_cement,energy,meth_i,57.4099999999999,0.165,2020
-furnace_methanol_petro,energy,meth_i,57.4099999999999,0.165,2020
-furnace_methanol_refining,energy,meth_i,57.4099999999999,0.165,2020
-furnace_methanol_resins,energy,meth_i,57.4099999999999,0.165,2020
-furnace_methanol_steel,energy,meth_i,57.4099999999999,0.165,2020
+furnace_methanol_aluminum,energy,meth_i,57.41,0.165,2020
+furnace_methanol_cement,energy,meth_i,57.41,0.165,2020
+furnace_methanol_petro,energy,meth_i,57.41,0.165,2020
+furnace_methanol_refining,energy,meth_i,57.41,0.165,2020
+furnace_methanol_resins,energy,meth_i,57.41,0.165,2020
+furnace_methanol_steel,energy,meth_i,57.41,0.165,2020
 gas_NH3,energy,igcc,2188.174399,0.036,1995
 gas_NH3_ccs,energy,igcc,2935.967579,0.038,1995
 gas_processing_petro,"","",,,
@@ -134,12 +137,12 @@ import_steel,"","",,,
 manuf_aluminum,"","",,,
 manuf_steel,"","",228.92,0,1990
 meth_bal,"","",,,
-meth_bio,energy,meth_coal,2407.596309,0.034,2020
-meth_bio_ccs,energy,meth_coal,2503.380896,0.037,2030
+meth_bio,energy,meth_coal,2407.6,0.034,2020
+meth_bio_ccs,energy,meth_coal,2503.38,0.037,2030
 meth_coal,energy,meth_coal,842,0.034,2000
 meth_coal_ccs,energy,meth_coal,1234.63,0.042,2030
 meth_exp,"","",235,0,2020
-meth_h2,intratec,"",187.2054389,0.109,2020
+meth_h2,intratec,"",187.2,0.109,2020
 meth_imp,"","",,,
 meth_ng,energy,meth_ng,350,0.022,2000
 meth_ng_ccs,energy,meth_ng,500,0.023,2030
@@ -181,5 +184,5 @@ trade_NH3,"","",,,
 trade_aluminum,"","",,,
 trade_petro,"","",,,
 trade_steel,"","",,,
-vacuum_distillation_ref,"","",21.99636,0.02,1980
-visbreaker_ref,"","",55.47582857,0.021,1980
+vacuum_distillation_ref,"","",22,0.02,1980
+visbreaker_ref,"","",55.5,0.021,1980
diff --git a/message_ix_models/data/material/aluminum/LED/aluminum_techno_economic.xlsx b/message_ix_models/data/material/aluminum/LED/aluminum_techno_economic.xlsx
new file mode 100644
index 0000000000..a0560e7129
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/LED/aluminum_techno_economic.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17604127e3b8dbed3e458124ff6ca821a3134fd90d6067349ffc4533f3578574
+size 55620
diff --git a/message_ix_models/data/material/aluminum/MetallurgicalAluminaRefiningFuelConsumption_1985-2023_File_8CountryOrRegion.csv b/message_ix_models/data/material/aluminum/MetallurgicalAluminaRefiningFuelConsumption_1985-2023_File_8CountryOrRegion.csv
new file mode 100644
index 0000000000..f433a23ec2
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/MetallurgicalAluminaRefiningFuelConsumption_1985-2023_File_8CountryOrRegion.csv
@@ -0,0 +1,313 @@
+"Period from";"Period to";Row;"Row group";"Africa & Asia (ex China)";"North America";"South America";Oceania;Europe;China;"World Reported";"Estimated Unreported"
+1985-01-01;1985-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;30529000.0;0.0
+1985-01-01;1985-12-31;"Reporting Production (tonnes)";;1254968.0;4133012.0;2880799.0;9289367.0;3972666.0;0.0;21530812.0;8998188.0
+1985-01-01;1985-12-31;Coal;"FUEL MIX";7339.0;0.0;1205.0;34435.0;2775.0;0;45754.0;0
+1985-01-01;1985-12-31;Oil;"FUEL MIX";11097.0;1533.0;30895.0;31296.0;25082.0;0;99903.0;0
+1985-01-01;1985-12-31;Gas;"FUEL MIX";0.0;43329.0;1.0;51922.0;11502.0;0;106754.0;0
+1985-01-01;1985-12-31;Electricity;"FUEL MIX";1943.0;4933.0;3772.0;5409.0;8830.0;0;24887.0;0
+1985-01-01;1985-12-31;Other;"FUEL MIX";0.0;0.0;0.0;1578.0;544.0;0;2122.0;0
+1985-01-01;1985-12-31;Total;"FUEL MIX";20379.0;49795.0;35873.0;124640.0;48733.0;0;279420.0;117000.0
+1986-01-01;1986-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;31009000.0;0.0
+1986-01-01;1986-12-31;"Reporting Production (tonnes)";;1274299.0;3879885.0;5287120.0;9367960.0;4201137.0;0.0;24010401.0;6998599.0
+1986-01-01;1986-12-31;Coal;"FUEL MIX";6854.0;0.0;1382.0;38775.0;2404.0;0;49415.0;0
+1986-01-01;1986-12-31;Oil;"FUEL MIX";11414.0;653.0;39067.0;26985.0;27658.0;0;105777.0;0
+1986-01-01;1986-12-31;Gas;"FUEL MIX";0.0;39292.0;10503.0;55000.0;11405.0;0;116200.0;0
+1986-01-01;1986-12-31;Electricity;"FUEL MIX";1529.0;4268.0;3430.0;1282.0;8955.0;0;19464.0;0
+1986-01-01;1986-12-31;Other;"FUEL MIX";0.0;451.0;0.0;28.0;522.0;0;1001.0;0
+1986-01-01;1986-12-31;Total;"FUEL MIX";19797.0;44664.0;54382.0;122070.0;50944.0;0;291857.0;86000.0
+1987-01-01;1987-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;33119000.0;0.0
+1987-01-01;1987-12-31;"Reporting Production (tonnes)";;1207022.0;4586863.0;5815450.0;10228116.0;4282569.0;0.0;26120020.0;6998980.0
+1987-01-01;1987-12-31;Coal;"FUEL MIX";8106.0;0.0;2384.0;33414.0;1801.0;0;45705.0;0
+1987-01-01;1987-12-31;Oil;"FUEL MIX";12137.0;1434.0;40786.0;30128.0;30627.0;0;115112.0;0
+1987-01-01;1987-12-31;Gas;"FUEL MIX";0.0;54804.0;11365.0;59014.0;10616.0;0;135799.0;0
+1987-01-01;1987-12-31;Electricity;"FUEL MIX";1503.0;2142.0;3416.0;6232.0;9040.0;0;22333.0;0
+1987-01-01;1987-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;458.0;0;458.0;0
+1987-01-01;1987-12-31;Total;"FUEL MIX";21746.0;58380.0;57951.0;128788.0;52542.0;0;319407.0;86000.0
+1988-01-01;1988-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;34301000.0;0.0
+1988-01-01;1988-12-31;"Reporting Production (tonnes)";;1913977.0;4627693.0;5851636.0;10672488.0;4233302.0;0.0;27299096.0;7001904.0
+1988-01-01;1988-12-31;Coal;"FUEL MIX";11911.0;0.0;2584.0;33801.0;669.0;0;48965.0;0
+1988-01-01;1988-12-31;Oil;"FUEL MIX";15342.0;2992.0;39476.0;29979.0;31967.0;0;119756.0;0
+1988-01-01;1988-12-31;Gas;"FUEL MIX";0.0;58466.0;11988.0;62067.0;9547.0;0;142068.0;0
+1988-01-01;1988-12-31;Electricity;"FUEL MIX";2343.0;391.0;4358.0;6517.0;9123.0;0;22732.0;0
+1988-01-01;1988-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;469.0;0;469.0;0
+1988-01-01;1988-12-31;Total;"FUEL MIX";29596.0;61849.0;58406.0;132364.0;51775.0;0;333990.0;86000.0
+1989-01-01;1989-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;37465000.0;0.0
+1989-01-01;1989-12-31;"Reporting Production (tonnes)";;2238131.0;5334808.0;6673080.0;11054120.0;4163106.0;0.0;29463245.0;8001755.0
+1989-01-01;1989-12-31;Coal;"FUEL MIX";12804.0;0.0;2941.0;34340.0;1341.0;0;51426.0;0
+1989-01-01;1989-12-31;Oil;"FUEL MIX";17323.0;3402.0;56140.0;31461.0;32523.0;0;140849.0;0
+1989-01-01;1989-12-31;Gas;"FUEL MIX";0.0;69258.0;12628.0;63656.0;7182.0;0;152724.0;0
+1989-01-01;1989-12-31;Electricity;"FUEL MIX";2227.0;174.0;4779.0;6942.0;7870.0;0;21992.0;0
+1989-01-01;1989-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;597.0;0;597.0;0
+1989-01-01;1989-12-31;Total;"FUEL MIX";32354.0;72834.0;76488.0;136399.0;49513.0;0;367588.0;100000.0
+1990-01-01;1990-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;38293000.0;0.0
+1990-01-01;1990-12-31;"Reporting Production (tonnes)";;2131719.0;5420732.0;7460285.0;11358233.0;3921838.0;0.0;30292807.0;8000193.0
+1990-01-01;1990-12-31;Coal;"FUEL MIX";14956.0;0.0;3130.0;36526.0;0.0;0;54612.0;0
+1990-01-01;1990-12-31;Oil;"FUEL MIX";13896.0;3354.0;65827.0;26742.0;34099.0;0;143918.0;0
+1990-01-01;1990-12-31;Gas;"FUEL MIX";0.0;67629.0;14044.0;73029.0;5074.0;0;159776.0;0
+1990-01-01;1990-12-31;Electricity;"FUEL MIX";2094.0;1053.0;6410.0;8017.0;7262.0;0;24836.0;0
+1990-01-01;1990-12-31;Other;"FUEL MIX";2070.0;0.0;0.0;0.0;630.0;0;2700.0;0
+1990-01-01;1990-12-31;Total;"FUEL MIX";33016.0;72036.0;89411.0;144314.0;47065.0;0;385842.0;102000.0
+1991-01-01;1991-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;38624000.0;0.0
+1991-01-01;1991-12-31;"Reporting Production (tonnes)";;2177571.0;5429288.0;7782175.0;11826913.0;4407367.0;0.0;31623314.0;7000686.0
+1991-01-01;1991-12-31;Coal;"FUEL MIX";15928.0;0.0;3318.0;36303.0;1776.0;0;57325.0;0
+1991-01-01;1991-12-31;Oil;"FUEL MIX";15461.0;3027.0;70877.0;19133.0;36943.0;0;145441.0;0
+1991-01-01;1991-12-31;Gas;"FUEL MIX";15.0;67816.0;14961.0;83355.0;6304.0;0;172451.0;0
+1991-01-01;1991-12-31;Electricity;"FUEL MIX";2085.0;1293.0;6390.0;8276.0;7925.0;0;25969.0;0
+1991-01-01;1991-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;312.0;0;312.0;0
+1991-01-01;1991-12-31;Total;"FUEL MIX";33489.0;72136.0;95546.0;147067.0;53260.0;0;401498.0;89000.0
+1992-01-01;1992-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;38617000.0;0.0
+1992-01-01;1992-12-31;"Reporting Production (tonnes)";;2221950.0;5281651.0;7720976.0;11851557.0;4540553.0;0.0;31616687.0;7000313.0
+1992-01-01;1992-12-31;Coal;"FUEL MIX";15377.0;0.0;3319.0;38410.0;0.0;0;57106.0;0
+1992-01-01;1992-12-31;Oil;"FUEL MIX";15981.0;3426.0;72385.0;18475.0;38701.0;0;148968.0;0
+1992-01-01;1992-12-31;Gas;"FUEL MIX";0.0;64018.0;13125.0;82964.0;7024.0;0;167131.0;0
+1992-01-01;1992-12-31;Electricity;"FUEL MIX";1980.0;1323.0;6697.0;7664.0;8060.0;0;25724.0;0
+1992-01-01;1992-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;2757.0;0;2757.0;0
+1992-01-01;1992-12-31;Total;"FUEL MIX";33338.0;68767.0;95526.0;147513.0;56542.0;0;401686.0;89000.0
+1993-01-01;1993-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;39010000.0;0.0
+1993-01-01;1993-12-31;"Reporting Production (tonnes)";;2287718.0;5365240.0;7894775.0;12643357.0;4819524.0;0.0;33010614.0;5999386.0
+1993-01-01;1993-12-31;Coal;"FUEL MIX";17206.0;0.0;3304.0;37323.0;0.0;0;57833.0;0
+1993-01-01;1993-12-31;Oil;"FUEL MIX";16716.0;2819.0;73905.0;19108.0;40966.0;0;153514.0;0
+1993-01-01;1993-12-31;Gas;"FUEL MIX";0.0;63408.0;14741.0;80311.0;6624.0;0;165084.0;0
+1993-01-01;1993-12-31;Electricity;"FUEL MIX";1874.0;2836.0;7623.0;7373.0;9419.0;0;29125.0;0
+1993-01-01;1993-12-31;Other;"FUEL MIX";116.0;0.0;0.0;0.0;2099.0;0;2215.0;0
+1993-01-01;1993-12-31;Total;"FUEL MIX";35912.0;69063.0;99573.0;144115.0;59108.0;0;407771.0;74000.0
+1994-01-01;1994-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;38253000.0;0.0
+1994-01-01;1994-12-31;"Reporting Production (tonnes)";;2279393.0;4991623.0;8177524.0;12853311.0;4699911.0;0.0;33001762.0;5251238.0
+1994-01-01;1994-12-31;Coal;"FUEL MIX";16092.0;0.0;3616.0;39456.0;0.0;0;59164.0;0
+1994-01-01;1994-12-31;Oil;"FUEL MIX";16402.0;2225.0;77098.0;19001.0;37924.0;0;152650.0;0
+1994-01-01;1994-12-31;Gas;"FUEL MIX";176.0;56160.0;16212.0;82009.0;6187.0;0;160744.0;0
+1994-01-01;1994-12-31;Electricity;"FUEL MIX";1717.0;3147.0;6468.0;7350.0;9225.0;0;27907.0;0
+1994-01-01;1994-12-31;Other;"FUEL MIX";188.0;0.0;0.0;0.0;1763.0;0;1951.0;0
+1994-01-01;1994-12-31;Total;"FUEL MIX";34575.0;61532.0;103394.0;147816.0;55099.0;0;402416.0;64000.0
+1995-01-01;1995-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;40006000.0;0.0
+1995-01-01;1995-12-31;"Reporting Production (tonnes)";;2393262.0;5157184.0;8216356.0;13244083.0;4854367.0;0.0;33865252.0;6140748.0
+1995-01-01;1995-12-31;Coal;"FUEL MIX";16717.0;0.0;4000.0;40799.0;0.0;0;61516.0;0
+1995-01-01;1995-12-31;Oil;"FUEL MIX";17040.0;994.0;79106.0;19451.0;40825.0;0;157416.0;0
+1995-01-01;1995-12-31;Gas;"FUEL MIX";0.0;58665.0;17334.0;95068.0;6017.0;0;177084.0;0
+1995-01-01;1995-12-31;Electricity;"FUEL MIX";1951.0;4952.0;4681.0;7601.0;9572.0;0;28757.0;0
+1995-01-01;1995-12-31;Other;"FUEL MIX";347.0;0.0;0.0;0.0;2297.0;0;2644.0;0
+1995-01-01;1995-12-31;Total;"FUEL MIX";36055.0;64611.0;105121.0;162919.0;58711.0;0;427417.0;78000.0
+1996-01-01;1996-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;41265000.0;0.0
+1996-01-01;1996-12-31;"Reporting Production (tonnes)";;2225531.0;5317105.0;9309374.0;13090269.0;3975131.0;0.0;33917410.0;7347590.0
+1996-01-01;1996-12-31;Coal;"FUEL MIX";17364.0;0.0;4081.0;40098.0;0.0;0;61543.0;0
+1996-01-01;1996-12-31;Oil;"FUEL MIX";16901.0;2948.0;86967.0;19838.0;38380.0;0;165034.0;0
+1996-01-01;1996-12-31;Gas;"FUEL MIX";0.0;61924.0;19536.0;92564.0;354.0;0;174378.0;0
+1996-01-01;1996-12-31;Electricity;"FUEL MIX";1972.0;2487.0;6526.0;7367.0;7736.0;0;26088.0;0
+1996-01-01;1996-12-31;Other;"FUEL MIX";385.0;0.0;0.0;0.0;1181.0;0;1566.0;0
+1996-01-01;1996-12-31;Total;"FUEL MIX";36622.0;67359.0;117110.0;159867.0;47651.0;0;428609.0;93000.0
+1997-01-01;1997-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;41463000.0;0.0
+1997-01-01;1997-12-31;"Reporting Production (tonnes)";;2215097.0;4537275.0;9985287.0;13512239.0;4211964.0;0.0;34461862.0;7001138.0
+1997-01-01;1997-12-31;Coal;"FUEL MIX";17736.0;0.0;4144.0;39569.0;0.0;0;61449.0;0
+1997-01-01;1997-12-31;Oil;"FUEL MIX";15652.0;1935.0;89054.0;19998.0;42123.0;0;168762.0;0
+1997-01-01;1997-12-31;Gas;"FUEL MIX";0.0;46306.0;19566.0;98841.0;305.0;0;165018.0;0
+1997-01-01;1997-12-31;Electricity;"FUEL MIX";2007.0;3285.0;7578.0;7375.0;7986.0;0;28231.0;0
+1997-01-01;1997-12-31;Other;"FUEL MIX";835.0;0.0;0.0;0.0;933.0;0;1768.0;0
+1997-01-01;1997-12-31;Total;"FUEL MIX";36230.0;51526.0;120342.0;165783.0;51347.0;0;425228.0;86000.0
+1998-01-01;1998-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;44605000.0;0.0
+1998-01-01;1998-12-31;"Reporting Production (tonnes)";;2224190.0;4409912.0;10559433.0;13886090.0;3195479.0;3330000.0;37605104.0;6999896.0
+1998-01-01;1998-12-31;Coal;"FUEL MIX";18462.0;0.0;7756.0;40460.0;0.0;98055.0;164733.0;0
+1998-01-01;1998-12-31;Oil;"FUEL MIX";16838.0;2141.0;96011.0;20524.0;34359.0;6170.0;176043.0;0
+1998-01-01;1998-12-31;Gas;"FUEL MIX";0.0;43054.0;17643.0;99703.0;311.0;17048.0;177759.0;0
+1998-01-01;1998-12-31;Electricity;"FUEL MIX";3215.0;3423.0;6820.0;7701.0;6508.0;12678.0;40345.0;0
+1998-01-01;1998-12-31;Other;"FUEL MIX";338.0;0.0;0.0;0.0;463.0;1353.0;2154.0;0
+1998-01-01;1998-12-31;Total;"FUEL MIX";38853.0;48618.0;128230.0;168388.0;41641.0;135305.0;561035.0;105000.0
+1999-01-01;1999-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;46227000.0;0.0
+1999-01-01;1999-12-31;"Reporting Production (tonnes)";;2345056.0;4540434.0;10828260.0;14398522.0;3275755.0;3840000.0;39228027.0;6998973.0
+1999-01-01;1999-12-31;Coal;"FUEL MIX";20199.0;0.0;8634.0;42781.0;0.0;106522.0;178136.0;0
+1999-01-01;1999-12-31;Oil;"FUEL MIX";16541.0;2607.0;96080.0;19821.0;35048.0;6703.0;176800.0;0
+1999-01-01;1999-12-31;Gas;"FUEL MIX";0.0;44706.0;17222.0;101736.0;304.0;18520.0;182488.0;0
+1999-01-01;1999-12-31;Electricity;"FUEL MIX";2970.0;3872.0;4857.0;7921.0;6390.0;13773.0;39783.0;0
+1999-01-01;1999-12-31;Other;"FUEL MIX";405.0;0.0;0.0;0.0;460.0;1470.0;2335.0;0
+1999-01-01;1999-12-31;Total;"FUEL MIX";40115.0;51185.0;126793.0;172259.0;42202.0;146988.0;579542.0;104000.0
+2000-01-01;2000-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;48241000.0;0.0
+2000-01-01;2000-12-31;"Reporting Production (tonnes)";;2139498.0;4425984.0;11499676.0;15388140.0;3458197.0;4330000.0;41241495.0;6999505.0
+2000-01-01;2000-12-31;Coal;"FUEL MIX";19115.0;0.0;7636.0;42527.0;0.0;111849.0;181127.0;0
+2000-01-01;2000-12-31;Oil;"FUEL MIX";13533.0;1840.0;105256.0;18915.0;36213.0;7038.0;182795.0;0
+2000-01-01;2000-12-31;Gas;"FUEL MIX";0.0;44983.0;19862.0;105766.0;357.0;19447.0;190415.0;0
+2000-01-01;2000-12-31;Electricity;"FUEL MIX";2734.0;4756.0;4123.0;7748.0;6601.0;14462.0;40424.0;0
+2000-01-01;2000-12-31;Other;"FUEL MIX";320.0;0.0;0.0;0.0;497.0;1543.0;2360.0;0
+2000-01-01;2000-12-31;Total;"FUEL MIX";35702.0;51579.0;136877.0;174956.0;43668.0;154339.0;597121.0;102000.0
+2001-01-01;2001-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;47991000.0;0.0
+2001-01-01;2001-12-31;"Reporting Production (tonnes)";;2435355.0;3574285.0;10814070.0;16098291.0;3417048.0;4650000.0;40989049.0;7001951.0
+2001-01-01;2001-12-31;Coal;"FUEL MIX";21541.0;0.0;4662.0;43730.0;0.0;116904.0;186837.0;0
+2001-01-01;2001-12-31;Oil;"FUEL MIX";15294.0;3742.0;97733.0;20569.0;36688.0;7356.0;181382.0;0
+2001-01-01;2001-12-31;Gas;"FUEL MIX";0.0;31967.0;21283.0;108019.0;329.0;20325.0;181923.0;0
+2001-01-01;2001-12-31;Electricity;"FUEL MIX";720.0;3901.0;4008.0;6162.0;6725.0;15115.0;36631.0;0
+2001-01-01;2001-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;454.0;1613.0;2067.0;0
+2001-01-01;2001-12-31;Total;"FUEL MIX";37555.0;39610.0;127686.0;178480.0;44196.0;161313.0;588840.0;101000.0
+2002-01-01;2002-12-31;"Alumina Production (tonnes)";;0;0;0;0;0;0;51092000.0;0.0
+2002-01-01;2002-12-31;"Reporting Production (tonnes)";;2916244.0;3771323.0;11185144.0;16187271.0;4582304.0;5450000.0;44092286.0;6999714.0
+2002-01-01;2002-12-31;Coal;"FUEL MIX";20391.0;0.0;3824.0;43786.0;0.0;134082.0;202083.0;0
+2002-01-01;2002-12-31;Oil;"FUEL MIX";16591.0;2720.0;100649.0;21514.0;49279.0;8437.0;199190.0;0
+2002-01-01;2002-12-31;Gas;"FUEL MIX";0.0;38587.0;19013.0;108882.0;328.0;23312.0;190122.0;0
+2002-01-01;2002-12-31;Electricity;"FUEL MIX";748.0;3787.0;4429.0;9951.0;11694.0;17336.0;47945.0;0
+2002-01-01;2002-12-31;Other;"FUEL MIX";0.0;0.0;0.0;0.0;514.0;1850.0;2364.0;0
+2002-01-01;2002-12-31;Total;"FUEL MIX";37730.0;45094.0;127915.0;184133.0;61815.0;185017.0;641704.0;102000.0
+2003-01-01;2003-12-31;"Alumina Production (tonnes)";;5064000.0;5204000.0;12262000.0;16550000.0;9431000.0;5549000.0;54060000.0;0.0
+2003-01-01;2003-12-31;"Reporting Production (tonnes)";;1626397.0;4366599.0;12262000.0;16550000.0;5086587.0;5549000.0;45440583.0;8619417.0
+2003-01-01;2003-12-31;Coal;"FUEL MIX";10366.0;0.0;3824.0;45374.0;0.0;131145.0;190709.0;0
+2003-01-01;2003-12-31;Oil;"FUEL MIX";12521.0;4630.0;108150.0;22416.0;46642.0;8252.0;202611.0;0
+2003-01-01;2003-12-31;Gas;"FUEL MIX";0.0;39963.0;19208.0;107979.0;3278.0;22801.0;193229.0;0
+2003-01-01;2003-12-31;Electricity;"FUEL MIX";754.0;3120.0;7279.0;12959.0;12233.0;16956.0;53301.0;0
+2003-01-01;2003-12-31;Other;"FUEL MIX";0.0;0.0;0.0;5740.0;475.0;1810.0;8025.0;0
+2003-01-01;2003-12-31;Total;"FUEL MIX";23641.0;47713.0;138461.0;194468.0;62628.0;180964.0;647875.0;120000.0
+2004-01-01;2004-12-31;"Alumina Production (tonnes)";;5239000.0;5895000.0;12824000.0;16746000.0;9753000.0;6362000.0;56819000.0;0.0
+2004-01-01;2004-12-31;"Reporting Production (tonnes)";;3384409.0;4637553.0;11503914.0;16689464.0;7275221.0;6362000.0;49852561.0;6966439.0
+2004-01-01;2004-12-31;Coal;"FUEL MIX";28802.0;0.0;4587.0;47462.0;9701.0;138722.0;229274.0;0
+2004-01-01;2004-12-31;Oil;"FUEL MIX";13014.0;4989.0;80023.0;22603.0;48640.0;8729.0;177998.0;0
+2004-01-01;2004-12-31;Gas;"FUEL MIX";0.0;39838.0;22889.0;107955.0;17921.0;24119.0;212722.0;0
+2004-01-01;2004-12-31;Electricity;"FUEL MIX";762.0;3182.0;8035.0;14424.0;13516.0;17936.0;57855.0;0
+2004-01-01;2004-12-31;Other;"FUEL MIX";0.0;0.0;0.0;5559.0;458.0;1914.0;7931.0;0
+2004-01-01;2004-12-31;Total;"FUEL MIX";42578.0;48009.0;115534.0;198003.0;90236.0;191420.0;685780.0;96000.0
+2005-01-01;2005-12-31;"Alumina Production (tonnes)";;5269000.0;5945000.0;12965000.0;17684000.0;9764000.0;7519000.0;59146000.0;0.0
+2005-01-01;2005-12-31;"Reporting Production (tonnes)";;3483371.0;5466923.0;12965000.0;17684000.0;5253554.0;7519000.0;52371848.0;6774152.0
+2005-01-01;2005-12-31;Coal;"FUEL MIX";26767.0;0.0;4568.0;45481.0;0.0;159918.0;236734.0;0
+2005-01-01;2005-12-31;Oil;"FUEL MIX";14868.0;5827.0;106411.0;18164.0;48260.0;10062.0;203592.0;0
+2005-01-01;2005-12-31;Gas;"FUEL MIX";0.0;52919.0;25817.0;113220.0;3749.0;27804.0;223509.0;0
+2005-01-01;2005-12-31;Electricity;"FUEL MIX";2208.0;3494.0;8680.0;19818.0;13184.0;20677.0;68061.0;0
+2005-01-01;2005-12-31;Other;"FUEL MIX";703.0;0.0;0.0;5851.0;476.0;2207.0;9237.0;0
+2005-01-01;2005-12-31;Total;"FUEL MIX";44546.0;62240.0;145476.0;202534.0;65669.0;220668.0;741133.0;95000.0
+2006-01-01;2006-12-31;"Alumina Production (tonnes)";;5019000.0;5929000.0;14667000.0;18341000.0;9851000.0;12918000.0;66725000.0;0.0
+2006-01-01;2006-12-31;"Reporting Production (tonnes)";;3437938.0;5517803.0;14667000.0;18298942.0;8327174.0;12918000.0;63166857.0;3558143.0
+2006-01-01;2006-12-31;Coal;"FUEL MIX";27188.0;0.0;4611.0;48128.0;273.0;220917.0;301117.0;0
+2006-01-01;2006-12-31;Oil;"FUEL MIX";17817.0;3942.0;124974.0;20496.0;34769.0;13901.0;215899.0;0
+2006-01-01;2006-12-31;Gas;"FUEL MIX";21.0;58125.0;26370.0;118034.0;63497.0;38410.0;304457.0;0
+2006-01-01;2006-12-31;Electricity;"FUEL MIX";2298.0;3625.0;10935.0;18474.0;23685.0;28563.0;87580.0;0
+2006-01-01;2006-12-31;Other;"FUEL MIX";2516.0;0.0;0.0;4513.0;11384.0;3048.0;21461.0;0
+2006-01-01;2006-12-31;Total;"FUEL MIX";49840.0;65692.0;166890.0;209645.0;133608.0;304839.0;930514.0;60000.0
+2007-01-01;2007-12-31;"Alumina Production (tonnes)";;5263000.0;5290000.0;14913000.0;18987000.0;10031000.0;20047000.0;74531000.0;0.0
+2007-01-01;2007-12-31;"Reporting Production (tonnes)";;1688160.0;5169404.0;14913000.0;18831417.0;8559454.0;20047000.0;69208435.0;5322565.0
+2007-01-01;2007-12-31;Coal;"FUEL MIX";7810.0;0.0;5416.0;51811.0;182.0;370791.0;436010.0;0
+2007-01-01;2007-12-31;Oil;"FUEL MIX";11771.0;4299.0;118037.0;21050.0;42854.0;23331.0;221342.0;0
+2007-01-01;2007-12-31;Gas;"FUEL MIX";840.0;37298.0;26496.0;123431.0;51294.0;64468.0;303827.0;0
+2007-01-01;2007-12-31;Electricity;"FUEL MIX";599.0;3432.0;10619.0;9826.0;31051.0;47941.0;103468.0;0
+2007-01-01;2007-12-31;Other;"FUEL MIX";2905.0;11632.0;2.0;5359.0;0.0;5116.0;25014.0;0
+2007-01-01;2007-12-31;Total;"FUEL MIX";23925.0;56661.0;160570.0;211477.0;125381.0;511647.0;1089661.0;90000.0
+2008-01-01;2008-12-31;"Alumina Production (tonnes)";;5816000.0;5277000.0;15589000.0;19416000.0;9860000.0;22741000.0;78699000.0;0.0
+2008-01-01;2008-12-31;"Reporting Production (tonnes)";;3309551.0;5427439.0;15541235.0;19324142.0;7902378.0;22741000.0;74245745.0;4453255.0
+2008-01-01;2008-12-31;Coal;"FUEL MIX";32820.0;65.0;14708.0;51414.0;46.0;384911.0;483964.0;0
+2008-01-01;2008-12-31;Oil;"FUEL MIX";17598.0;3935.0;116719.0;26379.0;32106.0;24220.0;220957.0;0
+2008-01-01;2008-12-31;Gas;"FUEL MIX";52.0;38978.0;24526.0;118054.0;49634.0;66922.0;298166.0;0
+2008-01-01;2008-12-31;Electricity;"FUEL MIX";924.0;4185.0;7287.0;19012.0;27776.0;49767.0;108951.0;0
+2008-01-01;2008-12-31;Other;"FUEL MIX";3080.0;11842.0;0.0;3416.0;12837.0;5311.0;36486.0;0
+2008-01-01;2008-12-31;Total;"FUEL MIX";54474.0;59005.0;163240.0;218275.0;122399.0;531131.0;1148524.0;70000.0
+2009-01-01;2009-12-31;"Alumina Production (tonnes)";;5685000.0;3540000.0;13161000.0;19958000.0;7690000.0;23855000.0;73889000.0;0.0
+2009-01-01;2009-12-31;"Reporting Production (tonnes)";;3234698.0;2804849.0;12226990.0;16502741.0;7117522.0;23855000.0;65741800.0;8147200.0
+2009-01-01;2009-12-31;Coal;"FUEL MIX";26274.0;95.0;19596.0;18.0;32822.0;335131.0;413936.0;0
+2009-01-01;2009-12-31;Oil;"FUEL MIX";17844.0;1324.0;73842.0;26336.0;23517.0;21087.0;163950.0;0
+2009-01-01;2009-12-31;Gas;"FUEL MIX";44.0;17369.0;15032.0;49091.0;97708.0;58268.0;237512.0;0
+2009-01-01;2009-12-31;Electricity;"FUEL MIX";1251.0;2322.0;5474.0;13758.0;17096.0;43331.0;83232.0;0
+2009-01-01;2009-12-31;Other;"FUEL MIX";1965.0;11002.0;0.0;30673.0;10768.0;4624.0;59032.0;0
+2009-01-01;2009-12-31;Total;"FUEL MIX";47378.0;32112.0;113944.0;119876.0;181911.0;462441.0;957662.0;120000.0
+2010-01-01;2010-12-31;"Alumina Production (tonnes)";;5711000.0;4446000.0;13609000.0;19647000.0;8204000.0;31071000.0;84513000.0;1825000.0
+2010-01-01;2010-12-31;"Reporting Production (tonnes)";;1825478.0;3393259.0;13609000.0;15965021.0;7692941.0;31071000.0;73556699.0;10956301.0
+2010-01-01;2010-12-31;Coal;"FUEL MIX";12251.0;0.0;26991.0;19901.0;23.0;418387.0;477553.0;0
+2010-01-01;2010-12-31;Oil;"FUEL MIX";11570.0;0.0;76232.0;21835.0;21919.0;26326.0;157882.0;0
+2010-01-01;2010-12-31;Gas;"FUEL MIX";589.0;30271.0;25484.0;97061.0;49963.0;72743.0;276111.0;0
+2010-01-01;2010-12-31;Electricity;"FUEL MIX";404.0;2079.0;5378.0;3520.0;8288.0;54095.0;73764.0;0
+2010-01-01;2010-12-31;Other;"FUEL MIX";4224.0;10998.0;0.0;17984.0;28132.0;5773.0;67111.0;0
+2010-01-01;2010-12-31;Total;"FUEL MIX";29038.0;43348.0;134085.0;160301.0;108325.0;577324.0;1052421.0;160000.0
+2011-01-01;2011-12-31;"Alumina Production (tonnes)";;5921000.0;4823000.0;14823000.0;19115000.0;8442000.0;38916000.0;94048000.0;2008000.0
+2011-01-01;2011-12-31;"Reporting Production (tonnes)";;3381117.0;3678620.0;14719926.0;19059437.0;7642054.0;38916000.0;87397154.0;6650846.0
+2011-01-01;2011-12-31;Coal;"FUEL MIX";29083.0;0.0;29111.0;36032.0;17.0;469300.0;563543.0;0
+2011-01-01;2011-12-31;Oil;"FUEL MIX";9909.0;0.0;74634.0;44108.0;19024.0;29530.0;177205.0;0
+2011-01-01;2011-12-31;Gas;"FUEL MIX";590.0;32296.0;22078.0;115447.0;50819.0;81595.0;302825.0;0
+2011-01-01;2011-12-31;Electricity;"FUEL MIX";1175.0;1918.0;7284.0;5868.0;7532.0;60678.0;84455.0;0
+2011-01-01;2011-12-31;Other;"FUEL MIX";3563.0;12322.0;0.0;16039.0;27143.0;6476.0;65543.0;0
+2011-01-01;2011-12-31;Total;"FUEL MIX";44320.0;46536.0;133107.0;217494.0;104535.0;647579.0;1193571.0;100000.0
+2012-01-01;2012-12-31;"Alumina Production (tonnes)";;5391000.0;5226000.0;13786000.0;20997000.0;8163000.0;41409000.0;96802000.0;1830000.0
+2012-01-01;2012-12-31;"Reporting Production (tonnes)";;3026890.0;3856230.0;13786000.0;20962702.0;7219582.0;41409000.0;90260404.0;6541596.0
+2012-01-01;2012-12-31;Coal;"FUEL MIX";29351.0;82.0;26975.0;43101.0;0.0;514362.0;613871.0;0
+2012-01-01;2012-12-31;Oil;"FUEL MIX";4958.0;3.0;74123.0;22034.0;13825.0;32365.0;147308.0;0
+2012-01-01;2012-12-31;Gas;"FUEL MIX";497.0;39746.0;18689.0;121836.0;52125.0;89430.0;322323.0;0
+2012-01-01;2012-12-31;Electricity;"FUEL MIX";1247.0;2173.0;3831.0;7777.0;7010.0;66504.0;88542.0;0
+2012-01-01;2012-12-31;Other;"FUEL MIX";3280.0;887.0;0.0;17551.0;17362.0;7098.0;46178.0;0
+2012-01-01;2012-12-31;Total;"FUEL MIX";39333.0;42891.0;123618.0;212299.0;90322.0;709759.0;1218222.0;105000.0
+2013-01-01;2013-12-31;"Alumina Production (tonnes)";;4980000.0;5873000.0;13069000.0;21240000.0;8264000.0;46326000.0;101577000.0;1825000.0
+2013-01-01;2013-12-31;"Reporting Production (tonnes)";;2914748.0;5632383.0;12674355.0;21236706.0;7431593.0;46326000.0;96215785.0;5361215.0
+2013-01-01;2013-12-31;Coal;"FUEL MIX";31700.0;78.0;26425.0;46050.0;0.0;521152.0;625405.0;0
+2013-01-01;2013-12-31;Oil;"FUEL MIX";7374.0;27.0;72404.0;23540.0;12863.0;32792.0;149000.0;0
+2013-01-01;2013-12-31;Gas;"FUEL MIX";387.0;45164.0;8576.0;124471.0;57264.0;90610.0;326472.0;0
+2013-01-01;2013-12-31;Electricity;"FUEL MIX";155.0;3064.0;2617.0;8383.0;12001.0;67382.0;93602.0;0
+2013-01-01;2013-12-31;Other;"FUEL MIX";3315.0;15476.0;0.0;20722.0;16787.0;7191.0;63491.0;0
+2013-01-01;2013-12-31;Total;"FUEL MIX";42931.0;63809.0;110022.0;223166.0;98915.0;719127.0;1257970.0;90000.0
+2014-01-01;2014-12-31;"Alumina Production (tonnes)";;5307000.0;5551000.0;13175000.0;20269000.0;8179000.0;53796000.0;108102000.0;1825000.0
+2014-01-01;2014-12-31;"Reporting Production (tonnes)";;2933921.0;5551000.0;13009859.0;20269000.0;7281765.0;53796000.0;102841545.0;5260455.0
+2014-01-01;2014-12-31;Coal;"FUEL MIX";32045.0;71.0;28657.0;53153.0;0.0;543293.0;657219.0;0
+2014-01-01;2014-12-31;Oil;"FUEL MIX";7514.0;25.0;71672.0;15678.0;9728.0;34185.0;138802.0;0
+2014-01-01;2014-12-31;Gas;"FUEL MIX";361.0;50384.0;7838.0;126981.0;56912.0;94460.0;336936.0;0
+2014-01-01;2014-12-31;Electricity;"FUEL MIX";75.0;3113.0;4026.0;10897.0;10330.0;70245.0;98686.0;0
+2014-01-01;2014-12-31;Other;"FUEL MIX";2988.0;14727.0;0.0;11984.0;15636.0;7497.0;52832.0;0
+2014-01-01;2014-12-31;Total;"FUEL MIX";42983.0;68320.0;112193.0;218693.0;92606.0;749680.0;1284475.0;75000.0
+2015-01-01;2015-12-31;"Alumina Production (tonnes)";;5478000.0;5479000.0;12701000.0;19916000.0;8391000.0;56768000.0;111288000.0;2555000.0
+2015-01-01;2015-12-31;"Reporting Production (tonnes)";;5302311.0;5189239.0;12345299.0;19904221.0;7630907.0;56768000.0;107139977.0;4148023.0
+2015-01-01;2015-12-31;Coal;"FUEL MIX";54114.0;0.0;27387.0;56731.0;16265.0;535313.0;689810.0;0
+2015-01-01;2015-12-31;Oil;"FUEL MIX";13314.0;0.0;70764.0;4131.0;156.0;33683.0;122048.0;0
+2015-01-01;2015-12-31;Gas;"FUEL MIX";510.0;35672.0;7433.0;125744.0;69698.0;93072.0;332129.0;0
+2015-01-01;2015-12-31;Electricity;"FUEL MIX";106.0;1980.0;3774.0;8446.0;11110.0;69213.0;94629.0;0
+2015-01-01;2015-12-31;Other;"FUEL MIX";3609.0;13404.0;0.0;12954.0;187.0;7387.0;37541.0;0
+2015-01-01;2015-12-31;Total;"FUEL MIX";71653.0;51056.0;109358.0;208006.0;97416.0;738668.0;1276157.0;52000.0
+2016-01-01;2016-12-31;"Alumina Production (tonnes)";;6566000.0;3300000.0;12119000.0;20419000.0;8425000.0;58382000.0;112871000.0;3660000.0
+2016-01-01;2016-12-31;"Reporting Production (tonnes)";;6566000.0;3291110.0;12119000.0;20419000.0;7683453.0;58382000.0;108460563.0;4410437.0
+2016-01-01;2016-12-31;Coal;"FUEL MIX";55898.0;78.0;29352.0;66064.0;0.0;505767.0;657159.0;0
+2016-01-01;2016-12-31;Oil;"FUEL MIX";13880.0;27.0;65737.0;4881.0;27.0;31824.0;116376.0;0
+2016-01-01;2016-12-31;Gas;"FUEL MIX";663.0;25684.0;5607.0;129860.0;92138.0;87935.0;341887.0;0
+2016-01-01;2016-12-31;Electricity;"FUEL MIX";186.0;12141.0;3357.0;5703.0;4627.0;65393.0;91407.0;0
+2016-01-01;2016-12-31;Other;"FUEL MIX";3690.0;216.0;0.0;13192.0;316.0;6979.0;24393.0;0
+2016-01-01;2016-12-31;Total;"FUEL MIX";74317.0;38146.0;104053.0;219700.0;97108.0;697898.0;1231222.0;55000.0
+2017-01-01;2017-12-31;"Alumina Production (tonnes)";;8174000.0;2379000.0;11993000.0;20335000.0;8586000.0;67312000.0;124254000.0;5475000.0
+2017-01-01;2017-12-31;"Reporting Production (tonnes)";;7451310.0;2272576.0;11991661.0;20335000.0;7886252.0;67312000.0;117248799.0;7005201.0
+2017-01-01;2017-12-31;Coal;"FUEL MIX";46548.0;83.0;29229.0;67012.0;0.0;588006.0;730878.0;0
+2017-01-01;2017-12-31;Oil;"FUEL MIX";16788.0;29.0;63836.0;2409.0;17.0;36999.0;120078.0;0
+2017-01-01;2017-12-31;Gas;"FUEL MIX";12927.0;20944.0;5537.0;128722.0;94332.0;102233.0;364695.0;0
+2017-01-01;2017-12-31;Electricity;"FUEL MIX";1669.0;1395.0;4243.0;5420.0;4515.0;76026.0;93268.0;0
+2017-01-01;2017-12-31;Other;"FUEL MIX";3790.0;1.0;0.0;12701.0;322.0;8114.0;24928.0;0
+2017-01-01;2017-12-31;Total;"FUEL MIX";81722.0;22452.0;102845.0;216264.0;99186.0;811379.0;1333847.0;100000.0
+2018-01-01;2018-12-31;"Alumina Production (tonnes)";;8710000.0;2171000.0;9213000.0;19855000.0;8501000.0;67977000.0;121902000.0;5475000.0
+2018-01-01;2018-12-31;"Reporting Production (tonnes)";;8030089.0;2112120.0;9213000.0;19816541.0;7656030.0;67977000.0;114804780.0;7097220.0
+2018-01-01;2018-12-31;Coal;"FUEL MIX";48904.0;0.0;26064.0;67075.0;0.0;605777.0;747820.0;0
+2018-01-01;2018-12-31;Oil;"FUEL MIX";14147.0;0.0;47317.0;425.0;28.0;38117.0;100034.0;0
+2018-01-01;2018-12-31;Gas;"FUEL MIX";17276.0;15557.0;5491.0;125635.0;86228.0;105323.0;355510.0;0
+2018-01-01;2018-12-31;Electricity;"FUEL MIX";1774.0;2501.0;3188.0;5619.0;4319.0;78324.0;95725.0;0
+2018-01-01;2018-12-31;Other;"FUEL MIX";3768.0;1418.0;0.0;13546.0;293.0;8359.0;27384.0;0
+2018-01-01;2018-12-31;Total;"FUEL MIX";85869.0;19476.0;82060.0;212300.0;90868.0;835900.0;1326473.0;60000.0
+2019-01-01;2019-12-31;"Alumina Production (tonnes)";;9988000.0;2275000.0;10050000.0;20010000.0;8427000.0;67717000.0;123942000.0;5475000.0
+2019-01-01;2019-12-31;"Reporting Production (tonnes)";;4778857.0;1391993.0;8903549.0;16555099.0;7666103.0;67717000.0;107012601.0;16929399.0
+2019-01-01;2019-12-31;Coal;"FUEL MIX";19865.0;0.0;25886.0;38840.0;0.0;523281.0;607872.0;0
+2019-01-01;2019-12-31;Oil;"FUEL MIX";11500.0;1.0;39961.0;106.0;137.0;32926.0;84631.0;0
+2019-01-01;2019-12-31;Gas;"FUEL MIX";15842.0;5710.0;5491.0;115585.0;97758.0;90980.0;331366.0;0
+2019-01-01;2019-12-31;Electricity;"FUEL MIX";3359.0;3115.0;3556.0;3643.0;4184.0;67658.0;85515.0;0
+2019-01-01;2019-12-31;Other;"FUEL MIX";3728.0;1398.0;0.0;12866.0;148.0;7221.0;25361.0;0
+2019-01-01;2019-12-31;Total;"FUEL MIX";54294.0;10224.0;74894.0;171040.0;102227.0;722066.0;1134745.0;210000.0
+2020-01-01;2020-12-31;"Alumina Production (tonnes)";;12097000.0;2090000.0;11218000.0;20737000.0;8665000.0;67463000.0;125529000.0;3259000.0
+2020-01-01;2020-12-31;"Reporting Production (tonnes)";;5020597.0;1406121.0;10123804.0;20696805.0;7957268.0;67463000.0;112667596.0;16120404.0
+2020-01-01;2020-12-31;Coal;"FUEL MIX";18516.0;0.0;27593.0;66132.0;0.0;531830.0;644071.0;0
+2020-01-01;2020-12-31;Oil;"FUEL MIX";13228.0;15.0;45695.0;552.0;129.0;33464.0;93082.0;0
+2020-01-01;2020-12-31;Gas;"FUEL MIX";18355.0;6927.0;2659.0;131804.0;100841.0;92467.0;353053.0;0
+2020-01-01;2020-12-31;Electricity;"FUEL MIX";217.0;2717.0;3330.0;5151.0;4067.0;68763.0;84245.0;0
+2020-01-01;2020-12-31;Other;"FUEL MIX";3137.0;0.0;2252.0;12736.0;4361.0;7339.0;29824.0;0
+2020-01-01;2020-12-31;Total;"FUEL MIX";53451.0;9659.0;81530.0;216376.0;109397.0;733863.0;1204276.0;198000.0
+2021-01-01;2021-12-31;"Alumina Production (tonnes)";;12827000.0;1974000.0;11415000.0;20470000.0;8707000.0;71496000.0;130414000.0;3525000.0
+2021-01-01;2021-12-31;"Reporting Production (tonnes)";;7051578.0;1362312.0;10707917.0;20470000.0;8191010.0;71496000.0;119278817.0;14660183.0
+2021-01-01;2021-12-31;Coal;"FUEL MIX";20326.0;0.0;25968.0;62232.0;0;621819.0;730344.0;0
+2021-01-01;2021-12-31;Oil;"FUEL MIX";14134.0;4.0;49390.0;593.0;44.0;47555.0;111721.0;0
+2021-01-01;2021-12-31;Gas;"FUEL MIX";33835.0;7232.0;2256.0;149421.0;103723.0;41231.0;337699.0;0
+2021-01-01;2021-12-31;Electricity;"FUEL MIX";2533.0;2187.0;3772.0;15458.0;3061.0;62240.0;89251.0;0
+2021-01-01;2021-12-31;Other;"FUEL MIX";1604.0;0.0;2954.0;668.0;147.0;2787.0;8159.0;0
+2021-01-01;2021-12-31;Total;"FUEL MIX";72431.0;9423.0;84340.0;228372.0;106976.0;775632.0;1277174.0;194000.0
+2022-01-01;2022-12-31;"Alumina Production (tonnes)";;13441000.0;1846000.0;10649000.0;19693000.0;6379000.0;75775000.0;133131000.0;5348000.0
+2022-01-01;2022-12-31;"Reporting Production (tonnes)";;7852670.0;1364028.0;10556854.0;19447216.0;5220824.0;75775000.0;120216592.0;12914408.0
+2022-01-01;2022-12-31;Coal;"FUEL MIX";22762.0;0.0;26869.0;59767.0;0;518247.0;627645.0;0
+2022-01-01;2022-12-31;Oil;"FUEL MIX";14626.0;4.0;46321.0;1131.0;1064.0;32609.0;95755.0;0
+2022-01-01;2022-12-31;Gas;"FUEL MIX";37150.0;7154.0;2504.0;125756.0;69122.0;90105.0;331792.0;0
+2022-01-01;2022-12-31;Electricity;"FUEL MIX";7616.0;3309.0;4020.0;14562.0;1535.0;67007.0;98048.0;0
+2022-01-01;2022-12-31;Other;"FUEL MIX";1743.0;0.0;3024.0;13288.0;9.0;7151.0;25215.0;0
+2022-01-01;2022-12-31;Total;"FUEL MIX";83897.0;10467.0;82738.0;214503.0;71730.0;715119.0;1178455.0;180000.0
+2023-01-01;2023-12-31;"Alumina Production (tonnes)";;13014000.0;1945000.0;11112000.0;18680000.0;5280000.0;78159000.0;133538000.0;5348000.0
+2023-01-01;2023-12-31;"Reporting Production (tonnes)";;9566436.0;1388088.0;10104992.0;18680000.0;4625631.0;78159000.0;122524147.0;11013853.0
+2023-01-01;2023-12-31;Coal;"FUEL MIX";36070.0;0.0;23295.0;59243.0;0.0;394071.0;512679.0;0
+2023-01-01;2023-12-31;Oil;"FUEL MIX";18541.0;6.0;47239.0;952.0;256.0;0.0;66993.0;0
+2023-01-01;2023-12-31;Gas;"FUEL MIX";37763.0;7614.0;2307.0;114101.0;59589.0;254488.0;475862.0;0
+2023-01-01;2023-12-31;Electricity;"FUEL MIX";4284.0;2911.0;4481.0;15156.0;1501.0;62722.0;91055.0;0
+2023-01-01;2023-12-31;Other;"FUEL MIX";1836.0;0.0;3233.0;12070.0;9265.0;5655.0;32058.0;0
+2023-01-01;2023-12-31;Total;"FUEL MIX";98494.0;10531.0;80554.0;201521.0;70611.0;716937.0;1178648.0;160000.0
diff --git a/message_ix_models/data/material/aluminum/SSP1/aluminum_techno_economic.xlsx b/message_ix_models/data/material/aluminum/SSP1/aluminum_techno_economic.xlsx
new file mode 100644
index 0000000000..fed2d30dbf
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/SSP1/aluminum_techno_economic.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/message_ix_models/data/material/aluminum/SSP2/aluminum_techno_economic.xlsx b/message_ix_models/data/material/aluminum/SSP2/aluminum_techno_economic.xlsx
new file mode 100644
index 0000000000..66e808110d
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/SSP2/aluminum_techno_economic.xlsx
@@ -0,0 +1,3 @@
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diff --git a/message_ix_models/data/material/aluminum/SSP3/aluminum_techno_economic.xlsx b/message_ix_models/data/material/aluminum/SSP3/aluminum_techno_economic.xlsx
new file mode 100644
index 0000000000..bc9fb2e2dc
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/SSP3/aluminum_techno_economic.xlsx
@@ -0,0 +1,3 @@
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diff --git a/message_ix_models/data/material/aluminum/SSP4/aluminum_techno_economic.xlsx b/message_ix_models/data/material/aluminum/SSP4/aluminum_techno_economic.xlsx
new file mode 100644
index 0000000000..58ae61b902
--- /dev/null
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@@ -0,0 +1,3 @@
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diff --git a/message_ix_models/data/material/aluminum/SSP5/aluminum_techno_economic.xlsx b/message_ix_models/data/material/aluminum/SSP5/aluminum_techno_economic.xlsx
new file mode 100644
index 0000000000..df0a232c73
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/SSP5/aluminum_techno_economic.xlsx
@@ -0,0 +1,3 @@
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diff --git a/message_ix_models/data/material/aluminum/alu_ref_int_1985_2023.csv b/message_ix_models/data/material/aluminum/alu_ref_int_1985_2023.csv
new file mode 100644
index 0000000000..3c8277a02d
--- /dev/null
+++ b/message_ix_models/data/material/aluminum/alu_ref_int_1985_2023.csv
@@ -0,0 +1,40 @@
+Period;Africa & Asia (ex China);North America;South America;Europe;Oceania;China;World
+2023;12154;9777;8333;15044;10796;9173;10009
+2022;12750;9031;7992;15228;11041;10496;10878
+2021;12718;9366;8108;13132;1104;10849;10986
+2020;12156;10363;8277;13707;10455;10878;10915
+2019;12852;8938;8951;13462;10528;11437;11351
+2018;12324;9888;933;13076;10713;11525;11359
+2017;13099;9879;8591;12807;106;12054;11564
+2016;15037;11591;864;12908;10746;11954;11388
+2015;14786;12158;8974;12979;1045;12524;11933
+2014;15011;11953;8624;13086;10673;13936;12579
+2013;16642;11451;8847;13791;10508;15523;1326
+2012;15683;11617;8882;13255;10128;1714;13675
+2011;15491;11262;9043;14274;11411;1664;13759
+2010;16212;12018;9814;14627;10721;18581;14346
+2009;16955;11819;9554;17137;11203;19385;14647
+2008;16787;10871;10504;1584;11295;23356;15554
+2007;18057;10961;10741;14628;1123;25522;15934
+2006;19093;12076;11065;17005;11457;23598;15201
+2005;12788;11385;11190;12510;11444;29348;14133
+2004;12581;10352;10043;12403;11864;30088;13756
+2003;14536;10927;11112;12312;11745;32612;14193
+2002;12938;11957;11436;1349;11375;33948;14554
+2001;15421;11082;11807;12934;11087;34691;14366
+2000;16687;11654;11903;12627;1137;35644;14479
+1999;17106;11273;11709;12883;11964;38278;14774
+1998;17468;11025;12144;13031;12126;40632;14919
+1997;16356;11356;12052;12191;12269;-;12339
+1996;16455;12668;1258;11987;12213;-;12637
+1995;15065;12528;12794;12094;12301;-;12621
+1994;15169;12327;12644;11723;115;-;12194
+1993;15698;12872;12613;12264;11398;-;12353
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\ No newline at end of file
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diff --git a/message_ix_models/data/material/aluminum/demand_2025.csv b/message_ix_models/data/material/aluminum/demand_2025.csv
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,13 @@
+node,commodity,level,year,time,value,unit
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diff --git a/message_ix_models/data/material/aluminum/demand_aluminum.xlsx b/message_ix_models/data/material/aluminum/demand_aluminum.xlsx
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--- a/message_ix_models/data/material/aluminum/demand_aluminum.xlsx
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diff --git a/message_ix_models/data/material/aluminum/demand_aluminum.yaml b/message_ix_models/data/material/aluminum/demand_aluminum.yaml
index c6c1446ffa..60df73d1be 100644
--- a/message_ix_models/data/material/aluminum/demand_aluminum.yaml
+++ b/message_ix_models/data/material/aluminum/demand_aluminum.yaml
@@ -1,36 +1,36 @@
 - R12_AFR:
     year: 2020
-    value: 3.00000
+    value: 2.75
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     year: 2020
-    value: 2.00000
+    value: 2.0
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     year: 2020
-    value: 6.00000
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     year: 2020
-    value: 5.00000
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     year: 2020
-    value: 2.50000
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     year: 2020
-    value: 2.00000
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     year: 2020
-    value: 13.60000
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     year: 2020
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     year: 2020
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     year: 2020
-    value: 4.80000
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     year: 2020
-    value: 6.00000
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 - R12_CHN:
     year: 2020
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\ No newline at end of file
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\ No newline at end of file
diff --git a/message_ix_models/data/material/aluminum/smelters-with 2022 projection.xls b/message_ix_models/data/material/aluminum/smelters-with 2022 projection.xls
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diff --git a/message_ix_models/data/material/ammonia/demand_2025.csv b/message_ix_models/data/material/ammonia/demand_2025.csv
new file mode 100644
index 0000000000..6f5550bf22
--- /dev/null
+++ b/message_ix_models/data/material/ammonia/demand_2025.csv
@@ -0,0 +1,13 @@
+node,commodity,level,year,time,value,unit
+R12_AFR,NH3,final_material,2025,year,2.655826840613548,t
+R12_CHN,NH3,final_material,2025,year,19.509765755986678,t
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+R12_NAM,NH3,final_material,2025,year,7.291628222808803,t
+R12_PAO,NH3,final_material,2025,year,2.5658865183830537,t
+R12_PAS,NH3,final_material,2025,year,2.661091686760797,t
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+R12_SAS,NH3,final_material,2025,year,7.755776900489005,t
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diff --git a/message_ix_models/data/material/ammonia/fert_techno_economic.xlsx b/message_ix_models/data/material/ammonia/fert_techno_economic.xlsx
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--- a/message_ix_models/data/material/cement/Global_cement_MESSAGE.xlsx
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diff --git a/message_ix_models/data/material/cement/SSP5/Global_cement_MESSAGE.xlsx b/message_ix_models/data/material/cement/SSP5/Global_cement_MESSAGE.xlsx
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--- /dev/null
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diff --git a/message_ix_models/data/material/cement/demand_2025.csv b/message_ix_models/data/material/cement/demand_2025.csv
new file mode 100644
index 0000000000..f8144ed1de
--- /dev/null
+++ b/message_ix_models/data/material/cement/demand_2025.csv
@@ -0,0 +1,13 @@
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+R12_WEU,cement,demand,2025,year,210.9156287414474,t
+R12_CHN,cement,demand,2025,year,2165.810003963428,t
+R12_RCPA,cement,demand,2025,year,106.38144508300388,t
diff --git a/message_ix_models/data/material/cement/demand_cement.yaml b/message_ix_models/data/material/cement/demand_cement.yaml
index f3a389bb6b..9f7ce8ba79 100644
--- a/message_ix_models/data/material/cement/demand_cement.yaml
+++ b/message_ix_models/data/material/cement/demand_cement.yaml
@@ -1,36 +1,37 @@
+# derived by aggregating the country data set from GlobBulk Consulting
 - R12_AFR:
     year: 2020
-    value: 209.10000
+    value: 110.5
 - R12_RCPA:
     year: 2020
-    value: 237.88000
+    value: 97.5
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     year: 2020
-    value: 131.20000
+    value: 42.9
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     year: 2020
-    value: 106.60000
+    value: 106.6
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     year: 2020
-    value: 94.30000
+    value: 184.3
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     year: 2020
-    value: 143.80000
+    value: 294.6
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     year: 2020
-    value: 183.30000
+    value: 116
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     year: 2020
-    value: 66.00000
+    value: 53.5
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     year: 2020
-    value: 141.30000
+    value: 232.7
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     year: 2020
-    value: 571.40000
+    value: 389
 - R12_WEU:
     year: 2020
-    value: 131.20000
+    value: 205.4
 - R12_CHN:
     year: 2020
-    value: 2140.92000
\ No newline at end of file
+    value: 2140
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diff --git a/message_ix_models/data/material/methanol/demand_2025.csv b/message_ix_models/data/material/methanol/demand_2025.csv
new file mode 100644
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--- /dev/null
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diff --git a/message_ix_models/data/material/methanol/methanol_techno_economic.xlsx b/message_ix_models/data/material/methanol/methanol_techno_economic.xlsx
index 52145e81cd..5bf9c7f042 100644
--- a/message_ix_models/data/material/methanol/methanol_techno_economic.xlsx
+++ b/message_ix_models/data/material/methanol/methanol_techno_economic.xlsx
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diff --git a/message_ix_models/data/material/other/activity/i_spec_tecs_hist_act.csv b/message_ix_models/data/material/other/activity/i_spec_tecs_hist_act.csv
new file mode 100644
index 0000000000..0a6fb566b2
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diff --git a/message_ix_models/data/material/other/activity/i_therm_tecs_hist_act.csv b/message_ix_models/data/material/other/activity/i_therm_tecs_hist_act.csv
new file mode 100644
index 0000000000..b961c60403
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diff --git a/message_ix_models/data/material/other/coal_i_shares_2020.csv b/message_ix_models/data/material/other/coal_i_shares_2020.csv
new file mode 100644
index 0000000000..9c9f99696a
--- /dev/null
+++ b/message_ix_models/data/material/other/coal_i_shares_2020.csv
@@ -0,0 +1,13 @@
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diff --git a/message_ix_models/data/material/other/demand/i_spec_LED.csv b/message_ix_models/data/material/other/demand/i_spec_LED.csv
new file mode 100644
index 0000000000..c86e45882c
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_spec_LED.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_spec_SSP1.csv b/message_ix_models/data/material/other/demand/i_spec_SSP1.csv
new file mode 100644
index 0000000000..f74bbc0385
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_spec_SSP1.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_spec_SSP2.csv b/message_ix_models/data/material/other/demand/i_spec_SSP2.csv
new file mode 100644
index 0000000000..5ee9fa3bf1
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_spec_SSP2.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_spec_SSP3.csv b/message_ix_models/data/material/other/demand/i_spec_SSP3.csv
new file mode 100644
index 0000000000..8058a50409
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_spec_SSP3.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_spec_SSP4.csv b/message_ix_models/data/material/other/demand/i_spec_SSP4.csv
new file mode 100644
index 0000000000..6d14bf3935
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_spec_SSP4.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_spec_SSP5.csv b/message_ix_models/data/material/other/demand/i_spec_SSP5.csv
new file mode 100644
index 0000000000..e432f82af7
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_spec_SSP5.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_therm_LED.csv b/message_ix_models/data/material/other/demand/i_therm_LED.csv
new file mode 100644
index 0000000000..92fb0bb0e8
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_therm_LED.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_therm_SSP1.csv b/message_ix_models/data/material/other/demand/i_therm_SSP1.csv
new file mode 100644
index 0000000000..abca26f328
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_therm_SSP1.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_therm_SSP2.csv b/message_ix_models/data/material/other/demand/i_therm_SSP2.csv
new file mode 100644
index 0000000000..e8535e74f7
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_therm_SSP2.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_therm_SSP3.csv b/message_ix_models/data/material/other/demand/i_therm_SSP3.csv
new file mode 100644
index 0000000000..157e9b627c
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_therm_SSP3.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_therm_SSP4.csv b/message_ix_models/data/material/other/demand/i_therm_SSP4.csv
new file mode 100644
index 0000000000..bc818fe2f7
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_therm_SSP4.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/demand/i_therm_SSP5.csv b/message_ix_models/data/material/other/demand/i_therm_SSP5.csv
new file mode 100644
index 0000000000..d10e633cf0
--- /dev/null
+++ b/message_ix_models/data/material/other/demand/i_therm_SSP5.csv
@@ -0,0 +1,241 @@
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diff --git a/message_ix_models/data/material/other/generic_furnace_boiler_techno_economic.xlsx b/message_ix_models/data/material/other/generic_furnace_boiler_techno_economic.xlsx
index 0f53894db9..6402e668ac 100644
--- a/message_ix_models/data/material/other/generic_furnace_boiler_techno_economic.xlsx
+++ b/message_ix_models/data/material/other/generic_furnace_boiler_techno_economic.xlsx
@@ -1,3 +1,3 @@
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diff --git a/message_ix_models/data/material/other/industry_thermal_emi_coefficients.csv b/message_ix_models/data/material/other/industry_thermal_emi_coefficients.csv
new file mode 100644
index 0000000000..121be5c710
--- /dev/null
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+R12_AFR,2030,coal_i,OCA_Emission,R12_AFR,2030,M1,0.002398305084745763,???,1.6949152542372883,coal,0.001415
+R12_AFR,2030,coal_i,SO2_Emission,R12_AFR,2030,M1,35.16949152542373,???,1.6949152542372883,coal,20.75
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+R12_AFR,2030,eth_i,BCA_Emission,R12_AFR,2030,M1,1.031311111111111,???,1.2345679012345678,ethanol,0.835362
+R12_AFR,2030,eth_i,CO_Emission,R12_AFR,2030,M1,7.213123456790123,???,1.2345679012345678,ethanol,5.84263
+R12_AFR,2030,eth_i,NH3_Emission,R12_AFR,2030,M1,0.00840246913580247,???,1.2345679012345678,ethanol,0.006806
+R12_AFR,2030,eth_i,NOx_Emission,R12_AFR,2030,M1,22.119753086419752,???,1.2345679012345678,ethanol,17.917
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+R12_AFR,2030,eth_i,VOC_Emission,R12_AFR,2030,M1,3.3446666666666665,???,1.2345679012345678,ethanol,2.70918
+R12_AFR,2030,foil_i,BCA_Emission,R12_AFR,2030,M1,1.2468089552238806,???,1.4925373134328357,fueloil,0.835362
+R12_AFR,2030,foil_i,CH4_Emission,R12_AFR,2030,M1,0.8059701492537313,???,1.4925373134328357,fueloil,0.54
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+R12_AFR,2030,foil_i,SO2_Emission,R12_AFR,2030,M1,2.6875970149253727,???,1.4925373134328357,fueloil,1.80069
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+R12_AFR,2030,gas_i,OCA_Emission,R12_AFR,2030,M1,0.003081081081081081,???,1.3513513513513513,gas,0.00228
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+R12_CHN,2025,foil_i,NH3_Emission,R12_CHN,2025,M1,0.007722696043591566,???,1.5399194503672113,fueloil,0.005015000000000001
+R12_CHN,2025,foil_i,NOx_Emission,R12_CHN,2025,M1,13.232720445392086,???,1.5399194503672113,fueloil,8.593125076923078
+R12_CHN,2025,foil_i,OCA_Emission,R12_CHN,2025,M1,0.15392203269367447,???,1.5399194503672113,fueloil,0.0999546
+R12_CHN,2025,foil_i,SO2_Emission,R12_CHN,2025,M1,5.547082444918265,???,1.5399194503672113,fueloil,3.6021900000000002
+R12_CHN,2025,foil_i,VOC_Emission,R12_CHN,2025,M1,1.6403180525941718,???,1.5399194503672113,fueloil,1.0651973076923078
+R12_CHN,2025,gas_i,BCA_Emission,R12_CHN,2025,M1,0.009838694328130948,???,1.3799010277883519,gas,0.007129999999999999
+R12_CHN,2025,gas_i,CH4_Emission,R12_CHN,2025,M1,0.17938713361248576,???,1.3799010277883519,gas,0.13
+R12_CHN,2025,gas_i,CO_Emission,R12_CHN,2025,M1,1.448689094023601,???,1.3799010277883519,gas,1.04985
+R12_CHN,2025,gas_i,N2O_Emission,R12_CHN,2025,M1,0.0027598020555767034,???,1.3799010277883519,gas,0.0019999999999999996
+R12_CHN,2025,gas_i,NH3_Emission,R12_CHN,2025,M1,0.006190236010658547,???,1.3799010277883519,gas,0.004486
+R12_CHN,2025,gas_i,NOx_Emission,R12_CHN,2025,M1,2.770620479634564,???,1.3799010277883519,gas,2.00784
+R12_CHN,2025,gas_i,OCA_Emission,R12_CHN,2025,M1,0.11012852112676058,???,1.3799010277883519,gas,0.079809
+R12_CHN,2025,gas_i,SO2_Emission,R12_CHN,2025,M1,0.4208863722877808,???,1.3799010277883519,gas,0.305012
+R12_CHN,2025,gas_i,VOC_Emission,R12_CHN,2025,M1,0.08278164255805101,???,1.3799010277883519,gas,0.059990999999999996
+R12_CHN,2025,loil_i,BCA_Emission,R12_CHN,2025,M1,0.35247936507936506,???,1.5399194503672113,lightoil,0.22889467692307694
+R12_CHN,2025,loil_i,CO_Emission,R12_CHN,2025,M1,5.935066927268419,???,1.5399194503672113,lightoil,3.8541411538461543
+R12_CHN,2025,loil_i,NH3_Emission,R12_CHN,2025,M1,0.007722696043591566,???,1.5399194503672113,lightoil,0.005015000000000001
+R12_CHN,2025,loil_i,NOx_Emission,R12_CHN,2025,M1,13.232720445392086,???,1.5399194503672113,lightoil,8.593125076923078
+R12_CHN,2025,loil_i,OCA_Emission,R12_CHN,2025,M1,0.15392203269367447,???,1.5399194503672113,lightoil,0.0999546
+R12_CHN,2025,loil_i,SO2_Emission,R12_CHN,2025,M1,5.547082444918265,???,1.5399194503672113,lightoil,3.6021900000000002
+R12_CHN,2025,loil_i,VOC_Emission,R12_CHN,2025,M1,1.6403180525941718,???,1.5399194503672113,lightoil,1.0651973076923078
+R12_CHN,2030,biomass_i,BCA_Emission,R12_CHN,2030,M1,0.515506779661017,???,1.6949152542372883,biomass,0.304149
+R12_CHN,2030,biomass_i,CH4_Emission,R12_CHN,2030,M1,1.3559322033898307,???,1.6949152542372883,biomass,0.8
+R12_CHN,2030,biomass_i,CO_Emission,R12_CHN,2030,M1,16.109593220338983,???,1.6949152542372883,biomass,9.50466
+R12_CHN,2030,biomass_i,N2O_Emission,R12_CHN,2030,M1,0.16949152542372883,???,1.6949152542372883,biomass,0.1
+R12_CHN,2030,biomass_i,NH3_Emission,R12_CHN,2030,M1,0.26849322033898304,???,1.6949152542372883,biomass,0.15841099999999997
+R12_CHN,2030,biomass_i,NOx_Emission,R12_CHN,2030,M1,6.980813559322035,???,1.6949152542372883,biomass,4.11868
+R12_CHN,2030,biomass_i,OCA_Emission,R12_CHN,2030,M1,0.7732610169491526,???,1.6949152542372883,biomass,0.456224
+R12_CHN,2030,biomass_i,SO2_Emission,R12_CHN,2030,M1,3.813372881355933,???,1.6949152542372883,biomass,2.24989
+R12_CHN,2030,biomass_i,VOC_Emission,R12_CHN,2030,M1,2.5775423728813562,???,1.6949152542372883,biomass,1.52075
+R12_CHN,2030,coal_i,BCA_Emission,R12_CHN,2030,M1,0.6110135593220339,???,1.6949152542372883,coal,0.360498
+R12_CHN,2030,coal_i,CH4_Emission,R12_CHN,2030,M1,0.45762711864406785,???,1.6949152542372883,coal,0.27
+R12_CHN,2030,coal_i,CO_Emission,R12_CHN,2030,M1,25.651186440677968,???,1.6949152542372883,coal,15.1342
+R12_CHN,2030,coal_i,N2O_Emission,R12_CHN,2030,M1,0.06271186440677966,???,1.6949152542372883,coal,0.037
+R12_CHN,2030,coal_i,NH3_Emission,R12_CHN,2030,M1,0.0003203389830508475,???,1.6949152542372883,coal,0.000189
+R12_CHN,2030,coal_i,NOx_Emission,R12_CHN,2030,M1,7.743593220338983,???,1.6949152542372883,coal,4.56872
+R12_CHN,2030,coal_i,OCA_Emission,R12_CHN,2030,M1,0.7062101694915255,???,1.6949152542372883,coal,0.416664
+R12_CHN,2030,coal_i,SO2_Emission,R12_CHN,2030,M1,35.293898305084745,???,1.6949152542372883,coal,20.8234
+R12_CHN,2030,coal_i,VOC_Emission,R12_CHN,2030,M1,0.31997288135593227,???,1.6949152542372883,coal,0.18878400000000004
+R12_CHN,2030,eth_i,BCA_Emission,R12_CHN,2030,M1,0.1941423529411765,???,1.1764705882352942,ethanol,0.165021
+R12_CHN,2030,eth_i,CO_Emission,R12_CHN,2030,M1,3.9779411764705883,???,1.1764705882352942,ethanol,3.38125
+R12_CHN,2030,eth_i,NH3_Emission,R12_CHN,2030,M1,0.005900000000000001,???,1.1764705882352942,ethanol,0.005015
+R12_CHN,2030,eth_i,NOx_Emission,R12_CHN,2030,M1,9.459458823529411,???,1.1764705882352942,ethanol,8.04054
+R12_CHN,2030,eth_i,OCA_Emission,R12_CHN,2030,M1,0.08355764705882354,???,1.1764705882352942,ethanol,0.071024
+R12_CHN,2030,eth_i,VOC_Emission,R12_CHN,2030,M1,1.2018470588235295,???,1.1764705882352942,ethanol,1.02157
+R12_CHN,2030,foil_i,BCA_Emission,R12_CHN,2030,M1,0.2463,???,1.4925373134328357,fueloil,0.165021
+R12_CHN,2030,foil_i,CH4_Emission,R12_CHN,2030,M1,0.8059701492537313,???,1.4925373134328357,fueloil,0.54
+R12_CHN,2030,foil_i,CO_Emission,R12_CHN,2030,M1,5.046641791044776,???,1.4925373134328357,fueloil,3.38125
+R12_CHN,2030,foil_i,N2O_Emission,R12_CHN,2030,M1,0.017910447761194027,???,1.4925373134328357,fueloil,0.012
+R12_CHN,2030,foil_i,NH3_Emission,R12_CHN,2030,M1,0.007485074626865672,???,1.4925373134328357,fueloil,0.005015
+R12_CHN,2030,foil_i,NOx_Emission,R12_CHN,2030,M1,12.000805970149253,???,1.4925373134328357,fueloil,8.04054
+R12_CHN,2030,foil_i,OCA_Emission,R12_CHN,2030,M1,0.10600597014925373,???,1.4925373134328357,fueloil,0.071024
+R12_CHN,2030,foil_i,SO2_Emission,R12_CHN,2030,M1,5.376402985074626,???,1.4925373134328357,fueloil,3.60219
+R12_CHN,2030,foil_i,VOC_Emission,R12_CHN,2030,M1,1.524731343283582,???,1.4925373134328357,fueloil,1.02157
+R12_CHN,2030,gas_i,BCA_Emission,R12_CHN,2030,M1,0.009635135135135135,???,1.3513513513513513,gas,0.00713
+R12_CHN,2030,gas_i,CH4_Emission,R12_CHN,2030,M1,0.17567567567567569,???,1.3513513513513513,gas,0.13
+R12_CHN,2030,gas_i,CO_Emission,R12_CHN,2030,M1,1.4187162162162161,???,1.3513513513513513,gas,1.04985
+R12_CHN,2030,gas_i,N2O_Emission,R12_CHN,2030,M1,0.002702702702702703,???,1.3513513513513513,gas,0.002
+R12_CHN,2030,gas_i,NH3_Emission,R12_CHN,2030,M1,0.0060621621621621625,???,1.3513513513513513,gas,0.004486
+R12_CHN,2030,gas_i,NOx_Emission,R12_CHN,2030,M1,2.713297297297297,???,1.3513513513513513,gas,2.00784
+R12_CHN,2030,gas_i,OCA_Emission,R12_CHN,2030,M1,0.10785,???,1.3513513513513513,gas,0.079809
+R12_CHN,2030,gas_i,SO2_Emission,R12_CHN,2030,M1,0.4121783783783784,???,1.3513513513513513,gas,0.305012
+R12_CHN,2030,gas_i,VOC_Emission,R12_CHN,2030,M1,0.08106891891891892,???,1.3513513513513513,gas,0.059991
+R12_CHN,2030,loil_i,BCA_Emission,R12_CHN,2030,M1,0.2463,???,1.4925373134328357,lightoil,0.165021
+R12_CHN,2030,loil_i,CO_Emission,R12_CHN,2030,M1,5.046641791044776,???,1.4925373134328357,lightoil,3.38125
+R12_CHN,2030,loil_i,NH3_Emission,R12_CHN,2030,M1,0.007485074626865672,???,1.4925373134328357,lightoil,0.005015
+R12_CHN,2030,loil_i,NOx_Emission,R12_CHN,2030,M1,12.000805970149253,???,1.4925373134328357,lightoil,8.04054
+R12_CHN,2030,loil_i,OCA_Emission,R12_CHN,2030,M1,0.10600597014925373,???,1.4925373134328357,lightoil,0.071024
+R12_CHN,2030,loil_i,SO2_Emission,R12_CHN,2030,M1,5.376402985074626,???,1.4925373134328357,lightoil,3.60219
+R12_CHN,2030,loil_i,VOC_Emission,R12_CHN,2030,M1,1.524731343283582,???,1.4925373134328357,lightoil,1.02157
+R12_CHN,2035,biomass_i,BCA_Emission,R12_CHN,2035,M1,0.4601195188627666,???,1.65390924002187,biomass,0.27820119008264466
+R12_CHN,2035,biomass_i,CH4_Emission,R12_CHN,2035,M1,1.3231273920174962,???,1.65390924002187,biomass,0.8000000000000002
+R12_CHN,2035,biomass_i,CO_Emission,R12_CHN,2035,M1,15.719844997266266,???,1.65390924002187,biomass,9.50466
+R12_CHN,2035,biomass_i,N2O_Emission,R12_CHN,2035,M1,0.16539092400218702,???,1.65390924002187,biomass,0.10000000000000002
+R12_CHN,2035,biomass_i,NH3_Emission,R12_CHN,2035,M1,0.2530546746856206,???,1.65390924002187,biomass,0.15300396694214877
+R12_CHN,2035,biomass_i,NOx_Emission,R12_CHN,2035,M1,6.5212938764352115,???,1.65390924002187,biomass,3.942957520661157
+R12_CHN,2035,biomass_i,OCA_Emission,R12_CHN,2035,M1,0.6901788955713506,???,1.65390924002187,biomass,0.4173015537190083
+R12_CHN,2035,biomass_i,SO2_Emission,R12_CHN,2035,M1,3.7211138600328058,???,1.65390924002187,biomass,2.24989
+R12_CHN,2035,biomass_i,VOC_Emission,R12_CHN,2035,M1,2.515182476763259,???,1.65390924002187,biomass,1.52075
+R12_CHN,2035,coal_i,BCA_Emission,R12_CHN,2035,M1,0.537924748411017,???,1.628707627118644,coal,0.33027704878048786
+R12_CHN,2035,coal_i,CH4_Emission,R12_CHN,2035,M1,0.43975105932203395,???,1.628707627118644,coal,0.27
+R12_CHN,2035,coal_i,CO_Emission,R12_CHN,2035,M1,23.52746822033898,???,1.628707627118644,coal,14.445482926829268
+R12_CHN,2035,coal_i,N2O_Emission,R12_CHN,2035,M1,0.06026218220338983,???,1.628707627118644,coal,0.037
+R12_CHN,2035,coal_i,NH3_Emission,R12_CHN,2035,M1,0.00030782574152542376,???,1.628707627118644,coal,0.000189
+R12_CHN,2035,coal_i,NOx_Emission,R12_CHN,2035,M1,6.994015360169492,???,1.628707627118644,coal,4.294211707317073
+R12_CHN,2035,coal_i,OCA_Emission,R12_CHN,2035,M1,0.6221761784957628,???,1.628707627118644,coal,0.38200605691056916
+R12_CHN,2035,coal_i,SO2_Emission,R12_CHN,2035,M1,32.10757415254237,???,1.628707627118644,coal,19.71352845528455
+R12_CHN,2035,coal_i,VOC_Emission,R12_CHN,2035,M1,0.30747394067796613,???,1.628707627118644,coal,0.188784
+R12_CHN,2035,eth_i,BCA_Emission,R12_CHN,2035,M1,0.17947411764705884,???,1.1764705882352942,ethanol,0.15255300000000002
+R12_CHN,2035,eth_i,CO_Emission,R12_CHN,2035,M1,3.820494117647059,???,1.1764705882352942,ethanol,3.24742
+R12_CHN,2035,eth_i,NH3_Emission,R12_CHN,2035,M1,0.005804705882352941,???,1.1764705882352942,ethanol,0.004934
+R12_CHN,2035,eth_i,NOx_Emission,R12_CHN,2035,M1,8.81844705882353,???,1.1764705882352942,ethanol,7.49568
+R12_CHN,2035,eth_i,OCA_Emission,R12_CHN,2035,M1,0.07689000000000001,???,1.1764705882352942,ethanol,0.06535650000000001
+R12_CHN,2035,eth_i,VOC_Emission,R12_CHN,2035,M1,1.1201029411764707,???,1.1764705882352942,ethanol,0.9520875000000001
+R12_CHN,2035,foil_i,BCA_Emission,R12_CHN,2035,M1,0.22180140845070423,???,1.4504940088290939,fueloil,0.15291439130434784
+R12_CHN,2035,foil_i,CH4_Emission,R12_CHN,2035,M1,0.7832667647677107,???,1.4504940088290939,fueloil,0.54
+R12_CHN,2035,foil_i,CO_Emission,R12_CHN,2035,M1,4.715989909606895,???,1.4504940088290939,fueloil,3.251299130434783
+R12_CHN,2035,foil_i,N2O_Emission,R12_CHN,2035,M1,0.017405928105949126,???,1.4504940088290939,fueloil,0.012
+R12_CHN,2035,foil_i,NH3_Emission,R12_CHN,2035,M1,0.007160142947235652,???,1.4504940088290939,fueloil,0.0049363478260869564
+R12_CHN,2035,foil_i,NOx_Emission,R12_CHN,2035,M1,10.895346647046459,???,1.4504940088290939,fueloil,7.511473043478262
+R12_CHN,2035,foil_i,OCA_Emission,R12_CHN,2035,M1,0.0950374921168804,???,1.4504940088290939,fueloil,0.06552077536231884
+R12_CHN,2035,foil_i,SO2_Emission,R12_CHN,2035,M1,4.8290465629598485,???,1.4504940088290939,fueloil,3.3292426811594202
+R12_CHN,2035,foil_i,VOC_Emission,R12_CHN,2035,M1,1.3839184885431997,???,1.4504940088290939,fueloil,0.9541014855072466
+R12_CHN,2035,gas_i,BCA_Emission,R12_CHN,2035,M1,0.009447437697437697,???,1.325026325026325,gas,0.00713
+R12_CHN,2035,gas_i,CH4_Emission,R12_CHN,2035,M1,0.17225342225342227,???,1.325026325026325,gas,0.13
+R12_CHN,2035,gas_i,CO_Emission,R12_CHN,2035,M1,1.3824620042120042,???,1.325026325026325,gas,1.043346821192053
+R12_CHN,2035,gas_i,N2O_Emission,R12_CHN,2035,M1,0.00265005265005265,???,1.325026325026325,gas,0.002
+R12_CHN,2035,gas_i,NH3_Emission,R12_CHN,2035,M1,0.005778483678483679,???,1.325026325026325,gas,0.004361033112582782
+R12_CHN,2035,gas_i,NOx_Emission,R12_CHN,2035,M1,2.478694103194103,???,1.325026325026325,gas,1.8706753642384104
+R12_CHN,2035,gas_i,OCA_Emission,R12_CHN,2035,M1,0.10574902597402597,???,1.325026325026325,gas,0.07980899999999999
+R12_CHN,2035,gas_i,SO2_Emission,R12_CHN,2035,M1,0.40414892944892944,???,1.325026325026325,gas,0.305012
+R12_CHN,2035,gas_i,VOC_Emission,R12_CHN,2035,M1,0.07948965426465426,???,1.325026325026325,gas,0.059991
+R12_CHN,2035,loil_i,BCA_Emission,R12_CHN,2035,M1,0.22180140845070423,???,1.4504940088290939,lightoil,0.15291439130434784
+R12_CHN,2035,loil_i,CO_Emission,R12_CHN,2035,M1,4.715989909606895,???,1.4504940088290939,lightoil,3.251299130434783
+R12_CHN,2035,loil_i,NH3_Emission,R12_CHN,2035,M1,0.007160142947235652,???,1.4504940088290939,lightoil,0.0049363478260869564
+R12_CHN,2035,loil_i,NOx_Emission,R12_CHN,2035,M1,10.895346647046459,???,1.4504940088290939,lightoil,7.511473043478262
+R12_CHN,2035,loil_i,OCA_Emission,R12_CHN,2035,M1,0.0950374921168804,???,1.4504940088290939,lightoil,0.06552077536231884
+R12_CHN,2035,loil_i,SO2_Emission,R12_CHN,2035,M1,4.8290465629598485,???,1.4504940088290939,lightoil,3.3292426811594202
+R12_CHN,2035,loil_i,VOC_Emission,R12_CHN,2035,M1,1.3839184885431997,???,1.4504940088290939,lightoil,0.9541014855072466
+R12_CHN,2040,biomass_i,BCA_Emission,R12_CHN,2040,M1,0.4047322580645161,???,1.6129032258064517,biomass,0.250934
+R12_CHN,2040,biomass_i,CH4_Emission,R12_CHN,2040,M1,1.2903225806451615,???,1.6129032258064517,biomass,0.8
+R12_CHN,2040,biomass_i,CO_Emission,R12_CHN,2040,M1,15.33009677419355,???,1.6129032258064517,biomass,9.50466
+R12_CHN,2040,biomass_i,N2O_Emission,R12_CHN,2040,M1,0.16129032258064518,???,1.6129032258064517,biomass,0.1
+R12_CHN,2040,biomass_i,NH3_Emission,R12_CHN,2040,M1,0.2376161290322581,???,1.6129032258064517,biomass,0.147322
+R12_CHN,2040,biomass_i,NOx_Emission,R12_CHN,2040,M1,6.061774193548388,???,1.6129032258064517,biomass,3.7583
+R12_CHN,2040,biomass_i,OCA_Emission,R12_CHN,2040,M1,0.6070967741935485,???,1.6129032258064517,biomass,0.3764
+R12_CHN,2040,biomass_i,SO2_Emission,R12_CHN,2040,M1,3.628854838709678,???,1.6129032258064517,biomass,2.24989
+R12_CHN,2040,biomass_i,VOC_Emission,R12_CHN,2040,M1,2.4528225806451616,???,1.6129032258064517,biomass,1.52075
+R12_CHN,2040,coal_i,BCA_Emission,R12_CHN,2040,M1,0.4648359375,???,1.5625,coal,0.297495
+R12_CHN,2040,coal_i,CH4_Emission,R12_CHN,2040,M1,0.421875,???,1.5625,coal,0.27
+R12_CHN,2040,coal_i,CO_Emission,R12_CHN,2040,M1,21.40375,???,1.5625,coal,13.6984
+R12_CHN,2040,coal_i,N2O_Emission,R12_CHN,2040,M1,0.057812499999999996,???,1.5625,coal,0.037
+R12_CHN,2040,coal_i,NH3_Emission,R12_CHN,2040,M1,0.0002953125,???,1.5625,coal,0.000189
+R12_CHN,2040,coal_i,NOx_Emission,R12_CHN,2040,M1,6.2444375,???,1.5625,coal,3.99644
+R12_CHN,2040,coal_i,OCA_Emission,R12_CHN,2040,M1,0.5381421875000001,???,1.5625,coal,0.3444110000000001
+R12_CHN,2040,coal_i,SO2_Emission,R12_CHN,2040,M1,28.921249999999997,???,1.5625,coal,18.5096
+R12_CHN,2040,coal_i,VOC_Emission,R12_CHN,2040,M1,0.294975,???,1.5625,coal,0.18878399999999998
+R12_CHN,2040,eth_i,BCA_Emission,R12_CHN,2040,M1,0.16480588235294116,???,1.1764705882352942,ethanol,0.140085
+R12_CHN,2040,eth_i,CO_Emission,R12_CHN,2040,M1,3.6630470588235293,???,1.1764705882352942,ethanol,3.11359
+R12_CHN,2040,eth_i,NH3_Emission,R12_CHN,2040,M1,0.005709411764705882,???,1.1764705882352942,ethanol,0.004853
+R12_CHN,2040,eth_i,NOx_Emission,R12_CHN,2040,M1,8.177435294117648,???,1.1764705882352942,ethanol,6.950820000000001
+R12_CHN,2040,eth_i,OCA_Emission,R12_CHN,2040,M1,0.07022235294117647,???,1.1764705882352942,ethanol,0.059689
+R12_CHN,2040,eth_i,VOC_Emission,R12_CHN,2040,M1,1.0383588235294117,???,1.1764705882352942,ethanol,0.8826049999999999
+R12_CHN,2040,foil_i,BCA_Emission,R12_CHN,2040,M1,0.19730281690140844,???,1.4084507042253522,fueloil,0.140085
+R12_CHN,2040,foil_i,CH4_Emission,R12_CHN,2040,M1,0.7605633802816902,???,1.4084507042253522,fueloil,0.54
+R12_CHN,2040,foil_i,CO_Emission,R12_CHN,2040,M1,4.385338028169015,???,1.4084507042253522,fueloil,3.1135900000000003
+R12_CHN,2040,foil_i,N2O_Emission,R12_CHN,2040,M1,0.016901408450704227,???,1.4084507042253522,fueloil,0.012
+R12_CHN,2040,foil_i,NH3_Emission,R12_CHN,2040,M1,0.006835211267605634,???,1.4084507042253522,fueloil,0.004853
+R12_CHN,2040,foil_i,NOx_Emission,R12_CHN,2040,M1,9.789887323943663,???,1.4084507042253522,fueloil,6.95082
+R12_CHN,2040,foil_i,OCA_Emission,R12_CHN,2040,M1,0.08406901408450705,???,1.4084507042253522,fueloil,0.059689
+R12_CHN,2040,foil_i,SO2_Emission,R12_CHN,2040,M1,4.281690140845071,???,1.4084507042253522,fueloil,3.04
+R12_CHN,2040,foil_i,VOC_Emission,R12_CHN,2040,M1,1.243105633802817,???,1.4084507042253522,fueloil,0.882605
+R12_CHN,2040,gas_i,BCA_Emission,R12_CHN,2040,M1,0.00925974025974026,???,1.2987012987012987,gas,0.00713
+R12_CHN,2040,gas_i,CH4_Emission,R12_CHN,2040,M1,0.16883116883116883,???,1.2987012987012987,gas,0.13
+R12_CHN,2040,gas_i,CO_Emission,R12_CHN,2040,M1,1.3462077922077922,???,1.2987012987012987,gas,1.03658
+R12_CHN,2040,gas_i,N2O_Emission,R12_CHN,2040,M1,0.0025974025974025974,???,1.2987012987012987,gas,0.002
+R12_CHN,2040,gas_i,NH3_Emission,R12_CHN,2040,M1,0.005494805194805196,???,1.2987012987012987,gas,0.004231
+R12_CHN,2040,gas_i,NOx_Emission,R12_CHN,2040,M1,2.244090909090909,???,1.2987012987012987,gas,1.72795
+R12_CHN,2040,gas_i,OCA_Emission,R12_CHN,2040,M1,0.10364805194805195,???,1.2987012987012987,gas,0.079809
+R12_CHN,2040,gas_i,SO2_Emission,R12_CHN,2040,M1,0.39611948051948054,???,1.2987012987012987,gas,0.305012
+R12_CHN,2040,gas_i,VOC_Emission,R12_CHN,2040,M1,0.07791038961038961,???,1.2987012987012987,gas,0.059991
+R12_CHN,2040,loil_i,BCA_Emission,R12_CHN,2040,M1,0.19730281690140844,???,1.4084507042253522,lightoil,0.140085
+R12_CHN,2040,loil_i,CO_Emission,R12_CHN,2040,M1,4.385338028169015,???,1.4084507042253522,lightoil,3.1135900000000003
+R12_CHN,2040,loil_i,NH3_Emission,R12_CHN,2040,M1,0.006835211267605634,???,1.4084507042253522,lightoil,0.004853
+R12_CHN,2040,loil_i,NOx_Emission,R12_CHN,2040,M1,9.789887323943663,???,1.4084507042253522,lightoil,6.95082
+R12_CHN,2040,loil_i,OCA_Emission,R12_CHN,2040,M1,0.08406901408450705,???,1.4084507042253522,lightoil,0.059689
+R12_CHN,2040,loil_i,SO2_Emission,R12_CHN,2040,M1,4.281690140845071,???,1.4084507042253522,lightoil,3.04
+R12_CHN,2040,loil_i,VOC_Emission,R12_CHN,2040,M1,1.243105633802817,???,1.4084507042253522,lightoil,0.882605
+R12_CHN,2045,biomass_i,BCA_Emission,R12_CHN,2045,M1,0.3544568982630273,???,1.5756823821339951,biomass,0.22495453543307084
+R12_CHN,2045,biomass_i,CH4_Emission,R12_CHN,2045,M1,1.2605459057071962,???,1.5756823821339951,biomass,0.8
+R12_CHN,2045,biomass_i,CO_Emission,R12_CHN,2045,M1,14.976325310173696,???,1.5756823821339951,biomass,9.504659999999998
+R12_CHN,2045,biomass_i,N2O_Emission,R12_CHN,2045,M1,0.15756823821339952,???,1.5756823821339951,biomass,0.1
+R12_CHN,2045,biomass_i,NH3_Emission,R12_CHN,2045,M1,0.22360267990074442,???,1.5756823821339951,biomass,0.14190847244094487
+R12_CHN,2045,biomass_i,NOx_Emission,R12_CHN,2045,M1,5.644664019851117,???,1.5756823821339951,biomass,3.5823615748031497
+R12_CHN,2045,biomass_i,OCA_Emission,R12_CHN,2045,M1,0.531684540942928,???,1.5756823821339951,biomass,0.3374312913385827
+R12_CHN,2045,biomass_i,SO2_Emission,R12_CHN,2045,M1,3.5451120347394545,???,1.5756823821339951,biomass,2.24989
+R12_CHN,2045,biomass_i,VOC_Emission,R12_CHN,2045,M1,2.3962189826302733,???,1.5756823821339951,biomass,1.52075
+R12_CHN,2045,coal_i,BCA_Emission,R12_CHN,2045,M1,0.40483855698529414,???,1.5165441176470589,coal,0.26694809090909094
+R12_CHN,2045,coal_i,CH4_Emission,R12_CHN,2045,M1,0.40946691176470584,???,1.5165441176470589,coal,0.26999999999999996
+R12_CHN,2045,coal_i,CO_Emission,R12_CHN,2045,M1,19.718492647058824,???,1.5165441176470589,coal,13.002254545454544
+R12_CHN,2045,coal_i,N2O_Emission,R12_CHN,2045,M1,0.05611213235294117,???,1.5165441176470589,coal,0.037
+R12_CHN,2045,coal_i,NH3_Emission,R12_CHN,2045,M1,0.0002866268382352941,???,1.5165441176470589,coal,0.00018899999999999999
+R12_CHN,2045,coal_i,NOx_Emission,R12_CHN,2045,M1,5.639983455882353,???,1.5165441176470589,coal,3.7189709090909093
+R12_CHN,2045,coal_i,OCA_Emission,R12_CHN,2045,M1,0.4691880055147059,???,1.5165441176470589,coal,0.3093797272727273
+R12_CHN,2045,coal_i,SO2_Emission,R12_CHN,2045,M1,26.369301470588233,???,1.5165441176470589,coal,17.387757575757576
+R12_CHN,2045,coal_i,VOC_Emission,R12_CHN,2045,M1,0.28629926470588235,???,1.5165441176470589,coal,0.18878399999999998
+R12_CHN,2045,eth_i,BCA_Emission,R12_CHN,2045,M1,0.15013764705882354,???,1.1764705882352942,ethanol,0.127617
+R12_CHN,2045,eth_i,CO_Emission,R12_CHN,2045,M1,3.505605882352941,???,1.1764705882352942,ethanol,2.9797649999999996
+R12_CHN,2045,eth_i,NH3_Emission,R12_CHN,2045,M1,0.005613529411764706,???,1.1764705882352942,ethanol,0.0047715
+R12_CHN,2045,eth_i,NOx_Emission,R12_CHN,2045,M1,7.536423529411765,???,1.1764705882352942,ethanol,6.40596
+R12_CHN,2045,eth_i,OCA_Emission,R12_CHN,2045,M1,0.06355529411764706,???,1.1764705882352942,ethanol,0.054021999999999994
+R12_CHN,2045,eth_i,VOC_Emission,R12_CHN,2045,M1,0.9566141176470588,???,1.1764705882352942,ethanol,0.813122
+R12_CHN,2045,foil_i,BCA_Emission,R12_CHN,2045,M1,0.17541740845070422,???,1.3708920187793427,fueloil,0.1279585890410959
+R12_CHN,2045,foil_i,CH4_Emission,R12_CHN,2045,M1,0.7402816901408451,???,1.3708920187793427,fueloil,0.54
+R12_CHN,2045,foil_i,CO_Emission,R12_CHN,2045,M1,4.08996234741784,???,1.3708920187793427,fueloil,2.983431438356164
+R12_CHN,2045,foil_i,N2O_Emission,R12_CHN,2045,M1,0.016450704225352115,???,1.3708920187793427,fueloil,0.012000000000000002
+R12_CHN,2045,foil_i,NH3_Emission,R12_CHN,2045,M1,0.006544272300469483,???,1.3708920187793427,fueloil,0.004773732876712328
+R12_CHN,2045,foil_i,NOx_Emission,R12_CHN,2045,M1,8.802343661971832,???,1.3708920187793427,fueloil,6.420887671232878
+R12_CHN,2045,foil_i,OCA_Emission,R12_CHN,2045,M1,0.0742711737089202,???,1.3708920187793427,fueloil,0.054177260273972606
+R12_CHN,2045,foil_i,SO2_Emission,R12_CHN,2045,M1,3.7927184037558686,???,1.3708920187793427,fueloil,2.7666062328767125
+R12_CHN,2045,foil_i,VOC_Emission,R12_CHN,2045,M1,1.1173121502347418,???,1.3708920187793427,fueloil,0.8150256438356165
+R12_CHN,2045,gas_i,BCA_Emission,R12_CHN,2045,M1,0.00908612012987013,???,1.2743506493506493,gas,0.00713
+R12_CHN,2045,gas_i,CH4_Emission,R12_CHN,2045,M1,0.16566558441558443,???,1.2743506493506493,gas,0.13
+R12_CHN,2045,gas_i,CO_Emission,R12_CHN,2045,M1,1.3126726461038962,???,1.2743506493506493,gas,1.0300717834394906
+R12_CHN,2045,gas_i,N2O_Emission,R12_CHN,2045,M1,0.0025487012987012985,???,1.2743506493506493,gas,0.002
+R12_CHN,2045,gas_i,NH3_Emission,R12_CHN,2045,M1,0.0052324025974025985,???,1.2743506493506493,gas,0.004105936305732485
+R12_CHN,2045,gas_i,NOx_Emission,R12_CHN,2045,M1,2.0270829545454543,???,1.2743506493506493,gas,1.5906791082802545
+R12_CHN,2045,gas_i,OCA_Emission,R12_CHN,2045,M1,0.10170465097402598,???,1.2743506493506493,gas,0.079809
+R12_CHN,2045,gas_i,SO2_Emission,R12_CHN,2045,M1,0.38869224025974025,???,1.2743506493506493,gas,0.305012
+R12_CHN,2045,gas_i,VOC_Emission,R12_CHN,2045,M1,0.07644956980519481,???,1.2743506493506493,gas,0.059991
+R12_CHN,2045,loil_i,BCA_Emission,R12_CHN,2045,M1,0.17541740845070422,???,1.3708920187793427,lightoil,0.1279585890410959
+R12_CHN,2045,loil_i,CO_Emission,R12_CHN,2045,M1,4.08996234741784,???,1.3708920187793427,lightoil,2.983431438356164
+R12_CHN,2045,loil_i,NH3_Emission,R12_CHN,2045,M1,0.006544272300469483,???,1.3708920187793427,lightoil,0.004773732876712328
+R12_CHN,2045,loil_i,NOx_Emission,R12_CHN,2045,M1,8.802343661971832,???,1.3708920187793427,lightoil,6.420887671232878
+R12_CHN,2045,loil_i,OCA_Emission,R12_CHN,2045,M1,0.0742711737089202,???,1.3708920187793427,lightoil,0.054177260273972606
+R12_CHN,2045,loil_i,SO2_Emission,R12_CHN,2045,M1,3.7927184037558686,???,1.3708920187793427,lightoil,2.7666062328767125
+R12_CHN,2045,loil_i,VOC_Emission,R12_CHN,2045,M1,1.1173121502347418,???,1.3708920187793427,lightoil,0.8150256438356165
+R12_CHN,2050,biomass_i,BCA_Emission,R12_CHN,2050,M1,0.30418153846153845,???,1.5384615384615383,biomass,0.197718
+R12_CHN,2050,biomass_i,CH4_Emission,R12_CHN,2050,M1,1.2307692307692308,???,1.5384615384615383,biomass,0.8000000000000002
+R12_CHN,2050,biomass_i,CO_Emission,R12_CHN,2050,M1,14.622553846153844,???,1.5384615384615383,biomass,9.50466
+R12_CHN,2050,biomass_i,N2O_Emission,R12_CHN,2050,M1,0.15384615384615385,???,1.5384615384615383,biomass,0.10000000000000002
+R12_CHN,2050,biomass_i,NH3_Emission,R12_CHN,2050,M1,0.20958923076923075,???,1.5384615384615383,biomass,0.136233
+R12_CHN,2050,biomass_i,NOx_Emission,R12_CHN,2050,M1,5.227553846153846,???,1.5384615384615383,biomass,3.39791
+R12_CHN,2050,biomass_i,OCA_Emission,R12_CHN,2050,M1,0.45627230769230764,???,1.5384615384615383,biomass,0.296577
+R12_CHN,2050,biomass_i,SO2_Emission,R12_CHN,2050,M1,3.4613692307692308,???,1.5384615384615383,biomass,2.24989
+R12_CHN,2050,biomass_i,VOC_Emission,R12_CHN,2050,M1,2.3396153846153847,???,1.5384615384615383,biomass,1.5207500000000003
+R12_CHN,2050,coal_i,BCA_Emission,R12_CHN,2050,M1,0.3448411764705882,???,1.4705882352941175,coal,0.234492
+R12_CHN,2050,coal_i,CH4_Emission,R12_CHN,2050,M1,0.39705882352941174,???,1.4705882352941175,coal,0.27
+R12_CHN,2050,coal_i,CO_Emission,R12_CHN,2050,M1,18.033235294117645,???,1.4705882352941175,coal,12.262599999999999
+R12_CHN,2050,coal_i,N2O_Emission,R12_CHN,2050,M1,0.05441176470588235,???,1.4705882352941175,coal,0.037
+R12_CHN,2050,coal_i,NH3_Emission,R12_CHN,2050,M1,0.0002779411764705882,???,1.4705882352941175,coal,0.000189
+R12_CHN,2050,coal_i,NOx_Emission,R12_CHN,2050,M1,5.035529411764705,???,1.4705882352941175,coal,3.42416
+R12_CHN,2050,coal_i,OCA_Emission,R12_CHN,2050,M1,0.4002338235294117,???,1.4705882352941175,coal,0.272159
+R12_CHN,2050,coal_i,SO2_Emission,R12_CHN,2050,M1,23.817352941176466,???,1.4705882352941175,coal,16.1958
+R12_CHN,2050,coal_i,VOC_Emission,R12_CHN,2050,M1,0.2776235294117647,???,1.4705882352941175,coal,0.188784
+R12_CHN,2050,eth_i,BCA_Emission,R12_CHN,2050,M1,0.1354694117647059,???,1.1764705882352942,ethanol,0.115149
+R12_CHN,2050,eth_i,CO_Emission,R12_CHN,2050,M1,3.348164705882353,???,1.1764705882352942,ethanol,2.84594
+R12_CHN,2050,eth_i,NH3_Emission,R12_CHN,2050,M1,0.005517647058823529,???,1.1764705882352942,ethanol,0.00469
+R12_CHN,2050,eth_i,NOx_Emission,R12_CHN,2050,M1,6.895411764705883,???,1.1764705882352942,ethanol,5.8611
+R12_CHN,2050,eth_i,OCA_Emission,R12_CHN,2050,M1,0.05688823529411765,???,1.1764705882352942,ethanol,0.048355
+R12_CHN,2050,eth_i,VOC_Emission,R12_CHN,2050,M1,0.874869411764706,???,1.1764705882352942,ethanol,0.743639
+R12_CHN,2050,foil_i,BCA_Emission,R12_CHN,2050,M1,0.153532,???,1.3333333333333333,fueloil,0.115149
+R12_CHN,2050,foil_i,CH4_Emission,R12_CHN,2050,M1,0.72,???,1.3333333333333333,fueloil,0.54
+R12_CHN,2050,foil_i,CO_Emission,R12_CHN,2050,M1,3.7945866666666666,???,1.3333333333333333,fueloil,2.84594
+R12_CHN,2050,foil_i,N2O_Emission,R12_CHN,2050,M1,0.016,???,1.3333333333333333,fueloil,0.012
+R12_CHN,2050,foil_i,NH3_Emission,R12_CHN,2050,M1,0.006253333333333333,???,1.3333333333333333,fueloil,0.00469
+R12_CHN,2050,foil_i,NOx_Emission,R12_CHN,2050,M1,7.8148,???,1.3333333333333333,fueloil,5.8611
+R12_CHN,2050,foil_i,OCA_Emission,R12_CHN,2050,M1,0.06447333333333333,???,1.3333333333333333,fueloil,0.048354999999999995
+R12_CHN,2050,foil_i,SO2_Emission,R12_CHN,2050,M1,3.303746666666666,???,1.3333333333333333,fueloil,2.47781
+R12_CHN,2050,foil_i,VOC_Emission,R12_CHN,2050,M1,0.9915186666666667,???,1.3333333333333333,fueloil,0.743639
+R12_CHN,2050,gas_i,BCA_Emission,R12_CHN,2050,M1,0.0089125,???,1.25,gas,0.00713
+R12_CHN,2050,gas_i,CH4_Emission,R12_CHN,2050,M1,0.1625,???,1.25,gas,0.13
+R12_CHN,2050,gas_i,CO_Emission,R12_CHN,2050,M1,1.2791375,???,1.25,gas,1.02331
+R12_CHN,2050,gas_i,N2O_Emission,R12_CHN,2050,M1,0.0025,???,1.25,gas,0.002
+R12_CHN,2050,gas_i,NH3_Emission,R12_CHN,2050,M1,0.0049700000000000005,???,1.25,gas,0.003976
+R12_CHN,2050,gas_i,NOx_Emission,R12_CHN,2050,M1,1.8100749999999999,???,1.25,gas,1.44806
+R12_CHN,2050,gas_i,OCA_Emission,R12_CHN,2050,M1,0.09976125000000001,???,1.25,gas,0.079809
+R12_CHN,2050,gas_i,SO2_Emission,R12_CHN,2050,M1,0.381265,???,1.25,gas,0.305012
+R12_CHN,2050,gas_i,VOC_Emission,R12_CHN,2050,M1,0.07498875,???,1.25,gas,0.059991
+R12_CHN,2050,loil_i,BCA_Emission,R12_CHN,2050,M1,0.153532,???,1.3333333333333333,lightoil,0.115149
+R12_CHN,2050,loil_i,CO_Emission,R12_CHN,2050,M1,3.7945866666666666,???,1.3333333333333333,lightoil,2.84594
+R12_CHN,2050,loil_i,NH3_Emission,R12_CHN,2050,M1,0.006253333333333333,???,1.3333333333333333,lightoil,0.00469
+R12_CHN,2050,loil_i,NOx_Emission,R12_CHN,2050,M1,7.8148,???,1.3333333333333333,lightoil,5.8611
+R12_CHN,2050,loil_i,OCA_Emission,R12_CHN,2050,M1,0.06447333333333333,???,1.3333333333333333,lightoil,0.048354999999999995
+R12_CHN,2050,loil_i,SO2_Emission,R12_CHN,2050,M1,3.303746666666666,???,1.3333333333333333,lightoil,2.47781
+R12_CHN,2050,loil_i,VOC_Emission,R12_CHN,2050,M1,0.9915186666666667,???,1.3333333333333333,lightoil,0.743639
+R12_CHN,2055,biomass_i,BCA_Emission,R12_CHN,2055,M1,0.275112092760181,???,1.504524886877828,biomass,0.18285645864661654
+R12_CHN,2055,biomass_i,CH4_Emission,R12_CHN,2055,M1,1.2036199095022626,???,1.504524886877828,biomass,0.8000000000000002
+R12_CHN,2055,biomass_i,CO_Emission,R12_CHN,2055,M1,14.299997511312215,???,1.504524886877828,biomass,9.50466
+R12_CHN,2055,biomass_i,N2O_Emission,R12_CHN,2055,M1,0.15045248868778283,???,1.504524886877828,biomass,0.10000000000000002
+R12_CHN,2055,biomass_i,NH3_Emission,R12_CHN,2055,M1,0.20030711538461538,???,1.504524886877828,biomass,0.13313645864661652
+R12_CHN,2055,biomass_i,NOx_Emission,R12_CHN,2055,M1,4.960821040723982,???,1.504524886877828,biomass,3.297267518796992
+R12_CHN,2055,biomass_i,OCA_Emission,R12_CHN,2055,M1,0.4126685067873303,???,1.504524886877828,biomass,0.27428493233082707
+R12_CHN,2055,biomass_i,SO2_Emission,R12_CHN,2055,M1,3.3850154977375566,???,1.504524886877828,biomass,2.24989
+R12_CHN,2055,biomass_i,VOC_Emission,R12_CHN,2055,M1,2.2880062217194572,???,1.504524886877828,biomass,1.52075
+R12_CHN,2055,coal_i,BCA_Emission,R12_CHN,2055,M1,0.3102608660130719,???,1.429738562091503,coal,0.21700531428571432
+R12_CHN,2055,coal_i,CH4_Emission,R12_CHN,2055,M1,0.38602941176470584,???,1.429738562091503,coal,0.27
+R12_CHN,2055,coal_i,CO_Emission,R12_CHN,2055,M1,16.962589869281043,???,1.429738562091503,coal,11.86412
+R12_CHN,2055,coal_i,N2O_Emission,R12_CHN,2055,M1,0.05290032679738561,???,1.429738562091503,coal,0.037
+R12_CHN,2055,coal_i,NH3_Emission,R12_CHN,2055,M1,0.0002702205882352941,???,1.429738562091503,coal,0.00018899999999999999
+R12_CHN,2055,coal_i,NOx_Emission,R12_CHN,2055,M1,4.66855637254902,???,1.429738562091503,coal,3.2653217142857147
+R12_CHN,2055,coal_i,OCA_Emission,R12_CHN,2055,M1,0.3602669117647058,???,1.429738562091503,coal,0.2519809714285714
+R12_CHN,2055,coal_i,SO2_Emission,R12_CHN,2055,M1,22.237565359477124,???,1.429738562091503,coal,15.553588571428573
+R12_CHN,2055,coal_i,VOC_Emission,R12_CHN,2055,M1,0.26991176470588235,???,1.429738562091503,coal,0.18878400000000004
+R12_CHN,2055,eth_i,BCA_Emission,R12_CHN,2055,M1,0.12705235294117648,???,1.1764705882352942,ethanol,0.10799450000000001
+R12_CHN,2055,eth_i,CO_Emission,R12_CHN,2055,M1,3.2512117647058822,???,1.1764705882352942,ethanol,2.76353
+R12_CHN,2055,eth_i,NH3_Emission,R12_CHN,2055,M1,0.005463529411764706,???,1.1764705882352942,ethanol,0.004644
+R12_CHN,2055,eth_i,NOx_Emission,R12_CHN,2055,M1,6.529117647058824,???,1.1764705882352942,ethanol,5.5497499999999995
+R12_CHN,2055,eth_i,OCA_Emission,R12_CHN,2055,M1,0.05305058823529412,???,1.1764705882352942,ethanol,0.045093
+R12_CHN,2055,eth_i,VOC_Emission,R12_CHN,2055,M1,0.8271235294117648,???,1.1764705882352942,ethanol,0.7030550000000001
+R12_CHN,2055,foil_i,BCA_Emission,R12_CHN,2055,M1,0.14058878481012657,???,1.2995780590717299,fueloil,0.10818033116883118
+R12_CHN,2055,foil_i,CH4_Emission,R12_CHN,2055,M1,0.7017721518987341,???,1.2995780590717299,fueloil,0.54
+R12_CHN,2055,foil_i,CO_Emission,R12_CHN,2055,M1,3.5942047257383964,???,1.2995780590717299,fueloil,2.7656705194805196
+R12_CHN,2055,foil_i,N2O_Emission,R12_CHN,2055,M1,0.015594936708860759,???,1.2995780590717299,fueloil,0.012
+R12_CHN,2055,foil_i,NH3_Emission,R12_CHN,2055,M1,0.006036793248945147,???,1.2995780590717299,fueloil,0.004645194805194805
+R12_CHN,2055,foil_i,NOx_Emission,R12_CHN,2055,M1,7.222843037974684,???,1.2995780590717299,fueloil,5.557837012987013
+R12_CHN,2055,foil_i,OCA_Emission,R12_CHN,2055,M1,0.058711983122362865,???,1.2995780590717299,fueloil,0.04517772727272727
+R12_CHN,2055,foil_i,SO2_Emission,R12_CHN,2055,M1,3.015721434599156,???,1.2995780590717299,fueloil,2.320538896103896
+R12_CHN,2055,foil_i,VOC_Emission,R12_CHN,2055,M1,0.915044776371308,???,1.2995780590717299,fueloil,0.7041091298701299
+R12_CHN,2055,gas_i,BCA_Emission,R12_CHN,2055,M1,0.008751430722891567,???,1.2274096385542168,gas,0.007130000000000001
+R12_CHN,2055,gas_i,CH4_Emission,R12_CHN,2055,M1,0.1595632530120482,???,1.2274096385542168,gas,0.13000000000000003
+R12_CHN,2055,gas_i,CO_Emission,R12_CHN,2055,M1,1.2512976656626509,???,1.2274096385542168,gas,1.019462147239264
+R12_CHN,2055,gas_i,N2O_Emission,R12_CHN,2055,M1,0.002454819277108434,???,1.2274096385542168,gas,0.002
+R12_CHN,2055,gas_i,NH3_Emission,R12_CHN,2055,M1,0.004791626506024097,???,1.2274096385542168,gas,0.003903852760736197
+R12_CHN,2055,gas_i,NOx_Emission,R12_CHN,2055,M1,1.6807784638554217,???,1.2274096385542168,gas,1.3693704294478528
+R12_CHN,2055,gas_i,OCA_Emission,R12_CHN,2055,M1,0.0979583358433735,???,1.2274096385542168,gas,0.079809
+R12_CHN,2055,gas_i,SO2_Emission,R12_CHN,2055,M1,0.3743746686746988,???,1.2274096385542168,gas,0.30501200000000006
+R12_CHN,2055,gas_i,VOC_Emission,R12_CHN,2055,M1,0.07363353162650603,???,1.2274096385542168,gas,0.05999100000000001
+R12_CHN,2055,loil_i,BCA_Emission,R12_CHN,2055,M1,0.14058878481012657,???,1.2995780590717299,lightoil,0.10818033116883118
+R12_CHN,2055,loil_i,CO_Emission,R12_CHN,2055,M1,3.5942047257383964,???,1.2995780590717299,lightoil,2.7656705194805196
+R12_CHN,2055,loil_i,NH3_Emission,R12_CHN,2055,M1,0.006036793248945147,???,1.2995780590717299,lightoil,0.004645194805194805
+R12_CHN,2055,loil_i,NOx_Emission,R12_CHN,2055,M1,7.222843037974684,???,1.2995780590717299,lightoil,5.557837012987013
+R12_CHN,2055,loil_i,OCA_Emission,R12_CHN,2055,M1,0.058711983122362865,???,1.2995780590717299,lightoil,0.04517772727272727
+R12_CHN,2055,loil_i,SO2_Emission,R12_CHN,2055,M1,3.015721434599156,???,1.2995780590717299,lightoil,2.320538896103896
+R12_CHN,2055,loil_i,VOC_Emission,R12_CHN,2055,M1,0.915044776371308,???,1.2995780590717299,lightoil,0.7041091298701299
+R12_CHN,2060,biomass_i,BCA_Emission,R12_CHN,2060,M1,0.24604264705882353,???,1.4705882352941175,biomass,0.167309
+R12_CHN,2060,biomass_i,CH4_Emission,R12_CHN,2060,M1,1.1764705882352942,???,1.4705882352941175,biomass,0.8
+R12_CHN,2060,biomass_i,CO_Emission,R12_CHN,2060,M1,13.977441176470586,???,1.4705882352941175,biomass,9.50466
+R12_CHN,2060,biomass_i,N2O_Emission,R12_CHN,2060,M1,0.14705882352941177,???,1.4705882352941175,biomass,0.1
+R12_CHN,2060,biomass_i,NH3_Emission,R12_CHN,2060,M1,0.191025,???,1.4705882352941175,biomass,0.129897
+R12_CHN,2060,biomass_i,NOx_Emission,R12_CHN,2060,M1,4.694088235294117,???,1.4705882352941175,biomass,3.19198
+R12_CHN,2060,biomass_i,OCA_Emission,R12_CHN,2060,M1,0.36906470588235296,???,1.4705882352941175,biomass,0.250964
+R12_CHN,2060,biomass_i,SO2_Emission,R12_CHN,2060,M1,3.3086617647058825,???,1.4705882352941175,biomass,2.24989
+R12_CHN,2060,biomass_i,VOC_Emission,R12_CHN,2060,M1,2.2363970588235293,???,1.4705882352941175,biomass,1.52075
+R12_CHN,2060,coal_i,BCA_Emission,R12_CHN,2060,M1,0.27568055555555554,???,1.3888888888888888,coal,0.19849
+R12_CHN,2060,coal_i,CH4_Emission,R12_CHN,2060,M1,0.375,???,1.3888888888888888,coal,0.27
+R12_CHN,2060,coal_i,CO_Emission,R12_CHN,2060,M1,15.891944444444443,???,1.3888888888888888,coal,11.4422
+R12_CHN,2060,coal_i,N2O_Emission,R12_CHN,2060,M1,0.05138888888888889,???,1.3888888888888888,coal,0.037
+R12_CHN,2060,coal_i,NH3_Emission,R12_CHN,2060,M1,0.0002625,???,1.3888888888888888,coal,0.00018899999999999999
+R12_CHN,2060,coal_i,NOx_Emission,R12_CHN,2060,M1,4.301583333333333,???,1.3888888888888888,coal,3.09714
+R12_CHN,2060,coal_i,OCA_Emission,R12_CHN,2060,M1,0.3203,???,1.3888888888888888,coal,0.230616
+R12_CHN,2060,coal_i,SO2_Emission,R12_CHN,2060,M1,20.657777777777778,???,1.3888888888888888,coal,14.8736
+R12_CHN,2060,coal_i,VOC_Emission,R12_CHN,2060,M1,0.2622,???,1.3888888888888888,coal,0.188784
+R12_CHN,2060,eth_i,BCA_Emission,R12_CHN,2060,M1,0.11863529411764706,???,1.1764705882352942,ethanol,0.10084
+R12_CHN,2060,eth_i,CO_Emission,R12_CHN,2060,M1,3.154258823529412,???,1.1764705882352942,ethanol,2.68112
+R12_CHN,2060,eth_i,NH3_Emission,R12_CHN,2060,M1,0.005409411764705882,???,1.1764705882352942,ethanol,0.004598
+R12_CHN,2060,eth_i,NOx_Emission,R12_CHN,2060,M1,6.1628235294117655,???,1.1764705882352942,ethanol,5.2384
+R12_CHN,2060,eth_i,OCA_Emission,R12_CHN,2060,M1,0.04921294117647059,???,1.1764705882352942,ethanol,0.041831
+R12_CHN,2060,eth_i,VOC_Emission,R12_CHN,2060,M1,0.7793776470588236,???,1.1764705882352942,ethanol,0.662471
+R12_CHN,2060,foil_i,BCA_Emission,R12_CHN,2060,M1,0.12764556962025314,???,1.2658227848101264,fueloil,0.10084
+R12_CHN,2060,foil_i,CH4_Emission,R12_CHN,2060,M1,0.6835443037974683,???,1.2658227848101264,fueloil,0.54
+R12_CHN,2060,foil_i,CO_Emission,R12_CHN,2060,M1,3.3938227848101263,???,1.2658227848101264,fueloil,2.68112
+R12_CHN,2060,foil_i,N2O_Emission,R12_CHN,2060,M1,0.015189873417721518,???,1.2658227848101264,fueloil,0.012
+R12_CHN,2060,foil_i,NH3_Emission,R12_CHN,2060,M1,0.005820253164556961,???,1.2658227848101264,fueloil,0.004598
+R12_CHN,2060,foil_i,NOx_Emission,R12_CHN,2060,M1,6.630886075949367,???,1.2658227848101264,fueloil,5.2384
+R12_CHN,2060,foil_i,OCA_Emission,R12_CHN,2060,M1,0.052950632911392397,???,1.2658227848101264,fueloil,0.041831
+R12_CHN,2060,foil_i,SO2_Emission,R12_CHN,2060,M1,2.727696202531645,???,1.2658227848101264,fueloil,2.15488
+R12_CHN,2060,foil_i,VOC_Emission,R12_CHN,2060,M1,0.8385708860759493,???,1.2658227848101264,fueloil,0.662471
+R12_CHN,2060,gas_i,BCA_Emission,R12_CHN,2060,M1,0.008590361445783134,???,1.2048192771084338,gas,0.00713
+R12_CHN,2060,gas_i,CH4_Emission,R12_CHN,2060,M1,0.15662650602409642,???,1.2048192771084338,gas,0.13
+R12_CHN,2060,gas_i,CO_Emission,R12_CHN,2060,M1,1.2234578313253015,???,1.2048192771084338,gas,1.01547
+R12_CHN,2060,gas_i,N2O_Emission,R12_CHN,2060,M1,0.0024096385542168677,???,1.2048192771084338,gas,0.002
+R12_CHN,2060,gas_i,NH3_Emission,R12_CHN,2060,M1,0.0046132530120481935,???,1.2048192771084338,gas,0.0038290000000000004
+R12_CHN,2060,gas_i,NOx_Emission,R12_CHN,2060,M1,1.5514819277108436,???,1.2048192771084338,gas,1.28773
+R12_CHN,2060,gas_i,OCA_Emission,R12_CHN,2060,M1,0.096155421686747,???,1.2048192771084338,gas,0.079809
+R12_CHN,2060,gas_i,SO2_Emission,R12_CHN,2060,M1,0.3674843373493976,???,1.2048192771084338,gas,0.305012
+R12_CHN,2060,gas_i,VOC_Emission,R12_CHN,2060,M1,0.07227831325301205,???,1.2048192771084338,gas,0.059990999999999996
+R12_CHN,2060,loil_i,BCA_Emission,R12_CHN,2060,M1,0.12764556962025314,???,1.2658227848101264,lightoil,0.10084
+R12_CHN,2060,loil_i,CO_Emission,R12_CHN,2060,M1,3.3938227848101263,???,1.2658227848101264,lightoil,2.68112
+R12_CHN,2060,loil_i,NH3_Emission,R12_CHN,2060,M1,0.005820253164556961,???,1.2658227848101264,lightoil,0.004598
+R12_CHN,2060,loil_i,NOx_Emission,R12_CHN,2060,M1,6.630886075949367,???,1.2658227848101264,lightoil,5.2384
+R12_CHN,2060,loil_i,OCA_Emission,R12_CHN,2060,M1,0.052950632911392397,???,1.2658227848101264,lightoil,0.041831
+R12_CHN,2060,loil_i,SO2_Emission,R12_CHN,2060,M1,2.727696202531645,???,1.2658227848101264,lightoil,2.15488
+R12_CHN,2060,loil_i,VOC_Emission,R12_CHN,2060,M1,0.8385708860759493,???,1.2658227848101264,lightoil,0.662471
+R12_CHN,2070,biomass_i,BCA_Emission,R12_CHN,2070,M1,0.19281830985915493,???,1.4084507042253522,biomass,0.136901
+R12_CHN,2070,biomass_i,CH4_Emission,R12_CHN,2070,M1,1.1267605633802817,???,1.4084507042253522,biomass,0.7999999999999999
+R12_CHN,2070,biomass_i,CO_Emission,R12_CHN,2070,M1,13.386845070422536,???,1.4084507042253522,biomass,9.50466
+R12_CHN,2070,biomass_i,N2O_Emission,R12_CHN,2070,M1,0.14084507042253522,???,1.4084507042253522,biomass,0.09999999999999999
+R12_CHN,2070,biomass_i,NH3_Emission,R12_CHN,2070,M1,0.17402957746478875,???,1.4084507042253522,biomass,0.123561
+R12_CHN,2070,biomass_i,NOx_Emission,R12_CHN,2070,M1,4.205704225352113,???,1.4084507042253522,biomass,2.9860499999999996
+R12_CHN,2070,biomass_i,OCA_Emission,R12_CHN,2070,M1,0.2892267605633803,???,1.4084507042253522,biomass,0.205351
+R12_CHN,2070,biomass_i,SO2_Emission,R12_CHN,2070,M1,3.168859154929578,???,1.4084507042253522,biomass,2.24989
+R12_CHN,2070,biomass_i,VOC_Emission,R12_CHN,2070,M1,2.1419014084507046,???,1.4084507042253522,biomass,1.5207500000000003
+R12_CHN,2070,coal_i,BCA_Emission,R12_CHN,2070,M1,0.2137986842105263,???,1.3157894736842106,coal,0.162487
+R12_CHN,2070,coal_i,CH4_Emission,R12_CHN,2070,M1,0.3552631578947369,???,1.3157894736842106,coal,0.27
+R12_CHN,2070,coal_i,CO_Emission,R12_CHN,2070,M1,13.97592105263158,???,1.3157894736842106,coal,10.6217
+R12_CHN,2070,coal_i,N2O_Emission,R12_CHN,2070,M1,0.04868421052631579,???,1.3157894736842106,coal,0.037
+R12_CHN,2070,coal_i,NH3_Emission,R12_CHN,2070,M1,0.00024868421052631583,???,1.3157894736842106,coal,0.000189
+R12_CHN,2070,coal_i,NOx_Emission,R12_CHN,2070,M1,3.6449078947368423,???,1.3157894736842106,coal,2.77013
+R12_CHN,2070,coal_i,OCA_Emission,R12_CHN,2070,M1,0.24878157894736844,???,1.3157894736842106,coal,0.189074
+R12_CHN,2070,coal_i,SO2_Emission,R12_CHN,2070,M1,17.83092105263158,???,1.3157894736842106,coal,13.5515
+R12_CHN,2070,coal_i,VOC_Emission,R12_CHN,2070,M1,0.24840000000000004,???,1.3157894736842106,coal,0.188784
+R12_CHN,2070,eth_i,BCA_Emission,R12_CHN,2070,M1,0.1018,???,1.1764705882352942,ethanol,0.08653
+R12_CHN,2070,eth_i,CO_Emission,R12_CHN,2070,M1,2.960352941176471,???,1.1764705882352942,ethanol,2.5163
+R12_CHN,2070,eth_i,NH3_Emission,R12_CHN,2070,M1,0.005300000000000001,???,1.1764705882352942,ethanol,0.004505
+R12_CHN,2070,eth_i,NOx_Emission,R12_CHN,2070,M1,5.430235294117647,???,1.1764705882352942,ethanol,4.6157
+R12_CHN,2070,eth_i,OCA_Emission,R12_CHN,2070,M1,0.04153647058823529,???,1.1764705882352942,ethanol,0.035306
+R12_CHN,2070,eth_i,VOC_Emission,R12_CHN,2070,M1,0.6838870588235295,???,1.1764705882352942,ethanol,0.581304
+R12_CHN,2070,foil_i,BCA_Emission,R12_CHN,2070,M1,0.10425301204819278,???,1.2048192771084338,fueloil,0.08653
+R12_CHN,2070,foil_i,CH4_Emission,R12_CHN,2070,M1,0.6506024096385543,???,1.2048192771084338,fueloil,0.54
+R12_CHN,2070,foil_i,CO_Emission,R12_CHN,2070,M1,3.0316867469879525,???,1.2048192771084338,fueloil,2.5163
+R12_CHN,2070,foil_i,N2O_Emission,R12_CHN,2070,M1,0.014457831325301207,???,1.2048192771084338,fueloil,0.012
+R12_CHN,2070,foil_i,NH3_Emission,R12_CHN,2070,M1,0.005427710843373495,???,1.2048192771084338,fueloil,0.004505
+R12_CHN,2070,foil_i,NOx_Emission,R12_CHN,2070,M1,5.561084337349398,???,1.2048192771084338,fueloil,4.6157
+R12_CHN,2070,foil_i,OCA_Emission,R12_CHN,2070,M1,0.04253734939759036,???,1.2048192771084338,fueloil,0.035306
+R12_CHN,2070,foil_i,SO2_Emission,R12_CHN,2070,M1,2.2071807228915663,???,1.2048192771084338,fueloil,1.8319599999999998
+R12_CHN,2070,foil_i,VOC_Emission,R12_CHN,2070,M1,0.700366265060241,???,1.2048192771084338,fueloil,0.581304
+R12_CHN,2070,gas_i,BCA_Emission,R12_CHN,2070,M1,0.008290697674418606,???,1.1627906976744187,gas,0.00713
+R12_CHN,2070,gas_i,CH4_Emission,R12_CHN,2070,M1,0.15116279069767444,???,1.1627906976744187,gas,0.13
+R12_CHN,2070,gas_i,CO_Emission,R12_CHN,2070,M1,1.1716627906976744,???,1.1627906976744187,gas,1.00763
+R12_CHN,2070,gas_i,N2O_Emission,R12_CHN,2070,M1,0.002325581395348837,???,1.1627906976744187,gas,0.002
+R12_CHN,2070,gas_i,NH3_Emission,R12_CHN,2070,M1,0.0042813953488372095,???,1.1627906976744187,gas,0.003682
+R12_CHN,2070,gas_i,NOx_Emission,R12_CHN,2070,M1,1.3109418604651164,???,1.1627906976744187,gas,1.12741
+R12_CHN,2070,gas_i,OCA_Emission,R12_CHN,2070,M1,0.09280116279069768,???,1.1627906976744187,gas,0.079809
+R12_CHN,2070,gas_i,SO2_Emission,R12_CHN,2070,M1,0.35466511627906977,???,1.1627906976744187,gas,0.305012
+R12_CHN,2070,gas_i,VOC_Emission,R12_CHN,2070,M1,0.06975697674418606,???,1.1627906976744187,gas,0.05999100000000001
+R12_CHN,2070,loil_i,BCA_Emission,R12_CHN,2070,M1,0.10425301204819278,???,1.2048192771084338,lightoil,0.08653
+R12_CHN,2070,loil_i,CO_Emission,R12_CHN,2070,M1,3.0316867469879525,???,1.2048192771084338,lightoil,2.5163
+R12_CHN,2070,loil_i,NH3_Emission,R12_CHN,2070,M1,0.005427710843373495,???,1.2048192771084338,lightoil,0.004505
+R12_CHN,2070,loil_i,NOx_Emission,R12_CHN,2070,M1,5.561084337349398,???,1.2048192771084338,lightoil,4.6157
+R12_CHN,2070,loil_i,OCA_Emission,R12_CHN,2070,M1,0.04253734939759036,???,1.2048192771084338,lightoil,0.035306
+R12_CHN,2070,loil_i,SO2_Emission,R12_CHN,2070,M1,2.2071807228915663,???,1.2048192771084338,lightoil,1.8319599999999998
+R12_CHN,2070,loil_i,VOC_Emission,R12_CHN,2070,M1,0.700366265060241,???,1.2048192771084338,lightoil,0.581304
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+R12_CHN,2080,biomass_i,CH4_Emission,R12_CHN,2080,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_CHN,2080,biomass_i,CO_Emission,R12_CHN,2080,M1,12.67288,???,1.3333333333333333,biomass,9.50466
+R12_CHN,2080,biomass_i,N2O_Emission,R12_CHN,2080,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_CHN,2080,biomass_i,NH3_Emission,R12_CHN,2080,M1,0.15629866666666664,???,1.3333333333333333,biomass,0.11722399999999998
+R12_CHN,2080,biomass_i,NOx_Emission,R12_CHN,2080,M1,3.7068133333333333,???,1.3333333333333333,biomass,2.78011
+R12_CHN,2080,biomass_i,OCA_Emission,R12_CHN,2080,M1,0.21298399999999998,???,1.3333333333333333,biomass,0.159738
+R12_CHN,2080,biomass_i,SO2_Emission,R12_CHN,2080,M1,2.9998533333333333,???,1.3333333333333333,biomass,2.24989
+R12_CHN,2080,biomass_i,VOC_Emission,R12_CHN,2080,M1,2.0276666666666667,???,1.3333333333333333,biomass,1.52075
+R12_CHN,2080,coal_i,BCA_Emission,R12_CHN,2080,M1,0.15810624999999998,???,1.25,coal,0.126485
+R12_CHN,2080,coal_i,CH4_Emission,R12_CHN,2080,M1,0.3375,???,1.25,coal,0.27
+R12_CHN,2080,coal_i,CO_Emission,R12_CHN,2080,M1,12.251587500000001,???,1.25,coal,9.80127
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+R12_CHN,2080,coal_i,NH3_Emission,R12_CHN,2080,M1,0.00023625000000000002,???,1.25,coal,0.000189
+R12_CHN,2080,coal_i,NOx_Emission,R12_CHN,2080,M1,3.0538875,???,1.25,coal,2.44311
+R12_CHN,2080,coal_i,OCA_Emission,R12_CHN,2080,M1,0.18441375,???,1.25,coal,0.147531
+R12_CHN,2080,coal_i,SO2_Emission,R12_CHN,2080,M1,15.286625,???,1.25,coal,12.2293
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+R12_CHN,2080,eth_i,BCA_Emission,R12_CHN,2080,M1,0.08496470588235296,???,1.1764705882352942,ethanol,0.07222
+R12_CHN,2080,eth_i,CO_Emission,R12_CHN,2080,M1,2.7664470588235295,???,1.1764705882352942,ethanol,2.35148
+R12_CHN,2080,eth_i,NH3_Emission,R12_CHN,2080,M1,0.005190588235294118,???,1.1764705882352942,ethanol,0.004412
+R12_CHN,2080,eth_i,NOx_Emission,R12_CHN,2080,M1,4.697647058823529,???,1.1764705882352942,ethanol,3.9929999999999994
+R12_CHN,2080,eth_i,OCA_Emission,R12_CHN,2080,M1,0.033861176470588235,???,1.1764705882352942,ethanol,0.028782
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+R12_CHN,2080,foil_i,BCA_Emission,R12_CHN,2080,M1,0.08496470588235296,???,1.1764705882352942,fueloil,0.07222
+R12_CHN,2080,foil_i,CH4_Emission,R12_CHN,2080,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_CHN,2080,foil_i,CO_Emission,R12_CHN,2080,M1,2.7664470588235295,???,1.1764705882352942,fueloil,2.35148
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+R12_CHN,2080,foil_i,NOx_Emission,R12_CHN,2080,M1,4.697647058823529,???,1.1764705882352942,fueloil,3.9929999999999994
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+R12_CHN,2080,foil_i,SO2_Emission,R12_CHN,2080,M1,1.775329411764706,???,1.1764705882352942,fueloil,1.50903
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+R12_CHN,2080,gas_i,CH4_Emission,R12_CHN,2080,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
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+R12_CHN,2080,gas_i,SO2_Emission,R12_CHN,2080,M1,0.3389022222222222,???,1.1111111111111112,gas,0.305012
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+R12_CHN,2080,loil_i,BCA_Emission,R12_CHN,2080,M1,0.08496470588235296,???,1.1764705882352942,lightoil,0.07222
+R12_CHN,2080,loil_i,CO_Emission,R12_CHN,2080,M1,2.7664470588235295,???,1.1764705882352942,lightoil,2.35148
+R12_CHN,2080,loil_i,NH3_Emission,R12_CHN,2080,M1,0.005190588235294118,???,1.1764705882352942,lightoil,0.004412
+R12_CHN,2080,loil_i,NOx_Emission,R12_CHN,2080,M1,4.697647058823529,???,1.1764705882352942,lightoil,3.9929999999999994
+R12_CHN,2080,loil_i,OCA_Emission,R12_CHN,2080,M1,0.033861176470588235,???,1.1764705882352942,lightoil,0.028782
+R12_CHN,2080,loil_i,SO2_Emission,R12_CHN,2080,M1,1.775329411764706,???,1.1764705882352942,lightoil,1.50903
+R12_CHN,2080,loil_i,VOC_Emission,R12_CHN,2080,M1,0.5883964705882354,???,1.1764705882352942,lightoil,0.500137
+R12_CHN,2090,biomass_i,BCA_Emission,R12_CHN,2090,M1,0.10144399999999999,???,1.3333333333333333,biomass,0.076083
+R12_CHN,2090,biomass_i,CH4_Emission,R12_CHN,2090,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_CHN,2090,biomass_i,CO_Emission,R12_CHN,2090,M1,12.67288,???,1.3333333333333333,biomass,9.50466
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+R12_CHN,2090,biomass_i,NH3_Emission,R12_CHN,2090,M1,0.14785066666666666,???,1.3333333333333333,biomass,0.110888
+R12_CHN,2090,biomass_i,NOx_Emission,R12_CHN,2090,M1,3.43224,???,1.3333333333333333,biomass,2.57418
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+R12_EEU,2035,eth_i,NH3_Emission,R12_EEU,2035,M1,0.008108522980812138,???,1.2196935891715008,ethanol,0.006648
+R12_EEU,2035,eth_i,NOx_Emission,R12_EEU,2035,M1,4.199083147404433,???,1.2196935891715008,ethanol,3.4427360975609758
+R12_EEU,2035,eth_i,OCA_Emission,R12_EEU,2035,M1,0.02352086122266845,???,1.2196935891715008,ethanol,0.01928423780487805
+R12_EEU,2035,eth_i,VOC_Emission,R12_EEU,2035,M1,1.9622631265803956,???,1.2196935891715008,ethanol,1.608816463414634
+R12_EEU,2035,foil_i,BCA_Emission,R12_EEU,2035,M1,0.05479242424242424,???,1.2666345999679334,fueloil,0.04325827215189873
+R12_EEU,2035,foil_i,CH4_Emission,R12_EEU,2035,M1,0.6839826839826839,???,1.2666345999679334,fueloil,0.5399999999999999
+R12_EEU,2035,foil_i,CO_Emission,R12_EEU,2035,M1,4.034122655122655,???,1.2666345999679334,fueloil,3.184914303797468
+R12_EEU,2035,foil_i,N2O_Emission,R12_EEU,2035,M1,0.015199615199615199,???,1.2666345999679334,fueloil,0.011999999999999999
+R12_EEU,2035,foil_i,NH3_Emission,R12_EEU,2035,M1,0.008420586820586821,???,1.2666345999679334,fueloil,0.006648
+R12_EEU,2035,foil_i,NOx_Emission,R12_EEU,2035,M1,4.364240339907006,???,1.2666345999679334,fueloil,3.445540126582278
+R12_EEU,2035,foil_i,OCA_Emission,R12_EEU,2035,M1,0.024444805194805193,???,1.2666345999679334,fueloil,0.01929901898734177
+R12_EEU,2035,foil_i,SO2_Emission,R12_EEU,2035,M1,0.8595389770723103,???,1.2666345999679334,fueloil,0.6786005822784809
+R12_EEU,2035,foil_i,VOC_Emission,R12_EEU,2035,M1,2.0396176046176047,???,1.2666345999679334,fueloil,1.6102651898734177
+R12_EEU,2035,gas_i,BCA_Emission,R12_EEU,2035,M1,0.00019296653431650595,???,1.191151446398185,gas,0.000162
+R12_EEU,2035,gas_i,CH4_Emission,R12_EEU,2035,M1,0.15484968803176405,???,1.191151446398185,gas,0.13
+R12_EEU,2035,gas_i,CO_Emission,R12_EEU,2035,M1,0.6404520277935338,???,1.191151446398185,gas,0.5376747261904763
+R12_EEU,2035,gas_i,N2O_Emission,R12_EEU,2035,M1,0.014293817356778218,???,1.191151446398185,gas,0.011999999999999999
+R12_EEU,2035,gas_i,NH3_Emission,R12_EEU,2035,M1,0.004316732841747022,???,1.191151446398185,gas,0.003624
+R12_EEU,2035,gas_i,NOx_Emission,R12_EEU,2035,M1,1.5009475326148611,???,1.191151446398185,gas,1.2600811904761906
+R12_EEU,2035,gas_i,OCA_Emission,R12_EEU,2035,M1,0.002157175269427113,???,1.191151446398185,gas,0.001811
+R12_EEU,2035,gas_i,SO2_Emission,R12_EEU,2035,M1,0.07793942144072605,???,1.191151446398185,gas,0.065432
+R12_EEU,2035,gas_i,VOC_Emission,R12_EEU,2035,M1,0.05792331253545094,???,1.191151446398185,gas,0.048628
+R12_EEU,2035,loil_i,BCA_Emission,R12_EEU,2035,M1,0.05479242424242424,???,1.2666345999679334,lightoil,0.04325827215189873
+R12_EEU,2035,loil_i,CO_Emission,R12_EEU,2035,M1,4.034122655122655,???,1.2666345999679334,lightoil,3.184914303797468
+R12_EEU,2035,loil_i,NH3_Emission,R12_EEU,2035,M1,0.008420586820586821,???,1.2666345999679334,lightoil,0.006648
+R12_EEU,2035,loil_i,NOx_Emission,R12_EEU,2035,M1,4.364240339907006,???,1.2666345999679334,lightoil,3.445540126582278
+R12_EEU,2035,loil_i,OCA_Emission,R12_EEU,2035,M1,0.024444805194805193,???,1.2666345999679334,lightoil,0.01929901898734177
+R12_EEU,2035,loil_i,SO2_Emission,R12_EEU,2035,M1,0.8595389770723103,???,1.2666345999679334,lightoil,0.6786005822784809
+R12_EEU,2035,loil_i,VOC_Emission,R12_EEU,2035,M1,2.0396176046176047,???,1.2666345999679334,lightoil,1.6102651898734177
+R12_EEU,2040,biomass_i,BCA_Emission,R12_EEU,2040,M1,0.02606944444444444,???,1.3888888888888888,biomass,0.01877
+R12_EEU,2040,biomass_i,CH4_Emission,R12_EEU,2040,M1,1.1111111111111112,???,1.3888888888888888,biomass,0.8
+R12_EEU,2040,biomass_i,CO_Emission,R12_EEU,2040,M1,0.19749583333333331,???,1.3888888888888888,biomass,0.142197
+R12_EEU,2040,biomass_i,N2O_Emission,R12_EEU,2040,M1,0.1388888888888889,???,1.3888888888888888,biomass,0.1
+R12_EEU,2040,biomass_i,NH3_Emission,R12_EEU,2040,M1,0.14807638888888888,???,1.3888888888888888,biomass,0.106615
+R12_EEU,2040,biomass_i,NOx_Emission,R12_EEU,2040,M1,4.222666666666666,???,1.3888888888888888,biomass,3.04032
+R12_EEU,2040,biomass_i,OCA_Emission,R12_EEU,2040,M1,0.013738888888888887,???,1.3888888888888888,biomass,0.009892
+R12_EEU,2040,biomass_i,SO2_Emission,R12_EEU,2040,M1,1.8166805555555554,???,1.3888888888888888,biomass,1.30801
+R12_EEU,2040,biomass_i,VOC_Emission,R12_EEU,2040,M1,1.8314861111111111,???,1.3888888888888888,biomass,1.31867
+R12_EEU,2040,coal_i,BCA_Emission,R12_EEU,2040,M1,0.0012828947368421053,???,1.3157894736842106,coal,0.000975
+R12_EEU,2040,coal_i,CH4_Emission,R12_EEU,2040,M1,0.3552631578947369,???,1.3157894736842106,coal,0.27
+R12_EEU,2040,coal_i,CO_Emission,R12_EEU,2040,M1,1.910828947368421,???,1.3157894736842106,coal,1.45223
+R12_EEU,2040,coal_i,N2O_Emission,R12_EEU,2040,M1,0.04868421052631579,???,1.3157894736842106,coal,0.037
+R12_EEU,2040,coal_i,NH3_Emission,R12_EEU,2040,M1,0.00036184210526315797,???,1.3157894736842106,coal,0.000275
+R12_EEU,2040,coal_i,NOx_Emission,R12_EEU,2040,M1,2.137947368421053,???,1.3157894736842106,coal,1.62484
+R12_EEU,2040,coal_i,OCA_Emission,R12_EEU,2040,M1,0.0024657894736842107,???,1.3157894736842106,coal,0.001874
+R12_EEU,2040,coal_i,SO2_Emission,R12_EEU,2040,M1,9.742315789473684,???,1.3157894736842106,coal,7.404159999999999
+R12_EEU,2040,coal_i,VOC_Emission,R12_EEU,2040,M1,0.4444802631578948,???,1.3157894736842106,coal,0.337805
+R12_EEU,2040,eth_i,BCA_Emission,R12_EEU,2040,M1,0.049055421686746994,???,1.2048192771084338,ethanol,0.040716
+R12_EEU,2040,eth_i,CO_Emission,R12_EEU,2040,M1,3.819469879518073,???,1.2048192771084338,ethanol,3.17016
+R12_EEU,2040,eth_i,NH3_Emission,R12_EEU,2040,M1,0.008009638554216868,???,1.2048192771084338,ethanol,0.006648
+R12_EEU,2040,eth_i,NOx_Emission,R12_EEU,2040,M1,3.8872650602409644,???,1.2048192771084338,ethanol,3.22643
+R12_EEU,2040,eth_i,OCA_Emission,R12_EEU,2040,M1,0.021860240963855426,???,1.2048192771084338,ethanol,0.018144
+R12_EEU,2040,eth_i,VOC_Emission,R12_EEU,2040,M1,1.803686746987952,???,1.2048192771084338,ethanol,1.49706
+R12_EEU,2040,foil_i,BCA_Emission,R12_EEU,2040,M1,0.05026666666666667,???,1.2345679012345678,fueloil,0.040716
+R12_EEU,2040,foil_i,CH4_Emission,R12_EEU,2040,M1,0.6666666666666666,???,1.2345679012345678,fueloil,0.54
+R12_EEU,2040,foil_i,CO_Emission,R12_EEU,2040,M1,3.913777777777778,???,1.2345679012345678,fueloil,3.17016
+R12_EEU,2040,foil_i,N2O_Emission,R12_EEU,2040,M1,0.014814814814814814,???,1.2345679012345678,fueloil,0.012
+R12_EEU,2040,foil_i,NH3_Emission,R12_EEU,2040,M1,0.008207407407407408,???,1.2345679012345678,fueloil,0.006648000000000001
+R12_EEU,2040,foil_i,NOx_Emission,R12_EEU,2040,M1,3.983246913580247,???,1.2345679012345678,fueloil,3.22643
+R12_EEU,2040,foil_i,OCA_Emission,R12_EEU,2040,M1,0.0224,???,1.2345679012345678,fueloil,0.018144
+R12_EEU,2040,foil_i,SO2_Emission,R12_EEU,2040,M1,0.7847493827160493,???,1.2345679012345678,fueloil,0.635647
+R12_EEU,2040,foil_i,VOC_Emission,R12_EEU,2040,M1,1.8482222222222222,???,1.2345679012345678,fueloil,1.49706
+R12_EEU,2040,gas_i,BCA_Emission,R12_EEU,2040,M1,0.00018837209302325584,???,1.1627906976744187,gas,0.000162
+R12_EEU,2040,gas_i,CH4_Emission,R12_EEU,2040,M1,0.15116279069767444,???,1.1627906976744187,gas,0.13
+R12_EEU,2040,gas_i,CO_Emission,R12_EEU,2040,M1,0.6206918604651164,???,1.1627906976744187,gas,0.533795
+R12_EEU,2040,gas_i,N2O_Emission,R12_EEU,2040,M1,0.013953488372093025,???,1.1627906976744187,gas,0.012
+R12_EEU,2040,gas_i,NH3_Emission,R12_EEU,2040,M1,0.004213953488372093,???,1.1627906976744187,gas,0.003624
+R12_EEU,2040,gas_i,NOx_Emission,R12_EEU,2040,M1,1.3686511627906979,???,1.1627906976744187,gas,1.17704
+R12_EEU,2040,gas_i,OCA_Emission,R12_EEU,2040,M1,0.0021058139534883722,???,1.1627906976744187,gas,0.0018110000000000001
+R12_EEU,2040,gas_i,SO2_Emission,R12_EEU,2040,M1,0.07608372093023257,???,1.1627906976744187,gas,0.065432
+R12_EEU,2040,gas_i,VOC_Emission,R12_EEU,2040,M1,0.05654418604651163,???,1.1627906976744187,gas,0.048628
+R12_EEU,2040,loil_i,BCA_Emission,R12_EEU,2040,M1,0.05026666666666667,???,1.2345679012345678,lightoil,0.040716
+R12_EEU,2040,loil_i,CO_Emission,R12_EEU,2040,M1,3.913777777777778,???,1.2345679012345678,lightoil,3.17016
+R12_EEU,2040,loil_i,NH3_Emission,R12_EEU,2040,M1,0.008207407407407408,???,1.2345679012345678,lightoil,0.006648000000000001
+R12_EEU,2040,loil_i,NOx_Emission,R12_EEU,2040,M1,3.983246913580247,???,1.2345679012345678,lightoil,3.22643
+R12_EEU,2040,loil_i,OCA_Emission,R12_EEU,2040,M1,0.0224,???,1.2345679012345678,lightoil,0.018144
+R12_EEU,2040,loil_i,SO2_Emission,R12_EEU,2040,M1,0.7847493827160493,???,1.2345679012345678,lightoil,0.635647
+R12_EEU,2040,loil_i,VOC_Emission,R12_EEU,2040,M1,1.8482222222222222,???,1.2345679012345678,lightoil,1.49706
+R12_EEU,2045,biomass_i,BCA_Emission,R12_EEU,2045,M1,0.02290272222222222,???,1.3611111111111112,biomass,0.016826489795918366
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+R12_EEU,2045,biomass_i,CO_Emission,R12_EEU,2045,M1,0.19354591666666665,???,1.3611111111111112,biomass,0.142197
+R12_EEU,2045,biomass_i,N2O_Emission,R12_EEU,2045,M1,0.13611111111111113,???,1.3611111111111112,biomass,0.1
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+R12_EEU,2045,coal_i,BCA_Emission,R12_EEU,2045,M1,0.0011220723684210528,???,1.2828947368421053,coal,0.0008746410256410258
+R12_EEU,2045,coal_i,CH4_Emission,R12_EEU,2045,M1,0.34638157894736843,???,1.2828947368421053,coal,0.27
+R12_EEU,2045,coal_i,CO_Emission,R12_EEU,2045,M1,1.8624082236842106,???,1.2828947368421053,coal,1.4517233333333333
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+R12_EEU,2045,coal_i,NH3_Emission,R12_EEU,2045,M1,0.000352796052631579,???,1.2828947368421053,coal,0.000275
+R12_EEU,2045,coal_i,NOx_Emission,R12_EEU,2045,M1,1.9846049342105263,???,1.2828947368421053,coal,1.5469741025641024
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+R12_EEU,2045,eth_i,BCA_Emission,R12_EEU,2045,M1,0.045561240255138205,???,1.190644932671864,ethanol,0.038266017857142856
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+R12_EEU,2045,eth_i,NOx_Emission,R12_EEU,2045,M1,3.5901148830616587,???,1.190644932671864,ethanol,3.0152691071428572
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+R12_EEU,2045,loil_i,CO_Emission,R12_EEU,2045,M1,3.804759477124183,???,1.205519244734931,lightoil,3.156116746987952
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+R12_EEU,2045,loil_i,NOx_Emission,R12_EEU,2045,M1,3.6381058097313,???,1.205519244734931,lightoil,3.0178745180722895
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+R12_EEU,2050,biomass_i,BCA_Emission,R12_EEU,2050,M1,0.019735999999999997,???,1.3333333333333333,biomass,0.014801999999999997
+R12_EEU,2050,biomass_i,CH4_Emission,R12_EEU,2050,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
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+R12_EEU,2050,biomass_i,N2O_Emission,R12_EEU,2050,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_EEU,2050,biomass_i,NH3_Emission,R12_EEU,2050,M1,0.13452399999999998,???,1.3333333333333333,biomass,0.10089299999999998
+R12_EEU,2050,biomass_i,NOx_Emission,R12_EEU,2050,M1,3.69164,???,1.3333333333333333,biomass,2.76873
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+R12_EEU,2050,coal_i,NH3_Emission,R12_EEU,2050,M1,0.00034375000000000003,???,1.25,coal,0.000275
+R12_EEU,2050,coal_i,NOx_Emission,R12_EEU,2050,M1,1.8312624999999998,???,1.25,coal,1.46501
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+R12_EEU,2050,eth_i,NOx_Emission,R12_EEU,2050,M1,3.292964705882353,???,1.1764705882352942,ethanol,2.79902
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+R12_EEU,2050,eth_i,VOC_Emission,R12_EEU,2050,M1,1.501458823529412,???,1.1764705882352942,ethanol,1.27624
+R12_EEU,2050,foil_i,BCA_Emission,R12_EEU,2050,M1,0.04206705882352941,???,1.1764705882352942,fueloil,0.035757
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+R12_EEU,2050,foil_i,N2O_Emission,R12_EEU,2050,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
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+R12_FSU,2020,coal_i,NH3_Emission,R12_FSU,2020,M1,0.0004414285714285714,???,1.4285714285714286,coal,0.000309
+R12_FSU,2020,coal_i,NOx_Emission,R12_FSU,2020,M1,5.141442857142857,???,1.4285714285714286,coal,3.59901
+R12_FSU,2020,coal_i,OCA_Emission,R12_FSU,2020,M1,0.0022985714285714285,???,1.4285714285714286,coal,0.001609
+R12_FSU,2020,coal_i,SO2_Emission,R12_FSU,2020,M1,21.41614285714286,???,1.4285714285714286,coal,14.9913
+R12_FSU,2020,coal_i,VOC_Emission,R12_FSU,2020,M1,0.43318,???,1.4285714285714286,coal,0.303226
+R12_FSU,2020,eth_i,BCA_Emission,R12_FSU,2020,M1,0.900212658227848,???,1.2658227848101264,ethanol,0.711168
+R12_FSU,2020,eth_i,CO_Emission,R12_FSU,2020,M1,6.998898734177215,???,1.2658227848101264,ethanol,5.52913
+R12_FSU,2020,eth_i,NH3_Emission,R12_FSU,2020,M1,0.008394936708860759,???,1.2658227848101264,ethanol,0.006632
+R12_FSU,2020,eth_i,NOx_Emission,R12_FSU,2020,M1,20.15164556962025,???,1.2658227848101264,ethanol,15.919799999999999
+R12_FSU,2020,eth_i,OCA_Emission,R12_FSU,2020,M1,0.4084911392405063,???,1.2658227848101264,ethanol,0.322708
+R12_FSU,2020,eth_i,VOC_Emission,R12_FSU,2020,M1,3.165822784810126,???,1.2658227848101264,ethanol,2.501
+R12_FSU,2020,foil_i,BCA_Emission,R12_FSU,2020,M1,0.9742027397260273,???,1.36986301369863,fueloil,0.711168
+R12_FSU,2020,foil_i,CH4_Emission,R12_FSU,2020,M1,0.7397260273972602,???,1.36986301369863,fueloil,0.54
+R12_FSU,2020,foil_i,CO_Emission,R12_FSU,2020,M1,7.574150684931507,???,1.36986301369863,fueloil,5.52913
+R12_FSU,2020,foil_i,N2O_Emission,R12_FSU,2020,M1,0.01643835616438356,???,1.36986301369863,fueloil,0.012
+R12_FSU,2020,foil_i,NH3_Emission,R12_FSU,2020,M1,0.009084931506849315,???,1.36986301369863,fueloil,0.006632000000000001
+R12_FSU,2020,foil_i,NOx_Emission,R12_FSU,2020,M1,21.807945205479452,???,1.36986301369863,fueloil,15.9198
+R12_FSU,2020,foil_i,OCA_Emission,R12_FSU,2020,M1,0.4420657534246575,???,1.36986301369863,fueloil,0.322708
+R12_FSU,2020,foil_i,SO2_Emission,R12_FSU,2020,M1,8.39331506849315,???,1.36986301369863,fueloil,6.12712
+R12_FSU,2020,foil_i,VOC_Emission,R12_FSU,2020,M1,3.4260273972602735,???,1.36986301369863,fueloil,2.501
+R12_FSU,2020,gas_i,BCA_Emission,R12_FSU,2020,M1,0.00022307692307692306,???,1.282051282051282,gas,0.000174
+R12_FSU,2020,gas_i,CH4_Emission,R12_FSU,2020,M1,0.16666666666666666,???,1.282051282051282,gas,0.13
+R12_FSU,2020,gas_i,CO_Emission,R12_FSU,2020,M1,1.0233820512820513,???,1.282051282051282,gas,0.7982380000000001
+R12_FSU,2020,gas_i,N2O_Emission,R12_FSU,2020,M1,0.015384615384615384,???,1.282051282051282,gas,0.012
+R12_FSU,2020,gas_i,NH3_Emission,R12_FSU,2020,M1,0.0049499999999999995,???,1.282051282051282,gas,0.003861
+R12_FSU,2020,gas_i,NOx_Emission,R12_FSU,2020,M1,2.480435897435897,???,1.282051282051282,gas,1.93474
+R12_FSU,2020,gas_i,OCA_Emission,R12_FSU,2020,M1,0.002491025641025641,???,1.282051282051282,gas,0.001943
+R12_FSU,2020,gas_i,SO2_Emission,R12_FSU,2020,M1,0.08388717948717948,???,1.282051282051282,gas,0.065432
+R12_FSU,2020,gas_i,VOC_Emission,R12_FSU,2020,M1,0.06642435897435897,???,1.282051282051282,gas,0.051811
+R12_FSU,2020,loil_i,BCA_Emission,R12_FSU,2020,M1,0.9742027397260273,???,1.36986301369863,lightoil,0.711168
+R12_FSU,2020,loil_i,CO_Emission,R12_FSU,2020,M1,7.574150684931507,???,1.36986301369863,lightoil,5.52913
+R12_FSU,2020,loil_i,NH3_Emission,R12_FSU,2020,M1,0.009084931506849315,???,1.36986301369863,lightoil,0.006632000000000001
+R12_FSU,2020,loil_i,NOx_Emission,R12_FSU,2020,M1,21.807945205479452,???,1.36986301369863,lightoil,15.9198
+R12_FSU,2020,loil_i,OCA_Emission,R12_FSU,2020,M1,0.4420657534246575,???,1.36986301369863,lightoil,0.322708
+R12_FSU,2020,loil_i,SO2_Emission,R12_FSU,2020,M1,8.39331506849315,???,1.36986301369863,lightoil,6.12712
+R12_FSU,2020,loil_i,VOC_Emission,R12_FSU,2020,M1,3.4260273972602735,???,1.36986301369863,lightoil,2.501
+R12_FSU,2025,biomass_i,BCA_Emission,R12_FSU,2025,M1,0.13635476627883242,???,1.4288630332720964,biomass,0.09542885714285713
+R12_FSU,2025,biomass_i,CH4_Emission,R12_FSU,2025,M1,1.1430904266176771,???,1.4288630332720964,biomass,0.8
+R12_FSU,2025,biomass_i,CO_Emission,R12_FSU,2025,M1,2.5539354970402126,???,1.4288630332720964,biomass,1.7873900000000003
+R12_FSU,2025,biomass_i,N2O_Emission,R12_FSU,2025,M1,0.14288630332720964,???,1.4288630332720964,biomass,0.1
+R12_FSU,2025,biomass_i,NH3_Emission,R12_FSU,2025,M1,0.12033598693610942,???,1.4288630332720964,biomass,0.084218
+R12_FSU,2025,biomass_i,NOx_Emission,R12_FSU,2025,M1,5.8578812002449485,???,1.4288630332720964,biomass,4.09968
+R12_FSU,2025,biomass_i,OCA_Emission,R12_FSU,2025,M1,0.14521624821392123,???,1.4288630332720964,biomass,0.10163062857142859
+R12_FSU,2025,biomass_i,SO2_Emission,R12_FSU,2025,M1,19.129332516840172,???,1.4288630332720964,biomass,13.3878
+R12_FSU,2025,biomass_i,VOC_Emission,R12_FSU,2025,M1,1.2710179628495613,???,1.4288630332720964,biomass,0.8895310000000001
+R12_FSU,2025,coal_i,BCA_Emission,R12_FSU,2025,M1,0.003289484126984127,???,1.4087301587301586,coal,0.0023350704225352115
+R12_FSU,2025,coal_i,CH4_Emission,R12_FSU,2025,M1,0.38035714285714284,???,1.4087301587301586,coal,0.27
+R12_FSU,2025,coal_i,CO_Emission,R12_FSU,2025,M1,2.5649876984126987,???,1.4087301587301586,coal,1.8207800000000003
+R12_FSU,2025,coal_i,N2O_Emission,R12_FSU,2025,M1,0.05212301587301587,???,1.4087301587301586,coal,0.037
+R12_FSU,2025,coal_i,NH3_Emission,R12_FSU,2025,M1,0.000435297619047619,???,1.4087301587301586,coal,0.000309
+R12_FSU,2025,coal_i,NOx_Emission,R12_FSU,2025,M1,5.039846428571428,???,1.4087301587301586,coal,3.5775811267605633
+R12_FSU,2025,coal_i,OCA_Emission,R12_FSU,2025,M1,0.0022478968253968256,???,1.4087301587301586,coal,0.0015956901408450707
+R12_FSU,2025,coal_i,SO2_Emission,R12_FSU,2025,M1,21.092099206349207,???,1.4087301587301586,coal,14.972419718309862
+R12_FSU,2025,coal_i,VOC_Emission,R12_FSU,2025,M1,0.4271636111111111,???,1.4087301587301586,coal,0.30322600000000005
+R12_FSU,2025,eth_i,BCA_Emission,R12_FSU,2025,M1,0.8890989217065166,???,1.2501953430223471,ethanol,0.711168
+R12_FSU,2025,eth_i,CO_Emission,R12_FSU,2025,M1,6.912492576965151,???,1.2501953430223471,ethanol,5.52913
+R12_FSU,2025,eth_i,NH3_Emission,R12_FSU,2025,M1,0.008291295514924206,???,1.2501953430223471,ethanol,0.006632
+R12_FSU,2025,eth_i,NOx_Emission,R12_FSU,2025,M1,19.902859821847162,???,1.2501953430223471,ethanol,15.9198
+R12_FSU,2025,eth_i,OCA_Emission,R12_FSU,2025,M1,0.4034480387560556,???,1.2501953430223471,ethanol,0.322708
+R12_FSU,2025,eth_i,VOC_Emission,R12_FSU,2025,M1,3.12673855289889,???,1.2501953430223471,ethanol,2.501
+R12_FSU,2025,foil_i,BCA_Emission,R12_FSU,2025,M1,0.9488987724604163,???,1.3342821561999645,fueloil,0.711168
+R12_FSU,2025,foil_i,CH4_Emission,R12_FSU,2025,M1,0.7205123643479807,???,1.3342821561999645,fueloil,0.5399999999999999
+R12_FSU,2025,foil_i,CO_Emission,R12_FSU,2025,M1,7.3774194983099095,???,1.3342821561999645,fueloil,5.52913
+R12_FSU,2025,foil_i,N2O_Emission,R12_FSU,2025,M1,0.016011385874399573,???,1.3342821561999645,fueloil,0.012
+R12_FSU,2025,foil_i,NH3_Emission,R12_FSU,2025,M1,0.008848959259918163,???,1.3342821561999645,fueloil,0.006631999999999999
+R12_FSU,2025,foil_i,NOx_Emission,R12_FSU,2025,M1,21.241505070272193,???,1.3342821561999645,fueloil,15.919799999999999
+R12_FSU,2025,foil_i,OCA_Emission,R12_FSU,2025,M1,0.4305835260629781,???,1.3342821561999645,fueloil,0.322708
+R12_FSU,2025,foil_i,SO2_Emission,R12_FSU,2025,M1,8.174254936843978,???,1.3342821561999645,fueloil,6.126331599999999
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+R12_FSU,2025,gas_i,BCA_Emission,R12_FSU,2025,M1,0.00021763602251407128,???,1.2507817385866167,gas,0.00017399999999999997
+R12_FSU,2025,gas_i,CH4_Emission,R12_FSU,2025,M1,0.16260162601626016,???,1.2507817385866167,gas,0.13
+R12_FSU,2025,gas_i,CO_Emission,R12_FSU,2025,M1,0.9984215134459037,???,1.2507817385866167,gas,0.798238
+R12_FSU,2025,gas_i,N2O_Emission,R12_FSU,2025,M1,0.0150093808630394,???,1.2507817385866167,gas,0.012
+R12_FSU,2025,gas_i,NH3_Emission,R12_FSU,2025,M1,0.004819512195121951,???,1.2507817385866167,gas,0.0038531999999999998
+R12_FSU,2025,gas_i,NOx_Emission,R12_FSU,2025,M1,2.4159496560350213,???,1.2507817385866167,gas,1.9315517499999995
+R12_FSU,2025,gas_i,OCA_Emission,R12_FSU,2025,M1,0.002430268918073796,???,1.2507817385866167,gas,0.0019429999999999998
+R12_FSU,2025,gas_i,SO2_Emission,R12_FSU,2025,M1,0.0818411507191995,???,1.2507817385866167,gas,0.065432
+R12_FSU,2025,gas_i,VOC_Emission,R12_FSU,2025,M1,0.0648042526579112,???,1.2507817385866167,gas,0.051811
+R12_FSU,2025,loil_i,BCA_Emission,R12_FSU,2025,M1,0.9488987724604163,???,1.3342821561999645,lightoil,0.711168
+R12_FSU,2025,loil_i,CO_Emission,R12_FSU,2025,M1,7.3774194983099095,???,1.3342821561999645,lightoil,5.52913
+R12_FSU,2025,loil_i,NH3_Emission,R12_FSU,2025,M1,0.008848959259918163,???,1.3342821561999645,lightoil,0.006631999999999999
+R12_FSU,2025,loil_i,NOx_Emission,R12_FSU,2025,M1,21.241505070272193,???,1.3342821561999645,lightoil,15.919799999999999
+R12_FSU,2025,loil_i,OCA_Emission,R12_FSU,2025,M1,0.4305835260629781,???,1.3342821561999645,lightoil,0.322708
+R12_FSU,2025,loil_i,SO2_Emission,R12_FSU,2025,M1,8.174254936843978,???,1.3342821561999645,lightoil,6.126331599999999
+R12_FSU,2025,loil_i,VOC_Emission,R12_FSU,2025,M1,3.3370396726561107,???,1.3342821561999645,lightoil,2.5009999999999994
+R12_FSU,2030,biomass_i,BCA_Emission,R12_FSU,2030,M1,0.08842112676056339,???,1.4084507042253522,biomass,0.062779
+R12_FSU,2030,biomass_i,CH4_Emission,R12_FSU,2030,M1,1.1267605633802817,???,1.4084507042253522,biomass,0.7999999999999999
+R12_FSU,2030,biomass_i,CO_Emission,R12_FSU,2030,M1,2.5174507042253524,???,1.4084507042253522,biomass,1.78739
+R12_FSU,2030,biomass_i,N2O_Emission,R12_FSU,2030,M1,0.14084507042253522,???,1.4084507042253522,biomass,0.09999999999999999
+R12_FSU,2030,biomass_i,NH3_Emission,R12_FSU,2030,M1,0.11861690140845071,???,1.4084507042253522,biomass,0.084218
+R12_FSU,2030,biomass_i,NOx_Emission,R12_FSU,2030,M1,5.774197183098592,???,1.4084507042253522,biomass,4.09968
+R12_FSU,2030,biomass_i,OCA_Emission,R12_FSU,2030,M1,0.08717887323943663,???,1.4084507042253522,biomass,0.061897
+R12_FSU,2030,biomass_i,SO2_Emission,R12_FSU,2030,M1,18.85605633802817,???,1.4084507042253522,biomass,13.3878
+R12_FSU,2030,biomass_i,VOC_Emission,R12_FSU,2030,M1,1.2528605633802818,???,1.4084507042253522,biomass,0.8895310000000001
+R12_FSU,2030,coal_i,BCA_Emission,R12_FSU,2030,M1,0.003186111111111111,???,1.3888888888888888,coal,0.002294
+R12_FSU,2030,coal_i,CH4_Emission,R12_FSU,2030,M1,0.375,???,1.3888888888888888,coal,0.27
+R12_FSU,2030,coal_i,CO_Emission,R12_FSU,2030,M1,2.528861111111111,???,1.3888888888888888,coal,1.82078
+R12_FSU,2030,coal_i,N2O_Emission,R12_FSU,2030,M1,0.05138888888888889,???,1.3888888888888888,coal,0.037
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+R12_FSU,2030,coal_i,NOx_Emission,R12_FSU,2030,M1,4.93825,???,1.3888888888888888,coal,3.55554
+R12_FSU,2030,coal_i,OCA_Emission,R12_FSU,2030,M1,0.0021972222222222224,???,1.3888888888888888,coal,0.001582
+R12_FSU,2030,coal_i,SO2_Emission,R12_FSU,2030,M1,20.768055555555556,???,1.3888888888888888,coal,14.953000000000001
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+R12_FSU,2030,eth_i,BCA_Emission,R12_FSU,2030,M1,0.8779851851851852,???,1.2345679012345678,ethanol,0.711168
+R12_FSU,2030,eth_i,CO_Emission,R12_FSU,2030,M1,6.826086419753087,???,1.2345679012345678,ethanol,5.52913
+R12_FSU,2030,eth_i,NH3_Emission,R12_FSU,2030,M1,0.008187654320987654,???,1.2345679012345678,ethanol,0.006632
+R12_FSU,2030,eth_i,NOx_Emission,R12_FSU,2030,M1,19.654074074074074,???,1.2345679012345678,ethanol,15.9198
+R12_FSU,2030,eth_i,OCA_Emission,R12_FSU,2030,M1,0.3984049382716049,???,1.2345679012345678,ethanol,0.322708
+R12_FSU,2030,eth_i,VOC_Emission,R12_FSU,2030,M1,3.087654320987654,???,1.2345679012345678,ethanol,2.501
+R12_FSU,2030,foil_i,BCA_Emission,R12_FSU,2030,M1,0.9235948051948052,???,1.2987012987012987,fueloil,0.711168
+R12_FSU,2030,foil_i,CH4_Emission,R12_FSU,2030,M1,0.7012987012987013,???,1.2987012987012987,fueloil,0.54
+R12_FSU,2030,foil_i,CO_Emission,R12_FSU,2030,M1,7.1806883116883125,???,1.2987012987012987,fueloil,5.52913
+R12_FSU,2030,foil_i,N2O_Emission,R12_FSU,2030,M1,0.015584415584415584,???,1.2987012987012987,fueloil,0.012
+R12_FSU,2030,foil_i,NH3_Emission,R12_FSU,2030,M1,0.008612987012987013,???,1.2987012987012987,fueloil,0.006632
+R12_FSU,2030,foil_i,NOx_Emission,R12_FSU,2030,M1,20.675064935064935,???,1.2987012987012987,fueloil,15.9198
+R12_FSU,2030,foil_i,OCA_Emission,R12_FSU,2030,M1,0.4191012987012987,???,1.2987012987012987,fueloil,0.322708
+R12_FSU,2030,foil_i,SO2_Emission,R12_FSU,2030,M1,7.955194805194805,???,1.2987012987012987,fueloil,6.1255
+R12_FSU,2030,foil_i,VOC_Emission,R12_FSU,2030,M1,3.248051948051948,???,1.2987012987012987,fueloil,2.501
+R12_FSU,2030,gas_i,BCA_Emission,R12_FSU,2030,M1,0.0002121951219512195,???,1.2195121951219512,gas,0.000174
+R12_FSU,2030,gas_i,CH4_Emission,R12_FSU,2030,M1,0.15853658536585366,???,1.2195121951219512,gas,0.13
+R12_FSU,2030,gas_i,CO_Emission,R12_FSU,2030,M1,0.9734609756097561,???,1.2195121951219512,gas,0.798238
+R12_FSU,2030,gas_i,N2O_Emission,R12_FSU,2030,M1,0.014634146341463414,???,1.2195121951219512,gas,0.012
+R12_FSU,2030,gas_i,NH3_Emission,R12_FSU,2030,M1,0.004689024390243902,???,1.2195121951219512,gas,0.003845
+R12_FSU,2030,gas_i,NOx_Emission,R12_FSU,2030,M1,2.351463414634146,???,1.2195121951219512,gas,1.9281999999999997
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+R12_FSU,2030,gas_i,VOC_Emission,R12_FSU,2030,M1,0.06318414634146342,???,1.2195121951219512,gas,0.05181100000000001
+R12_FSU,2030,loil_i,BCA_Emission,R12_FSU,2030,M1,0.9235948051948052,???,1.2987012987012987,lightoil,0.711168
+R12_FSU,2030,loil_i,CO_Emission,R12_FSU,2030,M1,7.1806883116883125,???,1.2987012987012987,lightoil,5.52913
+R12_FSU,2030,loil_i,NH3_Emission,R12_FSU,2030,M1,0.008612987012987013,???,1.2987012987012987,lightoil,0.006632
+R12_FSU,2030,loil_i,NOx_Emission,R12_FSU,2030,M1,20.675064935064935,???,1.2987012987012987,lightoil,15.9198
+R12_FSU,2030,loil_i,OCA_Emission,R12_FSU,2030,M1,0.4191012987012987,???,1.2987012987012987,lightoil,0.322708
+R12_FSU,2030,loil_i,SO2_Emission,R12_FSU,2030,M1,7.955194805194805,???,1.2987012987012987,lightoil,6.1255
+R12_FSU,2030,loil_i,VOC_Emission,R12_FSU,2030,M1,3.248051948051948,???,1.2987012987012987,lightoil,2.501
+R12_FSU,2035,biomass_i,BCA_Emission,R12_FSU,2035,M1,0.07969207022959676,???,1.3891568589619911,biomass,0.05736722222222222
+R12_FSU,2035,biomass_i,CH4_Emission,R12_FSU,2035,M1,1.111325487169593,???,1.3891568589619911,biomass,0.8
+R12_FSU,2035,biomass_i,CO_Emission,R12_FSU,2035,M1,2.482965078140073,???,1.3891568589619911,biomass,1.7873899999999998
+R12_FSU,2035,biomass_i,N2O_Emission,R12_FSU,2035,M1,0.13891568589619913,???,1.3891568589619911,biomass,0.1
+R12_FSU,2035,biomass_i,NH3_Emission,R12_FSU,2035,M1,0.115264615087787,???,1.3891568589619911,biomass,0.08297451388888889
+R12_FSU,2035,biomass_i,NOx_Emission,R12_FSU,2035,M1,5.37422187922053,???,1.3891568589619911,biomass,3.8686933333333338
+R12_FSU,2035,biomass_i,OCA_Emission,R12_FSU,2035,M1,0.07857436812656762,???,1.3891568589619911,biomass,0.05656263194444444
+R12_FSU,2035,biomass_i,SO2_Emission,R12_FSU,2035,M1,17.3756994018908,???,1.3891568589619911,biomass,12.508090277777779
+R12_FSU,2035,biomass_i,VOC_Emission,R12_FSU,2035,M1,1.2356980899093188,???,1.3891568589619911,biomass,0.889531
+R12_FSU,2035,coal_i,BCA_Emission,R12_FSU,2035,M1,0.002839108187134503,???,1.3523391812865497,coal,0.0020994054054054054
+R12_FSU,2035,coal_i,CH4_Emission,R12_FSU,2035,M1,0.3651315789473685,???,1.3523391812865497,coal,0.27
+R12_FSU,2035,coal_i,CO_Emission,R12_FSU,2035,M1,2.462312134502924,???,1.3523391812865497,coal,1.82078
+R12_FSU,2035,coal_i,N2O_Emission,R12_FSU,2035,M1,0.05003654970760234,???,1.3523391812865497,coal,0.037
+R12_FSU,2035,coal_i,NH3_Emission,R12_FSU,2035,M1,0.0004165570175438596,???,1.3523391812865497,coal,0.000308027027027027
+R12_FSU,2035,coal_i,NOx_Emission,R12_FSU,2035,M1,4.5280000000000005,???,1.3523391812865497,coal,3.3482724324324327
+R12_FSU,2035,coal_i,OCA_Emission,R12_FSU,2035,M1,0.0019584795321637427,???,1.3523391812865497,coal,0.0014482162162162162
+R12_FSU,2035,coal_i,SO2_Emission,R12_FSU,2035,M1,18.826922514619884,???,1.3523391812865497,coal,13.921745945945947
+R12_FSU,2035,coal_i,VOC_Emission,R12_FSU,2035,M1,0.4100644005847953,???,1.3523391812865497,coal,0.303226
+R12_FSU,2035,eth_i,BCA_Emission,R12_FSU,2035,M1,0.7941582552431949,???,1.2196935891715008,ethanol,0.6511129207317072
+R12_FSU,2035,eth_i,CO_Emission,R12_FSU,2035,M1,6.42488658337052,???,1.2196935891715008,ethanol,5.267623475609756
+R12_FSU,2035,eth_i,NH3_Emission,R12_FSU,2035,M1,0.008016116317120334,???,1.2196935891715008,ethanol,0.0065722378048780495
+R12_FSU,2035,eth_i,NOx_Emission,R12_FSU,2035,M1,17.86269968763945,???,1.2196935891715008,ethanol,14.64523536585366
+R12_FSU,2035,eth_i,OCA_Emission,R12_FSU,2035,M1,0.36031451732857356,???,1.2196935891715008,ethanol,0.29541396341463416
+R12_FSU,2035,eth_i,VOC_Emission,R12_FSU,2035,M1,2.8214235460359958,???,1.2196935891715008,ethanol,2.313223231707317
+R12_FSU,2035,foil_i,BCA_Emission,R12_FSU,2035,M1,0.8257325877825877,???,1.2666345999679334,fueloil,0.6519106518987341
+R12_FSU,2035,foil_i,CH4_Emission,R12_FSU,2035,M1,0.6839826839826839,???,1.2666345999679334,fueloil,0.5399999999999999
+R12_FSU,2035,foil_i,CO_Emission,R12_FSU,2035,M1,6.676554032387366,???,1.2666345999679334,fueloil,5.271097151898734
+R12_FSU,2035,foil_i,N2O_Emission,R12_FSU,2035,M1,0.015199615199615199,???,1.2666345999679334,fueloil,0.011999999999999999
+R12_FSU,2035,foil_i,NH3_Emission,R12_FSU,2035,M1,0.008325629308962641,???,1.2666345999679334,fueloil,0.0065730316455696195
+R12_FSU,2035,foil_i,NOx_Emission,R12_FSU,2035,M1,18.571606541606542,???,1.2666345999679334,fueloil,14.662165822784809
+R12_FSU,2035,foil_i,OCA_Emission,R12_FSU,2035,M1,0.37464077280743946,???,1.2666345999679334,fueloil,0.29577651898734175
+R12_FSU,2035,foil_i,SO2_Emission,R12_FSU,2035,M1,7.1338813532146865,???,1.2666345999679334,fueloil,5.63215417721519
+R12_FSU,2035,foil_i,VOC_Emission,R12_FSU,2035,M1,2.933167949334616,???,1.2666345999679334,fueloil,2.3157175316455696
+R12_FSU,2035,gas_i,BCA_Emission,R12_FSU,2035,M1,0.00020726035167328418,???,1.191151446398185,gas,0.000174
+R12_FSU,2035,gas_i,CH4_Emission,R12_FSU,2035,M1,0.15484968803176405,???,1.191151446398185,gas,0.13
+R12_FSU,2035,gas_i,CO_Emission,R12_FSU,2035,M1,0.9460194412932501,???,1.191151446398185,gas,0.7942058452380952
+R12_FSU,2035,gas_i,N2O_Emission,R12_FSU,2035,M1,0.014293817356778218,???,1.191151446398185,gas,0.011999999999999999
+R12_FSU,2035,gas_i,NH3_Emission,R12_FSU,2035,M1,0.004454395916052184,???,1.191151446398185,gas,0.0037395714285714285
+R12_FSU,2035,gas_i,NOx_Emission,R12_FSU,2035,M1,2.1407549631310268,???,1.191151446398185,gas,1.797214761904762
+R12_FSU,2035,gas_i,OCA_Emission,R12_FSU,2035,M1,0.0023144072603516735,???,1.191151446398185,gas,0.001943
+R12_FSU,2035,gas_i,SO2_Emission,R12_FSU,2035,M1,0.07793942144072605,???,1.191151446398185,gas,0.065432
+R12_FSU,2035,gas_i,VOC_Emission,R12_FSU,2035,M1,0.061714747589336365,???,1.191151446398185,gas,0.051811
+R12_FSU,2035,loil_i,BCA_Emission,R12_FSU,2035,M1,0.8257325877825877,???,1.2666345999679334,lightoil,0.6519106518987341
+R12_FSU,2035,loil_i,CO_Emission,R12_FSU,2035,M1,6.676554032387366,???,1.2666345999679334,lightoil,5.271097151898734
+R12_FSU,2035,loil_i,NH3_Emission,R12_FSU,2035,M1,0.008325629308962641,???,1.2666345999679334,lightoil,0.0065730316455696195
+R12_FSU,2035,loil_i,NOx_Emission,R12_FSU,2035,M1,18.571606541606542,???,1.2666345999679334,lightoil,14.662165822784809
+R12_FSU,2035,loil_i,OCA_Emission,R12_FSU,2035,M1,0.37464077280743946,???,1.2666345999679334,lightoil,0.29577651898734175
+R12_FSU,2035,loil_i,SO2_Emission,R12_FSU,2035,M1,7.1338813532146865,???,1.2666345999679334,lightoil,5.63215417721519
+R12_FSU,2035,loil_i,VOC_Emission,R12_FSU,2035,M1,2.933167949334616,???,1.2666345999679334,lightoil,2.3157175316455696
+R12_FSU,2040,biomass_i,BCA_Emission,R12_FSU,2040,M1,0.07096301369863013,???,1.36986301369863,biomass,0.051803
+R12_FSU,2040,biomass_i,CH4_Emission,R12_FSU,2040,M1,1.095890410958904,???,1.36986301369863,biomass,0.8
+R12_FSU,2040,biomass_i,CO_Emission,R12_FSU,2040,M1,2.4484794520547943,???,1.36986301369863,biomass,1.78739
+R12_FSU,2040,biomass_i,N2O_Emission,R12_FSU,2040,M1,0.136986301369863,???,1.36986301369863,biomass,0.1
+R12_FSU,2040,biomass_i,NH3_Emission,R12_FSU,2040,M1,0.11191232876712329,???,1.36986301369863,biomass,0.081696
+R12_FSU,2040,biomass_i,NOx_Emission,R12_FSU,2040,M1,4.974246575342466,???,1.36986301369863,biomass,3.6312
+R12_FSU,2040,biomass_i,OCA_Emission,R12_FSU,2040,M1,0.06996986301369862,???,1.36986301369863,biomass,0.05107799999999999
+R12_FSU,2040,biomass_i,SO2_Emission,R12_FSU,2040,M1,15.895342465753425,???,1.36986301369863,biomass,11.6036
+R12_FSU,2040,biomass_i,VOC_Emission,R12_FSU,2040,M1,1.218535616438356,???,1.36986301369863,biomass,0.889531
+R12_FSU,2040,coal_i,BCA_Emission,R12_FSU,2040,M1,0.002492105263157895,???,1.3157894736842106,coal,0.001894
+R12_FSU,2040,coal_i,CH4_Emission,R12_FSU,2040,M1,0.3552631578947369,???,1.3157894736842106,coal,0.27
+R12_FSU,2040,coal_i,CO_Emission,R12_FSU,2040,M1,2.395763157894737,???,1.3157894736842106,coal,1.8207799999999998
+R12_FSU,2040,coal_i,N2O_Emission,R12_FSU,2040,M1,0.04868421052631579,???,1.3157894736842106,coal,0.037
+R12_FSU,2040,coal_i,NH3_Emission,R12_FSU,2040,M1,0.00040394736842105266,???,1.3157894736842106,coal,0.000307
+R12_FSU,2040,coal_i,NOx_Emission,R12_FSU,2040,M1,4.11775,???,1.3157894736842106,coal,3.1294899999999997
+R12_FSU,2040,coal_i,OCA_Emission,R12_FSU,2040,M1,0.0017197368421052633,???,1.3157894736842106,coal,0.001307
+R12_FSU,2040,coal_i,SO2_Emission,R12_FSU,2040,M1,16.885789473684213,???,1.3157894736842106,coal,12.833200000000001
+R12_FSU,2040,coal_i,VOC_Emission,R12_FSU,2040,M1,0.39898157894736846,???,1.3157894736842106,coal,0.303226
+R12_FSU,2040,eth_i,BCA_Emission,R12_FSU,2040,M1,0.7103313253012048,???,1.2048192771084338,ethanol,0.589575
+R12_FSU,2040,eth_i,CO_Emission,R12_FSU,2040,M1,6.023686746987953,???,1.2048192771084338,ethanol,4.99966
+R12_FSU,2040,eth_i,NH3_Emission,R12_FSU,2040,M1,0.007844578313253013,???,1.2048192771084338,ethanol,0.006511
+R12_FSU,2040,eth_i,NOx_Emission,R12_FSU,2040,M1,16.07132530120482,???,1.2048192771084338,ethanol,13.339199999999998
+R12_FSU,2040,eth_i,OCA_Emission,R12_FSU,2040,M1,0.3222240963855422,???,1.2048192771084338,ethanol,0.267446
+R12_FSU,2040,eth_i,VOC_Emission,R12_FSU,2040,M1,2.5551927710843376,???,1.2048192771084338,ethanol,2.12081
+R12_FSU,2040,foil_i,BCA_Emission,R12_FSU,2040,M1,0.7278703703703703,???,1.2345679012345678,fueloil,0.589575
+R12_FSU,2040,foil_i,CH4_Emission,R12_FSU,2040,M1,0.6666666666666666,???,1.2345679012345678,fueloil,0.54
+R12_FSU,2040,foil_i,CO_Emission,R12_FSU,2040,M1,6.1724197530864195,???,1.2345679012345678,fueloil,4.99966
+R12_FSU,2040,foil_i,N2O_Emission,R12_FSU,2040,M1,0.014814814814814814,???,1.2345679012345678,fueloil,0.012
+R12_FSU,2040,foil_i,NH3_Emission,R12_FSU,2040,M1,0.008038271604938271,???,1.2345679012345678,fueloil,0.006510999999999999
+R12_FSU,2040,foil_i,NOx_Emission,R12_FSU,2040,M1,16.468148148148146,???,1.2345679012345678,fueloil,13.339199999999998
+R12_FSU,2040,foil_i,OCA_Emission,R12_FSU,2040,M1,0.3301802469135802,???,1.2345679012345678,fueloil,0.267446
+R12_FSU,2040,foil_i,SO2_Emission,R12_FSU,2040,M1,6.3125679012345675,???,1.2345679012345678,fueloil,5.11318
+R12_FSU,2040,foil_i,VOC_Emission,R12_FSU,2040,M1,2.618283950617284,???,1.2345679012345678,fueloil,2.12081
+R12_FSU,2040,gas_i,BCA_Emission,R12_FSU,2040,M1,0.00020232558139534885,???,1.1627906976744187,gas,0.000174
+R12_FSU,2040,gas_i,CH4_Emission,R12_FSU,2040,M1,0.15116279069767444,???,1.1627906976744187,gas,0.13
+R12_FSU,2040,gas_i,CO_Emission,R12_FSU,2040,M1,0.9185779069767442,???,1.1627906976744187,gas,0.789977
+R12_FSU,2040,gas_i,N2O_Emission,R12_FSU,2040,M1,0.013953488372093025,???,1.1627906976744187,gas,0.012
+R12_FSU,2040,gas_i,NH3_Emission,R12_FSU,2040,M1,0.004219767441860465,???,1.1627906976744187,gas,0.003629
+R12_FSU,2040,gas_i,NOx_Emission,R12_FSU,2040,M1,1.930046511627907,???,1.1627906976744187,gas,1.65984
+R12_FSU,2040,gas_i,OCA_Emission,R12_FSU,2040,M1,0.0022593023255813955,???,1.1627906976744187,gas,0.001943
+R12_FSU,2040,gas_i,SO2_Emission,R12_FSU,2040,M1,0.07608372093023257,???,1.1627906976744187,gas,0.065432
+R12_FSU,2040,gas_i,VOC_Emission,R12_FSU,2040,M1,0.060245348837209306,???,1.1627906976744187,gas,0.051811
+R12_FSU,2040,loil_i,BCA_Emission,R12_FSU,2040,M1,0.7278703703703703,???,1.2345679012345678,lightoil,0.589575
+R12_FSU,2040,loil_i,CO_Emission,R12_FSU,2040,M1,6.1724197530864195,???,1.2345679012345678,lightoil,4.99966
+R12_FSU,2040,loil_i,NH3_Emission,R12_FSU,2040,M1,0.008038271604938271,???,1.2345679012345678,lightoil,0.006510999999999999
+R12_FSU,2040,loil_i,NOx_Emission,R12_FSU,2040,M1,16.468148148148146,???,1.2345679012345678,lightoil,13.339199999999998
+R12_FSU,2040,loil_i,OCA_Emission,R12_FSU,2040,M1,0.3301802469135802,???,1.2345679012345678,lightoil,0.267446
+R12_FSU,2040,loil_i,SO2_Emission,R12_FSU,2040,M1,6.3125679012345675,???,1.2345679012345678,lightoil,5.11318
+R12_FSU,2040,loil_i,VOC_Emission,R12_FSU,2040,M1,2.618283950617284,???,1.2345679012345678,lightoil,2.12081
+R12_FSU,2045,biomass_i,BCA_Emission,R12_FSU,2045,M1,0.06270017351598173,???,1.3515981735159817,biomass,0.046389655405405406
+R12_FSU,2045,biomass_i,CH4_Emission,R12_FSU,2045,M1,1.0812785388127852,???,1.3515981735159817,biomass,0.7999999999999999
+R12_FSU,2045,biomass_i,CO_Emission,R12_FSU,2045,M1,2.4158330593607307,???,1.3515981735159817,biomass,1.7873900000000003
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+R12_FSU,2045,biomass_i,NOx_Emission,R12_FSU,2045,M1,4.595609954337899,???,1.3515981735159817,biomass,3.4001303378378376
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+R12_FSU,2045,biomass_i,SO2_Emission,R12_FSU,2045,M1,14.493904566210045,???,1.3515981735159817,biomass,10.723530743243243
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+R12_FSU,2045,coal_i,BCA_Emission,R12_FSU,2045,M1,0.002179177631578947,???,1.2828947368421053,coal,0.0016986410256410254
+R12_FSU,2045,coal_i,CH4_Emission,R12_FSU,2045,M1,0.34638157894736843,???,1.2828947368421053,coal,0.27
+R12_FSU,2045,coal_i,CO_Emission,R12_FSU,2045,M1,2.3358690789473684,???,1.2828947368421053,coal,1.8207799999999998
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+R12_FSU,2045,eth_i,NH3_Emission,R12_FSU,2045,M1,0.007681112686038272,???,1.190644932671864,ethanol,0.0064512202380952385
+R12_FSU,2045,eth_i,NOx_Emission,R12_FSU,2045,M1,14.364250885896528,???,1.190644932671864,ethanol,12.064260714285714
+R12_FSU,2045,eth_i,OCA_Emission,R12_FSU,2045,M1,0.28592557760453585,???,1.190644932671864,ethanol,0.24014344642857147
+R12_FSU,2045,eth_i,VOC_Emission,R12_FSU,2045,M1,2.3014905031892274,???,1.190644932671864,ethanol,1.9329780357142856
+R12_FSU,2045,foil_i,BCA_Emission,R12_FSU,2045,M1,0.6392187145969499,???,1.205519244734931,fueloil,0.5302434759036144
+R12_FSU,2045,foil_i,CH4_Emission,R12_FSU,2045,M1,0.6509803921568628,???,1.205519244734931,fueloil,0.54
+R12_FSU,2045,foil_i,CO_Emission,R12_FSU,2045,M1,5.715733405954975,???,1.205519244734931,fueloil,4.741304156626506
+R12_FSU,2045,foil_i,N2O_Emission,R12_FSU,2045,M1,0.014466230936819171,???,1.205519244734931,fueloil,0.011999999999999999
+R12_FSU,2045,foil_i,NH3_Emission,R12_FSU,2045,M1,0.0077779593318809005,???,1.205519244734931,fueloil,0.0064519578313253015
+R12_FSU,2045,foil_i,NOx_Emission,R12_FSU,2045,M1,14.56266230936819,???,1.205519244734931,fueloil,12.079991566265058
+R12_FSU,2045,foil_i,OCA_Emission,R12_FSU,2045,M1,0.2899036528685548,???,1.205519244734931,fueloil,0.24048031927710842
+R12_FSU,2045,foil_i,SO2_Emission,R12_FSU,2045,M1,5.5685545388525775,???,1.205519244734931,fueloil,4.619216626506024
+R12_FSU,2045,foil_i,VOC_Emission,R12_FSU,2045,M1,2.333036092955701,???,1.205519244734931,fueloil,1.9352956024096386
+R12_FSU,2045,gas_i,BCA_Emission,R12_FSU,2045,M1,0.0001978294573643411,???,1.1369509043927648,gas,0.00017400000000000003
+R12_FSU,2045,gas_i,CH4_Emission,R12_FSU,2045,M1,0.14780361757105945,???,1.1369509043927648,gas,0.13000000000000003
+R12_FSU,2045,gas_i,CO_Emission,R12_FSU,2045,M1,0.8935750645994833,???,1.1369509043927648,gas,0.7859398863636365
+R12_FSU,2045,gas_i,N2O_Emission,R12_FSU,2045,M1,0.01364341085271318,???,1.1369509043927648,gas,0.012000000000000002
+R12_FSU,2045,gas_i,NH3_Emission,R12_FSU,2045,M1,0.004005439276485789,???,1.1369509043927648,gas,0.0035229659090909096
+R12_FSU,2045,gas_i,NOx_Emission,R12_FSU,2045,M1,1.738067700258398,???,1.1369509043927648,gas,1.5287095454545456
+R12_FSU,2045,gas_i,OCA_Emission,R12_FSU,2045,M1,0.0022090956072351423,???,1.1369509043927648,gas,0.0019430000000000003
+R12_FSU,2045,gas_i,SO2_Emission,R12_FSU,2045,M1,0.0743929715762274,???,1.1369509043927648,gas,0.06543200000000002
+R12_FSU,2045,gas_i,VOC_Emission,R12_FSU,2045,M1,0.05890656330749354,???,1.1369509043927648,gas,0.051811
+R12_FSU,2045,loil_i,BCA_Emission,R12_FSU,2045,M1,0.6392187145969499,???,1.205519244734931,lightoil,0.5302434759036144
+R12_FSU,2045,loil_i,CO_Emission,R12_FSU,2045,M1,5.715733405954975,???,1.205519244734931,lightoil,4.741304156626506
+R12_FSU,2045,loil_i,NH3_Emission,R12_FSU,2045,M1,0.0077779593318809005,???,1.205519244734931,lightoil,0.0064519578313253015
+R12_FSU,2045,loil_i,NOx_Emission,R12_FSU,2045,M1,14.56266230936819,???,1.205519244734931,lightoil,12.079991566265058
+R12_FSU,2045,loil_i,OCA_Emission,R12_FSU,2045,M1,0.2899036528685548,???,1.205519244734931,lightoil,0.24048031927710842
+R12_FSU,2045,loil_i,SO2_Emission,R12_FSU,2045,M1,5.5685545388525775,???,1.205519244734931,lightoil,4.619216626506024
+R12_FSU,2045,loil_i,VOC_Emission,R12_FSU,2045,M1,2.333036092955701,???,1.205519244734931,lightoil,1.9352956024096386
+R12_FSU,2050,biomass_i,BCA_Emission,R12_FSU,2050,M1,0.05443733333333334,???,1.3333333333333333,biomass,0.040828
+R12_FSU,2050,biomass_i,CH4_Emission,R12_FSU,2050,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2050,biomass_i,CO_Emission,R12_FSU,2050,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2050,biomass_i,N2O_Emission,R12_FSU,2050,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2050,biomass_i,NH3_Emission,R12_FSU,2050,M1,0.10556533333333332,???,1.3333333333333333,biomass,0.079174
+R12_FSU,2050,biomass_i,NOx_Emission,R12_FSU,2050,M1,4.216973333333333,???,1.3333333333333333,biomass,3.16273
+R12_FSU,2050,biomass_i,OCA_Emission,R12_FSU,2050,M1,0.053678666666666666,???,1.3333333333333333,biomass,0.040259
+R12_FSU,2050,biomass_i,SO2_Emission,R12_FSU,2050,M1,13.092466666666667,???,1.3333333333333333,biomass,9.81935
+R12_FSU,2050,biomass_i,VOC_Emission,R12_FSU,2050,M1,1.1860413333333333,???,1.3333333333333333,biomass,0.889531
+R12_FSU,2050,coal_i,BCA_Emission,R12_FSU,2050,M1,0.0018662499999999999,???,1.25,coal,0.001493
+R12_FSU,2050,coal_i,CH4_Emission,R12_FSU,2050,M1,0.3375,???,1.25,coal,0.27
+R12_FSU,2050,coal_i,CO_Emission,R12_FSU,2050,M1,2.275975,???,1.25,coal,1.8207799999999998
+R12_FSU,2050,coal_i,N2O_Emission,R12_FSU,2050,M1,0.04625,???,1.25,coal,0.037
+R12_FSU,2050,coal_i,NH3_Emission,R12_FSU,2050,M1,0.00038124999999999997,???,1.25,coal,0.000305
+R12_FSU,2050,coal_i,NOx_Emission,R12_FSU,2050,M1,3.3793,???,1.25,coal,2.70344
+R12_FSU,2050,coal_i,OCA_Emission,R12_FSU,2050,M1,0.00128875,???,1.25,coal,0.001031
+R12_FSU,2050,coal_i,SO2_Emission,R12_FSU,2050,M1,13.391625000000001,???,1.25,coal,10.7133
+R12_FSU,2050,coal_i,VOC_Emission,R12_FSU,2050,M1,0.3790325,???,1.25,coal,0.303226
+R12_FSU,2050,eth_i,BCA_Emission,R12_FSU,2050,M1,0.5505670588235294,???,1.1764705882352942,ethanol,0.467982
+R12_FSU,2050,eth_i,CO_Emission,R12_FSU,2050,M1,5.259047058823529,???,1.1764705882352942,ethanol,4.47019
+R12_FSU,2050,eth_i,NH3_Emission,R12_FSU,2050,M1,0.007517647058823529,???,1.1764705882352942,ethanol,0.00639
+R12_FSU,2050,eth_i,NOx_Emission,R12_FSU,2050,M1,12.657176470588235,???,1.1764705882352942,ethanol,10.7586
+R12_FSU,2050,eth_i,OCA_Emission,R12_FSU,2050,M1,0.24962705882352942,???,1.1764705882352942,ethanol,0.212183
+R12_FSU,2050,eth_i,VOC_Emission,R12_FSU,2050,M1,2.0477882352941177,???,1.1764705882352942,ethanol,1.74062
+R12_FSU,2050,foil_i,BCA_Emission,R12_FSU,2050,M1,0.5505670588235294,???,1.1764705882352942,fueloil,0.467982
+R12_FSU,2050,foil_i,CH4_Emission,R12_FSU,2050,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_FSU,2050,foil_i,CO_Emission,R12_FSU,2050,M1,5.259047058823529,???,1.1764705882352942,fueloil,4.47019
+R12_FSU,2050,foil_i,N2O_Emission,R12_FSU,2050,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_FSU,2050,foil_i,NH3_Emission,R12_FSU,2050,M1,0.007517647058823529,???,1.1764705882352942,fueloil,0.00639
+R12_FSU,2050,foil_i,NOx_Emission,R12_FSU,2050,M1,12.657176470588235,???,1.1764705882352942,fueloil,10.7586
+R12_FSU,2050,foil_i,OCA_Emission,R12_FSU,2050,M1,0.24962705882352942,???,1.1764705882352942,fueloil,0.212183
+R12_FSU,2050,foil_i,SO2_Emission,R12_FSU,2050,M1,4.824541176470588,???,1.1764705882352942,fueloil,4.10086
+R12_FSU,2050,foil_i,VOC_Emission,R12_FSU,2050,M1,2.0477882352941177,???,1.1764705882352942,fueloil,1.74062
+R12_FSU,2050,gas_i,BCA_Emission,R12_FSU,2050,M1,0.00019333333333333333,???,1.1111111111111112,gas,0.000174
+R12_FSU,2050,gas_i,CH4_Emission,R12_FSU,2050,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_FSU,2050,gas_i,CO_Emission,R12_FSU,2050,M1,0.8685722222222223,???,1.1111111111111112,gas,0.781715
+R12_FSU,2050,gas_i,N2O_Emission,R12_FSU,2050,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_FSU,2050,gas_i,NH3_Emission,R12_FSU,2050,M1,0.0037911111111111114,???,1.1111111111111112,gas,0.003412
+R12_FSU,2050,gas_i,NOx_Emission,R12_FSU,2050,M1,1.546088888888889,???,1.1111111111111112,gas,1.39148
+R12_FSU,2050,gas_i,OCA_Emission,R12_FSU,2050,M1,0.002158888888888889,???,1.1111111111111112,gas,0.001943
+R12_FSU,2050,gas_i,SO2_Emission,R12_FSU,2050,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_FSU,2050,gas_i,VOC_Emission,R12_FSU,2050,M1,0.05756777777777778,???,1.1111111111111112,gas,0.051811
+R12_FSU,2050,loil_i,BCA_Emission,R12_FSU,2050,M1,0.5505670588235294,???,1.1764705882352942,lightoil,0.467982
+R12_FSU,2050,loil_i,CO_Emission,R12_FSU,2050,M1,5.259047058823529,???,1.1764705882352942,lightoil,4.47019
+R12_FSU,2050,loil_i,NH3_Emission,R12_FSU,2050,M1,0.007517647058823529,???,1.1764705882352942,lightoil,0.00639
+R12_FSU,2050,loil_i,NOx_Emission,R12_FSU,2050,M1,12.657176470588235,???,1.1764705882352942,lightoil,10.7586
+R12_FSU,2050,loil_i,OCA_Emission,R12_FSU,2050,M1,0.24962705882352942,???,1.1764705882352942,lightoil,0.212183
+R12_FSU,2050,loil_i,SO2_Emission,R12_FSU,2050,M1,4.824541176470588,???,1.1764705882352942,lightoil,4.10086
+R12_FSU,2050,loil_i,VOC_Emission,R12_FSU,2050,M1,2.0477882352941177,???,1.1764705882352942,lightoil,1.74062
+R12_FSU,2055,biomass_i,BCA_Emission,R12_FSU,2055,M1,0.050256,???,1.3333333333333333,biomass,0.037692
+R12_FSU,2055,biomass_i,CH4_Emission,R12_FSU,2055,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2055,biomass_i,CO_Emission,R12_FSU,2055,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2055,biomass_i,N2O_Emission,R12_FSU,2055,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2055,biomass_i,NH3_Emission,R12_FSU,2055,M1,0.10411399999999998,???,1.3333333333333333,biomass,0.07808549999999999
+R12_FSU,2055,biomass_i,NOx_Emission,R12_FSU,2055,M1,4.0385,???,1.3333333333333333,biomass,3.028875
+R12_FSU,2055,biomass_i,OCA_Emission,R12_FSU,2055,M1,0.049557333333333335,???,1.3333333333333333,biomass,0.03716800000000001
+R12_FSU,2055,biomass_i,SO2_Emission,R12_FSU,2055,M1,12.412753333333333,???,1.3333333333333333,biomass,9.309565000000001
+R12_FSU,2055,biomass_i,VOC_Emission,R12_FSU,2055,M1,1.1860413333333333,???,1.3333333333333333,biomass,0.889531
+R12_FSU,2055,coal_i,BCA_Emission,R12_FSU,2055,M1,0.0017231249999999998,???,1.25,coal,0.0013785
+R12_FSU,2055,coal_i,CH4_Emission,R12_FSU,2055,M1,0.3375,???,1.25,coal,0.27
+R12_FSU,2055,coal_i,CO_Emission,R12_FSU,2055,M1,2.275975,???,1.25,coal,1.8207799999999998
+R12_FSU,2055,coal_i,N2O_Emission,R12_FSU,2055,M1,0.04625,???,1.25,coal,0.037
+R12_FSU,2055,coal_i,NH3_Emission,R12_FSU,2055,M1,0.000380625,???,1.25,coal,0.0003045
+R12_FSU,2055,coal_i,NOx_Emission,R12_FSU,2055,M1,3.2271437499999998,???,1.25,coal,2.581715
+R12_FSU,2055,coal_i,OCA_Emission,R12_FSU,2055,M1,0.0011906249999999998,???,1.25,coal,0.0009524999999999999
+R12_FSU,2055,coal_i,SO2_Emission,R12_FSU,2055,M1,12.63405625,???,1.25,coal,10.107245
+R12_FSU,2055,coal_i,VOC_Emission,R12_FSU,2055,M1,0.3790325,???,1.25,coal,0.303226
+R12_FSU,2055,eth_i,BCA_Emission,R12_FSU,2055,M1,0.509589411764706,???,1.1764705882352942,ethanol,0.43315100000000006
+R12_FSU,2055,eth_i,CO_Emission,R12_FSU,2055,M1,5.076370588235294,???,1.1764705882352942,ethanol,4.314915
+R12_FSU,2055,eth_i,NH3_Emission,R12_FSU,2055,M1,0.007474705882352941,???,1.1764705882352942,ethanol,0.006353499999999999
+R12_FSU,2055,eth_i,NOx_Emission,R12_FSU,2055,M1,11.787858823529412,???,1.1764705882352942,ethanol,10.01968
+R12_FSU,2055,eth_i,OCA_Emission,R12_FSU,2055,M1,0.23100294117647058,???,1.1764705882352942,ethanol,0.19635249999999999
+R12_FSU,2055,eth_i,VOC_Emission,R12_FSU,2055,M1,1.9197764705882352,???,1.1764705882352942,ethanol,1.6318099999999998
+R12_FSU,2055,foil_i,BCA_Emission,R12_FSU,2055,M1,0.509589411764706,???,1.1764705882352942,fueloil,0.43315100000000006
+R12_FSU,2055,foil_i,CH4_Emission,R12_FSU,2055,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_FSU,2055,foil_i,CO_Emission,R12_FSU,2055,M1,5.076370588235294,???,1.1764705882352942,fueloil,4.314915
+R12_FSU,2055,foil_i,N2O_Emission,R12_FSU,2055,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_FSU,2055,foil_i,NH3_Emission,R12_FSU,2055,M1,0.007474705882352941,???,1.1764705882352942,fueloil,0.006353499999999999
+R12_FSU,2055,foil_i,NOx_Emission,R12_FSU,2055,M1,11.787858823529412,???,1.1764705882352942,fueloil,10.01968
+R12_FSU,2055,foil_i,OCA_Emission,R12_FSU,2055,M1,0.23100294117647058,???,1.1764705882352942,fueloil,0.19635249999999999
+R12_FSU,2055,foil_i,SO2_Emission,R12_FSU,2055,M1,4.484264705882353,???,1.1764705882352942,fueloil,3.811625
+R12_FSU,2055,foil_i,VOC_Emission,R12_FSU,2055,M1,1.9197764705882352,???,1.1764705882352942,fueloil,1.6318099999999998
+R12_FSU,2055,gas_i,BCA_Emission,R12_FSU,2055,M1,0.00019333333333333333,???,1.1111111111111112,gas,0.000174
+R12_FSU,2055,gas_i,CH4_Emission,R12_FSU,2055,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_FSU,2055,gas_i,CO_Emission,R12_FSU,2055,M1,0.8656555555555556,???,1.1111111111111112,gas,0.7790900000000001
+R12_FSU,2055,gas_i,N2O_Emission,R12_FSU,2055,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_FSU,2055,gas_i,NH3_Emission,R12_FSU,2055,M1,0.0037222222222222223,???,1.1111111111111112,gas,0.0033499999999999997
+R12_FSU,2055,gas_i,NOx_Emission,R12_FSU,2055,M1,1.460866666666667,???,1.1111111111111112,gas,1.3147800000000003
+R12_FSU,2055,gas_i,OCA_Emission,R12_FSU,2055,M1,0.002158888888888889,???,1.1111111111111112,gas,0.001943
+R12_FSU,2055,gas_i,SO2_Emission,R12_FSU,2055,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_FSU,2055,gas_i,VOC_Emission,R12_FSU,2055,M1,0.05756777777777778,???,1.1111111111111112,gas,0.051811
+R12_FSU,2055,loil_i,BCA_Emission,R12_FSU,2055,M1,0.509589411764706,???,1.1764705882352942,lightoil,0.43315100000000006
+R12_FSU,2055,loil_i,CO_Emission,R12_FSU,2055,M1,5.076370588235294,???,1.1764705882352942,lightoil,4.314915
+R12_FSU,2055,loil_i,NH3_Emission,R12_FSU,2055,M1,0.007474705882352941,???,1.1764705882352942,lightoil,0.006353499999999999
+R12_FSU,2055,loil_i,NOx_Emission,R12_FSU,2055,M1,11.787858823529412,???,1.1764705882352942,lightoil,10.01968
+R12_FSU,2055,loil_i,OCA_Emission,R12_FSU,2055,M1,0.23100294117647058,???,1.1764705882352942,lightoil,0.19635249999999999
+R12_FSU,2055,loil_i,SO2_Emission,R12_FSU,2055,M1,4.484264705882353,???,1.1764705882352942,lightoil,3.811625
+R12_FSU,2055,loil_i,VOC_Emission,R12_FSU,2055,M1,1.9197764705882352,???,1.1764705882352942,lightoil,1.6318099999999998
+R12_FSU,2060,biomass_i,BCA_Emission,R12_FSU,2060,M1,0.04607466666666667,???,1.3333333333333333,biomass,0.034556
+R12_FSU,2060,biomass_i,CH4_Emission,R12_FSU,2060,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2060,biomass_i,CO_Emission,R12_FSU,2060,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2060,biomass_i,N2O_Emission,R12_FSU,2060,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2060,biomass_i,NH3_Emission,R12_FSU,2060,M1,0.10266266666666665,???,1.3333333333333333,biomass,0.076997
+R12_FSU,2060,biomass_i,NOx_Emission,R12_FSU,2060,M1,3.8600266666666667,???,1.3333333333333333,biomass,2.89502
+R12_FSU,2060,biomass_i,OCA_Emission,R12_FSU,2060,M1,0.045436000000000004,???,1.3333333333333333,biomass,0.034077
+R12_FSU,2060,biomass_i,SO2_Emission,R12_FSU,2060,M1,11.733039999999999,???,1.3333333333333333,biomass,8.79978
+R12_FSU,2060,biomass_i,VOC_Emission,R12_FSU,2060,M1,1.1860413333333333,???,1.3333333333333333,biomass,0.889531
+R12_FSU,2060,coal_i,BCA_Emission,R12_FSU,2060,M1,0.0015799999999999998,???,1.25,coal,0.001264
+R12_FSU,2060,coal_i,CH4_Emission,R12_FSU,2060,M1,0.3375,???,1.25,coal,0.27
+R12_FSU,2060,coal_i,CO_Emission,R12_FSU,2060,M1,2.275975,???,1.25,coal,1.8207799999999998
+R12_FSU,2060,coal_i,N2O_Emission,R12_FSU,2060,M1,0.04625,???,1.25,coal,0.037
+R12_FSU,2060,coal_i,NH3_Emission,R12_FSU,2060,M1,0.00038,???,1.25,coal,0.000304
+R12_FSU,2060,coal_i,NOx_Emission,R12_FSU,2060,M1,3.0749874999999998,???,1.25,coal,2.45999
+R12_FSU,2060,coal_i,OCA_Emission,R12_FSU,2060,M1,0.0010925,???,1.25,coal,0.000874
+R12_FSU,2060,coal_i,SO2_Emission,R12_FSU,2060,M1,11.8764875,???,1.25,coal,9.50119
+R12_FSU,2060,coal_i,VOC_Emission,R12_FSU,2060,M1,0.3790325,???,1.25,coal,0.303226
+R12_FSU,2060,eth_i,BCA_Emission,R12_FSU,2060,M1,0.4686117647058824,???,1.1764705882352942,ethanol,0.39832
+R12_FSU,2060,eth_i,CO_Emission,R12_FSU,2060,M1,4.893694117647058,???,1.1764705882352942,ethanol,4.15964
+R12_FSU,2060,eth_i,NH3_Emission,R12_FSU,2060,M1,0.007431764705882353,???,1.1764705882352942,ethanol,0.006317
+R12_FSU,2060,eth_i,NOx_Emission,R12_FSU,2060,M1,10.918541176470589,???,1.1764705882352942,ethanol,9.28076
+R12_FSU,2060,eth_i,OCA_Emission,R12_FSU,2060,M1,0.21237882352941176,???,1.1764705882352942,ethanol,0.180522
+R12_FSU,2060,eth_i,VOC_Emission,R12_FSU,2060,M1,1.791764705882353,???,1.1764705882352942,ethanol,1.523
+R12_FSU,2060,foil_i,BCA_Emission,R12_FSU,2060,M1,0.4686117647058824,???,1.1764705882352942,fueloil,0.39832
+R12_FSU,2060,foil_i,CH4_Emission,R12_FSU,2060,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_FSU,2060,foil_i,CO_Emission,R12_FSU,2060,M1,4.893694117647058,???,1.1764705882352942,fueloil,4.15964
+R12_FSU,2060,foil_i,N2O_Emission,R12_FSU,2060,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_FSU,2060,foil_i,NH3_Emission,R12_FSU,2060,M1,0.007431764705882353,???,1.1764705882352942,fueloil,0.006317
+R12_FSU,2060,foil_i,NOx_Emission,R12_FSU,2060,M1,10.918541176470589,???,1.1764705882352942,fueloil,9.28076
+R12_FSU,2060,foil_i,OCA_Emission,R12_FSU,2060,M1,0.21237882352941176,???,1.1764705882352942,fueloil,0.180522
+R12_FSU,2060,foil_i,SO2_Emission,R12_FSU,2060,M1,4.143988235294118,???,1.1764705882352942,fueloil,3.52239
+R12_FSU,2060,foil_i,VOC_Emission,R12_FSU,2060,M1,1.791764705882353,???,1.1764705882352942,fueloil,1.523
+R12_FSU,2060,gas_i,BCA_Emission,R12_FSU,2060,M1,0.00019333333333333333,???,1.1111111111111112,gas,0.000174
+R12_FSU,2060,gas_i,CH4_Emission,R12_FSU,2060,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_FSU,2060,gas_i,CO_Emission,R12_FSU,2060,M1,0.8627388888888888,???,1.1111111111111112,gas,0.776465
+R12_FSU,2060,gas_i,N2O_Emission,R12_FSU,2060,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_FSU,2060,gas_i,NH3_Emission,R12_FSU,2060,M1,0.0036533333333333335,???,1.1111111111111112,gas,0.003288
+R12_FSU,2060,gas_i,NOx_Emission,R12_FSU,2060,M1,1.3756444444444447,???,1.1111111111111112,gas,1.23808
+R12_FSU,2060,gas_i,OCA_Emission,R12_FSU,2060,M1,0.002158888888888889,???,1.1111111111111112,gas,0.001943
+R12_FSU,2060,gas_i,SO2_Emission,R12_FSU,2060,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_FSU,2060,gas_i,VOC_Emission,R12_FSU,2060,M1,0.05756777777777778,???,1.1111111111111112,gas,0.051811
+R12_FSU,2060,loil_i,BCA_Emission,R12_FSU,2060,M1,0.4686117647058824,???,1.1764705882352942,lightoil,0.39832
+R12_FSU,2060,loil_i,CO_Emission,R12_FSU,2060,M1,4.893694117647058,???,1.1764705882352942,lightoil,4.15964
+R12_FSU,2060,loil_i,NH3_Emission,R12_FSU,2060,M1,0.007431764705882353,???,1.1764705882352942,lightoil,0.006317
+R12_FSU,2060,loil_i,NOx_Emission,R12_FSU,2060,M1,10.918541176470589,???,1.1764705882352942,lightoil,9.28076
+R12_FSU,2060,loil_i,OCA_Emission,R12_FSU,2060,M1,0.21237882352941176,???,1.1764705882352942,lightoil,0.180522
+R12_FSU,2060,loil_i,SO2_Emission,R12_FSU,2060,M1,4.143988235294118,???,1.1764705882352942,lightoil,3.52239
+R12_FSU,2060,loil_i,VOC_Emission,R12_FSU,2060,M1,1.791764705882353,???,1.1764705882352942,lightoil,1.523
+R12_FSU,2070,biomass_i,BCA_Emission,R12_FSU,2070,M1,0.037711999999999996,???,1.3333333333333333,biomass,0.028283999999999997
+R12_FSU,2070,biomass_i,CH4_Emission,R12_FSU,2070,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2070,biomass_i,CO_Emission,R12_FSU,2070,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2070,biomass_i,N2O_Emission,R12_FSU,2070,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2070,biomass_i,NH3_Emission,R12_FSU,2070,M1,0.09975999999999999,???,1.3333333333333333,biomass,0.07482
+R12_FSU,2070,biomass_i,NOx_Emission,R12_FSU,2070,M1,3.503093333333333,???,1.3333333333333333,biomass,2.62732
+R12_FSU,2070,biomass_i,OCA_Emission,R12_FSU,2070,M1,0.03719333333333333,???,1.3333333333333333,biomass,0.027894999999999996
+R12_FSU,2070,biomass_i,SO2_Emission,R12_FSU,2070,M1,10.3736,???,1.3333333333333333,biomass,7.7802
+R12_FSU,2070,biomass_i,VOC_Emission,R12_FSU,2070,M1,1.1860413333333333,???,1.3333333333333333,biomass,0.889531
+R12_FSU,2070,coal_i,BCA_Emission,R12_FSU,2070,M1,0.0012950000000000001,???,1.25,coal,0.001036
+R12_FSU,2070,coal_i,CH4_Emission,R12_FSU,2070,M1,0.3375,???,1.25,coal,0.27
+R12_FSU,2070,coal_i,CO_Emission,R12_FSU,2070,M1,2.275975,???,1.25,coal,1.8207799999999998
+R12_FSU,2070,coal_i,N2O_Emission,R12_FSU,2070,M1,0.04625,???,1.25,coal,0.037
+R12_FSU,2070,coal_i,NH3_Emission,R12_FSU,2070,M1,0.00037874999999999996,???,1.25,coal,0.000303
+R12_FSU,2070,coal_i,NOx_Emission,R12_FSU,2070,M1,2.7706625000000003,???,1.25,coal,2.21653
+R12_FSU,2070,coal_i,OCA_Emission,R12_FSU,2070,M1,0.0008962499999999999,???,1.25,coal,0.000717
+R12_FSU,2070,coal_i,SO2_Emission,R12_FSU,2070,M1,10.3613125,???,1.25,coal,8.28905
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+R12_FSU,2070,eth_i,BCA_Emission,R12_FSU,2070,M1,0.3866564705882353,???,1.1764705882352942,ethanol,0.328658
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+R12_FSU,2070,eth_i,NH3_Emission,R12_FSU,2070,M1,0.007347058823529411,???,1.1764705882352942,ethanol,0.006245
+R12_FSU,2070,eth_i,NOx_Emission,R12_FSU,2070,M1,9.17984705882353,???,1.1764705882352942,ethanol,7.80287
+R12_FSU,2070,eth_i,OCA_Emission,R12_FSU,2070,M1,0.17512941176470587,???,1.1764705882352942,ethanol,0.14886
+R12_FSU,2070,eth_i,VOC_Emission,R12_FSU,2070,M1,1.5357294117647058,???,1.1764705882352942,ethanol,1.30537
+R12_FSU,2070,foil_i,BCA_Emission,R12_FSU,2070,M1,0.3866564705882353,???,1.1764705882352942,fueloil,0.328658
+R12_FSU,2070,foil_i,CH4_Emission,R12_FSU,2070,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_FSU,2070,foil_i,CO_Emission,R12_FSU,2070,M1,4.5283411764705885,???,1.1764705882352942,fueloil,3.8490900000000003
+R12_FSU,2070,foil_i,N2O_Emission,R12_FSU,2070,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_FSU,2070,foil_i,NH3_Emission,R12_FSU,2070,M1,0.007347058823529411,???,1.1764705882352942,fueloil,0.006245
+R12_FSU,2070,foil_i,NOx_Emission,R12_FSU,2070,M1,9.17984705882353,???,1.1764705882352942,fueloil,7.80287
+R12_FSU,2070,foil_i,OCA_Emission,R12_FSU,2070,M1,0.17512941176470587,???,1.1764705882352942,fueloil,0.14886
+R12_FSU,2070,foil_i,SO2_Emission,R12_FSU,2070,M1,3.4634470588235295,???,1.1764705882352942,fueloil,2.94393
+R12_FSU,2070,foil_i,VOC_Emission,R12_FSU,2070,M1,1.5357294117647058,???,1.1764705882352942,fueloil,1.30537
+R12_FSU,2070,gas_i,BCA_Emission,R12_FSU,2070,M1,0.00019333333333333333,???,1.1111111111111112,gas,0.000174
+R12_FSU,2070,gas_i,CH4_Emission,R12_FSU,2070,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_FSU,2070,gas_i,CO_Emission,R12_FSU,2070,M1,0.8569055555555556,???,1.1111111111111112,gas,0.771215
+R12_FSU,2070,gas_i,N2O_Emission,R12_FSU,2070,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_FSU,2070,gas_i,NH3_Emission,R12_FSU,2070,M1,0.003515555555555556,???,1.1111111111111112,gas,0.003164
+R12_FSU,2070,gas_i,NOx_Emission,R12_FSU,2070,M1,1.2052,???,1.1111111111111112,gas,1.08468
+R12_FSU,2070,gas_i,OCA_Emission,R12_FSU,2070,M1,0.002158888888888889,???,1.1111111111111112,gas,0.001943
+R12_FSU,2070,gas_i,SO2_Emission,R12_FSU,2070,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_FSU,2070,gas_i,VOC_Emission,R12_FSU,2070,M1,0.05756777777777778,???,1.1111111111111112,gas,0.051811
+R12_FSU,2070,loil_i,BCA_Emission,R12_FSU,2070,M1,0.3866564705882353,???,1.1764705882352942,lightoil,0.328658
+R12_FSU,2070,loil_i,CO_Emission,R12_FSU,2070,M1,4.5283411764705885,???,1.1764705882352942,lightoil,3.8490900000000003
+R12_FSU,2070,loil_i,NH3_Emission,R12_FSU,2070,M1,0.007347058823529411,???,1.1764705882352942,lightoil,0.006245
+R12_FSU,2070,loil_i,NOx_Emission,R12_FSU,2070,M1,9.17984705882353,???,1.1764705882352942,lightoil,7.80287
+R12_FSU,2070,loil_i,OCA_Emission,R12_FSU,2070,M1,0.17512941176470587,???,1.1764705882352942,lightoil,0.14886
+R12_FSU,2070,loil_i,SO2_Emission,R12_FSU,2070,M1,3.4634470588235295,???,1.1764705882352942,lightoil,2.94393
+R12_FSU,2070,loil_i,VOC_Emission,R12_FSU,2070,M1,1.5357294117647058,???,1.1764705882352942,lightoil,1.30537
+R12_FSU,2080,biomass_i,BCA_Emission,R12_FSU,2080,M1,0.029350666666666667,???,1.3333333333333333,biomass,0.022013
+R12_FSU,2080,biomass_i,CH4_Emission,R12_FSU,2080,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2080,biomass_i,CO_Emission,R12_FSU,2080,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2080,biomass_i,N2O_Emission,R12_FSU,2080,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2080,biomass_i,NH3_Emission,R12_FSU,2080,M1,0.096856,???,1.3333333333333333,biomass,0.072642
+R12_FSU,2080,biomass_i,NOx_Emission,R12_FSU,2080,M1,3.14616,???,1.3333333333333333,biomass,2.35962
+R12_FSU,2080,biomass_i,OCA_Emission,R12_FSU,2080,M1,0.02894933333333333,???,1.3333333333333333,biomass,0.021712
+R12_FSU,2080,biomass_i,SO2_Emission,R12_FSU,2080,M1,9.014173333333332,???,1.3333333333333333,biomass,6.760629999999999
+R12_FSU,2080,biomass_i,VOC_Emission,R12_FSU,2080,M1,1.1860413333333333,???,1.3333333333333333,biomass,0.889531
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+R12_FSU,2080,coal_i,CH4_Emission,R12_FSU,2080,M1,0.3375,???,1.25,coal,0.27
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+R12_FSU,2080,coal_i,N2O_Emission,R12_FSU,2080,M1,0.04625,???,1.25,coal,0.037
+R12_FSU,2080,coal_i,NH3_Emission,R12_FSU,2080,M1,0.00037625,???,1.25,coal,0.000301
+R12_FSU,2080,coal_i,NOx_Emission,R12_FSU,2080,M1,2.4663375000000003,???,1.25,coal,1.9730700000000003
+R12_FSU,2080,coal_i,OCA_Emission,R12_FSU,2080,M1,0.0006999999999999999,???,1.25,coal,0.00056
+R12_FSU,2080,coal_i,SO2_Emission,R12_FSU,2080,M1,8.8461375,???,1.25,coal,7.07691
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+R12_FSU,2080,foil_i,CH4_Emission,R12_FSU,2080,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_FSU,2080,foil_i,CO_Emission,R12_FSU,2080,M1,4.162988235294118,???,1.1764705882352942,fueloil,3.5385400000000002
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+R12_FSU,2080,foil_i,NH3_Emission,R12_FSU,2080,M1,0.007261176470588236,???,1.1764705882352942,fueloil,0.006172
+R12_FSU,2080,foil_i,NOx_Emission,R12_FSU,2080,M1,7.441152941176471,???,1.1764705882352942,fueloil,6.32498
+R12_FSU,2080,foil_i,OCA_Emission,R12_FSU,2080,M1,0.13788,???,1.1764705882352942,fueloil,0.117198
+R12_FSU,2080,foil_i,SO2_Emission,R12_FSU,2080,M1,2.782894117647059,???,1.1764705882352942,fueloil,2.36546
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+R12_FSU,2080,gas_i,CO_Emission,R12_FSU,2080,M1,0.8510722222222222,???,1.1111111111111112,gas,0.765965
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+R12_FSU,2080,gas_i,NH3_Emission,R12_FSU,2080,M1,0.003377777777777778,???,1.1111111111111112,gas,0.00304
+R12_FSU,2080,gas_i,NOx_Emission,R12_FSU,2080,M1,1.0347611111111112,???,1.1111111111111112,gas,0.931285
+R12_FSU,2080,gas_i,OCA_Emission,R12_FSU,2080,M1,0.002158888888888889,???,1.1111111111111112,gas,0.001943
+R12_FSU,2080,gas_i,SO2_Emission,R12_FSU,2080,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_FSU,2080,gas_i,VOC_Emission,R12_FSU,2080,M1,0.05756777777777778,???,1.1111111111111112,gas,0.051811
+R12_FSU,2080,loil_i,BCA_Emission,R12_FSU,2080,M1,0.30470117647058825,???,1.1764705882352942,lightoil,0.258996
+R12_FSU,2080,loil_i,CO_Emission,R12_FSU,2080,M1,4.162988235294118,???,1.1764705882352942,lightoil,3.5385400000000002
+R12_FSU,2080,loil_i,NH3_Emission,R12_FSU,2080,M1,0.007261176470588236,???,1.1764705882352942,lightoil,0.006172
+R12_FSU,2080,loil_i,NOx_Emission,R12_FSU,2080,M1,7.441152941176471,???,1.1764705882352942,lightoil,6.32498
+R12_FSU,2080,loil_i,OCA_Emission,R12_FSU,2080,M1,0.13788,???,1.1764705882352942,lightoil,0.117198
+R12_FSU,2080,loil_i,SO2_Emission,R12_FSU,2080,M1,2.782894117647059,???,1.1764705882352942,lightoil,2.36546
+R12_FSU,2080,loil_i,VOC_Emission,R12_FSU,2080,M1,1.2796941176470589,???,1.1764705882352942,lightoil,1.08774
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+R12_FSU,2090,biomass_i,CH4_Emission,R12_FSU,2090,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2090,biomass_i,CO_Emission,R12_FSU,2090,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2090,biomass_i,N2O_Emission,R12_FSU,2090,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2090,biomass_i,NH3_Emission,R12_FSU,2090,M1,0.09395333333333333,???,1.3333333333333333,biomass,0.070465
+R12_FSU,2090,biomass_i,NOx_Emission,R12_FSU,2090,M1,2.7892266666666665,???,1.3333333333333333,biomass,2.09192
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+R12_FSU,2090,biomass_i,SO2_Emission,R12_FSU,2090,M1,7.654746666666666,???,1.3333333333333333,biomass,5.74106
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+R12_FSU,2090,eth_i,NH3_Emission,R12_FSU,2090,M1,0.007175294117647059,???,1.1764705882352942,ethanol,0.006099
+R12_FSU,2090,eth_i,NOx_Emission,R12_FSU,2090,M1,5.702458823529412,???,1.1764705882352942,ethanol,4.84709
+R12_FSU,2090,eth_i,OCA_Emission,R12_FSU,2090,M1,0.10063176470588236,???,1.1764705882352942,ethanol,0.085537
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+R12_FSU,2090,foil_i,BCA_Emission,R12_FSU,2090,M1,0.22274588235294118,???,1.1764705882352942,fueloil,0.189334
+R12_FSU,2090,foil_i,CH4_Emission,R12_FSU,2090,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
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+R12_FSU,2090,foil_i,N2O_Emission,R12_FSU,2090,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_FSU,2090,foil_i,NH3_Emission,R12_FSU,2090,M1,0.007175294117647059,???,1.1764705882352942,fueloil,0.006099
+R12_FSU,2090,foil_i,NOx_Emission,R12_FSU,2090,M1,5.702458823529412,???,1.1764705882352942,fueloil,4.84709
+R12_FSU,2090,foil_i,OCA_Emission,R12_FSU,2090,M1,0.10063176470588236,???,1.1764705882352942,fueloil,0.085537
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+R12_FSU,2090,foil_i,VOC_Emission,R12_FSU,2090,M1,1.0236623529411766,???,1.1764705882352942,fueloil,0.870113
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+R12_FSU,2090,loil_i,BCA_Emission,R12_FSU,2090,M1,0.22274588235294118,???,1.1764705882352942,lightoil,0.189334
+R12_FSU,2090,loil_i,CO_Emission,R12_FSU,2090,M1,3.797635294117647,???,1.1764705882352942,lightoil,3.22799
+R12_FSU,2090,loil_i,NH3_Emission,R12_FSU,2090,M1,0.007175294117647059,???,1.1764705882352942,lightoil,0.006099
+R12_FSU,2090,loil_i,NOx_Emission,R12_FSU,2090,M1,5.702458823529412,???,1.1764705882352942,lightoil,4.84709
+R12_FSU,2090,loil_i,OCA_Emission,R12_FSU,2090,M1,0.10063176470588236,???,1.1764705882352942,lightoil,0.085537
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+R12_FSU,2090,loil_i,VOC_Emission,R12_FSU,2090,M1,1.0236623529411766,???,1.1764705882352942,lightoil,0.870113
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+R12_FSU,2100,biomass_i,CH4_Emission,R12_FSU,2100,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
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+R12_FSU,2100,eth_i,NOx_Emission,R12_FSU,2100,M1,3.9637647058823533,???,1.1764705882352942,ethanol,3.3692
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+R12_FSU,2100,foil_i,CO_Emission,R12_FSU,2100,M1,3.4322823529411766,???,1.1764705882352942,fueloil,2.91744
+R12_FSU,2100,foil_i,N2O_Emission,R12_FSU,2100,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_FSU,2100,foil_i,NH3_Emission,R12_FSU,2100,M1,0.007089411764705883,???,1.1764705882352942,fueloil,0.006026
+R12_FSU,2100,foil_i,NOx_Emission,R12_FSU,2100,M1,3.9637647058823533,???,1.1764705882352942,fueloil,3.3692
+R12_FSU,2100,foil_i,OCA_Emission,R12_FSU,2100,M1,0.06338235294117647,???,1.1764705882352942,fueloil,0.053875
+R12_FSU,2100,foil_i,SO2_Emission,R12_FSU,2100,M1,1.4217882352941178,???,1.1764705882352942,fueloil,1.20852
+R12_FSU,2100,foil_i,VOC_Emission,R12_FSU,2100,M1,0.7676294117647059,???,1.1764705882352942,fueloil,0.652485
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+R12_FSU,2100,gas_i,CH4_Emission,R12_FSU,2100,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
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+R12_FSU,2100,gas_i,N2O_Emission,R12_FSU,2100,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
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+R12_FSU,2100,gas_i,OCA_Emission,R12_FSU,2100,M1,0.002158888888888889,???,1.1111111111111112,gas,0.001943
+R12_FSU,2100,gas_i,SO2_Emission,R12_FSU,2100,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_FSU,2100,gas_i,VOC_Emission,R12_FSU,2100,M1,0.05756777777777778,???,1.1111111111111112,gas,0.051811
+R12_FSU,2100,loil_i,BCA_Emission,R12_FSU,2100,M1,0.1407905882352941,???,1.1764705882352942,lightoil,0.11967199999999999
+R12_FSU,2100,loil_i,CO_Emission,R12_FSU,2100,M1,3.4322823529411766,???,1.1764705882352942,lightoil,2.91744
+R12_FSU,2100,loil_i,NH3_Emission,R12_FSU,2100,M1,0.007089411764705883,???,1.1764705882352942,lightoil,0.006026
+R12_FSU,2100,loil_i,NOx_Emission,R12_FSU,2100,M1,3.9637647058823533,???,1.1764705882352942,lightoil,3.3692
+R12_FSU,2100,loil_i,OCA_Emission,R12_FSU,2100,M1,0.06338235294117647,???,1.1764705882352942,lightoil,0.053875
+R12_FSU,2100,loil_i,SO2_Emission,R12_FSU,2100,M1,1.4217882352941178,???,1.1764705882352942,lightoil,1.20852
+R12_FSU,2100,loil_i,VOC_Emission,R12_FSU,2100,M1,0.7676294117647059,???,1.1764705882352942,lightoil,0.652485
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+R12_FSU,2110,biomass_i,CH4_Emission,R12_FSU,2110,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_FSU,2110,biomass_i,CO_Emission,R12_FSU,2110,M1,2.3831866666666666,???,1.3333333333333333,biomass,1.78739
+R12_FSU,2110,biomass_i,N2O_Emission,R12_FSU,2110,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_FSU,2110,biomass_i,NH3_Emission,R12_FSU,2110,M1,0.09105066666666667,???,1.3333333333333333,biomass,0.068288
+R12_FSU,2110,biomass_i,NOx_Emission,R12_FSU,2110,M1,2.432293333333333,???,1.3333333333333333,biomass,1.8242199999999997
+R12_FSU,2110,biomass_i,OCA_Emission,R12_FSU,2110,M1,0.012464,???,1.3333333333333333,biomass,0.009348
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+R12_FSU,2110,coal_i,NH3_Emission,R12_FSU,2110,M1,0.00037375,???,1.25,coal,0.000299
+R12_FSU,2110,coal_i,NOx_Emission,R12_FSU,2110,M1,1.8576875000000002,???,1.25,coal,1.48615
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+R12_FSU,2110,foil_i,NOx_Emission,R12_FSU,2110,M1,3.9637647058823533,???,1.1764705882352942,fueloil,3.3692
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+R12_LAM,2030,coal_i,SO2_Emission,R12_LAM,2030,M1,13.653382352941176,???,1.4705882352941175,coal,9.2843
+R12_LAM,2030,coal_i,VOC_Emission,R12_LAM,2030,M1,0.3634426470588235,???,1.4705882352941175,coal,0.247141
+R12_LAM,2030,eth_i,BCA_Emission,R12_LAM,2030,M1,0.836795061728395,???,1.2345679012345678,ethanol,0.677804
+R12_LAM,2030,eth_i,CO_Emission,R12_LAM,2030,M1,6.12158024691358,???,1.2345679012345678,ethanol,4.95848
+R12_LAM,2030,eth_i,NH3_Emission,R12_LAM,2030,M1,0.007839506172839506,???,1.2345679012345678,ethanol,0.006350000000000001
+R12_LAM,2030,eth_i,NOx_Emission,R12_LAM,2030,M1,18.959629629629628,???,1.2345679012345678,ethanol,15.3573
+R12_LAM,2030,eth_i,OCA_Emission,R12_LAM,2030,M1,0.3795864197530864,???,1.2345679012345678,ethanol,0.307465
+R12_LAM,2030,eth_i,VOC_Emission,R12_LAM,2030,M1,2.7389012345679014,???,1.2345679012345678,ethanol,2.21851
+R12_LAM,2030,foil_i,BCA_Emission,R12_LAM,2030,M1,0.9284986301369862,???,1.36986301369863,fueloil,0.677804
+R12_LAM,2030,foil_i,CH4_Emission,R12_LAM,2030,M1,0.7397260273972602,???,1.36986301369863,fueloil,0.54
+R12_LAM,2030,foil_i,CO_Emission,R12_LAM,2030,M1,6.792438356164383,???,1.36986301369863,fueloil,4.95848
+R12_LAM,2030,foil_i,N2O_Emission,R12_LAM,2030,M1,0.01643835616438356,???,1.36986301369863,fueloil,0.012
+R12_LAM,2030,foil_i,NH3_Emission,R12_LAM,2030,M1,0.008698630136986301,???,1.36986301369863,fueloil,0.006350000000000001
+R12_LAM,2030,foil_i,NOx_Emission,R12_LAM,2030,M1,21.037397260273973,???,1.36986301369863,fueloil,15.357300000000002
+R12_LAM,2030,foil_i,OCA_Emission,R12_LAM,2030,M1,0.42118493150684927,???,1.36986301369863,fueloil,0.307465
+R12_LAM,2030,foil_i,SO2_Emission,R12_LAM,2030,M1,4.011794520547945,???,1.36986301369863,fueloil,2.9286100000000004
+R12_LAM,2030,foil_i,VOC_Emission,R12_LAM,2030,M1,3.039054794520548,???,1.36986301369863,fueloil,2.21851
+R12_LAM,2030,gas_i,BCA_Emission,R12_LAM,2030,M1,0.00023875,???,1.25,gas,0.000191
+R12_LAM,2030,gas_i,CH4_Emission,R12_LAM,2030,M1,0.1625,???,1.25,gas,0.13
+R12_LAM,2030,gas_i,CO_Emission,R12_LAM,2030,M1,1.245365,???,1.25,gas,0.9962920000000001
+R12_LAM,2030,gas_i,N2O_Emission,R12_LAM,2030,M1,0.0025,???,1.25,gas,0.002
+R12_LAM,2030,gas_i,NH3_Emission,R12_LAM,2030,M1,0.0053375,???,1.25,gas,0.00427
+R12_LAM,2030,gas_i,NOx_Emission,R12_LAM,2030,M1,3.5581875000000003,???,1.25,gas,2.84655
+R12_LAM,2030,gas_i,OCA_Emission,R12_LAM,2030,M1,0.00266875,???,1.25,gas,0.002135
+R12_LAM,2030,gas_i,SO2_Emission,R12_LAM,2030,M1,0.08179,???,1.25,gas,0.065432
+R12_LAM,2030,gas_i,VOC_Emission,R12_LAM,2030,M1,0.07116375,???,1.25,gas,0.056930999999999995
+R12_LAM,2030,loil_i,BCA_Emission,R12_LAM,2030,M1,0.9284986301369862,???,1.36986301369863,lightoil,0.677804
+R12_LAM,2030,loil_i,CO_Emission,R12_LAM,2030,M1,6.792438356164383,???,1.36986301369863,lightoil,4.95848
+R12_LAM,2030,loil_i,NH3_Emission,R12_LAM,2030,M1,0.008698630136986301,???,1.36986301369863,lightoil,0.006350000000000001
+R12_LAM,2030,loil_i,NOx_Emission,R12_LAM,2030,M1,21.037397260273973,???,1.36986301369863,lightoil,15.357300000000002
+R12_LAM,2030,loil_i,OCA_Emission,R12_LAM,2030,M1,0.42118493150684927,???,1.36986301369863,lightoil,0.307465
+R12_LAM,2030,loil_i,SO2_Emission,R12_LAM,2030,M1,4.011794520547945,???,1.36986301369863,lightoil,2.9286100000000004
+R12_LAM,2030,loil_i,VOC_Emission,R12_LAM,2030,M1,3.039054794520548,???,1.36986301369863,lightoil,2.21851
+R12_LAM,2035,biomass_i,BCA_Emission,R12_LAM,2035,M1,0.13028252747252747,???,1.4835164835164836,biomass,0.08782007407407406
+R12_LAM,2035,biomass_i,CH4_Emission,R12_LAM,2035,M1,1.186813186813187,???,1.4835164835164836,biomass,0.8000000000000002
+R12_LAM,2035,biomass_i,CO_Emission,R12_LAM,2035,M1,14.035252747252748,???,1.4835164835164836,biomass,9.4608
+R12_LAM,2035,biomass_i,N2O_Emission,R12_LAM,2035,M1,0.14835164835164838,???,1.4835164835164836,biomass,0.10000000000000002
+R12_LAM,2035,biomass_i,NH3_Emission,R12_LAM,2035,M1,0.22603659340659338,???,1.4835164835164836,biomass,0.1523654074074074
+R12_LAM,2035,biomass_i,NOx_Emission,R12_LAM,2035,M1,5.825714285714286,???,1.4835164835164836,biomass,3.9269629629629628
+R12_LAM,2035,biomass_i,OCA_Emission,R12_LAM,2035,M1,0.17275071428571426,???,1.4835164835164836,biomass,0.11644677777777776
+R12_LAM,2035,biomass_i,SO2_Emission,R12_LAM,2035,M1,1.1696043956043956,???,1.4835164835164836,biomass,0.7883999999999999
+R12_LAM,2035,biomass_i,VOC_Emission,R12_LAM,2035,M1,2.67794010989011,???,1.4835164835164836,biomass,1.80513
+R12_LAM,2035,coal_i,BCA_Emission,R12_LAM,2035,M1,0.001590043720190779,???,1.4109697933227343,coal,0.0011269154929577465
+R12_LAM,2035,coal_i,CH4_Emission,R12_LAM,2035,M1,0.3809618441971383,???,1.4109697933227343,coal,0.27
+R12_LAM,2035,coal_i,CO_Emission,R12_LAM,2035,M1,2.120985294117647,???,1.4109697933227343,coal,1.503210985915493
+R12_LAM,2035,coal_i,N2O_Emission,R12_LAM,2035,M1,0.05220588235294117,???,1.4109697933227343,coal,0.037
+R12_LAM,2035,coal_i,NH3_Emission,R12_LAM,2035,M1,0.0003485095389507154,???,1.4109697933227343,coal,0.000247
+R12_LAM,2035,coal_i,NOx_Emission,R12_LAM,2035,M1,3.7843501589825115,???,1.4109697933227343,coal,2.682091549295775
+R12_LAM,2035,coal_i,OCA_Emission,R12_LAM,2035,M1,0.0008152027027027027,???,1.4109697933227343,coal,0.0005777605633802817
+R12_LAM,2035,coal_i,SO2_Emission,R12_LAM,2035,M1,12.34112360890302,???,1.4109697933227343,coal,8.746554084507043
+R12_LAM,2035,coal_i,VOC_Emission,R12_LAM,2035,M1,0.3487084856915739,???,1.4109697933227343,coal,0.24714100000000003
+R12_LAM,2035,eth_i,BCA_Emission,R12_LAM,2035,M1,0.7581770489364867,???,1.2196935891715008,ethanol,0.6216127195121952
+R12_LAM,2035,eth_i,CO_Emission,R12_LAM,2035,M1,5.780820243938718,???,1.2196935891715008,ethanol,4.7395676219512195
+R12_LAM,2035,eth_i,NH3_Emission,R12_LAM,2035,M1,0.007657102484010116,???,1.2196935891715008,ethanol,0.00627789024390244
+R12_LAM,2035,eth_i,NOx_Emission,R12_LAM,2035,M1,17.330176260597945,???,1.2196935891715008,ethanol,14.208631097560973
+R12_LAM,2035,eth_i,OCA_Emission,R12_LAM,2035,M1,0.3438630893946155,???,1.2196935891715008,ethanol,0.2819257987804878
+R12_LAM,2035,eth_i,VOC_Emission,R12_LAM,2035,M1,2.507577123308047,???,1.2196935891715008,ethanol,2.05590743902439
+R12_LAM,2035,foil_i,BCA_Emission,R12_LAM,2035,M1,0.8212328593722906,???,1.3178428992543783,fueloil,0.6231644605263158
+R12_LAM,2035,foil_i,CH4_Emission,R12_LAM,2035,M1,0.7116351655973643,???,1.3178428992543783,fueloil,0.54
+R12_LAM,2035,foil_i,CO_Emission,R12_LAM,2035,M1,6.253972342639154,???,1.3178428992543783,fueloil,4.745612960526316
+R12_LAM,2035,foil_i,N2O_Emission,R12_LAM,2035,M1,0.01581411479105254,???,1.3178428992543783,fueloil,0.012
+R12_LAM,2035,foil_i,NH3_Emission,R12_LAM,2035,M1,0.008275897346974162,???,1.3178428992543783,fueloil,0.006279881578947368
+R12_LAM,2035,foil_i,NOx_Emission,R12_LAM,2035,M1,18.76654673140281,???,1.3178428992543783,fueloil,14.240351973684211
+R12_LAM,2035,foil_i,OCA_Emission,R12_LAM,2035,M1,0.37246335182937396,???,1.3178428992543783,fueloil,0.282631072368421
+R12_LAM,2035,foil_i,SO2_Emission,R12_LAM,2035,M1,3.58084662736258,???,1.3178428992543783,fueloil,2.7172029605263157
+R12_LAM,2035,foil_i,VOC_Emission,R12_LAM,2035,M1,2.715280561817236,???,1.3178428992543783,fueloil,2.060397763157895
+R12_LAM,2035,gas_i,BCA_Emission,R12_LAM,2035,M1,0.0002317279411764706,???,1.2132352941176472,gas,0.00019099999999999998
+R12_LAM,2035,gas_i,CH4_Emission,R12_LAM,2035,M1,0.1577205882352941,???,1.2132352941176472,gas,0.12999999999999998
+R12_LAM,2035,gas_i,CO_Emission,R12_LAM,2035,M1,1.200531323529412,???,1.2132352941176472,gas,0.9895288484848486
+R12_LAM,2035,gas_i,N2O_Emission,R12_LAM,2035,M1,0.0024264705882352943,???,1.2132352941176472,gas,0.002
+R12_LAM,2035,gas_i,NH3_Emission,R12_LAM,2035,M1,0.005034044117647059,???,1.2132352941176472,gas,0.004149272727272727
+R12_LAM,2035,gas_i,NOx_Emission,R12_LAM,2035,M1,3.219111397058824,???,1.2132352941176472,gas,2.653328181818182
+R12_LAM,2035,gas_i,OCA_Emission,R12_LAM,2035,M1,0.0025902573529411766,???,1.2132352941176472,gas,0.0021349999999999997
+R12_LAM,2035,gas_i,SO2_Emission,R12_LAM,2035,M1,0.07938441176470588,???,1.2132352941176472,gas,0.06543199999999999
+R12_LAM,2035,gas_i,VOC_Emission,R12_LAM,2035,M1,0.06907069852941176,???,1.2132352941176472,gas,0.056930999999999995
+R12_LAM,2035,loil_i,BCA_Emission,R12_LAM,2035,M1,0.8212328593722906,???,1.3178428992543783,lightoil,0.6231644605263158
+R12_LAM,2035,loil_i,CO_Emission,R12_LAM,2035,M1,6.253972342639154,???,1.3178428992543783,lightoil,4.745612960526316
+R12_LAM,2035,loil_i,NH3_Emission,R12_LAM,2035,M1,0.008275897346974162,???,1.3178428992543783,lightoil,0.006279881578947368
+R12_LAM,2035,loil_i,NOx_Emission,R12_LAM,2035,M1,18.76654673140281,???,1.3178428992543783,lightoil,14.240351973684211
+R12_LAM,2035,loil_i,OCA_Emission,R12_LAM,2035,M1,0.37246335182937396,???,1.3178428992543783,lightoil,0.282631072368421
+R12_LAM,2035,loil_i,SO2_Emission,R12_LAM,2035,M1,3.58084662736258,???,1.3178428992543783,lightoil,2.7172029605263157
+R12_LAM,2035,loil_i,VOC_Emission,R12_LAM,2035,M1,2.715280561817236,???,1.3178428992543783,lightoil,2.060397763157895
+R12_LAM,2040,biomass_i,BCA_Emission,R12_LAM,2040,M1,0.11303428571428571,???,1.4285714285714286,biomass,0.079124
+R12_LAM,2040,biomass_i,CH4_Emission,R12_LAM,2040,M1,1.142857142857143,???,1.4285714285714286,biomass,0.8
+R12_LAM,2040,biomass_i,CO_Emission,R12_LAM,2040,M1,13.515428571428572,???,1.4285714285714286,biomass,9.4608
+R12_LAM,2040,biomass_i,N2O_Emission,R12_LAM,2040,M1,0.14285714285714288,???,1.4285714285714286,biomass,0.1
+R12_LAM,2040,biomass_i,NH3_Emission,R12_LAM,2040,M1,0.2094885714285714,???,1.4285714285714286,biomass,0.146642
+R12_LAM,2040,biomass_i,NOx_Emission,R12_LAM,2040,M1,5.344228571428571,???,1.4285714285714286,biomass,3.74096
+R12_LAM,2040,biomass_i,OCA_Emission,R12_LAM,2040,M1,0.14988142857142858,???,1.4285714285714286,biomass,0.10491700000000001
+R12_LAM,2040,biomass_i,SO2_Emission,R12_LAM,2040,M1,1.1262857142857143,???,1.4285714285714286,biomass,0.7884
+R12_LAM,2040,biomass_i,VOC_Emission,R12_LAM,2040,M1,2.578757142857143,???,1.4285714285714286,biomass,1.8051300000000001
+R12_LAM,2040,coal_i,BCA_Emission,R12_LAM,2040,M1,0.0013756756756756756,???,1.3513513513513513,coal,0.001018
+R12_LAM,2040,coal_i,CH4_Emission,R12_LAM,2040,M1,0.36486486486486486,???,1.3513513513513513,coal,0.27
+R12_LAM,2040,coal_i,CO_Emission,R12_LAM,2040,M1,2.029,???,1.3513513513513513,coal,1.50146
+R12_LAM,2040,coal_i,N2O_Emission,R12_LAM,2040,M1,0.049999999999999996,???,1.3513513513513513,coal,0.037
+R12_LAM,2040,coal_i,NH3_Emission,R12_LAM,2040,M1,0.00033378378378378374,???,1.3513513513513513,coal,0.000247
+R12_LAM,2040,coal_i,NOx_Emission,R12_LAM,2040,M1,3.4137297297297295,???,1.3513513513513513,coal,2.52616
+R12_LAM,2040,coal_i,OCA_Emission,R12_LAM,2040,M1,0.0007054054054054054,???,1.3513513513513513,coal,0.000522
+R12_LAM,2040,coal_i,SO2_Emission,R12_LAM,2040,M1,11.028864864864865,???,1.3513513513513513,coal,8.16136
+R12_LAM,2040,coal_i,VOC_Emission,R12_LAM,2040,M1,0.33397432432432433,???,1.3513513513513513,coal,0.24714100000000003
+R12_LAM,2040,eth_i,BCA_Emission,R12_LAM,2040,M1,0.6795590361445785,???,1.2048192771084338,ethanol,0.564034
+R12_LAM,2040,eth_i,CO_Emission,R12_LAM,2040,M1,5.440060240963856,???,1.2048192771084338,ethanol,4.51525
+R12_LAM,2040,eth_i,NH3_Emission,R12_LAM,2040,M1,0.007474698795180724,???,1.2048192771084338,ethanol,0.006204
+R12_LAM,2040,eth_i,NOx_Emission,R12_LAM,2040,M1,15.700722891566265,???,1.2048192771084338,ethanol,13.0316
+R12_LAM,2040,eth_i,OCA_Emission,R12_LAM,2040,M1,0.3081397590361446,???,1.2048192771084338,ethanol,0.255756
+R12_LAM,2040,eth_i,VOC_Emission,R12_LAM,2040,M1,2.2762530120481927,???,1.2048192771084338,ethanol,1.88929
+R12_LAM,2040,foil_i,BCA_Emission,R12_LAM,2040,M1,0.713967088607595,???,1.2658227848101264,fueloil,0.564034
+R12_LAM,2040,foil_i,CH4_Emission,R12_LAM,2040,M1,0.6835443037974683,???,1.2658227848101264,fueloil,0.54
+R12_LAM,2040,foil_i,CO_Emission,R12_LAM,2040,M1,5.715506329113923,???,1.2658227848101264,fueloil,4.51525
+R12_LAM,2040,foil_i,N2O_Emission,R12_LAM,2040,M1,0.015189873417721518,???,1.2658227848101264,fueloil,0.012
+R12_LAM,2040,foil_i,NH3_Emission,R12_LAM,2040,M1,0.007853164556962024,???,1.2658227848101264,fueloil,0.006204
+R12_LAM,2040,foil_i,NOx_Emission,R12_LAM,2040,M1,16.495696202531644,???,1.2658227848101264,fueloil,13.0316
+R12_LAM,2040,foil_i,OCA_Emission,R12_LAM,2040,M1,0.3237417721518987,???,1.2658227848101264,fueloil,0.255756
+R12_LAM,2040,foil_i,SO2_Emission,R12_LAM,2040,M1,3.149898734177215,???,1.2658227848101264,fueloil,2.48842
+R12_LAM,2040,foil_i,VOC_Emission,R12_LAM,2040,M1,2.391506329113924,???,1.2658227848101264,fueloil,1.88929
+R12_LAM,2040,gas_i,BCA_Emission,R12_LAM,2040,M1,0.00022470588235294118,???,1.1764705882352942,gas,0.000191
+R12_LAM,2040,gas_i,CH4_Emission,R12_LAM,2040,M1,0.15294117647058825,???,1.1764705882352942,gas,0.13
+R12_LAM,2040,gas_i,CO_Emission,R12_LAM,2040,M1,1.1556976470588236,???,1.1764705882352942,gas,0.9823430000000001
+R12_LAM,2040,gas_i,N2O_Emission,R12_LAM,2040,M1,0.0023529411764705885,???,1.1764705882352942,gas,0.002
+R12_LAM,2040,gas_i,NH3_Emission,R12_LAM,2040,M1,0.004730588235294118,???,1.1764705882352942,gas,0.004021
+R12_LAM,2040,gas_i,NOx_Emission,R12_LAM,2040,M1,2.8800352941176475,???,1.1764705882352942,gas,2.44803
+R12_LAM,2040,gas_i,OCA_Emission,R12_LAM,2040,M1,0.002511764705882353,???,1.1764705882352942,gas,0.002135
+R12_LAM,2040,gas_i,SO2_Emission,R12_LAM,2040,M1,0.07697882352941177,???,1.1764705882352942,gas,0.065432
+R12_LAM,2040,gas_i,VOC_Emission,R12_LAM,2040,M1,0.06697764705882353,???,1.1764705882352942,gas,0.056931
+R12_LAM,2040,loil_i,BCA_Emission,R12_LAM,2040,M1,0.713967088607595,???,1.2658227848101264,lightoil,0.564034
+R12_LAM,2040,loil_i,CO_Emission,R12_LAM,2040,M1,5.715506329113923,???,1.2658227848101264,lightoil,4.51525
+R12_LAM,2040,loil_i,NH3_Emission,R12_LAM,2040,M1,0.007853164556962024,???,1.2658227848101264,lightoil,0.006204
+R12_LAM,2040,loil_i,NOx_Emission,R12_LAM,2040,M1,16.495696202531644,???,1.2658227848101264,lightoil,13.0316
+R12_LAM,2040,loil_i,OCA_Emission,R12_LAM,2040,M1,0.3237417721518987,???,1.2658227848101264,lightoil,0.255756
+R12_LAM,2040,loil_i,SO2_Emission,R12_LAM,2040,M1,3.149898734177215,???,1.2658227848101264,lightoil,2.48842
+R12_LAM,2040,loil_i,VOC_Emission,R12_LAM,2040,M1,2.391506329113924,???,1.2658227848101264,lightoil,1.88929
+R12_LAM,2045,biomass_i,BCA_Emission,R12_LAM,2045,M1,0.09808580952380952,???,1.380952380952381,biomass,0.07102765517241379
+R12_LAM,2045,biomass_i,CH4_Emission,R12_LAM,2045,M1,1.1047619047619048,???,1.380952380952381,biomass,0.8
+R12_LAM,2045,biomass_i,CO_Emission,R12_LAM,2045,M1,13.064914285714286,???,1.380952380952381,biomass,9.4608
+R12_LAM,2045,biomass_i,N2O_Emission,R12_LAM,2045,M1,0.1380952380952381,???,1.380952380952381,biomass,0.1
+R12_LAM,2045,biomass_i,NH3_Emission,R12_LAM,2045,M1,0.19514761904761904,???,1.380952380952381,biomass,0.14131379310344827
+R12_LAM,2045,biomass_i,NOx_Emission,R12_LAM,2045,M1,4.926940952380952,???,1.380952380952381,biomass,3.5677848275862067
+R12_LAM,2045,biomass_i,OCA_Emission,R12_LAM,2045,M1,0.13006138095238096,???,1.380952380952381,biomass,0.09418237931034483
+R12_LAM,2045,biomass_i,SO2_Emission,R12_LAM,2045,M1,1.088742857142857,???,1.380952380952381,biomass,0.7883999999999999
+R12_LAM,2045,biomass_i,VOC_Emission,R12_LAM,2045,M1,2.4927985714285716,???,1.380952380952381,biomass,1.8051300000000001
+R12_LAM,2045,coal_i,BCA_Emission,R12_LAM,2045,M1,0.001193462837837838,???,1.3006756756756757,coal,0.0009175714285714286
+R12_LAM,2045,coal_i,CH4_Emission,R12_LAM,2045,M1,0.3511824324324324,???,1.3006756756756757,coal,0.26999999999999996
+R12_LAM,2045,coal_i,CO_Emission,R12_LAM,2045,M1,1.95081875,???,1.3006756756756757,coal,1.4998502597402599
+R12_LAM,2045,coal_i,N2O_Emission,R12_LAM,2045,M1,0.048125,???,1.3006756756756757,coal,0.037
+R12_LAM,2045,coal_i,NH3_Emission,R12_LAM,2045,M1,0.0003212668918918919,???,1.3006756756756757,coal,0.000247
+R12_LAM,2045,coal_i,NOx_Emission,R12_LAM,2045,M1,3.098702364864865,???,1.3006756756756757,coal,2.382378961038961
+R12_LAM,2045,coal_i,OCA_Emission,R12_LAM,2045,M1,0.0006127027027027027,???,1.3006756756756757,coal,0.0004710649350649351
+R12_LAM,2045,coal_i,SO2_Emission,R12_LAM,2045,M1,9.913438682432432,???,1.3006756756756757,coal,7.621760649350649
+R12_LAM,2045,coal_i,VOC_Emission,R12_LAM,2045,M1,0.3214502871621622,???,1.3006756756756757,coal,0.247141
+R12_LAM,2045,eth_i,BCA_Emission,R12_LAM,2045,M1,0.6046401063075834,???,1.190644932671864,ethanol,0.5078257083333334
+R12_LAM,2045,eth_i,CO_Emission,R12_LAM,2045,M1,5.115330120481928,???,1.190644932671864,ethanol,4.296268333333333
+R12_LAM,2045,eth_i,NH3_Emission,R12_LAM,2045,M1,0.007300290574060951,???,1.190644932671864,ethanol,0.0061313750000000005
+R12_LAM,2045,eth_i,NOx_Emission,R12_LAM,2045,M1,14.14789085754784,???,1.190644932671864,ethanol,11.882544047619048
+R12_LAM,2045,eth_i,OCA_Emission,R12_LAM,2045,M1,0.2740969383416017,???,1.190644932671864,ethanol,0.2302087976190476
+R12_LAM,2045,eth_i,VOC_Emission,R12_LAM,2045,M1,2.0558206236711554,???,1.190644932671864,ethanol,1.7266445833333333
+R12_LAM,2045,foil_i,BCA_Emission,R12_LAM,2045,M1,0.6218441325390915,???,1.2211466865227103,fueloil,0.5092296768292682
+R12_LAM,2045,foil_i,CH4_Emission,R12_LAM,2045,M1,0.6594192107222636,???,1.2211466865227103,fueloil,0.54
+R12_LAM,2045,foil_i,CO_Emission,R12_LAM,2045,M1,5.253053164556961,???,1.2211466865227103,fueloil,4.3017380487804875
+R12_LAM,2045,foil_i,N2O_Emission,R12_LAM,2045,M1,0.014653760238272525,???,1.2211466865227103,fueloil,0.012000000000000002
+R12_LAM,2045,foil_i,NH3_Emission,R12_LAM,2045,M1,0.0074895234549516,???,1.2211466865227103,fueloil,0.006133189024390244
+R12_LAM,2045,foil_i,NOx_Emission,R12_LAM,2045,M1,14.545377513030527,???,1.2211466865227103,fueloil,11.911245121951218
+R12_LAM,2045,foil_i,OCA_Emission,R12_LAM,2045,M1,0.2818979448994788,???,1.2211466865227103,fueloil,0.23084691463414636
+R12_LAM,2045,foil_i,SO2_Emission,R12_LAM,2045,M1,2.7797846612062544,???,1.2211466865227103,fueloil,2.27637243902439
+R12_LAM,2045,foil_i,VOC_Emission,R12_LAM,2045,M1,2.113447282204021,???,1.2211466865227103,fueloil,1.7307071341463416
+R12_LAM,2045,gas_i,BCA_Emission,R12_LAM,2045,M1,0.0002184640522875817,???,1.1437908496732025,gas,0.000191
+R12_LAM,2045,gas_i,CH4_Emission,R12_LAM,2045,M1,0.14869281045751637,???,1.1437908496732025,gas,0.13000000000000003
+R12_LAM,2045,gas_i,CO_Emission,R12_LAM,2045,M1,1.115846045751634,???,1.1437908496732025,gas,0.9755682571428571
+R12_LAM,2045,gas_i,N2O_Emission,R12_LAM,2045,M1,0.0022875816993464053,???,1.1437908496732025,gas,0.002
+R12_LAM,2045,gas_i,NH3_Emission,R12_LAM,2045,M1,0.0044608496732026146,???,1.1437908496732025,gas,0.0039000571428571434
+R12_LAM,2045,gas_i,NOx_Emission,R12_LAM,2045,M1,2.5786343137254906,???,1.1437908496732025,gas,2.2544631428571433
+R12_LAM,2045,gas_i,OCA_Emission,R12_LAM,2045,M1,0.002441993464052288,???,1.1437908496732025,gas,0.002135
+R12_LAM,2045,gas_i,SO2_Emission,R12_LAM,2045,M1,0.074840522875817,???,1.1437908496732025,gas,0.065432
+R12_LAM,2045,gas_i,VOC_Emission,R12_LAM,2045,M1,0.06511715686274511,???,1.1437908496732025,gas,0.05693100000000001
+R12_LAM,2045,loil_i,BCA_Emission,R12_LAM,2045,M1,0.6218441325390915,???,1.2211466865227103,lightoil,0.5092296768292682
+R12_LAM,2045,loil_i,CO_Emission,R12_LAM,2045,M1,5.253053164556961,???,1.2211466865227103,lightoil,4.3017380487804875
+R12_LAM,2045,loil_i,NH3_Emission,R12_LAM,2045,M1,0.0074895234549516,???,1.2211466865227103,lightoil,0.006133189024390244
+R12_LAM,2045,loil_i,NOx_Emission,R12_LAM,2045,M1,14.545377513030527,???,1.2211466865227103,lightoil,11.911245121951218
+R12_LAM,2045,loil_i,OCA_Emission,R12_LAM,2045,M1,0.2818979448994788,???,1.2211466865227103,lightoil,0.23084691463414636
+R12_LAM,2045,loil_i,SO2_Emission,R12_LAM,2045,M1,2.7797846612062544,???,1.2211466865227103,lightoil,2.27637243902439
+R12_LAM,2045,loil_i,VOC_Emission,R12_LAM,2045,M1,2.113447282204021,???,1.2211466865227103,lightoil,1.7307071341463416
+R12_LAM,2050,biomass_i,BCA_Emission,R12_LAM,2050,M1,0.08313733333333333,???,1.3333333333333333,biomass,0.062353
+R12_LAM,2050,biomass_i,CH4_Emission,R12_LAM,2050,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2050,biomass_i,CO_Emission,R12_LAM,2050,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2050,biomass_i,N2O_Emission,R12_LAM,2050,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2050,biomass_i,NH3_Emission,R12_LAM,2050,M1,0.18080666666666667,???,1.3333333333333333,biomass,0.135605
+R12_LAM,2050,biomass_i,NOx_Emission,R12_LAM,2050,M1,4.509653333333333,???,1.3333333333333333,biomass,3.3822399999999995
+R12_LAM,2050,biomass_i,OCA_Emission,R12_LAM,2050,M1,0.11024133333333333,???,1.3333333333333333,biomass,0.082681
+R12_LAM,2050,biomass_i,SO2_Emission,R12_LAM,2050,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2050,biomass_i,VOC_Emission,R12_LAM,2050,M1,2.40684,???,1.3333333333333333,biomass,1.80513
+R12_LAM,2050,coal_i,BCA_Emission,R12_LAM,2050,M1,0.00101125,???,1.25,coal,0.000809
+R12_LAM,2050,coal_i,CH4_Emission,R12_LAM,2050,M1,0.3375,???,1.25,coal,0.27
+R12_LAM,2050,coal_i,CO_Emission,R12_LAM,2050,M1,1.8726375000000002,???,1.25,coal,1.49811
+R12_LAM,2050,coal_i,N2O_Emission,R12_LAM,2050,M1,0.04625,???,1.25,coal,0.037
+R12_LAM,2050,coal_i,NH3_Emission,R12_LAM,2050,M1,0.00030875,???,1.25,coal,0.000247
+R12_LAM,2050,coal_i,NOx_Emission,R12_LAM,2050,M1,2.7836749999999997,???,1.25,coal,2.22694
+R12_LAM,2050,coal_i,OCA_Emission,R12_LAM,2050,M1,0.00052,???,1.25,coal,0.000416
+R12_LAM,2050,coal_i,SO2_Emission,R12_LAM,2050,M1,8.7980125,???,1.25,coal,7.038410000000001
+R12_LAM,2050,coal_i,VOC_Emission,R12_LAM,2050,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2050,eth_i,BCA_Emission,R12_LAM,2050,M1,0.5297211764705883,???,1.1764705882352942,ethanol,0.450263
+R12_LAM,2050,eth_i,CO_Emission,R12_LAM,2050,M1,4.7905999999999995,???,1.1764705882352942,ethanol,4.07201
+R12_LAM,2050,eth_i,NH3_Emission,R12_LAM,2050,M1,0.007125882352941176,???,1.1764705882352942,ethanol,0.006057
+R12_LAM,2050,eth_i,NOx_Emission,R12_LAM,2050,M1,12.595058823529412,???,1.1764705882352942,ethanol,10.7058
+R12_LAM,2050,eth_i,OCA_Emission,R12_LAM,2050,M1,0.24005411764705883,???,1.1764705882352942,ethanol,0.204046
+R12_LAM,2050,eth_i,VOC_Emission,R12_LAM,2050,M1,1.8353882352941175,???,1.1764705882352942,ethanol,1.56008
+R12_LAM,2050,foil_i,BCA_Emission,R12_LAM,2050,M1,0.5297211764705883,???,1.1764705882352942,fueloil,0.450263
+R12_LAM,2050,foil_i,CH4_Emission,R12_LAM,2050,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2050,foil_i,CO_Emission,R12_LAM,2050,M1,4.7905999999999995,???,1.1764705882352942,fueloil,4.07201
+R12_LAM,2050,foil_i,N2O_Emission,R12_LAM,2050,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2050,foil_i,NH3_Emission,R12_LAM,2050,M1,0.007125882352941176,???,1.1764705882352942,fueloil,0.006057
+R12_LAM,2050,foil_i,NOx_Emission,R12_LAM,2050,M1,12.595058823529412,???,1.1764705882352942,fueloil,10.7058
+R12_LAM,2050,foil_i,OCA_Emission,R12_LAM,2050,M1,0.24005411764705883,???,1.1764705882352942,fueloil,0.204046
+R12_LAM,2050,foil_i,SO2_Emission,R12_LAM,2050,M1,2.4096705882352945,???,1.1764705882352942,fueloil,2.04822
+R12_LAM,2050,foil_i,VOC_Emission,R12_LAM,2050,M1,1.8353882352941175,???,1.1764705882352942,fueloil,1.56008
+R12_LAM,2050,gas_i,BCA_Emission,R12_LAM,2050,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2050,gas_i,CH4_Emission,R12_LAM,2050,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2050,gas_i,CO_Emission,R12_LAM,2050,M1,1.0759944444444445,???,1.1111111111111112,gas,0.968395
+R12_LAM,2050,gas_i,N2O_Emission,R12_LAM,2050,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2050,gas_i,NH3_Emission,R12_LAM,2050,M1,0.004191111111111112,???,1.1111111111111112,gas,0.003772
+R12_LAM,2050,gas_i,NOx_Emission,R12_LAM,2050,M1,2.2772333333333337,???,1.1111111111111112,gas,2.04951
+R12_LAM,2050,gas_i,OCA_Emission,R12_LAM,2050,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2050,gas_i,SO2_Emission,R12_LAM,2050,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2050,gas_i,VOC_Emission,R12_LAM,2050,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
+R12_LAM,2050,loil_i,BCA_Emission,R12_LAM,2050,M1,0.5297211764705883,???,1.1764705882352942,lightoil,0.450263
+R12_LAM,2050,loil_i,CO_Emission,R12_LAM,2050,M1,4.7905999999999995,???,1.1764705882352942,lightoil,4.07201
+R12_LAM,2050,loil_i,NH3_Emission,R12_LAM,2050,M1,0.007125882352941176,???,1.1764705882352942,lightoil,0.006057
+R12_LAM,2050,loil_i,NOx_Emission,R12_LAM,2050,M1,12.595058823529412,???,1.1764705882352942,lightoil,10.7058
+R12_LAM,2050,loil_i,OCA_Emission,R12_LAM,2050,M1,0.24005411764705883,???,1.1764705882352942,lightoil,0.204046
+R12_LAM,2050,loil_i,SO2_Emission,R12_LAM,2050,M1,2.4096705882352945,???,1.1764705882352942,lightoil,2.04822
+R12_LAM,2050,loil_i,VOC_Emission,R12_LAM,2050,M1,1.8353882352941175,???,1.1764705882352942,lightoil,1.56008
+R12_LAM,2055,biomass_i,BCA_Emission,R12_LAM,2055,M1,0.076748,???,1.3333333333333333,biomass,0.057561
+R12_LAM,2055,biomass_i,CH4_Emission,R12_LAM,2055,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2055,biomass_i,CO_Emission,R12_LAM,2055,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2055,biomass_i,N2O_Emission,R12_LAM,2055,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2055,biomass_i,NH3_Emission,R12_LAM,2055,M1,0.17660199999999998,???,1.3333333333333333,biomass,0.1324515
+R12_LAM,2055,biomass_i,NOx_Emission,R12_LAM,2055,M1,4.372993333333333,???,1.3333333333333333,biomass,3.2797449999999997
+R12_LAM,2055,biomass_i,OCA_Emission,R12_LAM,2055,M1,0.10177066666666666,???,1.3333333333333333,biomass,0.07632800000000001
+R12_LAM,2055,biomass_i,SO2_Emission,R12_LAM,2055,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2055,biomass_i,VOC_Emission,R12_LAM,2055,M1,2.40684,???,1.3333333333333333,biomass,1.80513
+R12_LAM,2055,coal_i,BCA_Emission,R12_LAM,2055,M1,0.000934375,???,1.25,coal,0.0007475
+R12_LAM,2055,coal_i,CH4_Emission,R12_LAM,2055,M1,0.3375,???,1.25,coal,0.27
+R12_LAM,2055,coal_i,CO_Emission,R12_LAM,2055,M1,1.87144375,???,1.25,coal,1.497155
+R12_LAM,2055,coal_i,N2O_Emission,R12_LAM,2055,M1,0.04625,???,1.25,coal,0.037
+R12_LAM,2055,coal_i,NH3_Emission,R12_LAM,2055,M1,0.00030875,???,1.25,coal,0.000247
+R12_LAM,2055,coal_i,NOx_Emission,R12_LAM,2055,M1,2.6676124999999997,???,1.25,coal,2.1340899999999996
+R12_LAM,2055,coal_i,OCA_Emission,R12_LAM,2055,M1,0.000480625,???,1.25,coal,0.00038449999999999997
+R12_LAM,2055,coal_i,SO2_Emission,R12_LAM,2055,M1,8.36039375,???,1.25,coal,6.688315
+R12_LAM,2055,coal_i,VOC_Emission,R12_LAM,2055,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2055,eth_i,BCA_Emission,R12_LAM,2055,M1,0.49063647058823534,???,1.1764705882352942,ethanol,0.41704100000000005
+R12_LAM,2055,eth_i,CO_Emission,R12_LAM,2055,M1,4.636929411764706,???,1.1764705882352942,ethanol,3.94139
+R12_LAM,2055,eth_i,NH3_Emission,R12_LAM,2055,M1,0.007074705882352941,???,1.1764705882352942,ethanol,0.0060135
+R12_LAM,2055,eth_i,NOx_Emission,R12_LAM,2055,M1,11.799676470588235,???,1.1764705882352942,ethanol,10.029725
+R12_LAM,2055,eth_i,OCA_Emission,R12_LAM,2055,M1,0.2222894117647059,???,1.1764705882352942,ethanol,0.188946
+R12_LAM,2055,eth_i,VOC_Emission,R12_LAM,2055,M1,1.7221058823529412,???,1.1764705882352942,ethanol,1.46379
+R12_LAM,2055,foil_i,BCA_Emission,R12_LAM,2055,M1,0.49063647058823534,???,1.1764705882352942,fueloil,0.41704100000000005
+R12_LAM,2055,foil_i,CH4_Emission,R12_LAM,2055,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2055,foil_i,CO_Emission,R12_LAM,2055,M1,4.636929411764706,???,1.1764705882352942,fueloil,3.94139
+R12_LAM,2055,foil_i,N2O_Emission,R12_LAM,2055,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2055,foil_i,NH3_Emission,R12_LAM,2055,M1,0.007074705882352941,???,1.1764705882352942,fueloil,0.0060135
+R12_LAM,2055,foil_i,NOx_Emission,R12_LAM,2055,M1,11.799676470588235,???,1.1764705882352942,fueloil,10.029725
+R12_LAM,2055,foil_i,OCA_Emission,R12_LAM,2055,M1,0.2222894117647059,???,1.1764705882352942,fueloil,0.188946
+R12_LAM,2055,foil_i,SO2_Emission,R12_LAM,2055,M1,2.2617058823529415,???,1.1764705882352942,fueloil,1.9224500000000002
+R12_LAM,2055,foil_i,VOC_Emission,R12_LAM,2055,M1,1.7221058823529412,???,1.1764705882352942,fueloil,1.46379
+R12_LAM,2055,gas_i,BCA_Emission,R12_LAM,2055,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2055,gas_i,CH4_Emission,R12_LAM,2055,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2055,gas_i,CO_Emission,R12_LAM,2055,M1,1.0715666666666666,???,1.1111111111111112,gas,0.9644099999999999
+R12_LAM,2055,gas_i,N2O_Emission,R12_LAM,2055,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2055,gas_i,NH3_Emission,R12_LAM,2055,M1,0.004111666666666667,???,1.1111111111111112,gas,0.0037005000000000002
+R12_LAM,2055,gas_i,NOx_Emission,R12_LAM,2055,M1,2.1507222222222224,???,1.1111111111111112,gas,1.93565
+R12_LAM,2055,gas_i,OCA_Emission,R12_LAM,2055,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2055,gas_i,SO2_Emission,R12_LAM,2055,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2055,gas_i,VOC_Emission,R12_LAM,2055,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
+R12_LAM,2055,loil_i,BCA_Emission,R12_LAM,2055,M1,0.49063647058823534,???,1.1764705882352942,lightoil,0.41704100000000005
+R12_LAM,2055,loil_i,CO_Emission,R12_LAM,2055,M1,4.636929411764706,???,1.1764705882352942,lightoil,3.94139
+R12_LAM,2055,loil_i,NH3_Emission,R12_LAM,2055,M1,0.007074705882352941,???,1.1764705882352942,lightoil,0.0060135
+R12_LAM,2055,loil_i,NOx_Emission,R12_LAM,2055,M1,11.799676470588235,???,1.1764705882352942,lightoil,10.029725
+R12_LAM,2055,loil_i,OCA_Emission,R12_LAM,2055,M1,0.2222894117647059,???,1.1764705882352942,lightoil,0.188946
+R12_LAM,2055,loil_i,SO2_Emission,R12_LAM,2055,M1,2.2617058823529415,???,1.1764705882352942,lightoil,1.9224500000000002
+R12_LAM,2055,loil_i,VOC_Emission,R12_LAM,2055,M1,1.7221058823529412,???,1.1764705882352942,lightoil,1.46379
+R12_LAM,2060,biomass_i,BCA_Emission,R12_LAM,2060,M1,0.07035866666666667,???,1.3333333333333333,biomass,0.052769
+R12_LAM,2060,biomass_i,CH4_Emission,R12_LAM,2060,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2060,biomass_i,CO_Emission,R12_LAM,2060,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2060,biomass_i,N2O_Emission,R12_LAM,2060,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2060,biomass_i,NH3_Emission,R12_LAM,2060,M1,0.17239733333333332,???,1.3333333333333333,biomass,0.129298
+R12_LAM,2060,biomass_i,NOx_Emission,R12_LAM,2060,M1,4.236333333333333,???,1.3333333333333333,biomass,3.1772499999999995
+R12_LAM,2060,biomass_i,OCA_Emission,R12_LAM,2060,M1,0.0933,???,1.3333333333333333,biomass,0.069975
+R12_LAM,2060,biomass_i,SO2_Emission,R12_LAM,2060,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2060,biomass_i,VOC_Emission,R12_LAM,2060,M1,2.40684,???,1.3333333333333333,biomass,1.80513
+R12_LAM,2060,coal_i,BCA_Emission,R12_LAM,2060,M1,0.0008575,???,1.25,coal,0.000686
+R12_LAM,2060,coal_i,CH4_Emission,R12_LAM,2060,M1,0.3375,???,1.25,coal,0.27
+R12_LAM,2060,coal_i,CO_Emission,R12_LAM,2060,M1,1.87025,???,1.25,coal,1.4962
+R12_LAM,2060,coal_i,N2O_Emission,R12_LAM,2060,M1,0.04625,???,1.25,coal,0.037
+R12_LAM,2060,coal_i,NH3_Emission,R12_LAM,2060,M1,0.00030875,???,1.25,coal,0.000247
+R12_LAM,2060,coal_i,NOx_Emission,R12_LAM,2060,M1,2.55155,???,1.25,coal,2.04124
+R12_LAM,2060,coal_i,OCA_Emission,R12_LAM,2060,M1,0.00044125,???,1.25,coal,0.000353
+R12_LAM,2060,coal_i,SO2_Emission,R12_LAM,2060,M1,7.922775,???,1.25,coal,6.33822
+R12_LAM,2060,coal_i,VOC_Emission,R12_LAM,2060,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2060,eth_i,BCA_Emission,R12_LAM,2060,M1,0.4515517647058824,???,1.1764705882352942,ethanol,0.383819
+R12_LAM,2060,eth_i,CO_Emission,R12_LAM,2060,M1,4.483258823529412,???,1.1764705882352942,ethanol,3.81077
+R12_LAM,2060,eth_i,NH3_Emission,R12_LAM,2060,M1,0.007023529411764705,???,1.1764705882352942,ethanol,0.00597
+R12_LAM,2060,eth_i,NOx_Emission,R12_LAM,2060,M1,11.00429411764706,???,1.1764705882352942,ethanol,9.35365
+R12_LAM,2060,eth_i,OCA_Emission,R12_LAM,2060,M1,0.20452470588235294,???,1.1764705882352942,ethanol,0.173846
+R12_LAM,2060,eth_i,VOC_Emission,R12_LAM,2060,M1,1.6088235294117648,???,1.1764705882352942,ethanol,1.3675
+R12_LAM,2060,foil_i,BCA_Emission,R12_LAM,2060,M1,0.4515517647058824,???,1.1764705882352942,fueloil,0.383819
+R12_LAM,2060,foil_i,CH4_Emission,R12_LAM,2060,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2060,foil_i,CO_Emission,R12_LAM,2060,M1,4.483258823529412,???,1.1764705882352942,fueloil,3.81077
+R12_LAM,2060,foil_i,N2O_Emission,R12_LAM,2060,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2060,foil_i,NH3_Emission,R12_LAM,2060,M1,0.007023529411764705,???,1.1764705882352942,fueloil,0.00597
+R12_LAM,2060,foil_i,NOx_Emission,R12_LAM,2060,M1,11.00429411764706,???,1.1764705882352942,fueloil,9.35365
+R12_LAM,2060,foil_i,OCA_Emission,R12_LAM,2060,M1,0.20452470588235294,???,1.1764705882352942,fueloil,0.173846
+R12_LAM,2060,foil_i,SO2_Emission,R12_LAM,2060,M1,2.1137411764705885,???,1.1764705882352942,fueloil,1.79668
+R12_LAM,2060,foil_i,VOC_Emission,R12_LAM,2060,M1,1.6088235294117648,???,1.1764705882352942,fueloil,1.3675
+R12_LAM,2060,gas_i,BCA_Emission,R12_LAM,2060,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2060,gas_i,CH4_Emission,R12_LAM,2060,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2060,gas_i,CO_Emission,R12_LAM,2060,M1,1.0671388888888889,???,1.1111111111111112,gas,0.960425
+R12_LAM,2060,gas_i,N2O_Emission,R12_LAM,2060,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2060,gas_i,NH3_Emission,R12_LAM,2060,M1,0.004032222222222223,???,1.1111111111111112,gas,0.0036290000000000003
+R12_LAM,2060,gas_i,NOx_Emission,R12_LAM,2060,M1,2.024211111111111,???,1.1111111111111112,gas,1.82179
+R12_LAM,2060,gas_i,OCA_Emission,R12_LAM,2060,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2060,gas_i,SO2_Emission,R12_LAM,2060,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2060,gas_i,VOC_Emission,R12_LAM,2060,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
+R12_LAM,2060,loil_i,BCA_Emission,R12_LAM,2060,M1,0.4515517647058824,???,1.1764705882352942,lightoil,0.383819
+R12_LAM,2060,loil_i,CO_Emission,R12_LAM,2060,M1,4.483258823529412,???,1.1764705882352942,lightoil,3.81077
+R12_LAM,2060,loil_i,NH3_Emission,R12_LAM,2060,M1,0.007023529411764705,???,1.1764705882352942,lightoil,0.00597
+R12_LAM,2060,loil_i,NOx_Emission,R12_LAM,2060,M1,11.00429411764706,???,1.1764705882352942,lightoil,9.35365
+R12_LAM,2060,loil_i,OCA_Emission,R12_LAM,2060,M1,0.20452470588235294,???,1.1764705882352942,lightoil,0.173846
+R12_LAM,2060,loil_i,SO2_Emission,R12_LAM,2060,M1,2.1137411764705885,???,1.1764705882352942,lightoil,1.79668
+R12_LAM,2060,loil_i,VOC_Emission,R12_LAM,2060,M1,1.6088235294117648,???,1.1764705882352942,lightoil,1.3675
+R12_LAM,2070,biomass_i,BCA_Emission,R12_LAM,2070,M1,0.05758133333333333,???,1.3333333333333333,biomass,0.043186
+R12_LAM,2070,biomass_i,CH4_Emission,R12_LAM,2070,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2070,biomass_i,CO_Emission,R12_LAM,2070,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2070,biomass_i,N2O_Emission,R12_LAM,2070,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2070,biomass_i,NH3_Emission,R12_LAM,2070,M1,0.16398666666666667,???,1.3333333333333333,biomass,0.12299
+R12_LAM,2070,biomass_i,NOx_Emission,R12_LAM,2070,M1,3.9630266666666665,???,1.3333333333333333,biomass,2.97227
+R12_LAM,2070,biomass_i,OCA_Emission,R12_LAM,2070,M1,0.07635866666666666,???,1.3333333333333333,biomass,0.057268999999999994
+R12_LAM,2070,biomass_i,SO2_Emission,R12_LAM,2070,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2070,biomass_i,VOC_Emission,R12_LAM,2070,M1,2.40684,???,1.3333333333333333,biomass,1.80513
+R12_LAM,2070,coal_i,BCA_Emission,R12_LAM,2070,M1,0.0007050000000000001,???,1.25,coal,0.000564
+R12_LAM,2070,coal_i,CH4_Emission,R12_LAM,2070,M1,0.3375,???,1.25,coal,0.27
+R12_LAM,2070,coal_i,CO_Emission,R12_LAM,2070,M1,1.86785,???,1.25,coal,1.49428
+R12_LAM,2070,coal_i,N2O_Emission,R12_LAM,2070,M1,0.04625,???,1.25,coal,0.037
+R12_LAM,2070,coal_i,NH3_Emission,R12_LAM,2070,M1,0.00030875,???,1.25,coal,0.000247
+R12_LAM,2070,coal_i,NOx_Emission,R12_LAM,2070,M1,2.3194375000000003,???,1.25,coal,1.8555500000000003
+R12_LAM,2070,coal_i,OCA_Emission,R12_LAM,2070,M1,0.00036375000000000003,???,1.25,coal,0.000291
+R12_LAM,2070,coal_i,SO2_Emission,R12_LAM,2070,M1,7.04755,???,1.25,coal,5.63804
+R12_LAM,2070,coal_i,VOC_Emission,R12_LAM,2070,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2070,eth_i,BCA_Emission,R12_LAM,2070,M1,0.3733835294117647,???,1.1764705882352942,ethanol,0.317376
+R12_LAM,2070,eth_i,CO_Emission,R12_LAM,2070,M1,4.1759176470588235,???,1.1764705882352942,ethanol,3.54953
+R12_LAM,2070,eth_i,NH3_Emission,R12_LAM,2070,M1,0.00692,???,1.1764705882352942,ethanol,0.005882
+R12_LAM,2070,eth_i,NOx_Emission,R12_LAM,2070,M1,9.413470588235295,???,1.1764705882352942,ethanol,8.00145
+R12_LAM,2070,eth_i,OCA_Emission,R12_LAM,2070,M1,0.16899529411764705,???,1.1764705882352942,ethanol,0.143646
+R12_LAM,2070,eth_i,VOC_Emission,R12_LAM,2070,M1,1.3822705882352941,???,1.1764705882352942,ethanol,1.17493
+R12_LAM,2070,foil_i,BCA_Emission,R12_LAM,2070,M1,0.3733835294117647,???,1.1764705882352942,fueloil,0.317376
+R12_LAM,2070,foil_i,CH4_Emission,R12_LAM,2070,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2070,foil_i,CO_Emission,R12_LAM,2070,M1,4.1759176470588235,???,1.1764705882352942,fueloil,3.54953
+R12_LAM,2070,foil_i,N2O_Emission,R12_LAM,2070,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2070,foil_i,NH3_Emission,R12_LAM,2070,M1,0.00692,???,1.1764705882352942,fueloil,0.005882
+R12_LAM,2070,foil_i,NOx_Emission,R12_LAM,2070,M1,9.413470588235295,???,1.1764705882352942,fueloil,8.00145
+R12_LAM,2070,foil_i,OCA_Emission,R12_LAM,2070,M1,0.16899529411764705,???,1.1764705882352942,fueloil,0.143646
+R12_LAM,2070,foil_i,SO2_Emission,R12_LAM,2070,M1,1.8178117647058825,???,1.1764705882352942,fueloil,1.54514
+R12_LAM,2070,foil_i,VOC_Emission,R12_LAM,2070,M1,1.3822705882352941,???,1.1764705882352942,fueloil,1.17493
+R12_LAM,2070,gas_i,BCA_Emission,R12_LAM,2070,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2070,gas_i,CH4_Emission,R12_LAM,2070,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2070,gas_i,CO_Emission,R12_LAM,2070,M1,1.0582833333333335,???,1.1111111111111112,gas,0.952455
+R12_LAM,2070,gas_i,N2O_Emission,R12_LAM,2070,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2070,gas_i,NH3_Emission,R12_LAM,2070,M1,0.0038744444444444447,???,1.1111111111111112,gas,0.003487
+R12_LAM,2070,gas_i,NOx_Emission,R12_LAM,2070,M1,1.7711888888888891,???,1.1111111111111112,gas,1.59407
+R12_LAM,2070,gas_i,OCA_Emission,R12_LAM,2070,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2070,gas_i,SO2_Emission,R12_LAM,2070,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2070,gas_i,VOC_Emission,R12_LAM,2070,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
+R12_LAM,2070,loil_i,BCA_Emission,R12_LAM,2070,M1,0.3733835294117647,???,1.1764705882352942,lightoil,0.317376
+R12_LAM,2070,loil_i,CO_Emission,R12_LAM,2070,M1,4.1759176470588235,???,1.1764705882352942,lightoil,3.54953
+R12_LAM,2070,loil_i,NH3_Emission,R12_LAM,2070,M1,0.00692,???,1.1764705882352942,lightoil,0.005882
+R12_LAM,2070,loil_i,NOx_Emission,R12_LAM,2070,M1,9.413470588235295,???,1.1764705882352942,lightoil,8.00145
+R12_LAM,2070,loil_i,OCA_Emission,R12_LAM,2070,M1,0.16899529411764705,???,1.1764705882352942,lightoil,0.143646
+R12_LAM,2070,loil_i,SO2_Emission,R12_LAM,2070,M1,1.8178117647058825,???,1.1764705882352942,lightoil,1.54514
+R12_LAM,2070,loil_i,VOC_Emission,R12_LAM,2070,M1,1.3822705882352941,???,1.1764705882352942,lightoil,1.17493
+R12_LAM,2080,biomass_i,BCA_Emission,R12_LAM,2080,M1,0.044802666666666664,???,1.3333333333333333,biomass,0.033602
+R12_LAM,2080,biomass_i,CH4_Emission,R12_LAM,2080,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2080,biomass_i,CO_Emission,R12_LAM,2080,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2080,biomass_i,N2O_Emission,R12_LAM,2080,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2080,biomass_i,NH3_Emission,R12_LAM,2080,M1,0.15557733333333332,???,1.3333333333333333,biomass,0.116683
+R12_LAM,2080,biomass_i,NOx_Emission,R12_LAM,2080,M1,3.6897066666666665,???,1.3333333333333333,biomass,2.76728
+R12_LAM,2080,biomass_i,OCA_Emission,R12_LAM,2080,M1,0.05941733333333333,???,1.3333333333333333,biomass,0.044563
+R12_LAM,2080,biomass_i,SO2_Emission,R12_LAM,2080,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2080,biomass_i,VOC_Emission,R12_LAM,2080,M1,2.40684,???,1.3333333333333333,biomass,1.80513
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+R12_LAM,2080,coal_i,CH4_Emission,R12_LAM,2080,M1,0.3375,???,1.25,coal,0.27
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+R12_LAM,2080,coal_i,NOx_Emission,R12_LAM,2080,M1,2.0873125,???,1.25,coal,1.6698499999999998
+R12_LAM,2080,coal_i,OCA_Emission,R12_LAM,2080,M1,0.000285,???,1.25,coal,0.00022799999999999999
+R12_LAM,2080,coal_i,SO2_Emission,R12_LAM,2080,M1,6.1723125,???,1.25,coal,4.93785
+R12_LAM,2080,coal_i,VOC_Emission,R12_LAM,2080,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2080,eth_i,BCA_Emission,R12_LAM,2080,M1,0.2952141176470588,???,1.1764705882352942,ethanol,0.250932
+R12_LAM,2080,eth_i,CO_Emission,R12_LAM,2080,M1,3.868564705882353,???,1.1764705882352942,ethanol,3.28828
+R12_LAM,2080,eth_i,NH3_Emission,R12_LAM,2080,M1,0.006817647058823529,???,1.1764705882352942,ethanol,0.005795
+R12_LAM,2080,eth_i,NOx_Emission,R12_LAM,2080,M1,7.822658823529412,???,1.1764705882352942,ethanol,6.64926
+R12_LAM,2080,eth_i,OCA_Emission,R12_LAM,2080,M1,0.13346470588235296,???,1.1764705882352942,ethanol,0.113445
+R12_LAM,2080,eth_i,VOC_Emission,R12_LAM,2080,M1,1.1557070588235294,???,1.1764705882352942,ethanol,0.982351
+R12_LAM,2080,foil_i,BCA_Emission,R12_LAM,2080,M1,0.2952141176470588,???,1.1764705882352942,fueloil,0.250932
+R12_LAM,2080,foil_i,CH4_Emission,R12_LAM,2080,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2080,foil_i,CO_Emission,R12_LAM,2080,M1,3.868564705882353,???,1.1764705882352942,fueloil,3.28828
+R12_LAM,2080,foil_i,N2O_Emission,R12_LAM,2080,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2080,foil_i,NH3_Emission,R12_LAM,2080,M1,0.006817647058823529,???,1.1764705882352942,fueloil,0.005795
+R12_LAM,2080,foil_i,NOx_Emission,R12_LAM,2080,M1,7.822658823529412,???,1.1764705882352942,fueloil,6.64926
+R12_LAM,2080,foil_i,OCA_Emission,R12_LAM,2080,M1,0.13346470588235296,???,1.1764705882352942,fueloil,0.113445
+R12_LAM,2080,foil_i,SO2_Emission,R12_LAM,2080,M1,1.5218823529411767,???,1.1764705882352942,fueloil,1.2936
+R12_LAM,2080,foil_i,VOC_Emission,R12_LAM,2080,M1,1.1557070588235294,???,1.1764705882352942,fueloil,0.982351
+R12_LAM,2080,gas_i,BCA_Emission,R12_LAM,2080,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2080,gas_i,CH4_Emission,R12_LAM,2080,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2080,gas_i,CO_Emission,R12_LAM,2080,M1,1.0494266666666667,???,1.1111111111111112,gas,0.944484
+R12_LAM,2080,gas_i,N2O_Emission,R12_LAM,2080,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2080,gas_i,NH3_Emission,R12_LAM,2080,M1,0.0037166666666666667,???,1.1111111111111112,gas,0.003345
+R12_LAM,2080,gas_i,NOx_Emission,R12_LAM,2080,M1,1.5181555555555557,???,1.1111111111111112,gas,1.36634
+R12_LAM,2080,gas_i,OCA_Emission,R12_LAM,2080,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2080,gas_i,SO2_Emission,R12_LAM,2080,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2080,gas_i,VOC_Emission,R12_LAM,2080,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
+R12_LAM,2080,loil_i,BCA_Emission,R12_LAM,2080,M1,0.2952141176470588,???,1.1764705882352942,lightoil,0.250932
+R12_LAM,2080,loil_i,CO_Emission,R12_LAM,2080,M1,3.868564705882353,???,1.1764705882352942,lightoil,3.28828
+R12_LAM,2080,loil_i,NH3_Emission,R12_LAM,2080,M1,0.006817647058823529,???,1.1764705882352942,lightoil,0.005795
+R12_LAM,2080,loil_i,NOx_Emission,R12_LAM,2080,M1,7.822658823529412,???,1.1764705882352942,lightoil,6.64926
+R12_LAM,2080,loil_i,OCA_Emission,R12_LAM,2080,M1,0.13346470588235296,???,1.1764705882352942,lightoil,0.113445
+R12_LAM,2080,loil_i,SO2_Emission,R12_LAM,2080,M1,1.5218823529411767,???,1.1764705882352942,lightoil,1.2936
+R12_LAM,2080,loil_i,VOC_Emission,R12_LAM,2080,M1,1.1557070588235294,???,1.1764705882352942,lightoil,0.982351
+R12_LAM,2090,biomass_i,BCA_Emission,R12_LAM,2090,M1,0.03202533333333333,???,1.3333333333333333,biomass,0.024019
+R12_LAM,2090,biomass_i,CH4_Emission,R12_LAM,2090,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2090,biomass_i,CO_Emission,R12_LAM,2090,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2090,biomass_i,N2O_Emission,R12_LAM,2090,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2090,biomass_i,NH3_Emission,R12_LAM,2090,M1,0.147168,???,1.3333333333333333,biomass,0.110376
+R12_LAM,2090,biomass_i,NOx_Emission,R12_LAM,2090,M1,3.4164,???,1.3333333333333333,biomass,2.5623
+R12_LAM,2090,biomass_i,OCA_Emission,R12_LAM,2090,M1,0.04247466666666667,???,1.3333333333333333,biomass,0.031856
+R12_LAM,2090,biomass_i,SO2_Emission,R12_LAM,2090,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2090,biomass_i,VOC_Emission,R12_LAM,2090,M1,2.40684,???,1.3333333333333333,biomass,1.80513
+R12_LAM,2090,coal_i,BCA_Emission,R12_LAM,2090,M1,0.00039875,???,1.25,coal,0.000319
+R12_LAM,2090,coal_i,CH4_Emission,R12_LAM,2090,M1,0.3375,???,1.25,coal,0.27
+R12_LAM,2090,coal_i,CO_Emission,R12_LAM,2090,M1,1.8630625,???,1.25,coal,1.49045
+R12_LAM,2090,coal_i,N2O_Emission,R12_LAM,2090,M1,0.04625,???,1.25,coal,0.037
+R12_LAM,2090,coal_i,NH3_Emission,R12_LAM,2090,M1,0.00030875,???,1.25,coal,0.000247
+R12_LAM,2090,coal_i,NOx_Emission,R12_LAM,2090,M1,1.8551875,???,1.25,coal,1.48415
+R12_LAM,2090,coal_i,OCA_Emission,R12_LAM,2090,M1,0.0002075,???,1.25,coal,0.000166
+R12_LAM,2090,coal_i,SO2_Emission,R12_LAM,2090,M1,5.2970749999999995,???,1.25,coal,4.23766
+R12_LAM,2090,coal_i,VOC_Emission,R12_LAM,2090,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2090,eth_i,BCA_Emission,R12_LAM,2090,M1,0.21704470588235297,???,1.1764705882352942,ethanol,0.184488
+R12_LAM,2090,eth_i,CO_Emission,R12_LAM,2090,M1,3.5612235294117647,???,1.1764705882352942,ethanol,3.02704
+R12_LAM,2090,eth_i,NH3_Emission,R12_LAM,2090,M1,0.006714117647058824,???,1.1764705882352942,ethanol,0.005707
+R12_LAM,2090,eth_i,NOx_Emission,R12_LAM,2090,M1,6.231835294117648,???,1.1764705882352942,ethanol,5.29706
+R12_LAM,2090,eth_i,OCA_Emission,R12_LAM,2090,M1,0.09793529411764706,???,1.1764705882352942,ethanol,0.083245
+R12_LAM,2090,eth_i,VOC_Emission,R12_LAM,2090,M1,0.9291470588235294,???,1.1764705882352942,ethanol,0.789775
+R12_LAM,2090,foil_i,BCA_Emission,R12_LAM,2090,M1,0.21704470588235297,???,1.1764705882352942,fueloil,0.184488
+R12_LAM,2090,foil_i,CH4_Emission,R12_LAM,2090,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2090,foil_i,CO_Emission,R12_LAM,2090,M1,3.5612235294117647,???,1.1764705882352942,fueloil,3.02704
+R12_LAM,2090,foil_i,N2O_Emission,R12_LAM,2090,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2090,foil_i,NH3_Emission,R12_LAM,2090,M1,0.006714117647058824,???,1.1764705882352942,fueloil,0.005707
+R12_LAM,2090,foil_i,NOx_Emission,R12_LAM,2090,M1,6.231835294117648,???,1.1764705882352942,fueloil,5.29706
+R12_LAM,2090,foil_i,OCA_Emission,R12_LAM,2090,M1,0.09793529411764706,???,1.1764705882352942,fueloil,0.083245
+R12_LAM,2090,foil_i,SO2_Emission,R12_LAM,2090,M1,1.2259529411764707,???,1.1764705882352942,fueloil,1.04206
+R12_LAM,2090,foil_i,VOC_Emission,R12_LAM,2090,M1,0.9291470588235294,???,1.1764705882352942,fueloil,0.789775
+R12_LAM,2090,gas_i,BCA_Emission,R12_LAM,2090,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2090,gas_i,CH4_Emission,R12_LAM,2090,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2090,gas_i,CO_Emission,R12_LAM,2090,M1,1.0405711111111111,???,1.1111111111111112,gas,0.936514
+R12_LAM,2090,gas_i,N2O_Emission,R12_LAM,2090,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2090,gas_i,NH3_Emission,R12_LAM,2090,M1,0.0035577777777777778,???,1.1111111111111112,gas,0.003202
+R12_LAM,2090,gas_i,NOx_Emission,R12_LAM,2090,M1,1.2651333333333334,???,1.1111111111111112,gas,1.13862
+R12_LAM,2090,gas_i,OCA_Emission,R12_LAM,2090,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2090,gas_i,SO2_Emission,R12_LAM,2090,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2090,gas_i,VOC_Emission,R12_LAM,2090,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
+R12_LAM,2090,loil_i,BCA_Emission,R12_LAM,2090,M1,0.21704470588235297,???,1.1764705882352942,lightoil,0.184488
+R12_LAM,2090,loil_i,CO_Emission,R12_LAM,2090,M1,3.5612235294117647,???,1.1764705882352942,lightoil,3.02704
+R12_LAM,2090,loil_i,NH3_Emission,R12_LAM,2090,M1,0.006714117647058824,???,1.1764705882352942,lightoil,0.005707
+R12_LAM,2090,loil_i,NOx_Emission,R12_LAM,2090,M1,6.231835294117648,???,1.1764705882352942,lightoil,5.29706
+R12_LAM,2090,loil_i,OCA_Emission,R12_LAM,2090,M1,0.09793529411764706,???,1.1764705882352942,lightoil,0.083245
+R12_LAM,2090,loil_i,SO2_Emission,R12_LAM,2090,M1,1.2259529411764707,???,1.1764705882352942,lightoil,1.04206
+R12_LAM,2090,loil_i,VOC_Emission,R12_LAM,2090,M1,0.9291470588235294,???,1.1764705882352942,lightoil,0.789775
+R12_LAM,2100,biomass_i,BCA_Emission,R12_LAM,2100,M1,0.019247999999999998,???,1.3333333333333333,biomass,0.014436
+R12_LAM,2100,biomass_i,CH4_Emission,R12_LAM,2100,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2100,biomass_i,CO_Emission,R12_LAM,2100,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2100,biomass_i,N2O_Emission,R12_LAM,2100,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2100,biomass_i,NH3_Emission,R12_LAM,2100,M1,0.13875866666666664,???,1.3333333333333333,biomass,0.10406899999999998
+R12_LAM,2100,biomass_i,NOx_Emission,R12_LAM,2100,M1,3.1430933333333333,???,1.3333333333333333,biomass,2.35732
+R12_LAM,2100,biomass_i,OCA_Emission,R12_LAM,2100,M1,0.02553333333333333,???,1.3333333333333333,biomass,0.01915
+R12_LAM,2100,biomass_i,SO2_Emission,R12_LAM,2100,M1,1.0512,???,1.3333333333333333,biomass,0.7884
+R12_LAM,2100,biomass_i,VOC_Emission,R12_LAM,2100,M1,2.40684,???,1.3333333333333333,biomass,1.80513
+R12_LAM,2100,coal_i,BCA_Emission,R12_LAM,2100,M1,0.00024625,???,1.25,coal,0.000197
+R12_LAM,2100,coal_i,CH4_Emission,R12_LAM,2100,M1,0.3375,???,1.25,coal,0.27
+R12_LAM,2100,coal_i,CO_Emission,R12_LAM,2100,M1,1.8606624999999999,???,1.25,coal,1.48853
+R12_LAM,2100,coal_i,N2O_Emission,R12_LAM,2100,M1,0.04625,???,1.25,coal,0.037
+R12_LAM,2100,coal_i,NH3_Emission,R12_LAM,2100,M1,0.00030875,???,1.25,coal,0.000247
+R12_LAM,2100,coal_i,NOx_Emission,R12_LAM,2100,M1,1.6230625,???,1.25,coal,1.29845
+R12_LAM,2100,coal_i,OCA_Emission,R12_LAM,2100,M1,0.00012874999999999999,???,1.25,coal,0.00010299999999999998
+R12_LAM,2100,coal_i,SO2_Emission,R12_LAM,2100,M1,4.42185,???,1.25,coal,3.53748
+R12_LAM,2100,coal_i,VOC_Emission,R12_LAM,2100,M1,0.30892625,???,1.25,coal,0.247141
+R12_LAM,2100,eth_i,BCA_Emission,R12_LAM,2100,M1,0.13887529411764707,???,1.1764705882352942,ethanol,0.11804400000000001
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+R12_LAM,2100,eth_i,NH3_Emission,R12_LAM,2100,M1,0.0066117647058823534,???,1.1764705882352942,ethanol,0.00562
+R12_LAM,2100,eth_i,NOx_Emission,R12_LAM,2100,M1,4.641011764705882,???,1.1764705882352942,ethanol,3.94486
+R12_LAM,2100,eth_i,OCA_Emission,R12_LAM,2100,M1,0.06240588235294118,???,1.1764705882352942,ethanol,0.053045
+R12_LAM,2100,eth_i,VOC_Emission,R12_LAM,2100,M1,0.7025870588235295,???,1.1764705882352942,ethanol,0.597199
+R12_LAM,2100,foil_i,BCA_Emission,R12_LAM,2100,M1,0.13887529411764707,???,1.1764705882352942,fueloil,0.11804400000000001
+R12_LAM,2100,foil_i,CH4_Emission,R12_LAM,2100,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_LAM,2100,foil_i,CO_Emission,R12_LAM,2100,M1,3.2538823529411767,???,1.1764705882352942,fueloil,2.7658
+R12_LAM,2100,foil_i,N2O_Emission,R12_LAM,2100,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_LAM,2100,foil_i,NH3_Emission,R12_LAM,2100,M1,0.0066117647058823534,???,1.1764705882352942,fueloil,0.00562
+R12_LAM,2100,foil_i,NOx_Emission,R12_LAM,2100,M1,4.641011764705882,???,1.1764705882352942,fueloil,3.94486
+R12_LAM,2100,foil_i,OCA_Emission,R12_LAM,2100,M1,0.06240588235294118,???,1.1764705882352942,fueloil,0.053045
+R12_LAM,2100,foil_i,SO2_Emission,R12_LAM,2100,M1,0.9300282352941177,???,1.1764705882352942,fueloil,0.790524
+R12_LAM,2100,foil_i,VOC_Emission,R12_LAM,2100,M1,0.7025870588235295,???,1.1764705882352942,fueloil,0.597199
+R12_LAM,2100,gas_i,BCA_Emission,R12_LAM,2100,M1,0.00021222222222222223,???,1.1111111111111112,gas,0.000191
+R12_LAM,2100,gas_i,CH4_Emission,R12_LAM,2100,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_LAM,2100,gas_i,CO_Emission,R12_LAM,2100,M1,1.0317155555555557,???,1.1111111111111112,gas,0.9285440000000001
+R12_LAM,2100,gas_i,N2O_Emission,R12_LAM,2100,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_LAM,2100,gas_i,NH3_Emission,R12_LAM,2100,M1,0.0034,???,1.1111111111111112,gas,0.00306
+R12_LAM,2100,gas_i,NOx_Emission,R12_LAM,2100,M1,1.0121055555555556,???,1.1111111111111112,gas,0.910895
+R12_LAM,2100,gas_i,OCA_Emission,R12_LAM,2100,M1,0.0023722222222222226,???,1.1111111111111112,gas,0.002135
+R12_LAM,2100,gas_i,SO2_Emission,R12_LAM,2100,M1,0.07270222222222222,???,1.1111111111111112,gas,0.065432
+R12_LAM,2100,gas_i,VOC_Emission,R12_LAM,2100,M1,0.06325666666666667,???,1.1111111111111112,gas,0.056931
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+R12_LAM,2100,loil_i,NH3_Emission,R12_LAM,2100,M1,0.0066117647058823534,???,1.1764705882352942,lightoil,0.00562
+R12_LAM,2100,loil_i,NOx_Emission,R12_LAM,2100,M1,4.641011764705882,???,1.1764705882352942,lightoil,3.94486
+R12_LAM,2100,loil_i,OCA_Emission,R12_LAM,2100,M1,0.06240588235294118,???,1.1764705882352942,lightoil,0.053045
+R12_LAM,2100,loil_i,SO2_Emission,R12_LAM,2100,M1,0.9300282352941177,???,1.1764705882352942,lightoil,0.790524
+R12_LAM,2100,loil_i,VOC_Emission,R12_LAM,2100,M1,0.7025870588235295,???,1.1764705882352942,lightoil,0.597199
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+R12_LAM,2110,biomass_i,CH4_Emission,R12_LAM,2110,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_LAM,2110,biomass_i,CO_Emission,R12_LAM,2110,M1,12.6144,???,1.3333333333333333,biomass,9.4608
+R12_LAM,2110,biomass_i,N2O_Emission,R12_LAM,2110,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_LAM,2110,biomass_i,NH3_Emission,R12_LAM,2110,M1,0.13875866666666664,???,1.3333333333333333,biomass,0.10406899999999998
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+R12_PAO,2035,foil_i,CO_Emission,R12_PAO,2035,M1,1.9556783430016362,???,1.2196935891715008,fueloil,1.603417743902439
+R12_PAO,2035,foil_i,N2O_Emission,R12_PAO,2035,M1,0.014636323070058011,???,1.2196935891715008,fueloil,0.012
+R12_PAO,2035,foil_i,NH3_Emission,R12_PAO,2035,M1,0.0078535847092072,???,1.2196935891715008,fueloil,0.006438981707317074
+R12_PAO,2035,foil_i,NOx_Emission,R12_PAO,2035,M1,10.914733972928751,???,1.2196935891715008,fueloil,8.948750792682926
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+R12_PAO,2035,foil_i,SO2_Emission,R12_PAO,2035,M1,1.3965498289454112,???,1.2196935891715008,fueloil,1.1450005487804877
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+R12_PAO,2035,gas_i,BCA_Emission,R12_PAO,2035,M1,0.00022301797040169134,???,1.1495771670190276,gas,0.000194
+R12_PAO,2035,gas_i,CH4_Emission,R12_PAO,2035,M1,0.14944503171247359,???,1.1495771670190276,gas,0.13
+R12_PAO,2035,gas_i,CO_Emission,R12_PAO,2035,M1,0.5933898916490487,???,1.1495771670190276,gas,0.516181
+R12_PAO,2035,gas_i,N2O_Emission,R12_PAO,2035,M1,0.013794926004228332,???,1.1495771670190276,gas,0.012
+R12_PAO,2035,gas_i,NH3_Emission,R12_PAO,2035,M1,0.006918525369978858,???,1.1495771670190276,gas,0.00601832183908046
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+R12_PAO,2035,loil_i,BCA_Emission,R12_PAO,2035,M1,0.3531909341067976,???,1.2196935891715008,lightoil,0.289573493902439
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+R12_PAO,2035,loil_i,NH3_Emission,R12_PAO,2035,M1,0.0078535847092072,???,1.2196935891715008,lightoil,0.006438981707317074
+R12_PAO,2035,loil_i,NOx_Emission,R12_PAO,2035,M1,10.914733972928751,???,1.2196935891715008,lightoil,8.948750792682926
+R12_PAO,2035,loil_i,OCA_Emission,R12_PAO,2035,M1,0.1597955451435371,???,1.2196935891715008,lightoil,0.13101285975609755
+R12_PAO,2035,loil_i,SO2_Emission,R12_PAO,2035,M1,1.3965498289454112,???,1.2196935891715008,lightoil,1.1450005487804877
+R12_PAO,2035,loil_i,VOC_Emission,R12_PAO,2035,M1,1.7512924289751597,???,1.2196935891715008,lightoil,1.4358462195121948
+R12_PAO,2040,biomass_i,BCA_Emission,R12_PAO,2040,M1,0.01583150684931507,???,1.36986301369863,biomass,0.011557000000000001
+R12_PAO,2040,biomass_i,CH4_Emission,R12_PAO,2040,M1,1.095890410958904,???,1.36986301369863,biomass,0.8
+R12_PAO,2040,biomass_i,CO_Emission,R12_PAO,2040,M1,5.200917808219178,???,1.36986301369863,biomass,3.79667
+R12_PAO,2040,biomass_i,N2O_Emission,R12_PAO,2040,M1,0.136986301369863,???,1.36986301369863,biomass,0.1
+R12_PAO,2040,biomass_i,NH3_Emission,R12_PAO,2040,M1,0.19336164383561644,???,1.36986301369863,biomass,0.141154
+R12_PAO,2040,biomass_i,NOx_Emission,R12_PAO,2040,M1,5.045191780821918,???,1.36986301369863,biomass,3.6829900000000007
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+R12_PAO,2040,biomass_i,SO2_Emission,R12_PAO,2040,M1,2.141506849315068,???,1.36986301369863,biomass,1.5633
+R12_PAO,2040,biomass_i,VOC_Emission,R12_PAO,2040,M1,2.1235616438356164,???,1.36986301369863,biomass,1.5502
+R12_PAO,2040,coal_i,BCA_Emission,R12_PAO,2040,M1,0.0008363636363636364,???,1.2987012987012987,coal,0.000644
+R12_PAO,2040,coal_i,CH4_Emission,R12_PAO,2040,M1,0.35064935064935066,???,1.2987012987012987,coal,0.27
+R12_PAO,2040,coal_i,CO_Emission,R12_PAO,2040,M1,1.7310129870129871,???,1.2987012987012987,coal,1.33288
+R12_PAO,2040,coal_i,N2O_Emission,R12_PAO,2040,M1,0.04805194805194805,???,1.2987012987012987,coal,0.037
+R12_PAO,2040,coal_i,NH3_Emission,R12_PAO,2040,M1,0.004306493506493507,???,1.2987012987012987,coal,0.003316
+R12_PAO,2040,coal_i,NOx_Emission,R12_PAO,2040,M1,2.0495064935064935,???,1.2987012987012987,coal,1.57812
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+R12_PAO,2040,eth_i,CO_Emission,R12_PAO,2040,M1,1.91555421686747,???,1.2048192771084338,ethanol,1.58991
+R12_PAO,2040,eth_i,NH3_Emission,R12_PAO,2040,M1,0.007709638554216868,???,1.2048192771084338,ethanol,0.006399
+R12_PAO,2040,eth_i,NOx_Emission,R12_PAO,2040,M1,9.905048192771085,???,1.2048192771084338,ethanol,8.22119
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+R12_PAO,2040,foil_i,BCA_Emission,R12_PAO,2040,M1,0.31668433734939766,???,1.2048192771084338,fueloil,0.262848
+R12_PAO,2040,foil_i,CH4_Emission,R12_PAO,2040,M1,0.6506024096385543,???,1.2048192771084338,fueloil,0.54
+R12_PAO,2040,foil_i,CO_Emission,R12_PAO,2040,M1,1.91555421686747,???,1.2048192771084338,fueloil,1.58991
+R12_PAO,2040,foil_i,N2O_Emission,R12_PAO,2040,M1,0.014457831325301207,???,1.2048192771084338,fueloil,0.012
+R12_PAO,2040,foil_i,NH3_Emission,R12_PAO,2040,M1,0.007709638554216868,???,1.2048192771084338,fueloil,0.006399
+R12_PAO,2040,foil_i,NOx_Emission,R12_PAO,2040,M1,9.905048192771085,???,1.2048192771084338,fueloil,8.22119
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+R12_PAO,2040,loil_i,CO_Emission,R12_PAO,2040,M1,1.91555421686747,???,1.2048192771084338,lightoil,1.58991
+R12_PAO,2040,loil_i,NH3_Emission,R12_PAO,2040,M1,0.007709638554216868,???,1.2048192771084338,lightoil,0.006399
+R12_PAO,2040,loil_i,NOx_Emission,R12_PAO,2040,M1,9.905048192771085,???,1.2048192771084338,lightoil,8.22119
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+R12_PAO,2040,loil_i,SO2_Emission,R12_PAO,2040,M1,1.2929638554216867,???,1.2048192771084338,lightoil,1.07316
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+R12_PAO,2045,biomass_i,BCA_Emission,R12_PAO,2045,M1,0.014084420091324202,???,1.3515981735159817,biomass,0.01042056756756757
+R12_PAO,2045,biomass_i,CH4_Emission,R12_PAO,2045,M1,1.0812785388127852,???,1.3515981735159817,biomass,0.7999999999999999
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+R12_PAO,2045,coal_i,CH4_Emission,R12_PAO,2045,M1,0.34407467532467534,???,1.2743506493506493,coal,0.27
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+R12_PAO,2045,foil_i,CH4_Emission,R12_PAO,2045,M1,0.6429482636428066,???,1.190644932671864,fueloil,0.54
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+R12_PAS,2020,coal_i,VOC_Emission,R12_PAS,2020,M1,0.31985161290322583,???,1.6129032258064517,coal,0.198308
+R12_PAS,2020,eth_i,BCA_Emission,R12_PAS,2020,M1,0.7437544303797468,???,1.2658227848101264,ethanol,0.587566
+R12_PAS,2020,eth_i,CO_Emission,R12_PAS,2020,M1,5.221113924050632,???,1.2658227848101264,ethanol,4.12468
+R12_PAS,2020,eth_i,NH3_Emission,R12_PAS,2020,M1,0.007192405063291139,???,1.2658227848101264,ethanol,0.005682
+R12_PAS,2020,eth_i,NOx_Emission,R12_PAS,2020,M1,15.16379746835443,???,1.2658227848101264,ethanol,11.9794
+R12_PAS,2020,eth_i,OCA_Emission,R12_PAS,2020,M1,0.337279746835443,???,1.2658227848101264,ethanol,0.266451
+R12_PAS,2020,eth_i,VOC_Emission,R12_PAS,2020,M1,2.259670886075949,???,1.2658227848101264,ethanol,1.7851399999999997
+R12_PAS,2020,foil_i,BCA_Emission,R12_PAS,2020,M1,0.8769641791044775,???,1.4925373134328357,fueloil,0.587566
+R12_PAS,2020,foil_i,CH4_Emission,R12_PAS,2020,M1,0.8059701492537313,???,1.4925373134328357,fueloil,0.54
+R12_PAS,2020,foil_i,CO_Emission,R12_PAS,2020,M1,6.1562388059701485,???,1.4925373134328357,fueloil,4.12468
+R12_PAS,2020,foil_i,N2O_Emission,R12_PAS,2020,M1,0.017910447761194027,???,1.4925373134328357,fueloil,0.012
+R12_PAS,2020,foil_i,NH3_Emission,R12_PAS,2020,M1,0.008480597014925373,???,1.4925373134328357,fueloil,0.005682
+R12_PAS,2020,foil_i,NOx_Emission,R12_PAS,2020,M1,17.87970149253731,???,1.4925373134328357,fueloil,11.9794
+R12_PAS,2020,foil_i,OCA_Emission,R12_PAS,2020,M1,0.3976880597014925,???,1.4925373134328357,fueloil,0.266451
+R12_PAS,2020,foil_i,SO2_Emission,R12_PAS,2020,M1,3.186597014925373,???,1.4925373134328357,fueloil,2.13502
+R12_PAS,2020,foil_i,VOC_Emission,R12_PAS,2020,M1,2.6643880597014924,???,1.4925373134328357,fueloil,1.7851400000000002
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+R12_PAS,2020,loil_i,CO_Emission,R12_PAS,2020,M1,6.1562388059701485,???,1.4925373134328357,lightoil,4.12468
+R12_PAS,2020,loil_i,NH3_Emission,R12_PAS,2020,M1,0.008480597014925373,???,1.4925373134328357,lightoil,0.005682
+R12_PAS,2020,loil_i,NOx_Emission,R12_PAS,2020,M1,17.87970149253731,???,1.4925373134328357,lightoil,11.9794
+R12_PAS,2020,loil_i,OCA_Emission,R12_PAS,2020,M1,0.3976880597014925,???,1.4925373134328357,lightoil,0.266451
+R12_PAS,2020,loil_i,SO2_Emission,R12_PAS,2020,M1,3.186597014925373,???,1.4925373134328357,lightoil,2.13502
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+R12_PAS,2025,coal_i,NOx_Emission,R12_PAS,2025,M1,5.927131878557875,???,1.5417457305502846,coal,3.844428923076923
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+R12_PAS,2025,eth_i,BCA_Emission,R12_PAS,2025,M1,0.7345722769182684,???,1.2501953430223471,ethanol,0.587566
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+R12_PAS,2025,eth_i,NH3_Emission,R12_PAS,2025,M1,0.007103609939052976,???,1.2501953430223471,ethanol,0.0056819999999999996
+R12_PAS,2025,eth_i,NOx_Emission,R12_PAS,2025,M1,14.976590092201906,???,1.2501953430223471,ethanol,11.9794
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+R12_PAS,2025,gas_i,SO2_Emission,R12_PAS,2025,M1,0.18888429166666668,???,1.2916666666666665,gas,0.14623300000000003
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+R12_PAS,2025,loil_i,CO_Emission,R12_PAS,2025,M1,5.903242690656307,???,1.431200163565733,lightoil,4.12468
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+R12_PAS,2025,loil_i,NOx_Emission,R12_PAS,2025,M1,17.144919239419337,???,1.431200163565733,lightoil,11.979399999999996
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+R12_PAS,2030,biomass_i,BCA_Emission,R12_PAS,2030,M1,0.24128153846153844,???,1.5384615384615383,biomass,0.156833
+R12_PAS,2030,biomass_i,CH4_Emission,R12_PAS,2030,M1,1.2307692307692308,???,1.5384615384615383,biomass,0.8000000000000002
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+R12_PAS,2030,biomass_i,NOx_Emission,R12_PAS,2030,M1,6.3072,???,1.5384615384615383,biomass,4.09968
+R12_PAS,2030,biomass_i,OCA_Emission,R12_PAS,2030,M1,0.34362461538461536,???,1.5384615384615383,biomass,0.223356
+R12_PAS,2030,biomass_i,SO2_Emission,R12_PAS,2030,M1,3.4685384615384613,???,1.5384615384615383,biomass,2.25455
+R12_PAS,2030,biomass_i,VOC_Emission,R12_PAS,2030,M1,2.402107692307692,???,1.5384615384615383,biomass,1.56137
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+R12_PAS,2030,coal_i,CO_Emission,R12_PAS,2030,M1,0.9767867647058823,???,1.4705882352941175,coal,0.664215
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+R12_PAS,2030,eth_i,NOx_Emission,R12_PAS,2030,M1,14.789382716049381,???,1.2345679012345678,ethanol,11.9794
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+R12_PAS,2030,foil_i,NOx_Emission,R12_PAS,2030,M1,16.410136986301367,???,1.36986301369863,fueloil,11.979399999999998
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+R12_PAS,2030,loil_i,SO2_Emission,R12_PAS,2030,M1,2.924684931506849,???,1.36986301369863,lightoil,2.13502
+R12_PAS,2030,loil_i,VOC_Emission,R12_PAS,2030,M1,2.4453972602739724,???,1.36986301369863,lightoil,1.78514
+R12_PAS,2035,biomass_i,BCA_Emission,R12_PAS,2035,M1,0.2130679120879121,???,1.4835164835164836,biomass,0.14362355555555556
+R12_PAS,2035,biomass_i,CH4_Emission,R12_PAS,2035,M1,1.186813186813187,???,1.4835164835164836,biomass,0.8000000000000002
+R12_PAS,2035,biomass_i,CO_Emission,R12_PAS,2035,M1,13.14180769230769,???,1.4835164835164836,biomass,8.85855185185185
+R12_PAS,2035,biomass_i,N2O_Emission,R12_PAS,2035,M1,0.14835164835164838,???,1.4835164835164836,biomass,0.10000000000000002
+R12_PAS,2035,biomass_i,NH3_Emission,R12_PAS,2035,M1,0.21523510989010988,???,1.4835164835164836,biomass,0.14508440740740738
+R12_PAS,2035,biomass_i,NOx_Emission,R12_PAS,2035,M1,5.815192857142858,???,1.4835164835164836,biomass,3.919870740740741
+R12_PAS,2035,biomass_i,OCA_Emission,R12_PAS,2035,M1,0.3034444505494506,???,1.4835164835164836,biomass,0.20454403703703705
+R12_PAS,2035,biomass_i,SO2_Emission,R12_PAS,2035,M1,3.3074120879120876,???,1.4835164835164836,biomass,2.2294407407407406
+R12_PAS,2035,biomass_i,VOC_Emission,R12_PAS,2035,M1,2.3163181318681314,???,1.4835164835164836,biomass,1.5613699999999997
+R12_PAS,2035,coal_i,BCA_Emission,R12_PAS,2035,M1,0.01710926073131955,???,1.4109697933227343,coal,0.01212588732394366
+R12_PAS,2035,coal_i,CH4_Emission,R12_PAS,2035,M1,0.3809618441971383,???,1.4109697933227343,coal,0.27
+R12_PAS,2035,coal_i,CO_Emission,R12_PAS,2035,M1,0.9311454093799681,???,1.4109697933227343,coal,0.6599329154929579
+R12_PAS,2035,coal_i,N2O_Emission,R12_PAS,2035,M1,0.05220588235294117,???,1.4109697933227343,coal,0.037
+R12_PAS,2035,coal_i,NH3_Emission,R12_PAS,2035,M1,0.00027513910969793323,???,1.4109697933227343,coal,0.00019500000000000002
+R12_PAS,2035,coal_i,NOx_Emission,R12_PAS,2035,M1,4.797754372019078,???,1.4109697933227343,coal,3.4003239436619723
+R12_PAS,2035,coal_i,OCA_Emission,R12_PAS,2035,M1,0.010069038155802863,???,1.4109697933227343,coal,0.007136253521126762
+R12_PAS,2035,coal_i,SO2_Emission,R12_PAS,2035,M1,9.002318958664546,???,1.4109697933227343,coal,6.380235070422535
+R12_PAS,2035,coal_i,VOC_Emission,R12_PAS,2035,M1,0.27440258346581875,???,1.4109697933227343,coal,0.194478
+R12_PAS,2035,eth_i,BCA_Emission,R12_PAS,2035,M1,0.6578769894392384,???,1.2196935891715008,ethanol,0.5393789024390244
+R12_PAS,2035,eth_i,CO_Emission,R12_PAS,2035,M1,4.82527346422728,???,1.2196935891715008,ethanol,3.956135792682927
+R12_PAS,2035,eth_i,NH3_Emission,R12_PAS,2035,M1,0.0068543953592146364,???,1.2196935891715008,ethanol,0.005619768292682927
+R12_PAS,2035,eth_i,NOx_Emission,R12_PAS,2035,M1,13.498847984530716,???,1.2196935891715008,ethanol,11.067409146341463
+R12_PAS,2035,eth_i,OCA_Emission,R12_PAS,2035,M1,0.2982747211066488,???,1.2196935891715008,ethanol,0.2445488963414634
+R12_PAS,2035,eth_i,VOC_Emission,R12_PAS,2035,M1,2.0218539342555406,???,1.2196935891715008,ethanol,1.6576736585365852
+R12_PAS,2035,foil_i,BCA_Emission,R12_PAS,2035,M1,0.7125703138546904,???,1.3178428992543783,fueloil,0.5407096052631578
+R12_PAS,2035,foil_i,CH4_Emission,R12_PAS,2035,M1,0.7116351655973643,???,1.3178428992543783,fueloil,0.54
+R12_PAS,2035,foil_i,CO_Emission,R12_PAS,2035,M1,5.219699237038321,???,1.3178428992543783,fueloil,3.960790197368421
+R12_PAS,2035,foil_i,N2O_Emission,R12_PAS,2035,M1,0.01581411479105254,???,1.3178428992543783,fueloil,0.012
+R12_PAS,2035,foil_i,NH3_Emission,R12_PAS,2035,M1,0.0074082365181203395,???,1.3178428992543783,fueloil,0.005621486842105263
+R12_PAS,2035,foil_i,NOx_Emission,R12_PAS,2035,M1,14.618296341251948,???,1.3178428992543783,fueloil,11.092594078947368
+R12_PAS,2035,foil_i,OCA_Emission,R12_PAS,2035,M1,0.32307410265302583,???,1.3178428992543783,fueloil,0.2451537302631579
+R12_PAS,2035,foil_i,SO2_Emission,R12_PAS,2035,M1,2.622443731576209,???,1.3178428992543783,fueloil,1.9899517105263156
+R12_PAS,2035,foil_i,VOC_Emission,R12_PAS,2035,M1,2.189192301023062,???,1.3178428992543783,fueloil,1.6611936842105262
+R12_PAS,2035,gas_i,BCA_Emission,R12_PAS,2035,M1,0.0002523529411764706,???,1.2132352941176472,gas,0.000208
+R12_PAS,2035,gas_i,CH4_Emission,R12_PAS,2035,M1,0.1577205882352941,???,1.2132352941176472,gas,0.12999999999999998
+R12_PAS,2035,gas_i,CO_Emission,R12_PAS,2035,M1,1.3100125,???,1.2132352941176472,gas,1.0797678787878786
+R12_PAS,2035,gas_i,N2O_Emission,R12_PAS,2035,M1,0.0024264705882352943,???,1.2132352941176472,gas,0.002
+R12_PAS,2035,gas_i,NH3_Emission,R12_PAS,2035,M1,0.004976507352941176,???,1.2132352941176472,gas,0.004101848484848484
+R12_PAS,2035,gas_i,NOx_Emission,R12_PAS,2035,M1,2.090436029411765,???,1.2132352941176472,gas,1.7230260606060606
+R12_PAS,2035,gas_i,OCA_Emission,R12_PAS,2035,M1,0.0028244117647058826,???,1.2132352941176472,gas,0.0023279999999999998
+R12_PAS,2035,gas_i,SO2_Emission,R12_PAS,2035,M1,0.17741503676470588,???,1.2132352941176472,gas,0.14623299999999997
+R12_PAS,2035,gas_i,VOC_Emission,R12_PAS,2035,M1,0.0753297794117647,???,1.2132352941176472,gas,0.06208999999999999
+R12_PAS,2035,loil_i,BCA_Emission,R12_PAS,2035,M1,0.7125703138546904,???,1.3178428992543783,lightoil,0.5407096052631578
+R12_PAS,2035,loil_i,CO_Emission,R12_PAS,2035,M1,5.219699237038321,???,1.3178428992543783,lightoil,3.960790197368421
+R12_PAS,2035,loil_i,NH3_Emission,R12_PAS,2035,M1,0.0074082365181203395,???,1.3178428992543783,lightoil,0.005621486842105263
+R12_PAS,2035,loil_i,NOx_Emission,R12_PAS,2035,M1,14.618296341251948,???,1.3178428992543783,lightoil,11.092594078947368
+R12_PAS,2035,loil_i,OCA_Emission,R12_PAS,2035,M1,0.32307410265302583,???,1.3178428992543783,lightoil,0.2451537302631579
+R12_PAS,2035,loil_i,SO2_Emission,R12_PAS,2035,M1,2.622443731576209,???,1.3178428992543783,lightoil,1.9899517105263156
+R12_PAS,2035,loil_i,VOC_Emission,R12_PAS,2035,M1,2.189192301023062,???,1.3178428992543783,lightoil,1.6611936842105262
+R12_PAS,2040,biomass_i,BCA_Emission,R12_PAS,2040,M1,0.18485428571428575,???,1.4285714285714286,biomass,0.129398
+R12_PAS,2040,biomass_i,CH4_Emission,R12_PAS,2040,M1,1.142857142857143,???,1.4285714285714286,biomass,0.8
+R12_PAS,2040,biomass_i,CO_Emission,R12_PAS,2040,M1,12.654599999999999,???,1.4285714285714286,biomass,8.85822
+R12_PAS,2040,biomass_i,N2O_Emission,R12_PAS,2040,M1,0.14285714285714288,???,1.4285714285714286,biomass,0.1
+R12_PAS,2040,biomass_i,NH3_Emission,R12_PAS,2040,M1,0.19950714285714286,???,1.4285714285714286,biomass,0.139655
+R12_PAS,2040,biomass_i,NOx_Emission,R12_PAS,2040,M1,5.323185714285715,???,1.4285714285714286,biomass,3.72623
+R12_PAS,2040,biomass_i,OCA_Emission,R12_PAS,2040,M1,0.26326428571428573,???,1.4285714285714286,biomass,0.184285
+R12_PAS,2040,biomass_i,SO2_Emission,R12_PAS,2040,M1,3.1462857142857144,???,1.4285714285714286,biomass,2.2024
+R12_PAS,2040,biomass_i,VOC_Emission,R12_PAS,2040,M1,2.230528571428571,???,1.4285714285714286,biomass,1.5613699999999997
+R12_PAS,2040,coal_i,BCA_Emission,R12_PAS,2040,M1,0.014756756756756756,???,1.3513513513513513,coal,0.01092
+R12_PAS,2040,coal_i,CH4_Emission,R12_PAS,2040,M1,0.36486486486486486,???,1.3513513513513513,coal,0.27
+R12_PAS,2040,coal_i,CO_Emission,R12_PAS,2040,M1,0.885504054054054,???,1.3513513513513513,coal,0.655273
+R12_PAS,2040,coal_i,N2O_Emission,R12_PAS,2040,M1,0.049999999999999996,???,1.3513513513513513,coal,0.037
+R12_PAS,2040,coal_i,NH3_Emission,R12_PAS,2040,M1,0.0002635135135135135,???,1.3513513513513513,coal,0.000195
+R12_PAS,2040,coal_i,NOx_Emission,R12_PAS,2040,M1,4.255567567567567,???,1.3513513513513513,coal,3.14912
+R12_PAS,2040,coal_i,OCA_Emission,R12_PAS,2040,M1,0.008685135135135136,???,1.3513513513513513,coal,0.006427
+R12_PAS,2040,coal_i,SO2_Emission,R12_PAS,2040,M1,7.919770270270269,???,1.3513513513513513,coal,5.86063
+R12_PAS,2040,coal_i,VOC_Emission,R12_PAS,2040,M1,0.2628081081081081,???,1.3513513513513513,coal,0.194478
+R12_PAS,2040,eth_i,BCA_Emission,R12_PAS,2040,M1,0.5903638554216868,???,1.2048192771084338,ethanol,0.490002
+R12_PAS,2040,eth_i,CO_Emission,R12_PAS,2040,M1,4.558349397590362,???,1.2048192771084338,ethanol,3.78343
+R12_PAS,2040,eth_i,NH3_Emission,R12_PAS,2040,M1,0.006693975903614459,???,1.2048192771084338,ethanol,0.005556
+R12_PAS,2040,eth_i,NOx_Emission,R12_PAS,2040,M1,12.208313253012049,???,1.2048192771084338,ethanol,10.1329
+R12_PAS,2040,eth_i,OCA_Emission,R12_PAS,2040,M1,0.2675975903614458,???,1.2048192771084338,ethanol,0.222106
+R12_PAS,2040,eth_i,VOC_Emission,R12_PAS,2040,M1,1.839831325301205,???,1.2048192771084338,ethanol,1.52706
+R12_PAS,2040,foil_i,BCA_Emission,R12_PAS,2040,M1,0.6202556962025315,???,1.2658227848101264,fueloil,0.49000199999999994
+R12_PAS,2040,foil_i,CH4_Emission,R12_PAS,2040,M1,0.6835443037974683,???,1.2658227848101264,fueloil,0.54
+R12_PAS,2040,foil_i,CO_Emission,R12_PAS,2040,M1,4.789151898734176,???,1.2658227848101264,fueloil,3.7834299999999996
+R12_PAS,2040,foil_i,N2O_Emission,R12_PAS,2040,M1,0.015189873417721518,???,1.2658227848101264,fueloil,0.012
+R12_PAS,2040,foil_i,NH3_Emission,R12_PAS,2040,M1,0.007032911392405063,???,1.2658227848101264,fueloil,0.005556
+R12_PAS,2040,foil_i,NOx_Emission,R12_PAS,2040,M1,12.82645569620253,???,1.2658227848101264,fueloil,10.1329
+R12_PAS,2040,foil_i,OCA_Emission,R12_PAS,2040,M1,0.2811468354430379,???,1.2658227848101264,fueloil,0.22210599999999997
+R12_PAS,2040,foil_i,SO2_Emission,R12_PAS,2040,M1,2.3202025316455694,???,1.2658227848101264,fueloil,1.8329600000000001
+R12_PAS,2040,foil_i,VOC_Emission,R12_PAS,2040,M1,1.9329873417721517,???,1.2658227848101264,fueloil,1.52706
+R12_PAS,2040,gas_i,BCA_Emission,R12_PAS,2040,M1,0.00024470588235294116,???,1.1764705882352942,gas,0.000208
+R12_PAS,2040,gas_i,CH4_Emission,R12_PAS,2040,M1,0.15294117647058825,???,1.1764705882352942,gas,0.13
+R12_PAS,2040,gas_i,CO_Emission,R12_PAS,2040,M1,1.2618,???,1.1764705882352942,gas,1.07253
+R12_PAS,2040,gas_i,N2O_Emission,R12_PAS,2040,M1,0.0023529411764705885,???,1.1764705882352942,gas,0.002
+R12_PAS,2040,gas_i,NH3_Emission,R12_PAS,2040,M1,0.004711764705882353,???,1.1764705882352942,gas,0.004005
+R12_PAS,2040,gas_i,NOx_Emission,R12_PAS,2040,M1,1.8780470588235296,???,1.1764705882352942,gas,1.59634
+R12_PAS,2040,gas_i,OCA_Emission,R12_PAS,2040,M1,0.002738823529411765,???,1.1764705882352942,gas,0.002328
+R12_PAS,2040,gas_i,SO2_Emission,R12_PAS,2040,M1,0.17203882352941177,???,1.1764705882352942,gas,0.146233
+R12_PAS,2040,gas_i,VOC_Emission,R12_PAS,2040,M1,0.07304705882352941,???,1.1764705882352942,gas,0.06209
+R12_PAS,2040,loil_i,BCA_Emission,R12_PAS,2040,M1,0.6202556962025315,???,1.2658227848101264,lightoil,0.49000199999999994
+R12_PAS,2040,loil_i,CO_Emission,R12_PAS,2040,M1,4.789151898734176,???,1.2658227848101264,lightoil,3.7834299999999996
+R12_PAS,2040,loil_i,NH3_Emission,R12_PAS,2040,M1,0.007032911392405063,???,1.2658227848101264,lightoil,0.005556
+R12_PAS,2040,loil_i,NOx_Emission,R12_PAS,2040,M1,12.82645569620253,???,1.2658227848101264,lightoil,10.1329
+R12_PAS,2040,loil_i,OCA_Emission,R12_PAS,2040,M1,0.2811468354430379,???,1.2658227848101264,lightoil,0.22210599999999997
+R12_PAS,2040,loil_i,SO2_Emission,R12_PAS,2040,M1,2.3202025316455694,???,1.2658227848101264,lightoil,1.8329600000000001
+R12_PAS,2040,loil_i,VOC_Emission,R12_PAS,2040,M1,1.9329873417721517,???,1.2658227848101264,lightoil,1.52706
+R12_PAS,2045,biomass_i,BCA_Emission,R12_PAS,2045,M1,0.1604024761904762,???,1.380952380952381,biomass,0.11615351724137932
+R12_PAS,2045,biomass_i,CH4_Emission,R12_PAS,2045,M1,1.1047619047619048,???,1.380952380952381,biomass,0.8
+R12_PAS,2045,biomass_i,CO_Emission,R12_PAS,2045,M1,12.232353333333332,???,1.380952380952381,biomass,8.857911034482758
+R12_PAS,2045,biomass_i,N2O_Emission,R12_PAS,2045,M1,0.1380952380952381,???,1.380952380952381,biomass,0.1
+R12_PAS,2045,biomass_i,NH3_Emission,R12_PAS,2045,M1,0.18587623809523807,???,1.380952380952381,biomass,0.1346000344827586
+R12_PAS,2045,biomass_i,NOx_Emission,R12_PAS,2045,M1,4.896779523809524,???,1.380952380952381,biomass,3.5459437931034485
+R12_PAS,2045,biomass_i,OCA_Emission,R12_PAS,2045,M1,0.22844080952380952,???,1.380952380952381,biomass,0.16542265517241378
+R12_PAS,2045,biomass_i,SO2_Emission,R12_PAS,2045,M1,3.0066361904761907,???,1.380952380952381,biomass,2.1772193103448276
+R12_PAS,2045,biomass_i,VOC_Emission,R12_PAS,2045,M1,2.156177619047619,???,1.380952380952381,biomass,1.56137
+R12_PAS,2045,coal_i,BCA_Emission,R12_PAS,2045,M1,0.012756503378378378,???,1.3006756756756757,coal,0.009807597402597403
+R12_PAS,2045,coal_i,CH4_Emission,R12_PAS,2045,M1,0.3511824324324324,???,1.3006756756756757,coal,0.26999999999999996
+R12_PAS,2045,coal_i,CO_Emission,R12_PAS,2045,M1,0.846708902027027,???,1.3006756756756757,coal,0.6509761948051948
+R12_PAS,2045,coal_i,N2O_Emission,R12_PAS,2045,M1,0.048125,???,1.3006756756756757,coal,0.037
+R12_PAS,2045,coal_i,NH3_Emission,R12_PAS,2045,M1,0.0002530067567567567,???,1.3006756756756757,coal,0.0001945194805194805
+R12_PAS,2045,coal_i,NOx_Emission,R12_PAS,2045,M1,3.7947025337837834,???,1.3006756756756757,coal,2.917485584415584
+R12_PAS,2045,coal_i,OCA_Emission,R12_PAS,2045,M1,0.007509442567567568,???,1.3006756756756757,coal,0.005773493506493507
+R12_PAS,2045,coal_i,SO2_Emission,R12_PAS,2045,M1,6.9996038851351345,???,1.3006756756756757,coal,5.3815136363636356
+R12_PAS,2045,coal_i,VOC_Emission,R12_PAS,2045,M1,0.25295280405405407,???,1.3006756756756757,coal,0.194478
+R12_PAS,2045,eth_i,BCA_Emission,R12_PAS,2045,M1,0.5260272218284905,???,1.190644932671864,ethanol,0.4418002440476191
+R12_PAS,2045,eth_i,CO_Emission,R12_PAS,2045,M1,4.303980581148123,???,1.190644932671864,ethanol,3.61483130952381
+R12_PAS,2045,eth_i,NH3_Emission,R12_PAS,2045,M1,0.006541693834160171,???,1.190644932671864,ethanol,0.005494244047619048
+R12_PAS,2045,eth_i,NOx_Emission,R12_PAS,2045,M1,10.978574273564849,???,1.190644932671864,ethanol,9.220695416666667
+R12_PAS,2045,eth_i,OCA_Emission,R12_PAS,2045,M1,0.23836467753366408,???,1.190644932671864,ethanol,0.2001979523809524
+R12_PAS,2045,eth_i,VOC_Emission,R12_PAS,2045,M1,1.6663744861800143,???,1.190644932671864,ethanol,1.3995561904761904
+R12_PAS,2045,foil_i,BCA_Emission,R12_PAS,2045,M1,0.5409731422189128,???,1.2211466865227103,fueloil,0.44300422560975605
+R12_PAS,2045,foil_i,CH4_Emission,R12_PAS,2045,M1,0.6594192107222636,???,1.2211466865227103,fueloil,0.54
+R12_PAS,2045,foil_i,CO_Emission,R12_PAS,2045,M1,4.419381831720029,???,1.2211466865227103,fueloil,3.6190425609756094
+R12_PAS,2045,foil_i,N2O_Emission,R12_PAS,2045,M1,0.014653760238272525,???,1.2211466865227103,fueloil,0.012000000000000002
+R12_PAS,2045,foil_i,NH3_Emission,R12_PAS,2045,M1,0.006711161578555473,???,1.2211466865227103,fueloil,0.005495786585365854
+R12_PAS,2045,foil_i,NOx_Emission,R12_PAS,2045,M1,11.287645495160088,???,1.2211466865227103,fueloil,9.243480426829269
+R12_PAS,2045,foil_i,OCA_Emission,R12_PAS,2045,M1,0.24513930007446014,???,1.2211466865227103,fueloil,0.2007451707317073
+R12_PAS,2045,foil_i,SO2_Emission,R12_PAS,2045,M1,2.0606306775874907,???,1.2211466865227103,fueloil,1.6874554878048782
+R12_PAS,2045,foil_i,VOC_Emission,R12_PAS,2045,M1,1.7129524944154877,???,1.2211466865227103,fueloil,1.4027409756097562
+R12_PAS,2045,gas_i,BCA_Emission,R12_PAS,2045,M1,0.00023790849673202612,???,1.1437908496732025,gas,0.000208
+R12_PAS,2045,gas_i,CH4_Emission,R12_PAS,2045,M1,0.14869281045751637,???,1.1437908496732025,gas,0.13000000000000003
+R12_PAS,2045,gas_i,CO_Emission,R12_PAS,2045,M1,1.2189444444444444,???,1.1437908496732025,gas,1.0657057142857143
+R12_PAS,2045,gas_i,N2O_Emission,R12_PAS,2045,M1,0.0022875816993464053,???,1.1437908496732025,gas,0.002
+R12_PAS,2045,gas_i,NH3_Emission,R12_PAS,2045,M1,0.004476993464052288,???,1.1437908496732025,gas,0.003914171428571429
+R12_PAS,2045,gas_i,NOx_Emission,R12_PAS,2045,M1,1.6892624183006537,???,1.1437908496732025,gas,1.4768980000000003
+R12_PAS,2045,gas_i,OCA_Emission,R12_PAS,2045,M1,0.002662745098039216,???,1.1437908496732025,gas,0.002328
+R12_PAS,2045,gas_i,SO2_Emission,R12_PAS,2045,M1,0.16725996732026144,???,1.1437908496732025,gas,0.146233
+R12_PAS,2045,gas_i,VOC_Emission,R12_PAS,2045,M1,0.07101797385620914,???,1.1437908496732025,gas,0.06209
+R12_PAS,2045,loil_i,BCA_Emission,R12_PAS,2045,M1,0.5409731422189128,???,1.2211466865227103,lightoil,0.44300422560975605
+R12_PAS,2045,loil_i,CO_Emission,R12_PAS,2045,M1,4.419381831720029,???,1.2211466865227103,lightoil,3.6190425609756094
+R12_PAS,2045,loil_i,NH3_Emission,R12_PAS,2045,M1,0.006711161578555473,???,1.2211466865227103,lightoil,0.005495786585365854
+R12_PAS,2045,loil_i,NOx_Emission,R12_PAS,2045,M1,11.287645495160088,???,1.2211466865227103,lightoil,9.243480426829269
+R12_PAS,2045,loil_i,OCA_Emission,R12_PAS,2045,M1,0.24513930007446014,???,1.2211466865227103,lightoil,0.2007451707317073
+R12_PAS,2045,loil_i,SO2_Emission,R12_PAS,2045,M1,2.0606306775874907,???,1.2211466865227103,lightoil,1.6874554878048782
+R12_PAS,2045,loil_i,VOC_Emission,R12_PAS,2045,M1,1.7129524944154877,???,1.2211466865227103,lightoil,1.4027409756097562
+R12_PAS,2050,biomass_i,BCA_Emission,R12_PAS,2050,M1,0.13595066666666666,???,1.3333333333333333,biomass,0.101963
+R12_PAS,2050,biomass_i,CH4_Emission,R12_PAS,2050,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_PAS,2050,biomass_i,CO_Emission,R12_PAS,2050,M1,11.810106666666666,???,1.3333333333333333,biomass,8.85758
+R12_PAS,2050,biomass_i,N2O_Emission,R12_PAS,2050,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_PAS,2050,biomass_i,NH3_Emission,R12_PAS,2050,M1,0.1722453333333333,???,1.3333333333333333,biomass,0.129184
+R12_PAS,2050,biomass_i,NOx_Emission,R12_PAS,2050,M1,4.470373333333333,???,1.3333333333333333,biomass,3.3527799999999996
+R12_PAS,2050,biomass_i,OCA_Emission,R12_PAS,2050,M1,0.19361733333333334,???,1.3333333333333333,biomass,0.145213
+R12_PAS,2050,biomass_i,SO2_Emission,R12_PAS,2050,M1,2.8669866666666666,???,1.3333333333333333,biomass,2.15024
+R12_PAS,2050,biomass_i,VOC_Emission,R12_PAS,2050,M1,2.0818266666666663,???,1.3333333333333333,biomass,1.5613699999999997
+R12_PAS,2050,coal_i,BCA_Emission,R12_PAS,2050,M1,0.01075625,???,1.25,coal,0.008605
+R12_PAS,2050,coal_i,CH4_Emission,R12_PAS,2050,M1,0.3375,???,1.25,coal,0.27
+R12_PAS,2050,coal_i,CO_Emission,R12_PAS,2050,M1,0.80791375,???,1.25,coal,0.646331
+R12_PAS,2050,coal_i,N2O_Emission,R12_PAS,2050,M1,0.04625,???,1.25,coal,0.037
+R12_PAS,2050,coal_i,NH3_Emission,R12_PAS,2050,M1,0.00024249999999999999,???,1.25,coal,0.000194
+R12_PAS,2050,coal_i,NOx_Emission,R12_PAS,2050,M1,3.3338374999999996,???,1.25,coal,2.66707
+R12_PAS,2050,coal_i,OCA_Emission,R12_PAS,2050,M1,0.006333750000000001,???,1.25,coal,0.005067
+R12_PAS,2050,coal_i,SO2_Emission,R12_PAS,2050,M1,6.0794375,???,1.25,coal,4.86355
+R12_PAS,2050,coal_i,VOC_Emission,R12_PAS,2050,M1,0.24309750000000002,???,1.25,coal,0.194478
+R12_PAS,2050,eth_i,BCA_Emission,R12_PAS,2050,M1,0.46169058823529413,???,1.1764705882352942,ethanol,0.392437
+R12_PAS,2050,eth_i,CO_Emission,R12_PAS,2050,M1,4.049611764705882,???,1.1764705882352942,ethanol,3.44217
+R12_PAS,2050,eth_i,NH3_Emission,R12_PAS,2050,M1,0.006389411764705883,???,1.1764705882352942,ethanol,0.005431
+R12_PAS,2050,eth_i,NOx_Emission,R12_PAS,2050,M1,9.748835294117647,???,1.1764705882352942,ethanol,8.28651
+R12_PAS,2050,eth_i,OCA_Emission,R12_PAS,2050,M1,0.20913176470588235,???,1.1764705882352942,ethanol,0.177762
+R12_PAS,2050,eth_i,VOC_Emission,R12_PAS,2050,M1,1.4929176470588237,???,1.1764705882352942,ethanol,1.26898
+R12_PAS,2050,foil_i,BCA_Emission,R12_PAS,2050,M1,0.46169058823529413,???,1.1764705882352942,fueloil,0.392437
+R12_PAS,2050,foil_i,CH4_Emission,R12_PAS,2050,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_PAS,2050,foil_i,CO_Emission,R12_PAS,2050,M1,4.049611764705882,???,1.1764705882352942,fueloil,3.44217
+R12_PAS,2050,foil_i,N2O_Emission,R12_PAS,2050,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_PAS,2050,foil_i,NH3_Emission,R12_PAS,2050,M1,0.006389411764705883,???,1.1764705882352942,fueloil,0.005431
+R12_PAS,2050,foil_i,NOx_Emission,R12_PAS,2050,M1,9.748835294117647,???,1.1764705882352942,fueloil,8.28651
+R12_PAS,2050,foil_i,OCA_Emission,R12_PAS,2050,M1,0.20913176470588235,???,1.1764705882352942,fueloil,0.177762
+R12_PAS,2050,foil_i,SO2_Emission,R12_PAS,2050,M1,1.8010588235294118,???,1.1764705882352942,fueloil,1.5309
+R12_PAS,2050,foil_i,VOC_Emission,R12_PAS,2050,M1,1.4929176470588237,???,1.1764705882352942,fueloil,1.26898
+R12_PAS,2050,gas_i,BCA_Emission,R12_PAS,2050,M1,0.0002311111111111111,???,1.1111111111111112,gas,0.000208
+R12_PAS,2050,gas_i,CH4_Emission,R12_PAS,2050,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_PAS,2050,gas_i,CO_Emission,R12_PAS,2050,M1,1.176088888888889,???,1.1111111111111112,gas,1.05848
+R12_PAS,2050,gas_i,N2O_Emission,R12_PAS,2050,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_PAS,2050,gas_i,NH3_Emission,R12_PAS,2050,M1,0.004242222222222223,???,1.1111111111111112,gas,0.003818
+R12_PAS,2050,gas_i,NOx_Emission,R12_PAS,2050,M1,1.5004777777777778,???,1.1111111111111112,gas,1.35043
+R12_PAS,2050,gas_i,OCA_Emission,R12_PAS,2050,M1,0.002586666666666667,???,1.1111111111111112,gas,0.002328
+R12_PAS,2050,gas_i,SO2_Emission,R12_PAS,2050,M1,0.16248111111111113,???,1.1111111111111112,gas,0.146233
+R12_PAS,2050,gas_i,VOC_Emission,R12_PAS,2050,M1,0.06898888888888889,???,1.1111111111111112,gas,0.06209
+R12_PAS,2050,loil_i,BCA_Emission,R12_PAS,2050,M1,0.46169058823529413,???,1.1764705882352942,lightoil,0.392437
+R12_PAS,2050,loil_i,CO_Emission,R12_PAS,2050,M1,4.049611764705882,???,1.1764705882352942,lightoil,3.44217
+R12_PAS,2050,loil_i,NH3_Emission,R12_PAS,2050,M1,0.006389411764705883,???,1.1764705882352942,lightoil,0.005431
+R12_PAS,2050,loil_i,NOx_Emission,R12_PAS,2050,M1,9.748835294117647,???,1.1764705882352942,lightoil,8.28651
+R12_PAS,2050,loil_i,OCA_Emission,R12_PAS,2050,M1,0.20913176470588235,???,1.1764705882352942,lightoil,0.177762
+R12_PAS,2050,loil_i,SO2_Emission,R12_PAS,2050,M1,1.8010588235294118,???,1.1764705882352942,lightoil,1.5309
+R12_PAS,2050,loil_i,VOC_Emission,R12_PAS,2050,M1,1.4929176470588237,???,1.1764705882352942,lightoil,1.26898
+R12_PAS,2055,biomass_i,BCA_Emission,R12_PAS,2055,M1,0.12549933333333332,???,1.3333333333333333,biomass,0.0941245
+R12_PAS,2055,biomass_i,CH4_Emission,R12_PAS,2055,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_PAS,2055,biomass_i,CO_Emission,R12_PAS,2055,M1,11.809866666666666,???,1.3333333333333333,biomass,8.8574
+R12_PAS,2055,biomass_i,N2O_Emission,R12_PAS,2055,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_PAS,2055,biomass_i,NH3_Emission,R12_PAS,2055,M1,0.16825666666666667,???,1.3333333333333333,biomass,0.1261925
+R12_PAS,2055,biomass_i,NOx_Emission,R12_PAS,2055,M1,4.328099999999999,???,1.3333333333333333,biomass,3.2460749999999994
+R12_PAS,2055,biomass_i,OCA_Emission,R12_PAS,2055,M1,0.17873266666666665,???,1.3333333333333333,biomass,0.1340495
+R12_PAS,2055,biomass_i,SO2_Emission,R12_PAS,2055,M1,2.8468066666666667,???,1.3333333333333333,biomass,2.1351050000000003
+R12_PAS,2055,biomass_i,VOC_Emission,R12_PAS,2055,M1,2.0818266666666663,???,1.3333333333333333,biomass,1.5613699999999997
+R12_PAS,2055,coal_i,BCA_Emission,R12_PAS,2055,M1,0.009930000000000001,???,1.25,coal,0.007944000000000001
+R12_PAS,2055,coal_i,CH4_Emission,R12_PAS,2055,M1,0.3375,???,1.25,coal,0.27
+R12_PAS,2055,coal_i,CO_Emission,R12_PAS,2055,M1,0.80472,???,1.25,coal,0.643776
+R12_PAS,2055,coal_i,N2O_Emission,R12_PAS,2055,M1,0.04625,???,1.25,coal,0.037
+R12_PAS,2055,coal_i,NH3_Emission,R12_PAS,2055,M1,0.00024249999999999999,???,1.25,coal,0.000194
+R12_PAS,2055,coal_i,NOx_Emission,R12_PAS,2055,M1,3.16168125,???,1.25,coal,2.529345
+R12_PAS,2055,coal_i,OCA_Emission,R12_PAS,2055,M1,0.005848125000000001,???,1.25,coal,0.0046785
+R12_PAS,2055,coal_i,SO2_Emission,R12_PAS,2055,M1,5.72254375,???,1.25,coal,4.578035
+R12_PAS,2055,coal_i,VOC_Emission,R12_PAS,2055,M1,0.24309750000000002,???,1.25,coal,0.194478
+R12_PAS,2055,eth_i,BCA_Emission,R12_PAS,2055,M1,0.42785058823529415,???,1.1764705882352942,ethanol,0.363673
+R12_PAS,2055,eth_i,CO_Emission,R12_PAS,2055,M1,3.9293,???,1.1764705882352942,ethanol,3.339905
+R12_PAS,2055,eth_i,NH3_Emission,R12_PAS,2055,M1,0.006341764705882353,???,1.1764705882352942,ethanol,0.0053905
+R12_PAS,2055,eth_i,NOx_Emission,R12_PAS,2055,M1,9.10975294117647,???,1.1764705882352942,ethanol,7.74329
+R12_PAS,2055,eth_i,OCA_Emission,R12_PAS,2055,M1,0.19375058823529412,???,1.1764705882352942,ethanol,0.164688
+R12_PAS,2055,eth_i,VOC_Emission,R12_PAS,2055,M1,1.4029764705882353,???,1.1764705882352942,ethanol,1.1925299999999999
+R12_PAS,2055,foil_i,BCA_Emission,R12_PAS,2055,M1,0.42785058823529415,???,1.1764705882352942,fueloil,0.363673
+R12_PAS,2055,foil_i,CH4_Emission,R12_PAS,2055,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_PAS,2055,foil_i,CO_Emission,R12_PAS,2055,M1,3.9293,???,1.1764705882352942,fueloil,3.339905
+R12_PAS,2055,foil_i,N2O_Emission,R12_PAS,2055,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_PAS,2055,foil_i,NH3_Emission,R12_PAS,2055,M1,0.006341764705882353,???,1.1764705882352942,fueloil,0.0053905
+R12_PAS,2055,foil_i,NOx_Emission,R12_PAS,2055,M1,9.10975294117647,???,1.1764705882352942,fueloil,7.74329
+R12_PAS,2055,foil_i,OCA_Emission,R12_PAS,2055,M1,0.19375058823529412,???,1.1764705882352942,fueloil,0.164688
+R12_PAS,2055,foil_i,SO2_Emission,R12_PAS,2055,M1,1.6992235294117648,???,1.1764705882352942,fueloil,1.44434
+R12_PAS,2055,foil_i,VOC_Emission,R12_PAS,2055,M1,1.4029764705882353,???,1.1764705882352942,fueloil,1.1925299999999999
+R12_PAS,2055,gas_i,BCA_Emission,R12_PAS,2055,M1,0.0002311111111111111,???,1.1111111111111112,gas,0.000208
+R12_PAS,2055,gas_i,CH4_Emission,R12_PAS,2055,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_PAS,2055,gas_i,CO_Emission,R12_PAS,2055,M1,1.1715111111111112,???,1.1111111111111112,gas,1.05436
+R12_PAS,2055,gas_i,N2O_Emission,R12_PAS,2055,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_PAS,2055,gas_i,NH3_Emission,R12_PAS,2055,M1,0.004182222222222223,???,1.1111111111111112,gas,0.003764
+R12_PAS,2055,gas_i,NOx_Emission,R12_PAS,2055,M1,1.4223833333333333,???,1.1111111111111112,gas,1.2801449999999999
+R12_PAS,2055,gas_i,OCA_Emission,R12_PAS,2055,M1,0.002586666666666667,???,1.1111111111111112,gas,0.002328
+R12_PAS,2055,gas_i,SO2_Emission,R12_PAS,2055,M1,0.16248111111111113,???,1.1111111111111112,gas,0.146233
+R12_PAS,2055,gas_i,VOC_Emission,R12_PAS,2055,M1,0.06898888888888889,???,1.1111111111111112,gas,0.06209
+R12_PAS,2055,loil_i,BCA_Emission,R12_PAS,2055,M1,0.42785058823529415,???,1.1764705882352942,lightoil,0.363673
+R12_PAS,2055,loil_i,CO_Emission,R12_PAS,2055,M1,3.9293,???,1.1764705882352942,lightoil,3.339905
+R12_PAS,2055,loil_i,NH3_Emission,R12_PAS,2055,M1,0.006341764705882353,???,1.1764705882352942,lightoil,0.0053905
+R12_PAS,2055,loil_i,NOx_Emission,R12_PAS,2055,M1,9.10975294117647,???,1.1764705882352942,lightoil,7.74329
+R12_PAS,2055,loil_i,OCA_Emission,R12_PAS,2055,M1,0.19375058823529412,???,1.1764705882352942,lightoil,0.164688
+R12_PAS,2055,loil_i,SO2_Emission,R12_PAS,2055,M1,1.6992235294117648,???,1.1764705882352942,lightoil,1.44434
+R12_PAS,2055,loil_i,VOC_Emission,R12_PAS,2055,M1,1.4029764705882353,???,1.1764705882352942,lightoil,1.1925299999999999
+R12_PAS,2060,biomass_i,BCA_Emission,R12_PAS,2060,M1,0.115048,???,1.3333333333333333,biomass,0.086286
+R12_PAS,2060,biomass_i,CH4_Emission,R12_PAS,2060,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_PAS,2060,biomass_i,CO_Emission,R12_PAS,2060,M1,11.809626666666666,???,1.3333333333333333,biomass,8.85722
+R12_PAS,2060,biomass_i,N2O_Emission,R12_PAS,2060,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_PAS,2060,biomass_i,NH3_Emission,R12_PAS,2060,M1,0.164268,???,1.3333333333333333,biomass,0.123201
+R12_PAS,2060,biomass_i,NOx_Emission,R12_PAS,2060,M1,4.185826666666666,???,1.3333333333333333,biomass,3.13937
+R12_PAS,2060,biomass_i,OCA_Emission,R12_PAS,2060,M1,0.163848,???,1.3333333333333333,biomass,0.122886
+R12_PAS,2060,biomass_i,SO2_Emission,R12_PAS,2060,M1,2.8266266666666664,???,1.3333333333333333,biomass,2.11997
+R12_PAS,2060,biomass_i,VOC_Emission,R12_PAS,2060,M1,2.0818266666666663,???,1.3333333333333333,biomass,1.5613699999999997
+R12_PAS,2060,coal_i,BCA_Emission,R12_PAS,2060,M1,0.00910375,???,1.25,coal,0.007283
+R12_PAS,2060,coal_i,CH4_Emission,R12_PAS,2060,M1,0.3375,???,1.25,coal,0.27
+R12_PAS,2060,coal_i,CO_Emission,R12_PAS,2060,M1,0.80152625,???,1.25,coal,0.641221
+R12_PAS,2060,coal_i,N2O_Emission,R12_PAS,2060,M1,0.04625,???,1.25,coal,0.037
+R12_PAS,2060,coal_i,NH3_Emission,R12_PAS,2060,M1,0.00024249999999999999,???,1.25,coal,0.000194
+R12_PAS,2060,coal_i,NOx_Emission,R12_PAS,2060,M1,2.989525,???,1.25,coal,2.39162
+R12_PAS,2060,coal_i,OCA_Emission,R12_PAS,2060,M1,0.005362500000000001,???,1.25,coal,0.00429
+R12_PAS,2060,coal_i,SO2_Emission,R12_PAS,2060,M1,5.36565,???,1.25,coal,4.29252
+R12_PAS,2060,coal_i,VOC_Emission,R12_PAS,2060,M1,0.24309750000000002,???,1.25,coal,0.194478
+R12_PAS,2060,eth_i,BCA_Emission,R12_PAS,2060,M1,0.39401058823529417,???,1.1764705882352942,ethanol,0.334909
+R12_PAS,2060,eth_i,CO_Emission,R12_PAS,2060,M1,3.808988235294118,???,1.1764705882352942,ethanol,3.23764
+R12_PAS,2060,eth_i,NH3_Emission,R12_PAS,2060,M1,0.006294117647058823,???,1.1764705882352942,ethanol,0.00535
+R12_PAS,2060,eth_i,NOx_Emission,R12_PAS,2060,M1,8.470670588235295,???,1.1764705882352942,ethanol,7.200070000000001
+R12_PAS,2060,eth_i,OCA_Emission,R12_PAS,2060,M1,0.1783694117647059,???,1.1764705882352942,ethanol,0.151614
+R12_PAS,2060,eth_i,VOC_Emission,R12_PAS,2060,M1,1.313035294117647,???,1.1764705882352942,ethanol,1.11608
+R12_PAS,2060,foil_i,BCA_Emission,R12_PAS,2060,M1,0.39401058823529417,???,1.1764705882352942,fueloil,0.334909
+R12_PAS,2060,foil_i,CH4_Emission,R12_PAS,2060,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_PAS,2060,foil_i,CO_Emission,R12_PAS,2060,M1,3.808988235294118,???,1.1764705882352942,fueloil,3.23764
+R12_PAS,2060,foil_i,N2O_Emission,R12_PAS,2060,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_PAS,2060,foil_i,NH3_Emission,R12_PAS,2060,M1,0.006294117647058823,???,1.1764705882352942,fueloil,0.00535
+R12_PAS,2060,foil_i,NOx_Emission,R12_PAS,2060,M1,8.470670588235295,???,1.1764705882352942,fueloil,7.200070000000001
+R12_PAS,2060,foil_i,OCA_Emission,R12_PAS,2060,M1,0.1783694117647059,???,1.1764705882352942,fueloil,0.151614
+R12_PAS,2060,foil_i,SO2_Emission,R12_PAS,2060,M1,1.5973882352941178,???,1.1764705882352942,fueloil,1.35778
+R12_PAS,2060,foil_i,VOC_Emission,R12_PAS,2060,M1,1.313035294117647,???,1.1764705882352942,fueloil,1.11608
+R12_PAS,2060,gas_i,BCA_Emission,R12_PAS,2060,M1,0.0002311111111111111,???,1.1111111111111112,gas,0.000208
+R12_PAS,2060,gas_i,CH4_Emission,R12_PAS,2060,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_PAS,2060,gas_i,CO_Emission,R12_PAS,2060,M1,1.1669333333333334,???,1.1111111111111112,gas,1.05024
+R12_PAS,2060,gas_i,N2O_Emission,R12_PAS,2060,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_PAS,2060,gas_i,NH3_Emission,R12_PAS,2060,M1,0.004122222222222222,???,1.1111111111111112,gas,0.00371
+R12_PAS,2060,gas_i,NOx_Emission,R12_PAS,2060,M1,1.3442888888888889,???,1.1111111111111112,gas,1.20986
+R12_PAS,2060,gas_i,OCA_Emission,R12_PAS,2060,M1,0.002586666666666667,???,1.1111111111111112,gas,0.002328
+R12_PAS,2060,gas_i,SO2_Emission,R12_PAS,2060,M1,0.16248111111111113,???,1.1111111111111112,gas,0.146233
+R12_PAS,2060,gas_i,VOC_Emission,R12_PAS,2060,M1,0.06898888888888889,???,1.1111111111111112,gas,0.06209
+R12_PAS,2060,loil_i,BCA_Emission,R12_PAS,2060,M1,0.39401058823529417,???,1.1764705882352942,lightoil,0.334909
+R12_PAS,2060,loil_i,CO_Emission,R12_PAS,2060,M1,3.808988235294118,???,1.1764705882352942,lightoil,3.23764
+R12_PAS,2060,loil_i,NH3_Emission,R12_PAS,2060,M1,0.006294117647058823,???,1.1764705882352942,lightoil,0.00535
+R12_PAS,2060,loil_i,NOx_Emission,R12_PAS,2060,M1,8.470670588235295,???,1.1764705882352942,lightoil,7.200070000000001
+R12_PAS,2060,loil_i,OCA_Emission,R12_PAS,2060,M1,0.1783694117647059,???,1.1764705882352942,lightoil,0.151614
+R12_PAS,2060,loil_i,SO2_Emission,R12_PAS,2060,M1,1.5973882352941178,???,1.1764705882352942,lightoil,1.35778
+R12_PAS,2060,loil_i,VOC_Emission,R12_PAS,2060,M1,1.313035294117647,???,1.1764705882352942,lightoil,1.11608
+R12_PAS,2070,biomass_i,BCA_Emission,R12_PAS,2070,M1,0.09414533333333333,???,1.3333333333333333,biomass,0.070609
+R12_PAS,2070,biomass_i,CH4_Emission,R12_PAS,2070,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_PAS,2070,biomass_i,CO_Emission,R12_PAS,2070,M1,11.809133333333332,???,1.3333333333333333,biomass,8.85685
+R12_PAS,2070,biomass_i,N2O_Emission,R12_PAS,2070,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_PAS,2070,biomass_i,NH3_Emission,R12_PAS,2070,M1,0.15628933333333334,???,1.3333333333333333,biomass,0.117217
+R12_PAS,2070,biomass_i,NOx_Emission,R12_PAS,2070,M1,3.9012933333333333,???,1.3333333333333333,biomass,2.92597
+R12_PAS,2070,biomass_i,OCA_Emission,R12_PAS,2070,M1,0.13407999999999998,???,1.3333333333333333,biomass,0.10055999999999998
+R12_PAS,2070,biomass_i,SO2_Emission,R12_PAS,2070,M1,2.7862666666666667,???,1.3333333333333333,biomass,2.0897
+R12_PAS,2070,biomass_i,VOC_Emission,R12_PAS,2070,M1,2.0818266666666663,???,1.3333333333333333,biomass,1.5613699999999997
+R12_PAS,2070,coal_i,BCA_Emission,R12_PAS,2070,M1,0.00745,???,1.25,coal,0.00596
+R12_PAS,2070,coal_i,CH4_Emission,R12_PAS,2070,M1,0.3375,???,1.25,coal,0.27
+R12_PAS,2070,coal_i,CO_Emission,R12_PAS,2070,M1,0.79513875,???,1.25,coal,0.636111
+R12_PAS,2070,coal_i,N2O_Emission,R12_PAS,2070,M1,0.04625,???,1.25,coal,0.037
+R12_PAS,2070,coal_i,NH3_Emission,R12_PAS,2070,M1,0.00024125,???,1.25,coal,0.000193
+R12_PAS,2070,coal_i,NOx_Emission,R12_PAS,2070,M1,2.6452125,???,1.25,coal,2.11617
+R12_PAS,2070,coal_i,OCA_Emission,R12_PAS,2070,M1,0.00439125,???,1.25,coal,0.003513
+R12_PAS,2070,coal_i,SO2_Emission,R12_PAS,2070,M1,4.6518749999999995,???,1.25,coal,3.7215
+R12_PAS,2070,coal_i,VOC_Emission,R12_PAS,2070,M1,0.24309750000000002,???,1.25,coal,0.194478
+R12_PAS,2070,eth_i,BCA_Emission,R12_PAS,2070,M1,0.3263317647058824,???,1.1764705882352942,ethanol,0.277382
+R12_PAS,2070,eth_i,CO_Emission,R12_PAS,2070,M1,3.5683647058823533,???,1.1764705882352942,ethanol,3.03311
+R12_PAS,2070,eth_i,NH3_Emission,R12_PAS,2070,M1,0.006198823529411765,???,1.1764705882352942,ethanol,0.005269
+R12_PAS,2070,eth_i,NOx_Emission,R12_PAS,2070,M1,7.192494117647059,???,1.1764705882352942,ethanol,6.11362
+R12_PAS,2070,eth_i,OCA_Emission,R12_PAS,2070,M1,0.1476070588235294,???,1.1764705882352942,ethanol,0.125466
+R12_PAS,2070,eth_i,VOC_Emission,R12_PAS,2070,M1,1.1331576470588236,???,1.1764705882352942,ethanol,0.963184
+R12_PAS,2070,foil_i,BCA_Emission,R12_PAS,2070,M1,0.3263317647058824,???,1.1764705882352942,fueloil,0.277382
+R12_PAS,2070,foil_i,CH4_Emission,R12_PAS,2070,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_PAS,2070,foil_i,CO_Emission,R12_PAS,2070,M1,3.5683647058823533,???,1.1764705882352942,fueloil,3.03311
+R12_PAS,2070,foil_i,N2O_Emission,R12_PAS,2070,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_PAS,2070,foil_i,NH3_Emission,R12_PAS,2070,M1,0.006198823529411765,???,1.1764705882352942,fueloil,0.005269
+R12_PAS,2070,foil_i,NOx_Emission,R12_PAS,2070,M1,7.192494117647059,???,1.1764705882352942,fueloil,6.11362
+R12_PAS,2070,foil_i,OCA_Emission,R12_PAS,2070,M1,0.1476070588235294,???,1.1764705882352942,fueloil,0.125466
+R12_PAS,2070,foil_i,SO2_Emission,R12_PAS,2070,M1,1.3937176470588237,???,1.1764705882352942,fueloil,1.18466
+R12_PAS,2070,foil_i,VOC_Emission,R12_PAS,2070,M1,1.1331576470588236,???,1.1764705882352942,fueloil,0.963184
+R12_PAS,2070,gas_i,BCA_Emission,R12_PAS,2070,M1,0.0002311111111111111,???,1.1111111111111112,gas,0.000208
+R12_PAS,2070,gas_i,CH4_Emission,R12_PAS,2070,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_PAS,2070,gas_i,CO_Emission,R12_PAS,2070,M1,1.1577666666666666,???,1.1111111111111112,gas,1.04199
+R12_PAS,2070,gas_i,N2O_Emission,R12_PAS,2070,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_PAS,2070,gas_i,NH3_Emission,R12_PAS,2070,M1,0.004003333333333334,???,1.1111111111111112,gas,0.003603
+R12_PAS,2070,gas_i,NOx_Emission,R12_PAS,2070,M1,1.1881111111111111,???,1.1111111111111112,gas,1.0693
+R12_PAS,2070,gas_i,OCA_Emission,R12_PAS,2070,M1,0.002586666666666667,???,1.1111111111111112,gas,0.002328
+R12_PAS,2070,gas_i,SO2_Emission,R12_PAS,2070,M1,0.16248111111111113,???,1.1111111111111112,gas,0.146233
+R12_PAS,2070,gas_i,VOC_Emission,R12_PAS,2070,M1,0.06898888888888889,???,1.1111111111111112,gas,0.06209
+R12_PAS,2070,loil_i,BCA_Emission,R12_PAS,2070,M1,0.3263317647058824,???,1.1764705882352942,lightoil,0.277382
+R12_PAS,2070,loil_i,CO_Emission,R12_PAS,2070,M1,3.5683647058823533,???,1.1764705882352942,lightoil,3.03311
+R12_PAS,2070,loil_i,NH3_Emission,R12_PAS,2070,M1,0.006198823529411765,???,1.1764705882352942,lightoil,0.005269
+R12_PAS,2070,loil_i,NOx_Emission,R12_PAS,2070,M1,7.192494117647059,???,1.1764705882352942,lightoil,6.11362
+R12_PAS,2070,loil_i,OCA_Emission,R12_PAS,2070,M1,0.1476070588235294,???,1.1764705882352942,lightoil,0.125466
+R12_PAS,2070,loil_i,SO2_Emission,R12_PAS,2070,M1,1.3937176470588237,???,1.1764705882352942,lightoil,1.18466
+R12_PAS,2070,loil_i,VOC_Emission,R12_PAS,2070,M1,1.1331576470588236,???,1.1764705882352942,lightoil,0.963184
+R12_PAS,2080,biomass_i,BCA_Emission,R12_PAS,2080,M1,0.07324266666666666,???,1.3333333333333333,biomass,0.054932
+R12_PAS,2080,biomass_i,CH4_Emission,R12_PAS,2080,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_PAS,2080,biomass_i,CO_Emission,R12_PAS,2080,M1,11.808653333333334,???,1.3333333333333333,biomass,8.85649
+R12_PAS,2080,biomass_i,N2O_Emission,R12_PAS,2080,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_PAS,2080,biomass_i,NH3_Emission,R12_PAS,2080,M1,0.148312,???,1.3333333333333333,biomass,0.111234
+R12_PAS,2080,biomass_i,NOx_Emission,R12_PAS,2080,M1,3.6167599999999998,???,1.3333333333333333,biomass,2.71257
+R12_PAS,2080,biomass_i,OCA_Emission,R12_PAS,2080,M1,0.10431066666666666,???,1.3333333333333333,biomass,0.078233
+R12_PAS,2080,biomass_i,SO2_Emission,R12_PAS,2080,M1,2.7459066666666665,???,1.3333333333333333,biomass,2.05943
+R12_PAS,2080,biomass_i,VOC_Emission,R12_PAS,2080,M1,2.0818266666666663,???,1.3333333333333333,biomass,1.5613699999999997
+R12_PAS,2080,coal_i,BCA_Emission,R12_PAS,2080,M1,0.0057975,???,1.25,coal,0.004638
+R12_PAS,2080,coal_i,CH4_Emission,R12_PAS,2080,M1,0.3375,???,1.25,coal,0.27
+R12_PAS,2080,coal_i,CO_Emission,R12_PAS,2080,M1,0.78875125,???,1.25,coal,0.631001
+R12_PAS,2080,coal_i,N2O_Emission,R12_PAS,2080,M1,0.04625,???,1.25,coal,0.037
+R12_PAS,2080,coal_i,NH3_Emission,R12_PAS,2080,M1,0.00024125,???,1.25,coal,0.000193
+R12_PAS,2080,coal_i,NOx_Emission,R12_PAS,2080,M1,2.3008875,???,1.25,coal,1.84071
+R12_PAS,2080,coal_i,OCA_Emission,R12_PAS,2080,M1,0.00341875,???,1.25,coal,0.002735
+R12_PAS,2080,coal_i,SO2_Emission,R12_PAS,2080,M1,3.9380875,???,1.25,coal,3.15047
+R12_PAS,2080,coal_i,VOC_Emission,R12_PAS,2080,M1,0.24309750000000002,???,1.25,coal,0.194478
+R12_PAS,2080,eth_i,BCA_Emission,R12_PAS,2080,M1,0.25865176470588236,???,1.1764705882352942,ethanol,0.219854
+R12_PAS,2080,eth_i,CO_Emission,R12_PAS,2080,M1,3.327729411764706,???,1.1764705882352942,ethanol,2.82857
+R12_PAS,2080,eth_i,NH3_Emission,R12_PAS,2080,M1,0.006104705882352942,???,1.1764705882352942,ethanol,0.005189
+R12_PAS,2080,eth_i,NOx_Emission,R12_PAS,2080,M1,5.914329411764706,???,1.1764705882352942,ethanol,5.02718
+R12_PAS,2080,eth_i,OCA_Emission,R12_PAS,2080,M1,0.11684588235294119,???,1.1764705882352942,ethanol,0.099319
+R12_PAS,2080,eth_i,VOC_Emission,R12_PAS,2080,M1,0.9532776470588235,???,1.1764705882352942,ethanol,0.810286
+R12_PAS,2080,foil_i,BCA_Emission,R12_PAS,2080,M1,0.25865176470588236,???,1.1764705882352942,fueloil,0.219854
+R12_PAS,2080,foil_i,CH4_Emission,R12_PAS,2080,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_PAS,2080,foil_i,CO_Emission,R12_PAS,2080,M1,3.327729411764706,???,1.1764705882352942,fueloil,2.82857
+R12_PAS,2080,foil_i,N2O_Emission,R12_PAS,2080,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_PAS,2080,foil_i,NH3_Emission,R12_PAS,2080,M1,0.006104705882352942,???,1.1764705882352942,fueloil,0.005189
+R12_PAS,2080,foil_i,NOx_Emission,R12_PAS,2080,M1,5.914329411764706,???,1.1764705882352942,fueloil,5.02718
+R12_PAS,2080,foil_i,OCA_Emission,R12_PAS,2080,M1,0.11684588235294119,???,1.1764705882352942,fueloil,0.099319
+R12_PAS,2080,foil_i,SO2_Emission,R12_PAS,2080,M1,1.190035294117647,???,1.1764705882352942,fueloil,1.01153
+R12_PAS,2080,foil_i,VOC_Emission,R12_PAS,2080,M1,0.9532776470588235,???,1.1764705882352942,fueloil,0.810286
+R12_PAS,2080,gas_i,BCA_Emission,R12_PAS,2080,M1,0.0002311111111111111,???,1.1111111111111112,gas,0.000208
+R12_PAS,2080,gas_i,CH4_Emission,R12_PAS,2080,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_PAS,2080,gas_i,CO_Emission,R12_PAS,2080,M1,1.148611111111111,???,1.1111111111111112,gas,1.03375
+R12_PAS,2080,gas_i,N2O_Emission,R12_PAS,2080,M1,0.0022222222222222222,???,1.1111111111111112,gas,0.002
+R12_PAS,2080,gas_i,NH3_Emission,R12_PAS,2080,M1,0.0038844444444444447,???,1.1111111111111112,gas,0.003496
+R12_PAS,2080,gas_i,NOx_Emission,R12_PAS,2080,M1,1.0319244444444444,???,1.1111111111111112,gas,0.9287319999999999
+R12_PAS,2080,gas_i,OCA_Emission,R12_PAS,2080,M1,0.002586666666666667,???,1.1111111111111112,gas,0.002328
+R12_PAS,2080,gas_i,SO2_Emission,R12_PAS,2080,M1,0.16248111111111113,???,1.1111111111111112,gas,0.146233
+R12_PAS,2080,gas_i,VOC_Emission,R12_PAS,2080,M1,0.06898888888888889,???,1.1111111111111112,gas,0.06209
+R12_PAS,2080,loil_i,BCA_Emission,R12_PAS,2080,M1,0.25865176470588236,???,1.1764705882352942,lightoil,0.219854
+R12_PAS,2080,loil_i,CO_Emission,R12_PAS,2080,M1,3.327729411764706,???,1.1764705882352942,lightoil,2.82857
+R12_PAS,2080,loil_i,NH3_Emission,R12_PAS,2080,M1,0.006104705882352942,???,1.1764705882352942,lightoil,0.005189
+R12_PAS,2080,loil_i,NOx_Emission,R12_PAS,2080,M1,5.914329411764706,???,1.1764705882352942,lightoil,5.02718
+R12_PAS,2080,loil_i,OCA_Emission,R12_PAS,2080,M1,0.11684588235294119,???,1.1764705882352942,lightoil,0.099319
+R12_PAS,2080,loil_i,SO2_Emission,R12_PAS,2080,M1,1.190035294117647,???,1.1764705882352942,lightoil,1.01153
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+R12_RCPA,2030,eth_i,NH3_Emission,R12_RCPA,2030,M1,0.005900000000000001,???,1.1764705882352942,ethanol,0.005015
+R12_RCPA,2030,eth_i,NOx_Emission,R12_RCPA,2030,M1,9.459458823529411,???,1.1764705882352942,ethanol,8.04054
+R12_RCPA,2030,eth_i,OCA_Emission,R12_RCPA,2030,M1,0.08355764705882354,???,1.1764705882352942,ethanol,0.071024
+R12_RCPA,2030,eth_i,VOC_Emission,R12_RCPA,2030,M1,1.2018470588235295,???,1.1764705882352942,ethanol,1.02157
+R12_RCPA,2030,foil_i,BCA_Emission,R12_RCPA,2030,M1,0.2463,???,1.4925373134328357,fueloil,0.165021
+R12_RCPA,2030,foil_i,CH4_Emission,R12_RCPA,2030,M1,0.8059701492537313,???,1.4925373134328357,fueloil,0.54
+R12_RCPA,2030,foil_i,CO_Emission,R12_RCPA,2030,M1,5.046641791044776,???,1.4925373134328357,fueloil,3.38125
+R12_RCPA,2030,foil_i,N2O_Emission,R12_RCPA,2030,M1,0.017910447761194027,???,1.4925373134328357,fueloil,0.012
+R12_RCPA,2030,foil_i,NH3_Emission,R12_RCPA,2030,M1,0.007485074626865672,???,1.4925373134328357,fueloil,0.005015
+R12_RCPA,2030,foil_i,NOx_Emission,R12_RCPA,2030,M1,12.000805970149253,???,1.4925373134328357,fueloil,8.04054
+R12_RCPA,2030,foil_i,OCA_Emission,R12_RCPA,2030,M1,0.10600597014925373,???,1.4925373134328357,fueloil,0.071024
+R12_RCPA,2030,foil_i,SO2_Emission,R12_RCPA,2030,M1,5.376402985074626,???,1.4925373134328357,fueloil,3.60219
+R12_RCPA,2030,foil_i,VOC_Emission,R12_RCPA,2030,M1,1.524731343283582,???,1.4925373134328357,fueloil,1.02157
+R12_RCPA,2030,gas_i,BCA_Emission,R12_RCPA,2030,M1,0.009635135135135135,???,1.3513513513513513,gas,0.00713
+R12_RCPA,2030,gas_i,CH4_Emission,R12_RCPA,2030,M1,0.17567567567567569,???,1.3513513513513513,gas,0.13
+R12_RCPA,2030,gas_i,CO_Emission,R12_RCPA,2030,M1,1.4187162162162161,???,1.3513513513513513,gas,1.04985
+R12_RCPA,2030,gas_i,N2O_Emission,R12_RCPA,2030,M1,0.002702702702702703,???,1.3513513513513513,gas,0.002
+R12_RCPA,2030,gas_i,NH3_Emission,R12_RCPA,2030,M1,0.0060621621621621625,???,1.3513513513513513,gas,0.004486
+R12_RCPA,2030,gas_i,NOx_Emission,R12_RCPA,2030,M1,2.713297297297297,???,1.3513513513513513,gas,2.00784
+R12_RCPA,2030,gas_i,OCA_Emission,R12_RCPA,2030,M1,0.10785,???,1.3513513513513513,gas,0.079809
+R12_RCPA,2030,gas_i,SO2_Emission,R12_RCPA,2030,M1,0.4121783783783784,???,1.3513513513513513,gas,0.305012
+R12_RCPA,2030,gas_i,VOC_Emission,R12_RCPA,2030,M1,0.08106891891891892,???,1.3513513513513513,gas,0.059991
+R12_RCPA,2030,loil_i,BCA_Emission,R12_RCPA,2030,M1,0.2463,???,1.4925373134328357,lightoil,0.165021
+R12_RCPA,2030,loil_i,CO_Emission,R12_RCPA,2030,M1,5.046641791044776,???,1.4925373134328357,lightoil,3.38125
+R12_RCPA,2030,loil_i,NH3_Emission,R12_RCPA,2030,M1,0.007485074626865672,???,1.4925373134328357,lightoil,0.005015
+R12_RCPA,2030,loil_i,NOx_Emission,R12_RCPA,2030,M1,12.000805970149253,???,1.4925373134328357,lightoil,8.04054
+R12_RCPA,2030,loil_i,OCA_Emission,R12_RCPA,2030,M1,0.10600597014925373,???,1.4925373134328357,lightoil,0.071024
+R12_RCPA,2030,loil_i,SO2_Emission,R12_RCPA,2030,M1,5.376402985074626,???,1.4925373134328357,lightoil,3.60219
+R12_RCPA,2030,loil_i,VOC_Emission,R12_RCPA,2030,M1,1.524731343283582,???,1.4925373134328357,lightoil,1.02157
+R12_RCPA,2035,biomass_i,BCA_Emission,R12_RCPA,2035,M1,0.4601195188627666,???,1.65390924002187,biomass,0.27820119008264466
+R12_RCPA,2035,biomass_i,CH4_Emission,R12_RCPA,2035,M1,1.3231273920174962,???,1.65390924002187,biomass,0.8000000000000002
+R12_RCPA,2035,biomass_i,CO_Emission,R12_RCPA,2035,M1,15.719844997266266,???,1.65390924002187,biomass,9.50466
+R12_RCPA,2035,biomass_i,N2O_Emission,R12_RCPA,2035,M1,0.16539092400218702,???,1.65390924002187,biomass,0.10000000000000002
+R12_RCPA,2035,biomass_i,NH3_Emission,R12_RCPA,2035,M1,0.2530546746856206,???,1.65390924002187,biomass,0.15300396694214877
+R12_RCPA,2035,biomass_i,NOx_Emission,R12_RCPA,2035,M1,6.5212938764352115,???,1.65390924002187,biomass,3.942957520661157
+R12_RCPA,2035,biomass_i,OCA_Emission,R12_RCPA,2035,M1,0.6901788955713506,???,1.65390924002187,biomass,0.4173015537190083
+R12_RCPA,2035,biomass_i,SO2_Emission,R12_RCPA,2035,M1,3.7211138600328058,???,1.65390924002187,biomass,2.24989
+R12_RCPA,2035,biomass_i,VOC_Emission,R12_RCPA,2035,M1,2.515182476763259,???,1.65390924002187,biomass,1.52075
+R12_RCPA,2035,coal_i,BCA_Emission,R12_RCPA,2035,M1,0.537924748411017,???,1.628707627118644,coal,0.33027704878048786
+R12_RCPA,2035,coal_i,CH4_Emission,R12_RCPA,2035,M1,0.43975105932203395,???,1.628707627118644,coal,0.27
+R12_RCPA,2035,coal_i,CO_Emission,R12_RCPA,2035,M1,23.52746822033898,???,1.628707627118644,coal,14.445482926829268
+R12_RCPA,2035,coal_i,N2O_Emission,R12_RCPA,2035,M1,0.06026218220338983,???,1.628707627118644,coal,0.037
+R12_RCPA,2035,coal_i,NH3_Emission,R12_RCPA,2035,M1,0.00030782574152542376,???,1.628707627118644,coal,0.000189
+R12_RCPA,2035,coal_i,NOx_Emission,R12_RCPA,2035,M1,6.994015360169492,???,1.628707627118644,coal,4.294211707317073
+R12_RCPA,2035,coal_i,OCA_Emission,R12_RCPA,2035,M1,0.6221761784957628,???,1.628707627118644,coal,0.38200605691056916
+R12_RCPA,2035,coal_i,SO2_Emission,R12_RCPA,2035,M1,32.10757415254237,???,1.628707627118644,coal,19.71352845528455
+R12_RCPA,2035,coal_i,VOC_Emission,R12_RCPA,2035,M1,0.30747394067796613,???,1.628707627118644,coal,0.188784
+R12_RCPA,2035,eth_i,BCA_Emission,R12_RCPA,2035,M1,0.17947411764705884,???,1.1764705882352942,ethanol,0.15255300000000002
+R12_RCPA,2035,eth_i,CO_Emission,R12_RCPA,2035,M1,3.820494117647059,???,1.1764705882352942,ethanol,3.24742
+R12_RCPA,2035,eth_i,NH3_Emission,R12_RCPA,2035,M1,0.005804705882352941,???,1.1764705882352942,ethanol,0.004934
+R12_RCPA,2035,eth_i,NOx_Emission,R12_RCPA,2035,M1,8.81844705882353,???,1.1764705882352942,ethanol,7.49568
+R12_RCPA,2035,eth_i,OCA_Emission,R12_RCPA,2035,M1,0.07689000000000001,???,1.1764705882352942,ethanol,0.06535650000000001
+R12_RCPA,2035,eth_i,VOC_Emission,R12_RCPA,2035,M1,1.1201029411764707,???,1.1764705882352942,ethanol,0.9520875000000001
+R12_RCPA,2035,foil_i,BCA_Emission,R12_RCPA,2035,M1,0.22180140845070423,???,1.4504940088290939,fueloil,0.15291439130434784
+R12_RCPA,2035,foil_i,CH4_Emission,R12_RCPA,2035,M1,0.7832667647677107,???,1.4504940088290939,fueloil,0.54
+R12_RCPA,2035,foil_i,CO_Emission,R12_RCPA,2035,M1,4.715989909606895,???,1.4504940088290939,fueloil,3.251299130434783
+R12_RCPA,2035,foil_i,N2O_Emission,R12_RCPA,2035,M1,0.017405928105949126,???,1.4504940088290939,fueloil,0.012
+R12_RCPA,2035,foil_i,NH3_Emission,R12_RCPA,2035,M1,0.007160142947235652,???,1.4504940088290939,fueloil,0.0049363478260869564
+R12_RCPA,2035,foil_i,NOx_Emission,R12_RCPA,2035,M1,10.895346647046459,???,1.4504940088290939,fueloil,7.511473043478262
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+R12_RCPA,2035,foil_i,SO2_Emission,R12_RCPA,2035,M1,4.8290465629598485,???,1.4504940088290939,fueloil,3.3292426811594202
+R12_RCPA,2035,foil_i,VOC_Emission,R12_RCPA,2035,M1,1.3839184885431997,???,1.4504940088290939,fueloil,0.9541014855072466
+R12_RCPA,2035,gas_i,BCA_Emission,R12_RCPA,2035,M1,0.009447437697437697,???,1.325026325026325,gas,0.00713
+R12_RCPA,2035,gas_i,CH4_Emission,R12_RCPA,2035,M1,0.17225342225342227,???,1.325026325026325,gas,0.13
+R12_RCPA,2035,gas_i,CO_Emission,R12_RCPA,2035,M1,1.3824620042120042,???,1.325026325026325,gas,1.043346821192053
+R12_RCPA,2035,gas_i,N2O_Emission,R12_RCPA,2035,M1,0.00265005265005265,???,1.325026325026325,gas,0.002
+R12_RCPA,2035,gas_i,NH3_Emission,R12_RCPA,2035,M1,0.005778483678483679,???,1.325026325026325,gas,0.004361033112582782
+R12_RCPA,2035,gas_i,NOx_Emission,R12_RCPA,2035,M1,2.478694103194103,???,1.325026325026325,gas,1.8706753642384104
+R12_RCPA,2035,gas_i,OCA_Emission,R12_RCPA,2035,M1,0.10574902597402597,???,1.325026325026325,gas,0.07980899999999999
+R12_RCPA,2035,gas_i,SO2_Emission,R12_RCPA,2035,M1,0.40414892944892944,???,1.325026325026325,gas,0.305012
+R12_RCPA,2035,gas_i,VOC_Emission,R12_RCPA,2035,M1,0.07948965426465426,???,1.325026325026325,gas,0.059991
+R12_RCPA,2035,loil_i,BCA_Emission,R12_RCPA,2035,M1,0.22180140845070423,???,1.4504940088290939,lightoil,0.15291439130434784
+R12_RCPA,2035,loil_i,CO_Emission,R12_RCPA,2035,M1,4.715989909606895,???,1.4504940088290939,lightoil,3.251299130434783
+R12_RCPA,2035,loil_i,NH3_Emission,R12_RCPA,2035,M1,0.007160142947235652,???,1.4504940088290939,lightoil,0.0049363478260869564
+R12_RCPA,2035,loil_i,NOx_Emission,R12_RCPA,2035,M1,10.895346647046459,???,1.4504940088290939,lightoil,7.511473043478262
+R12_RCPA,2035,loil_i,OCA_Emission,R12_RCPA,2035,M1,0.0950374921168804,???,1.4504940088290939,lightoil,0.06552077536231884
+R12_RCPA,2035,loil_i,SO2_Emission,R12_RCPA,2035,M1,4.8290465629598485,???,1.4504940088290939,lightoil,3.3292426811594202
+R12_RCPA,2035,loil_i,VOC_Emission,R12_RCPA,2035,M1,1.3839184885431997,???,1.4504940088290939,lightoil,0.9541014855072466
+R12_RCPA,2040,biomass_i,BCA_Emission,R12_RCPA,2040,M1,0.4047322580645161,???,1.6129032258064517,biomass,0.250934
+R12_RCPA,2040,biomass_i,CH4_Emission,R12_RCPA,2040,M1,1.2903225806451615,???,1.6129032258064517,biomass,0.8
+R12_RCPA,2040,biomass_i,CO_Emission,R12_RCPA,2040,M1,15.33009677419355,???,1.6129032258064517,biomass,9.50466
+R12_RCPA,2040,biomass_i,N2O_Emission,R12_RCPA,2040,M1,0.16129032258064518,???,1.6129032258064517,biomass,0.1
+R12_RCPA,2040,biomass_i,NH3_Emission,R12_RCPA,2040,M1,0.2376161290322581,???,1.6129032258064517,biomass,0.147322
+R12_RCPA,2040,biomass_i,NOx_Emission,R12_RCPA,2040,M1,6.061774193548388,???,1.6129032258064517,biomass,3.7583
+R12_RCPA,2040,biomass_i,OCA_Emission,R12_RCPA,2040,M1,0.6070967741935485,???,1.6129032258064517,biomass,0.3764
+R12_RCPA,2040,biomass_i,SO2_Emission,R12_RCPA,2040,M1,3.628854838709678,???,1.6129032258064517,biomass,2.24989
+R12_RCPA,2040,biomass_i,VOC_Emission,R12_RCPA,2040,M1,2.4528225806451616,???,1.6129032258064517,biomass,1.52075
+R12_RCPA,2040,coal_i,BCA_Emission,R12_RCPA,2040,M1,0.4648359375,???,1.5625,coal,0.297495
+R12_RCPA,2040,coal_i,CH4_Emission,R12_RCPA,2040,M1,0.421875,???,1.5625,coal,0.27
+R12_RCPA,2040,coal_i,CO_Emission,R12_RCPA,2040,M1,21.40375,???,1.5625,coal,13.6984
+R12_RCPA,2040,coal_i,N2O_Emission,R12_RCPA,2040,M1,0.057812499999999996,???,1.5625,coal,0.037
+R12_RCPA,2040,coal_i,NH3_Emission,R12_RCPA,2040,M1,0.0002953125,???,1.5625,coal,0.000189
+R12_RCPA,2040,coal_i,NOx_Emission,R12_RCPA,2040,M1,6.2444375,???,1.5625,coal,3.99644
+R12_RCPA,2040,coal_i,OCA_Emission,R12_RCPA,2040,M1,0.5381421875000001,???,1.5625,coal,0.3444110000000001
+R12_RCPA,2040,coal_i,SO2_Emission,R12_RCPA,2040,M1,28.921249999999997,???,1.5625,coal,18.5096
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+R12_RCPA,2040,eth_i,BCA_Emission,R12_RCPA,2040,M1,0.16480588235294116,???,1.1764705882352942,ethanol,0.140085
+R12_RCPA,2040,eth_i,CO_Emission,R12_RCPA,2040,M1,3.6630470588235293,???,1.1764705882352942,ethanol,3.11359
+R12_RCPA,2040,eth_i,NH3_Emission,R12_RCPA,2040,M1,0.005709411764705882,???,1.1764705882352942,ethanol,0.004853
+R12_RCPA,2040,eth_i,NOx_Emission,R12_RCPA,2040,M1,8.177435294117648,???,1.1764705882352942,ethanol,6.950820000000001
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+R12_RCPA,2040,eth_i,VOC_Emission,R12_RCPA,2040,M1,1.0383588235294117,???,1.1764705882352942,ethanol,0.8826049999999999
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+R12_RCPA,2040,foil_i,CH4_Emission,R12_RCPA,2040,M1,0.7605633802816902,???,1.4084507042253522,fueloil,0.54
+R12_RCPA,2040,foil_i,CO_Emission,R12_RCPA,2040,M1,4.385338028169015,???,1.4084507042253522,fueloil,3.1135900000000003
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+R12_RCPA,2040,foil_i,NH3_Emission,R12_RCPA,2040,M1,0.006835211267605634,???,1.4084507042253522,fueloil,0.004853
+R12_RCPA,2040,foil_i,NOx_Emission,R12_RCPA,2040,M1,9.789887323943663,???,1.4084507042253522,fueloil,6.95082
+R12_RCPA,2040,foil_i,OCA_Emission,R12_RCPA,2040,M1,0.08406901408450705,???,1.4084507042253522,fueloil,0.059689
+R12_RCPA,2040,foil_i,SO2_Emission,R12_RCPA,2040,M1,4.281690140845071,???,1.4084507042253522,fueloil,3.04
+R12_RCPA,2040,foil_i,VOC_Emission,R12_RCPA,2040,M1,1.243105633802817,???,1.4084507042253522,fueloil,0.882605
+R12_RCPA,2040,gas_i,BCA_Emission,R12_RCPA,2040,M1,0.00925974025974026,???,1.2987012987012987,gas,0.00713
+R12_RCPA,2040,gas_i,CH4_Emission,R12_RCPA,2040,M1,0.16883116883116883,???,1.2987012987012987,gas,0.13
+R12_RCPA,2040,gas_i,CO_Emission,R12_RCPA,2040,M1,1.3462077922077922,???,1.2987012987012987,gas,1.03658
+R12_RCPA,2040,gas_i,N2O_Emission,R12_RCPA,2040,M1,0.0025974025974025974,???,1.2987012987012987,gas,0.002
+R12_RCPA,2040,gas_i,NH3_Emission,R12_RCPA,2040,M1,0.005494805194805196,???,1.2987012987012987,gas,0.004231
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+R12_RCPA,2040,gas_i,SO2_Emission,R12_RCPA,2040,M1,0.39611948051948054,???,1.2987012987012987,gas,0.305012
+R12_RCPA,2040,gas_i,VOC_Emission,R12_RCPA,2040,M1,0.07791038961038961,???,1.2987012987012987,gas,0.059991
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+R12_RCPA,2040,loil_i,CO_Emission,R12_RCPA,2040,M1,4.385338028169015,???,1.4084507042253522,lightoil,3.1135900000000003
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+R12_RCPA,2040,loil_i,NOx_Emission,R12_RCPA,2040,M1,9.789887323943663,???,1.4084507042253522,lightoil,6.95082
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+R12_RCPA,2040,loil_i,SO2_Emission,R12_RCPA,2040,M1,4.281690140845071,???,1.4084507042253522,lightoil,3.04
+R12_RCPA,2040,loil_i,VOC_Emission,R12_RCPA,2040,M1,1.243105633802817,???,1.4084507042253522,lightoil,0.882605
+R12_RCPA,2045,biomass_i,BCA_Emission,R12_RCPA,2045,M1,0.3544568982630273,???,1.5756823821339951,biomass,0.22495453543307084
+R12_RCPA,2045,biomass_i,CH4_Emission,R12_RCPA,2045,M1,1.2605459057071962,???,1.5756823821339951,biomass,0.8
+R12_RCPA,2045,biomass_i,CO_Emission,R12_RCPA,2045,M1,14.976325310173696,???,1.5756823821339951,biomass,9.504659999999998
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+R12_RCPA,2045,biomass_i,NOx_Emission,R12_RCPA,2045,M1,5.644664019851117,???,1.5756823821339951,biomass,3.5823615748031497
+R12_RCPA,2045,biomass_i,OCA_Emission,R12_RCPA,2045,M1,0.531684540942928,???,1.5756823821339951,biomass,0.3374312913385827
+R12_RCPA,2045,biomass_i,SO2_Emission,R12_RCPA,2045,M1,3.5451120347394545,???,1.5756823821339951,biomass,2.24989
+R12_RCPA,2045,biomass_i,VOC_Emission,R12_RCPA,2045,M1,2.3962189826302733,???,1.5756823821339951,biomass,1.52075
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+R12_RCPA,2045,coal_i,CH4_Emission,R12_RCPA,2045,M1,0.40946691176470584,???,1.5165441176470589,coal,0.26999999999999996
+R12_RCPA,2045,coal_i,CO_Emission,R12_RCPA,2045,M1,19.718492647058824,???,1.5165441176470589,coal,13.002254545454544
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+R12_RCPA,2045,coal_i,NH3_Emission,R12_RCPA,2045,M1,0.0002866268382352941,???,1.5165441176470589,coal,0.00018899999999999999
+R12_RCPA,2045,coal_i,NOx_Emission,R12_RCPA,2045,M1,5.639983455882353,???,1.5165441176470589,coal,3.7189709090909093
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+R12_RCPA,2045,eth_i,BCA_Emission,R12_RCPA,2045,M1,0.15013764705882354,???,1.1764705882352942,ethanol,0.127617
+R12_RCPA,2045,eth_i,CO_Emission,R12_RCPA,2045,M1,3.505605882352941,???,1.1764705882352942,ethanol,2.9797649999999996
+R12_RCPA,2045,eth_i,NH3_Emission,R12_RCPA,2045,M1,0.005613529411764706,???,1.1764705882352942,ethanol,0.0047715
+R12_RCPA,2045,eth_i,NOx_Emission,R12_RCPA,2045,M1,7.536423529411765,???,1.1764705882352942,ethanol,6.40596
+R12_RCPA,2045,eth_i,OCA_Emission,R12_RCPA,2045,M1,0.06355529411764706,???,1.1764705882352942,ethanol,0.054021999999999994
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+R12_RCPA,2045,foil_i,BCA_Emission,R12_RCPA,2045,M1,0.17541740845070422,???,1.3708920187793427,fueloil,0.1279585890410959
+R12_RCPA,2045,foil_i,CH4_Emission,R12_RCPA,2045,M1,0.7402816901408451,???,1.3708920187793427,fueloil,0.54
+R12_RCPA,2045,foil_i,CO_Emission,R12_RCPA,2045,M1,4.08996234741784,???,1.3708920187793427,fueloil,2.983431438356164
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+R12_RCPA,2045,foil_i,NH3_Emission,R12_RCPA,2045,M1,0.006544272300469483,???,1.3708920187793427,fueloil,0.004773732876712328
+R12_RCPA,2045,foil_i,NOx_Emission,R12_RCPA,2045,M1,8.802343661971832,???,1.3708920187793427,fueloil,6.420887671232878
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+R12_RCPA,2045,foil_i,SO2_Emission,R12_RCPA,2045,M1,3.7927184037558686,???,1.3708920187793427,fueloil,2.7666062328767125
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+R12_RCPA,2045,gas_i,CH4_Emission,R12_RCPA,2045,M1,0.16566558441558443,???,1.2743506493506493,gas,0.13
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+R12_RCPA,2045,gas_i,NH3_Emission,R12_RCPA,2045,M1,0.0052324025974025985,???,1.2743506493506493,gas,0.004105936305732485
+R12_RCPA,2045,gas_i,NOx_Emission,R12_RCPA,2045,M1,2.0270829545454543,???,1.2743506493506493,gas,1.5906791082802545
+R12_RCPA,2045,gas_i,OCA_Emission,R12_RCPA,2045,M1,0.10170465097402598,???,1.2743506493506493,gas,0.079809
+R12_RCPA,2045,gas_i,SO2_Emission,R12_RCPA,2045,M1,0.38869224025974025,???,1.2743506493506493,gas,0.305012
+R12_RCPA,2045,gas_i,VOC_Emission,R12_RCPA,2045,M1,0.07644956980519481,???,1.2743506493506493,gas,0.059991
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+R12_RCPA,2045,loil_i,CO_Emission,R12_RCPA,2045,M1,4.08996234741784,???,1.3708920187793427,lightoil,2.983431438356164
+R12_RCPA,2045,loil_i,NH3_Emission,R12_RCPA,2045,M1,0.006544272300469483,???,1.3708920187793427,lightoil,0.004773732876712328
+R12_RCPA,2045,loil_i,NOx_Emission,R12_RCPA,2045,M1,8.802343661971832,???,1.3708920187793427,lightoil,6.420887671232878
+R12_RCPA,2045,loil_i,OCA_Emission,R12_RCPA,2045,M1,0.0742711737089202,???,1.3708920187793427,lightoil,0.054177260273972606
+R12_RCPA,2045,loil_i,SO2_Emission,R12_RCPA,2045,M1,3.7927184037558686,???,1.3708920187793427,lightoil,2.7666062328767125
+R12_RCPA,2045,loil_i,VOC_Emission,R12_RCPA,2045,M1,1.1173121502347418,???,1.3708920187793427,lightoil,0.8150256438356165
+R12_RCPA,2050,biomass_i,BCA_Emission,R12_RCPA,2050,M1,0.30418153846153845,???,1.5384615384615383,biomass,0.197718
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+R12_RCPA,2050,biomass_i,CO_Emission,R12_RCPA,2050,M1,14.622553846153844,???,1.5384615384615383,biomass,9.50466
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+R12_RCPA,2050,coal_i,CH4_Emission,R12_RCPA,2050,M1,0.39705882352941174,???,1.4705882352941175,coal,0.27
+R12_RCPA,2050,coal_i,CO_Emission,R12_RCPA,2050,M1,18.033235294117645,???,1.4705882352941175,coal,12.262599999999999
+R12_RCPA,2050,coal_i,N2O_Emission,R12_RCPA,2050,M1,0.05441176470588235,???,1.4705882352941175,coal,0.037
+R12_RCPA,2050,coal_i,NH3_Emission,R12_RCPA,2050,M1,0.0002779411764705882,???,1.4705882352941175,coal,0.000189
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+R12_RCPA,2050,coal_i,SO2_Emission,R12_RCPA,2050,M1,23.817352941176466,???,1.4705882352941175,coal,16.1958
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+R12_RCPA,2050,eth_i,CO_Emission,R12_RCPA,2050,M1,3.348164705882353,???,1.1764705882352942,ethanol,2.84594
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+R12_RCPA,2050,eth_i,NOx_Emission,R12_RCPA,2050,M1,6.895411764705883,???,1.1764705882352942,ethanol,5.8611
+R12_RCPA,2050,eth_i,OCA_Emission,R12_RCPA,2050,M1,0.05688823529411765,???,1.1764705882352942,ethanol,0.048355
+R12_RCPA,2050,eth_i,VOC_Emission,R12_RCPA,2050,M1,0.874869411764706,???,1.1764705882352942,ethanol,0.743639
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+R12_RCPA,2050,foil_i,CH4_Emission,R12_RCPA,2050,M1,0.72,???,1.3333333333333333,fueloil,0.54
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+R12_RCPA,2050,foil_i,NOx_Emission,R12_RCPA,2050,M1,7.8148,???,1.3333333333333333,fueloil,5.8611
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+R12_RCPA,2055,foil_i,N2O_Emission,R12_RCPA,2055,M1,0.015594936708860759,???,1.2995780590717299,fueloil,0.012
+R12_RCPA,2055,foil_i,NH3_Emission,R12_RCPA,2055,M1,0.006036793248945147,???,1.2995780590717299,fueloil,0.004645194805194805
+R12_RCPA,2055,foil_i,NOx_Emission,R12_RCPA,2055,M1,7.222843037974684,???,1.2995780590717299,fueloil,5.557837012987013
+R12_RCPA,2055,foil_i,OCA_Emission,R12_RCPA,2055,M1,0.058711983122362865,???,1.2995780590717299,fueloil,0.04517772727272727
+R12_RCPA,2055,foil_i,SO2_Emission,R12_RCPA,2055,M1,3.015721434599156,???,1.2995780590717299,fueloil,2.320538896103896
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+R12_RCPA,2055,gas_i,NH3_Emission,R12_RCPA,2055,M1,0.004791626506024097,???,1.2274096385542168,gas,0.003903852760736197
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+R12_RCPA,2055,gas_i,SO2_Emission,R12_RCPA,2055,M1,0.3743746686746988,???,1.2274096385542168,gas,0.30501200000000006
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+R12_RCPA,2060,biomass_i,BCA_Emission,R12_RCPA,2060,M1,0.24604264705882353,???,1.4705882352941175,biomass,0.167309
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+R12_RCPA,2060,biomass_i,CO_Emission,R12_RCPA,2060,M1,13.977441176470586,???,1.4705882352941175,biomass,9.50466
+R12_RCPA,2060,biomass_i,N2O_Emission,R12_RCPA,2060,M1,0.14705882352941177,???,1.4705882352941175,biomass,0.1
+R12_RCPA,2060,biomass_i,NH3_Emission,R12_RCPA,2060,M1,0.191025,???,1.4705882352941175,biomass,0.129897
+R12_RCPA,2060,biomass_i,NOx_Emission,R12_RCPA,2060,M1,4.694088235294117,???,1.4705882352941175,biomass,3.19198
+R12_RCPA,2060,biomass_i,OCA_Emission,R12_RCPA,2060,M1,0.36906470588235296,???,1.4705882352941175,biomass,0.250964
+R12_RCPA,2060,biomass_i,SO2_Emission,R12_RCPA,2060,M1,3.3086617647058825,???,1.4705882352941175,biomass,2.24989
+R12_RCPA,2060,biomass_i,VOC_Emission,R12_RCPA,2060,M1,2.2363970588235293,???,1.4705882352941175,biomass,1.52075
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+R12_RCPA,2060,eth_i,NH3_Emission,R12_RCPA,2060,M1,0.005409411764705882,???,1.1764705882352942,ethanol,0.004598
+R12_RCPA,2060,eth_i,NOx_Emission,R12_RCPA,2060,M1,6.1628235294117655,???,1.1764705882352942,ethanol,5.2384
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+R12_RCPA,2060,eth_i,VOC_Emission,R12_RCPA,2060,M1,0.7793776470588236,???,1.1764705882352942,ethanol,0.662471
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+R12_RCPA,2060,foil_i,CH4_Emission,R12_RCPA,2060,M1,0.6835443037974683,???,1.2658227848101264,fueloil,0.54
+R12_RCPA,2060,foil_i,CO_Emission,R12_RCPA,2060,M1,3.3938227848101263,???,1.2658227848101264,fueloil,2.68112
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+R12_SAS,2025,gas_i,BCA_Emission,R12_SAS,2025,M1,0.0002987158243579122,???,1.4395194697597349,gas,0.0002075107913669065
+R12_SAS,2025,gas_i,CH4_Emission,R12_SAS,2025,M1,0.18713753106876554,???,1.4395194697597349,gas,0.13
+R12_SAS,2025,gas_i,CO_Emission,R12_SAS,2025,M1,1.558901926263463,???,1.4395194697597349,gas,1.082932158273381
+R12_SAS,2025,gas_i,N2O_Emission,R12_SAS,2025,M1,0.0028790389395194696,???,1.4395194697597349,gas,0.002
+R12_SAS,2025,gas_i,NH3_Emission,R12_SAS,2025,M1,0.006070422535211267,???,1.4395194697597349,gas,0.004216978417266187
+R12_SAS,2025,gas_i,NOx_Emission,R12_SAS,2025,M1,2.695079328914664,???,1.4395194697597349,gas,1.8722076258992804
+R12_SAS,2025,gas_i,OCA_Emission,R12_SAS,2025,M1,0.003340513670256835,???,1.4395194697597349,gas,0.0023205755395683454
+R12_SAS,2025,gas_i,SO2_Emission,R12_SAS,2025,M1,1.4485740472245234,???,1.4395194697597349,gas,1.00629
+R12_SAS,2025,gas_i,VOC_Emission,R12_SAS,2025,M1,0.08908010563380282,???,1.4395194697597349,gas,0.06188183453237411
+R12_SAS,2025,loil_i,BCA_Emission,R12_SAS,2025,M1,0.005464891041162228,???,1.6411084207694377,lightoil,0.00333
+R12_SAS,2025,loil_i,CO_Emission,R12_SAS,2025,M1,2.0381089588377725,???,1.6411084207694377,lightoil,1.24191
+R12_SAS,2025,loil_i,NH3_Emission,R12_SAS,2025,M1,0.007642641915523271,???,1.6411084207694377,lightoil,0.004657
+R12_SAS,2025,loil_i,NOx_Emission,R12_SAS,2025,M1,4.076201506591337,???,1.6411084207694377,lightoil,2.48381
+R12_SAS,2025,loil_i,OCA_Emission,R12_SAS,2025,M1,0.0008517352703793382,???,1.6411084207694377,lightoil,0.000519
+R12_SAS,2025,loil_i,SO2_Emission,R12_SAS,2025,M1,12.344351896690881,???,1.6411084207694377,lightoil,7.521960000000001
+R12_SAS,2025,loil_i,VOC_Emission,R12_SAS,2025,M1,0.20380925477535644,???,1.6411084207694377,lightoil,0.12418999999999998
+R12_SAS,2030,biomass_i,BCA_Emission,R12_SAS,2030,M1,0.45593928571428566,???,1.7857142857142856,biomass,0.255326
+R12_SAS,2030,biomass_i,CH4_Emission,R12_SAS,2030,M1,1.4285714285714286,???,1.7857142857142856,biomass,0.8
+R12_SAS,2030,biomass_i,CO_Emission,R12_SAS,2030,M1,17.014714285714284,???,1.7857142857142856,biomass,9.52824
+R12_SAS,2030,biomass_i,N2O_Emission,R12_SAS,2030,M1,0.17857142857142858,???,1.7857142857142856,biomass,0.1
+R12_SAS,2030,biomass_i,NH3_Emission,R12_SAS,2030,M1,0.2835785714285714,???,1.7857142857142856,biomass,0.158804
+R12_SAS,2030,biomass_i,NOx_Emission,R12_SAS,2030,M1,7.373035714285713,???,1.7857142857142856,biomass,4.1289
+R12_SAS,2030,biomass_i,OCA_Emission,R12_SAS,2030,M1,0.6799071428571427,???,1.7857142857142856,biomass,0.3807479999999999
+R12_SAS,2030,biomass_i,SO2_Emission,R12_SAS,2030,M1,2.8835892857142857,???,1.7857142857142856,biomass,1.61481
+R12_SAS,2030,biomass_i,VOC_Emission,R12_SAS,2030,M1,2.7223571428571427,???,1.7857142857142856,biomass,1.52452
+R12_SAS,2030,coal_i,BCA_Emission,R12_SAS,2030,M1,2.292796296296296,???,1.8518518518518516,coal,1.23811
+R12_SAS,2030,coal_i,CH4_Emission,R12_SAS,2030,M1,0.5,???,1.8518518518518516,coal,0.27
+R12_SAS,2030,coal_i,CO_Emission,R12_SAS,2030,M1,84.59888888888888,???,1.8518518518518516,coal,45.6834
+R12_SAS,2030,coal_i,N2O_Emission,R12_SAS,2030,M1,0.0685185185185185,???,1.8518518518518516,coal,0.037
+R12_SAS,2030,coal_i,NH3_Emission,R12_SAS,2030,M1,0.00039629629629629623,???,1.8518518518518516,coal,0.000214
+R12_SAS,2030,coal_i,NOx_Emission,R12_SAS,2030,M1,6.5305,???,1.8518518518518516,coal,3.52647
+R12_SAS,2030,coal_i,OCA_Emission,R12_SAS,2030,M1,1.0163129629629628,???,1.8518518518518516,coal,0.548809
+R12_SAS,2030,coal_i,SO2_Emission,R12_SAS,2030,M1,42.07166666666666,???,1.8518518518518516,coal,22.7187
+R12_SAS,2030,coal_i,VOC_Emission,R12_SAS,2030,M1,0.3837444444444444,???,1.8518518518518516,coal,0.207222
+R12_SAS,2030,eth_i,BCA_Emission,R12_SAS,2030,M1,0.004111111111111111,???,1.2345679012345678,ethanol,0.0033300000000000005
+R12_SAS,2030,eth_i,CO_Emission,R12_SAS,2030,M1,1.5332222222222223,???,1.2345679012345678,ethanol,1.24191
+R12_SAS,2030,eth_i,NH3_Emission,R12_SAS,2030,M1,0.005749382716049382,???,1.2345679012345678,ethanol,0.004657
+R12_SAS,2030,eth_i,NOx_Emission,R12_SAS,2030,M1,3.066432098765432,???,1.2345679012345678,ethanol,2.48381
+R12_SAS,2030,eth_i,OCA_Emission,R12_SAS,2030,M1,0.0006407407407407408,???,1.2345679012345678,ethanol,0.000519
+R12_SAS,2030,eth_i,VOC_Emission,R12_SAS,2030,M1,0.15332098765432098,???,1.2345679012345678,ethanol,0.12419
+R12_SAS,2030,foil_i,BCA_Emission,R12_SAS,2030,M1,0.005285714285714286,???,1.5873015873015872,fueloil,0.0033300000000000005
+R12_SAS,2030,foil_i,CH4_Emission,R12_SAS,2030,M1,0.8571428571428572,???,1.5873015873015872,fueloil,0.54
+R12_SAS,2030,foil_i,CO_Emission,R12_SAS,2030,M1,1.9712857142857143,???,1.5873015873015872,fueloil,1.24191
+R12_SAS,2030,foil_i,N2O_Emission,R12_SAS,2030,M1,0.019047619047619046,???,1.5873015873015872,fueloil,0.012
+R12_SAS,2030,foil_i,NH3_Emission,R12_SAS,2030,M1,0.0073920634920634914,???,1.5873015873015872,fueloil,0.004657
+R12_SAS,2030,foil_i,NOx_Emission,R12_SAS,2030,M1,3.9425555555555554,???,1.5873015873015872,fueloil,2.48381
+R12_SAS,2030,foil_i,OCA_Emission,R12_SAS,2030,M1,0.0008238095238095239,???,1.5873015873015872,fueloil,0.000519
+R12_SAS,2030,foil_i,SO2_Emission,R12_SAS,2030,M1,11.939619047619047,???,1.5873015873015872,fueloil,7.52196
+R12_SAS,2030,foil_i,VOC_Emission,R12_SAS,2030,M1,0.1971269841269841,???,1.5873015873015872,fueloil,0.12418999999999998
+R12_SAS,2030,gas_i,BCA_Emission,R12_SAS,2030,M1,0.0002915492957746479,???,1.4084507042253522,gas,0.000207
+R12_SAS,2030,gas_i,CH4_Emission,R12_SAS,2030,M1,0.1830985915492958,???,1.4084507042253522,gas,0.13
+R12_SAS,2030,gas_i,CO_Emission,R12_SAS,2030,M1,1.523112676056338,???,1.4084507042253522,gas,1.08141
+R12_SAS,2030,gas_i,N2O_Emission,R12_SAS,2030,M1,0.0028169014084507044,???,1.4084507042253522,gas,0.002
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+R12_SAS,2030,gas_i,NOx_Emission,R12_SAS,2030,M1,2.5700704225352116,???,1.4084507042253522,gas,1.82475
+R12_SAS,2030,gas_i,OCA_Emission,R12_SAS,2030,M1,0.003263380281690141,???,1.4084507042253522,gas,0.002317
+R12_SAS,2030,gas_i,SO2_Emission,R12_SAS,2030,M1,1.4173098591549296,???,1.4084507042253522,gas,1.00629
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+R12_SAS,2030,loil_i,CO_Emission,R12_SAS,2030,M1,1.9712857142857143,???,1.5873015873015872,lightoil,1.24191
+R12_SAS,2030,loil_i,NH3_Emission,R12_SAS,2030,M1,0.0073920634920634914,???,1.5873015873015872,lightoil,0.004657
+R12_SAS,2030,loil_i,NOx_Emission,R12_SAS,2030,M1,3.9425555555555554,???,1.5873015873015872,lightoil,2.48381
+R12_SAS,2030,loil_i,OCA_Emission,R12_SAS,2030,M1,0.0008238095238095239,???,1.5873015873015872,lightoil,0.000519
+R12_SAS,2030,loil_i,SO2_Emission,R12_SAS,2030,M1,11.939619047619047,???,1.5873015873015872,lightoil,7.52196
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+R12_SAS,2035,biomass_i,BCA_Emission,R12_SAS,2035,M1,0.4064908292978208,???,1.7403147699757868,biomass,0.23357316521739133
+R12_SAS,2035,biomass_i,CH4_Emission,R12_SAS,2035,M1,1.3922518159806296,???,1.7403147699757868,biomass,0.8000000000000002
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+R12_SAS,2035,biomass_i,SO2_Emission,R12_SAS,2035,M1,2.8102776937046006,???,1.7403147699757868,biomass,1.61481
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+R12_SAS,2035,coal_i,CO_Emission,R12_SAS,2035,M1,80.16893596986817,???,1.77338355304457,coal,45.20676637168141
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+R12_SAS,2035,eth_i,BCA_Emission,R12_SAS,2035,M1,0.004052543507362784,???,1.2196935891715008,ethanol,0.0033225914634146337
+R12_SAS,2035,eth_i,CO_Emission,R12_SAS,2035,M1,1.5147496653279786,???,1.2196935891715008,ethanol,1.24191
+R12_SAS,2035,eth_i,NH3_Emission,R12_SAS,2035,M1,0.005516257623084933,???,1.2196935891715008,ethanol,0.004522658536585366
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+R12_SAS,2035,foil_i,CH4_Emission,R12_SAS,2035,M1,0.8315565031982943,???,1.5399194503672113,fueloil,0.5400000000000001
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+R12_SAS,2035,loil_i,CO_Emission,R12_SAS,2035,M1,1.9124413646055438,???,1.5399194503672113,lightoil,1.2419100000000003
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+R12_SAS,2040,biomass_i,BCA_Emission,R12_SAS,2040,M1,0.357042372881356,???,1.6949152542372883,biomass,0.210655
+R12_SAS,2040,biomass_i,CH4_Emission,R12_SAS,2040,M1,1.3559322033898307,???,1.6949152542372883,biomass,0.8
+R12_SAS,2040,biomass_i,CO_Emission,R12_SAS,2040,M1,16.1495593220339,???,1.6949152542372883,biomass,9.528240000000002
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+R12_SAS,2040,coal_i,BCA_Emission,R12_SAS,2040,M1,1.731728813559322,???,1.6949152542372883,coal,1.02172
+R12_SAS,2040,coal_i,CH4_Emission,R12_SAS,2040,M1,0.45762711864406785,???,1.6949152542372883,coal,0.27
+R12_SAS,2040,coal_i,CO_Emission,R12_SAS,2040,M1,75.73898305084747,???,1.6949152542372883,coal,44.686
+R12_SAS,2040,coal_i,N2O_Emission,R12_SAS,2040,M1,0.06271186440677966,???,1.6949152542372883,coal,0.037
+R12_SAS,2040,coal_i,NH3_Emission,R12_SAS,2040,M1,0.00035762711864406783,???,1.6949152542372883,coal,0.000211
+R12_SAS,2040,coal_i,NOx_Emission,R12_SAS,2040,M1,5.190084745762713,???,1.6949152542372883,coal,3.0621500000000004
+R12_SAS,2040,coal_i,OCA_Emission,R12_SAS,2040,M1,0.767942372881356,???,1.6949152542372883,coal,0.45308600000000004
+R12_SAS,2040,coal_i,SO2_Emission,R12_SAS,2040,M1,32.96016949152543,???,1.6949152542372883,coal,19.4465
+R12_SAS,2040,coal_i,VOC_Emission,R12_SAS,2040,M1,0.35122372881355934,???,1.6949152542372883,coal,0.207222
+R12_SAS,2040,eth_i,BCA_Emission,R12_SAS,2040,M1,0.003993975903614458,???,1.2048192771084338,ethanol,0.003315
+R12_SAS,2040,eth_i,CO_Emission,R12_SAS,2040,M1,1.4962771084337352,???,1.2048192771084338,ethanol,1.24191
+R12_SAS,2040,eth_i,NH3_Emission,R12_SAS,2040,M1,0.0052831325301204825,???,1.2048192771084338,ethanol,0.004385
+R12_SAS,2040,eth_i,NOx_Emission,R12_SAS,2040,M1,2.7306987951807233,???,1.2048192771084338,ethanol,2.26648
+R12_SAS,2040,eth_i,OCA_Emission,R12_SAS,2040,M1,0.000619277108433735,???,1.2048192771084338,ethanol,0.000514
+R12_SAS,2040,eth_i,VOC_Emission,R12_SAS,2040,M1,0.14962650602409638,???,1.2048192771084338,ethanol,0.12419
+R12_SAS,2040,foil_i,BCA_Emission,R12_SAS,2040,M1,0.00494776119402985,???,1.4925373134328357,fueloil,0.0033149999999999994
+R12_SAS,2040,foil_i,CH4_Emission,R12_SAS,2040,M1,0.8059701492537313,???,1.4925373134328357,fueloil,0.54
+R12_SAS,2040,foil_i,CO_Emission,R12_SAS,2040,M1,1.853597014925373,???,1.4925373134328357,fueloil,1.24191
+R12_SAS,2040,foil_i,N2O_Emission,R12_SAS,2040,M1,0.017910447761194027,???,1.4925373134328357,fueloil,0.012
+R12_SAS,2040,foil_i,NH3_Emission,R12_SAS,2040,M1,0.0065447761194029844,???,1.4925373134328357,fueloil,0.004385
+R12_SAS,2040,foil_i,NOx_Emission,R12_SAS,2040,M1,3.3828059701492537,???,1.4925373134328357,fueloil,2.26648
+R12_SAS,2040,foil_i,OCA_Emission,R12_SAS,2040,M1,0.0007671641791044775,???,1.4925373134328357,fueloil,0.000514
+R12_SAS,2040,foil_i,SO2_Emission,R12_SAS,2040,M1,9.461507462686566,???,1.4925373134328357,fueloil,6.33921
+R12_SAS,2040,foil_i,VOC_Emission,R12_SAS,2040,M1,0.18535820895522387,???,1.4925373134328357,fueloil,0.12419000000000001
+R12_SAS,2040,gas_i,BCA_Emission,R12_SAS,2040,M1,0.0002797297297297297,???,1.3513513513513513,gas,0.000207
+R12_SAS,2040,gas_i,CH4_Emission,R12_SAS,2040,M1,0.17567567567567569,???,1.3513513513513513,gas,0.13
+R12_SAS,2040,gas_i,CO_Emission,R12_SAS,2040,M1,1.4409054054054053,???,1.3513513513513513,gas,1.06627
+R12_SAS,2040,gas_i,N2O_Emission,R12_SAS,2040,M1,0.002702702702702703,???,1.3513513513513513,gas,0.002
+R12_SAS,2040,gas_i,NH3_Emission,R12_SAS,2040,M1,0.005354054054054054,???,1.3513513513513513,gas,0.003962
+R12_SAS,2040,gas_i,NOx_Emission,R12_SAS,2040,M1,2.136797297297297,???,1.3513513513513513,gas,1.58123
+R12_SAS,2040,gas_i,OCA_Emission,R12_SAS,2040,M1,0.003131081081081081,???,1.3513513513513513,gas,0.002317
+R12_SAS,2040,gas_i,SO2_Emission,R12_SAS,2040,M1,1.3598513513513513,???,1.3513513513513513,gas,1.00629
+R12_SAS,2040,gas_i,VOC_Emission,R12_SAS,2040,M1,0.08350675675675676,???,1.3513513513513513,gas,0.061795
+R12_SAS,2040,loil_i,BCA_Emission,R12_SAS,2040,M1,0.00494776119402985,???,1.4925373134328357,lightoil,0.0033149999999999994
+R12_SAS,2040,loil_i,CO_Emission,R12_SAS,2040,M1,1.853597014925373,???,1.4925373134328357,lightoil,1.24191
+R12_SAS,2040,loil_i,NH3_Emission,R12_SAS,2040,M1,0.0065447761194029844,???,1.4925373134328357,lightoil,0.004385
+R12_SAS,2040,loil_i,NOx_Emission,R12_SAS,2040,M1,3.3828059701492537,???,1.4925373134328357,lightoil,2.26648
+R12_SAS,2040,loil_i,OCA_Emission,R12_SAS,2040,M1,0.0007671641791044775,???,1.4925373134328357,lightoil,0.000514
+R12_SAS,2040,loil_i,SO2_Emission,R12_SAS,2040,M1,9.461507462686566,???,1.4925373134328357,lightoil,6.33921
+R12_SAS,2040,loil_i,VOC_Emission,R12_SAS,2040,M1,0.18535820895522387,???,1.4925373134328357,lightoil,0.12419000000000001
+R12_SAS,2045,biomass_i,BCA_Emission,R12_SAS,2045,M1,0.31237844450519414,???,1.65390924002187,biomass,0.18887278512396696
+R12_SAS,2045,biomass_i,CH4_Emission,R12_SAS,2045,M1,1.3231273920174962,???,1.65390924002187,biomass,0.8000000000000002
+R12_SAS,2045,biomass_i,CO_Emission,R12_SAS,2045,M1,15.758844177145985,???,1.65390924002187,biomass,9.528240000000002
+R12_SAS,2045,biomass_i,N2O_Emission,R12_SAS,2045,M1,0.16539092400218702,???,1.65390924002187,biomass,0.10000000000000002
+R12_SAS,2045,biomass_i,NH3_Emission,R12_SAS,2045,M1,0.23529722525970476,???,1.65390924002187,biomass,0.14226731404958676
+R12_SAS,2045,biomass_i,NOx_Emission,R12_SAS,2045,M1,5.93994669218152,???,1.65390924002187,biomass,3.5914586776859503
+R12_SAS,2045,biomass_i,OCA_Emission,R12_SAS,2045,M1,0.46582569710224164,???,1.65390924002187,biomass,0.28165130578512393
+R12_SAS,2045,biomass_i,SO2_Emission,R12_SAS,2045,M1,2.6707491798797163,???,1.65390924002187,biomass,1.6148100000000003
+R12_SAS,2045,biomass_i,VOC_Emission,R12_SAS,2045,M1,2.5214177145981416,???,1.65390924002187,biomass,1.52452
+R12_SAS,2045,coal_i,BCA_Emission,R12_SAS,2045,M1,1.495031594279661,???,1.628707627118644,coal,0.9179250894308943
+R12_SAS,2045,coal_i,CH4_Emission,R12_SAS,2045,M1,0.43975105932203395,???,1.628707627118644,coal,0.27
+R12_SAS,2045,coal_i,CO_Emission,R12_SAS,2045,M1,72.00121027542373,???,1.628707627118644,coal,44.20757235772358
+R12_SAS,2045,coal_i,N2O_Emission,R12_SAS,2045,M1,0.06026218220338983,???,1.628707627118644,coal,0.037
+R12_SAS,2045,coal_i,NH3_Emission,R12_SAS,2045,M1,0.0003413135593220339,???,1.628707627118644,coal,0.0002095609756097561
+R12_SAS,2045,coal_i,NOx_Emission,R12_SAS,2045,M1,4.624597060381356,???,1.628707627118644,coal,2.839427398373984
+R12_SAS,2045,coal_i,OCA_Emission,R12_SAS,2045,M1,0.6631610301906781,???,1.628707627118644,coal,0.4071700894308944
+R12_SAS,2045,coal_i,SO2_Emission,R12_SAS,2045,M1,29.11617849576271,???,1.628707627118644,coal,17.876860162601627
+R12_SAS,2045,coal_i,VOC_Emission,R12_SAS,2045,M1,0.3375040519067797,???,1.628707627118644,coal,0.20722200000000002
+R12_SAS,2045,eth_i,BCA_Emission,R12_SAS,2045,M1,0.003938164422395464,???,1.190644932671864,ethanol,0.0033075892857142857
+R12_SAS,2045,eth_i,CO_Emission,R12_SAS,2045,M1,1.4786738483345148,???,1.190644932671864,ethanol,1.24191
+R12_SAS,2045,eth_i,NH3_Emission,R12_SAS,2045,M1,0.005061566265060241,???,1.190644932671864,ethanol,0.004251113095238095
+R12_SAS,2045,eth_i,NOx_Emission,R12_SAS,2045,M1,2.570725868178597,???,1.190644932671864,ethanol,2.1591036904761904
+R12_SAS,2045,eth_i,OCA_Emission,R12_SAS,2045,M1,0.0006096385542168675,???,1.190644932671864,ethanol,0.0005120238095238095
+R12_SAS,2045,eth_i,VOC_Emission,R12_SAS,2045,M1,0.14786619418851876,???,1.190644932671864,ethanol,0.12418999999999998
+R12_SAS,2045,foil_i,BCA_Emission,R12_SAS,2045,M1,0.0047978242589867565,???,1.4504940088290939,fueloil,0.0033077173913043482
+R12_SAS,2045,foil_i,CH4_Emission,R12_SAS,2045,M1,0.7832667647677107,???,1.4504940088290939,fueloil,0.54
+R12_SAS,2045,foil_i,CO_Emission,R12_SAS,2045,M1,1.8013830145049403,???,1.4504940088290939,fueloil,1.2419100000000003
+R12_SAS,2045,foil_i,N2O_Emission,R12_SAS,2045,M1,0.017405928105949126,???,1.4504940088290939,fueloil,0.012
+R12_SAS,2045,foil_i,NH3_Emission,R12_SAS,2045,M1,0.006169571158293041,???,1.4504940088290939,fueloil,0.004253427536231884
+R12_SAS,2045,foil_i,NOx_Emission,R12_SAS,2045,M1,3.1344593231027957,???,1.4504940088290939,fueloil,2.160959855072464
+R12_SAS,2045,foil_i,OCA_Emission,R12_SAS,2045,M1,0.0007427370191297036,???,1.4504940088290939,fueloil,0.0005120579710144928
+R12_SAS,2045,foil_i,SO2_Emission,R12_SAS,2045,M1,8.362063590498213,???,1.4504940088290939,fueloil,5.764976304347827
+R12_SAS,2045,foil_i,VOC_Emission,R12_SAS,2045,M1,0.18013685095648518,???,1.4504940088290939,fueloil,0.12419000000000001
+R12_SAS,2045,gas_i,BCA_Emission,R12_SAS,2045,M1,0.0002742804492804492,???,1.325026325026325,gas,0.00020699999999999996
+R12_SAS,2045,gas_i,CH4_Emission,R12_SAS,2045,M1,0.17225342225342227,???,1.325026325026325,gas,0.13
+R12_SAS,2045,gas_i,CO_Emission,R12_SAS,2045,M1,1.4030046507546508,???,1.325026325026325,gas,1.0588503973509933
+R12_SAS,2045,gas_i,N2O_Emission,R12_SAS,2045,M1,0.00265005265005265,???,1.325026325026325,gas,0.002
+R12_SAS,2045,gas_i,NH3_Emission,R12_SAS,2045,M1,0.005129624429624429,???,1.325026325026325,gas,0.0038713377483443707
+R12_SAS,2045,gas_i,NOx_Emission,R12_SAS,2045,M1,1.937035012285012,???,1.325026325026325,gas,1.4618841721854303
+R12_SAS,2045,gas_i,OCA_Emission,R12_SAS,2045,M1,0.003070085995085995,???,1.325026325026325,gas,0.002317
+R12_SAS,2045,gas_i,SO2_Emission,R12_SAS,2045,M1,1.3333607406107406,???,1.325026325026325,gas,1.0062900000000001
+R12_SAS,2045,gas_i,VOC_Emission,R12_SAS,2045,M1,0.08188000175500176,???,1.325026325026325,gas,0.06179500000000001
+R12_SAS,2045,loil_i,BCA_Emission,R12_SAS,2045,M1,0.0047978242589867565,???,1.4504940088290939,lightoil,0.0033077173913043482
+R12_SAS,2045,loil_i,CO_Emission,R12_SAS,2045,M1,1.8013830145049403,???,1.4504940088290939,lightoil,1.2419100000000003
+R12_SAS,2045,loil_i,NH3_Emission,R12_SAS,2045,M1,0.006169571158293041,???,1.4504940088290939,lightoil,0.004253427536231884
+R12_SAS,2045,loil_i,NOx_Emission,R12_SAS,2045,M1,3.1344593231027957,???,1.4504940088290939,lightoil,2.160959855072464
+R12_SAS,2045,loil_i,OCA_Emission,R12_SAS,2045,M1,0.0007427370191297036,???,1.4504940088290939,lightoil,0.0005120579710144928
+R12_SAS,2045,loil_i,SO2_Emission,R12_SAS,2045,M1,8.362063590498213,???,1.4504940088290939,lightoil,5.764976304347827
+R12_SAS,2045,loil_i,VOC_Emission,R12_SAS,2045,M1,0.18013685095648518,???,1.4504940088290939,lightoil,0.12419000000000001
+R12_SAS,2050,biomass_i,BCA_Emission,R12_SAS,2050,M1,0.26771451612903224,???,1.6129032258064517,biomass,0.165983
+R12_SAS,2050,biomass_i,CH4_Emission,R12_SAS,2050,M1,1.2903225806451615,???,1.6129032258064517,biomass,0.8
+R12_SAS,2050,biomass_i,CO_Emission,R12_SAS,2050,M1,15.368129032258066,???,1.6129032258064517,biomass,9.52824
+R12_SAS,2050,biomass_i,N2O_Emission,R12_SAS,2050,M1,0.16129032258064518,???,1.6129032258064517,biomass,0.1
+R12_SAS,2050,biomass_i,NH3_Emission,R12_SAS,2050,M1,0.2202758064516129,???,1.6129032258064517,biomass,0.136571
+R12_SAS,2050,biomass_i,NOx_Emission,R12_SAS,2050,M1,5.494096774193549,???,1.6129032258064517,biomass,3.40634
+R12_SAS,2050,biomass_i,OCA_Emission,R12_SAS,2050,M1,0.3992225806451613,???,1.6129032258064517,biomass,0.247518
+R12_SAS,2050,biomass_i,SO2_Emission,R12_SAS,2050,M1,2.6045322580645163,???,1.6129032258064517,biomass,1.6148099999999999
+R12_SAS,2050,biomass_i,VOC_Emission,R12_SAS,2050,M1,2.458903225806452,???,1.6129032258064517,biomass,1.52452
+R12_SAS,2050,coal_i,BCA_Emission,R12_SAS,2050,M1,1.258334375,???,1.5625,coal,0.805334
+R12_SAS,2050,coal_i,CH4_Emission,R12_SAS,2050,M1,0.421875,???,1.5625,coal,0.27
+R12_SAS,2050,coal_i,CO_Emission,R12_SAS,2050,M1,68.2634375,???,1.5625,coal,43.688599999999994
+R12_SAS,2050,coal_i,N2O_Emission,R12_SAS,2050,M1,0.057812499999999996,???,1.5625,coal,0.037
+R12_SAS,2050,coal_i,NH3_Emission,R12_SAS,2050,M1,0.000325,???,1.5625,coal,0.000208
+R12_SAS,2050,coal_i,NOx_Emission,R12_SAS,2050,M1,4.059109375,???,1.5625,coal,2.59783
+R12_SAS,2050,coal_i,OCA_Emission,R12_SAS,2050,M1,0.5583796875,???,1.5625,coal,0.357363
+R12_SAS,2050,coal_i,SO2_Emission,R12_SAS,2050,M1,25.272187499999998,???,1.5625,coal,16.1742
+R12_SAS,2050,coal_i,VOC_Emission,R12_SAS,2050,M1,0.32378437499999996,???,1.5625,coal,0.20722199999999996
+R12_SAS,2050,eth_i,BCA_Emission,R12_SAS,2050,M1,0.003882352941176471,???,1.1764705882352942,ethanol,0.0033
+R12_SAS,2050,eth_i,CO_Emission,R12_SAS,2050,M1,1.4610705882352943,???,1.1764705882352942,ethanol,1.24191
+R12_SAS,2050,eth_i,NH3_Emission,R12_SAS,2050,M1,0.00484,???,1.1764705882352942,ethanol,0.004114
+R12_SAS,2050,eth_i,NOx_Emission,R12_SAS,2050,M1,2.4107529411764705,???,1.1764705882352942,ethanol,2.04914
+R12_SAS,2050,eth_i,OCA_Emission,R12_SAS,2050,M1,0.0006000000000000001,???,1.1764705882352942,ethanol,0.00051
+R12_SAS,2050,eth_i,VOC_Emission,R12_SAS,2050,M1,0.14610588235294117,???,1.1764705882352942,ethanol,0.12419
+R12_SAS,2050,foil_i,BCA_Emission,R12_SAS,2050,M1,0.0046478873239436625,???,1.4084507042253522,fueloil,0.0033
+R12_SAS,2050,foil_i,CH4_Emission,R12_SAS,2050,M1,0.7605633802816902,???,1.4084507042253522,fueloil,0.54
+R12_SAS,2050,foil_i,CO_Emission,R12_SAS,2050,M1,1.7491690140845073,???,1.4084507042253522,fueloil,1.24191
+R12_SAS,2050,foil_i,N2O_Emission,R12_SAS,2050,M1,0.016901408450704227,???,1.4084507042253522,fueloil,0.012
+R12_SAS,2050,foil_i,NH3_Emission,R12_SAS,2050,M1,0.005794366197183098,???,1.4084507042253522,fueloil,0.004114
+R12_SAS,2050,foil_i,NOx_Emission,R12_SAS,2050,M1,2.8861126760563383,???,1.4084507042253522,fueloil,2.04914
+R12_SAS,2050,foil_i,OCA_Emission,R12_SAS,2050,M1,0.0007183098591549297,???,1.4084507042253522,fueloil,0.00051
+R12_SAS,2050,foil_i,SO2_Emission,R12_SAS,2050,M1,7.2626197183098595,???,1.4084507042253522,fueloil,5.15646
+R12_SAS,2050,foil_i,VOC_Emission,R12_SAS,2050,M1,0.1749154929577465,???,1.4084507042253522,fueloil,0.12419000000000001
+R12_SAS,2050,gas_i,BCA_Emission,R12_SAS,2050,M1,0.0002688311688311688,???,1.2987012987012987,gas,0.000207
+R12_SAS,2050,gas_i,CH4_Emission,R12_SAS,2050,M1,0.16883116883116883,???,1.2987012987012987,gas,0.13
+R12_SAS,2050,gas_i,CO_Emission,R12_SAS,2050,M1,1.365103896103896,???,1.2987012987012987,gas,1.05113
+R12_SAS,2050,gas_i,N2O_Emission,R12_SAS,2050,M1,0.0025974025974025974,???,1.2987012987012987,gas,0.002
+R12_SAS,2050,gas_i,NH3_Emission,R12_SAS,2050,M1,0.004905194805194805,???,1.2987012987012987,gas,0.0037769999999999995
+R12_SAS,2050,gas_i,NOx_Emission,R12_SAS,2050,M1,1.737272727272727,???,1.2987012987012987,gas,1.3377
+R12_SAS,2050,gas_i,OCA_Emission,R12_SAS,2050,M1,0.003009090909090909,???,1.2987012987012987,gas,0.002317
+R12_SAS,2050,gas_i,SO2_Emission,R12_SAS,2050,M1,1.3068701298701297,???,1.2987012987012987,gas,1.00629
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+R12_SAS,2070,eth_i,NOx_Emission,R12_SAS,2070,M1,2.1185411764705884,???,1.1764705882352942,ethanol,1.8007600000000001
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+R12_WEU,2020,loil_i,CO_Emission,R12_WEU,2020,M1,5.573367088607594,???,1.2658227848101264,lightoil,4.40296
+R12_WEU,2020,loil_i,NH3_Emission,R12_WEU,2020,M1,0.009384810126582276,???,1.2658227848101264,lightoil,0.007413999999999999
+R12_WEU,2020,loil_i,NOx_Emission,R12_WEU,2020,M1,9.645227848101264,???,1.2658227848101264,lightoil,7.61973
+R12_WEU,2020,loil_i,OCA_Emission,R12_WEU,2020,M1,0.1063898734177215,???,1.2658227848101264,lightoil,0.084048
+R12_WEU,2020,loil_i,SO2_Emission,R12_WEU,2020,M1,0.4642974683544303,???,1.2658227848101264,lightoil,0.366795
+R12_WEU,2020,loil_i,VOC_Emission,R12_WEU,2020,M1,2.3884430379746835,???,1.2658227848101264,lightoil,1.8868700000000003
+R12_WEU,2025,biomass_i,BCA_Emission,R12_WEU,2025,M1,0.027715064298836502,???,1.4288630332720964,biomass,0.01939658571428572
+R12_WEU,2025,biomass_i,CH4_Emission,R12_WEU,2025,M1,1.1430904266176771,???,1.4288630332720964,biomass,0.8
+R12_WEU,2025,biomass_i,CO_Emission,R12_WEU,2025,M1,0.06122535211267606,???,1.4288630332720964,biomass,0.042849
+R12_WEU,2025,biomass_i,N2O_Emission,R12_WEU,2025,M1,0.14288630332720964,???,1.4288630332720964,biomass,0.1
+R12_WEU,2025,biomass_i,NH3_Emission,R12_WEU,2025,M1,0.14146172688303738,???,1.4288630332720964,biomass,0.09900300000000001
+R12_WEU,2025,biomass_i,NOx_Emission,R12_WEU,2025,M1,4.351059399877526,???,1.4288630332720964,biomass,3.04512
+R12_WEU,2025,biomass_i,OCA_Emission,R12_WEU,2025,M1,0.014843406817717904,???,1.4288630332720964,biomass,0.010388264285714287
+R12_WEU,2025,biomass_i,SO2_Emission,R12_WEU,2025,M1,1.5700918554807106,???,1.4288630332720964,biomass,1.09884
+R12_WEU,2025,biomass_i,VOC_Emission,R12_WEU,2025,M1,1.7591590120432743,???,1.4288630332720964,biomass,1.23116
+R12_WEU,2025,coal_i,BCA_Emission,R12_WEU,2025,M1,0.0026066330414921965,???,1.3799010277883519,coal,0.0018889999999999998
+R12_WEU,2025,coal_i,CH4_Emission,R12_WEU,2025,M1,0.37257327750285496,???,1.3799010277883519,coal,0.26999999999999996
+R12_WEU,2025,coal_i,CO_Emission,R12_WEU,2025,M1,1.7716757708412638,???,1.3799010277883519,coal,1.2839151034482756
+R12_WEU,2025,coal_i,N2O_Emission,R12_WEU,2025,M1,0.051056338028169015,???,1.3799010277883519,coal,0.037
+R12_WEU,2025,coal_i,NH3_Emission,R12_WEU,2025,M1,0.002631471259992387,???,1.3799010277883519,coal,0.0019069999999999998
+R12_WEU,2025,coal_i,NOx_Emission,R12_WEU,2025,M1,4.185915968785688,???,1.3799010277883519,coal,3.03349
+R12_WEU,2025,coal_i,OCA_Emission,R12_WEU,2025,M1,0.0018683859916254282,???,1.3799010277883519,coal,0.0013539999999999997
+R12_WEU,2025,coal_i,SO2_Emission,R12_WEU,2025,M1,7.4019822992006095,???,1.3799010277883519,coal,5.36414
+R12_WEU,2025,coal_i,VOC_Emission,R12_WEU,2025,M1,0.39360986867148845,???,1.3799010277883519,coal,0.285245
+R12_WEU,2025,eth_i,BCA_Emission,R12_WEU,2025,M1,0.13344928895139863,???,1.2501953430223471,ethanol,0.10674274999999998
+R12_WEU,2025,eth_i,CO_Emission,R12_WEU,2025,M1,4.992689717143303,???,1.2501953430223471,ethanol,3.9935276875
+R12_WEU,2025,eth_i,NH3_Emission,R12_WEU,2025,M1,0.009268948273167682,???,1.2501953430223471,ethanol,0.0074140000000000005
+R12_WEU,2025,eth_i,NOx_Emission,R12_WEU,2025,M1,6.742780590717299,???,1.2501953430223471,ethanol,5.393381625
+R12_WEU,2025,eth_i,OCA_Emission,R12_WEU,2025,M1,0.06038876386935458,???,1.2501953430223471,ethanol,0.0483034625
+R12_WEU,2025,eth_i,VOC_Emission,R12_WEU,2025,M1,2.227585716518206,???,1.2501953430223471,ethanol,1.7817901250000001
+R12_WEU,2025,foil_i,BCA_Emission,R12_WEU,2025,M1,0.13344928895139863,???,1.2501953430223471,fueloil,0.10674274999999998
+R12_WEU,2025,foil_i,CH4_Emission,R12_WEU,2025,M1,0.6751054852320675,???,1.2501953430223471,fueloil,0.54
+R12_WEU,2025,foil_i,CO_Emission,R12_WEU,2025,M1,4.992689717143303,???,1.2501953430223471,fueloil,3.9935276875
+R12_WEU,2025,foil_i,N2O_Emission,R12_WEU,2025,M1,0.015002344116268166,???,1.2501953430223471,fueloil,0.012
+R12_WEU,2025,foil_i,NH3_Emission,R12_WEU,2025,M1,0.009268948273167682,???,1.2501953430223471,fueloil,0.0074140000000000005
+R12_WEU,2025,foil_i,NOx_Emission,R12_WEU,2025,M1,6.742780590717299,???,1.2501953430223471,fueloil,5.393381625
+R12_WEU,2025,foil_i,OCA_Emission,R12_WEU,2025,M1,0.06038876386935458,???,1.2501953430223471,fueloil,0.0483034625
+R12_WEU,2025,foil_i,SO2_Emission,R12_WEU,2025,M1,0.4417191045475855,???,1.2501953430223471,fueloil,0.35332006875
+R12_WEU,2025,foil_i,VOC_Emission,R12_WEU,2025,M1,2.227585716518206,???,1.2501953430223471,fueloil,1.7817901250000001
+R12_WEU,2025,gas_i,BCA_Emission,R12_WEU,2025,M1,0.0002023809523809524,???,1.1766334440753046,gas,0.000172
+R12_WEU,2025,gas_i,CH4_Emission,R12_WEU,2025,M1,0.15296234772978962,???,1.1766334440753046,gas,0.13000000000000003
+R12_WEU,2025,gas_i,CO_Emission,R12_WEU,2025,M1,0.6506411683277963,???,1.1766334440753046,gas,0.5529684470588235
+R12_WEU,2025,gas_i,N2O_Emission,R12_WEU,2025,M1,0.014119601328903655,???,1.1766334440753046,gas,0.012
+R12_WEU,2025,gas_i,NH3_Emission,R12_WEU,2025,M1,0.007382198228128461,???,1.1766334440753046,gas,0.006274
+R12_WEU,2025,gas_i,NOx_Emission,R12_WEU,2025,M1,2.058015088593577,???,1.1766334440753046,gas,1.749070705882353
+R12_WEU,2025,gas_i,OCA_Emission,R12_WEU,2025,M1,0.002265019379844961,???,1.1766334440753046,gas,0.0019249999999999998
+R12_WEU,2025,gas_i,SO2_Emission,R12_WEU,2025,M1,0.042795334994462905,???,1.1766334440753046,gas,0.036371
+R12_WEU,2025,gas_i,VOC_Emission,R12_WEU,2025,M1,0.06722130398671096,???,1.1766334440753046,gas,0.05713019999999999
+R12_WEU,2025,loil_i,BCA_Emission,R12_WEU,2025,M1,0.13344928895139863,???,1.2501953430223471,lightoil,0.10674274999999998
+R12_WEU,2025,loil_i,CO_Emission,R12_WEU,2025,M1,4.992689717143303,???,1.2501953430223471,lightoil,3.9935276875
+R12_WEU,2025,loil_i,NH3_Emission,R12_WEU,2025,M1,0.009268948273167682,???,1.2501953430223471,lightoil,0.0074140000000000005
+R12_WEU,2025,loil_i,NOx_Emission,R12_WEU,2025,M1,6.742780590717299,???,1.2501953430223471,lightoil,5.393381625
+R12_WEU,2025,loil_i,OCA_Emission,R12_WEU,2025,M1,0.06038876386935458,???,1.2501953430223471,lightoil,0.0483034625
+R12_WEU,2025,loil_i,SO2_Emission,R12_WEU,2025,M1,0.4417191045475855,???,1.2501953430223471,lightoil,0.35332006875
+R12_WEU,2025,loil_i,VOC_Emission,R12_WEU,2025,M1,2.227585716518206,???,1.2501953430223471,lightoil,1.7817901250000001
+R12_WEU,2030,biomass_i,BCA_Emission,R12_WEU,2030,M1,0.026860563380281696,???,1.4084507042253522,biomass,0.019071
+R12_WEU,2030,biomass_i,CH4_Emission,R12_WEU,2030,M1,1.1267605633802817,???,1.4084507042253522,biomass,0.7999999999999999
+R12_WEU,2030,biomass_i,CO_Emission,R12_WEU,2030,M1,0.06035070422535212,???,1.4084507042253522,biomass,0.042849
+R12_WEU,2030,biomass_i,N2O_Emission,R12_WEU,2030,M1,0.14084507042253522,???,1.4084507042253522,biomass,0.09999999999999999
+R12_WEU,2030,biomass_i,NH3_Emission,R12_WEU,2030,M1,0.13944084507042254,???,1.4084507042253522,biomass,0.099003
+R12_WEU,2030,biomass_i,NOx_Emission,R12_WEU,2030,M1,4.2889014084507044,???,1.4084507042253522,biomass,3.04512
+R12_WEU,2030,biomass_i,OCA_Emission,R12_WEU,2030,M1,0.014554929577464789,???,1.4084507042253522,biomass,0.010334
+R12_WEU,2030,biomass_i,SO2_Emission,R12_WEU,2030,M1,1.547661971830986,???,1.4084507042253522,biomass,1.09884
+R12_WEU,2030,biomass_i,VOC_Emission,R12_WEU,2030,M1,1.7340281690140846,???,1.4084507042253522,biomass,1.23116
+R12_WEU,2030,coal_i,BCA_Emission,R12_WEU,2030,M1,0.002552702702702703,???,1.3513513513513513,coal,0.0018890000000000003
+R12_WEU,2030,coal_i,CH4_Emission,R12_WEU,2030,M1,0.36486486486486486,???,1.3513513513513513,coal,0.27
+R12_WEU,2030,coal_i,CO_Emission,R12_WEU,2030,M1,1.6560135135135134,???,1.3513513513513513,coal,1.22545
+R12_WEU,2030,coal_i,N2O_Emission,R12_WEU,2030,M1,0.049999999999999996,???,1.3513513513513513,coal,0.037
+R12_WEU,2030,coal_i,NH3_Emission,R12_WEU,2030,M1,0.002577027027027027,???,1.3513513513513513,coal,0.0019069999999999998
+R12_WEU,2030,coal_i,NOx_Emission,R12_WEU,2030,M1,4.0993108108108105,???,1.3513513513513513,coal,3.03349
+R12_WEU,2030,coal_i,OCA_Emission,R12_WEU,2030,M1,0.0018297297297297295,???,1.3513513513513513,coal,0.001354
+R12_WEU,2030,coal_i,SO2_Emission,R12_WEU,2030,M1,7.248837837837837,???,1.3513513513513513,coal,5.36414
+R12_WEU,2030,coal_i,VOC_Emission,R12_WEU,2030,M1,0.38546621621621624,???,1.3513513513513513,coal,0.285245
+R12_WEU,2030,eth_i,BCA_Emission,R12_WEU,2030,M1,0.03220617283950617,???,1.2345679012345678,ethanol,0.026087
+R12_WEU,2030,eth_i,CO_Emission,R12_WEU,2030,M1,4.412012345679012,???,1.2345679012345678,ethanol,3.5737300000000003
+R12_WEU,2030,eth_i,NH3_Emission,R12_WEU,2030,M1,0.009153086419753086,???,1.2345679012345678,ethanol,0.0074140000000000005
+R12_WEU,2030,eth_i,NOx_Emission,R12_WEU,2030,M1,3.8403333333333327,???,1.2345679012345678,ethanol,3.11067
+R12_WEU,2030,eth_i,OCA_Emission,R12_WEU,2030,M1,0.014387654320987653,???,1.2345679012345678,ethanol,0.011654
+R12_WEU,2030,eth_i,VOC_Emission,R12_WEU,2030,M1,2.066728395061728,???,1.2345679012345678,ethanol,1.6740499999999998
+R12_WEU,2030,foil_i,BCA_Emission,R12_WEU,2030,M1,0.03220617283950617,???,1.2345679012345678,fueloil,0.026087
+R12_WEU,2030,foil_i,CH4_Emission,R12_WEU,2030,M1,0.6666666666666666,???,1.2345679012345678,fueloil,0.54
+R12_WEU,2030,foil_i,CO_Emission,R12_WEU,2030,M1,4.412012345679012,???,1.2345679012345678,fueloil,3.5737300000000003
+R12_WEU,2030,foil_i,N2O_Emission,R12_WEU,2030,M1,0.014814814814814814,???,1.2345679012345678,fueloil,0.012
+R12_WEU,2030,foil_i,NH3_Emission,R12_WEU,2030,M1,0.009153086419753086,???,1.2345679012345678,fueloil,0.0074140000000000005
+R12_WEU,2030,foil_i,NOx_Emission,R12_WEU,2030,M1,3.8403333333333327,???,1.2345679012345678,fueloil,3.11067
+R12_WEU,2030,foil_i,OCA_Emission,R12_WEU,2030,M1,0.014387654320987653,???,1.2345679012345678,fueloil,0.011654
+R12_WEU,2030,foil_i,SO2_Emission,R12_WEU,2030,M1,0.4191407407407407,???,1.2345679012345678,fueloil,0.339504
+R12_WEU,2030,foil_i,VOC_Emission,R12_WEU,2030,M1,2.066728395061728,???,1.2345679012345678,fueloil,1.6740499999999998
+R12_WEU,2030,gas_i,BCA_Emission,R12_WEU,2030,M1,0.0002,???,1.1627906976744187,gas,0.000172
+R12_WEU,2030,gas_i,CH4_Emission,R12_WEU,2030,M1,0.15116279069767444,???,1.1627906976744187,gas,0.13
+R12_WEU,2030,gas_i,CO_Emission,R12_WEU,2030,M1,0.6221918604651163,???,1.1627906976744187,gas,0.535085
+R12_WEU,2030,gas_i,N2O_Emission,R12_WEU,2030,M1,0.013953488372093025,???,1.1627906976744187,gas,0.012
+R12_WEU,2030,gas_i,NH3_Emission,R12_WEU,2030,M1,0.007295348837209303,???,1.1627906976744187,gas,0.006274
+R12_WEU,2030,gas_i,NOx_Emission,R12_WEU,2030,M1,2.029232558139535,???,1.1627906976744187,gas,1.74514
+R12_WEU,2030,gas_i,OCA_Emission,R12_WEU,2030,M1,0.002238372093023256,???,1.1627906976744187,gas,0.001925
+R12_WEU,2030,gas_i,SO2_Emission,R12_WEU,2030,M1,0.04229186046511628,???,1.1627906976744187,gas,0.036371
+R12_WEU,2030,gas_i,VOC_Emission,R12_WEU,2030,M1,0.06596046511627907,???,1.1627906976744187,gas,0.05672599999999999
+R12_WEU,2030,loil_i,BCA_Emission,R12_WEU,2030,M1,0.03220617283950617,???,1.2345679012345678,lightoil,0.026087
+R12_WEU,2030,loil_i,CO_Emission,R12_WEU,2030,M1,4.412012345679012,???,1.2345679012345678,lightoil,3.5737300000000003
+R12_WEU,2030,loil_i,NH3_Emission,R12_WEU,2030,M1,0.009153086419753086,???,1.2345679012345678,lightoil,0.0074140000000000005
+R12_WEU,2030,loil_i,NOx_Emission,R12_WEU,2030,M1,3.8403333333333327,???,1.2345679012345678,lightoil,3.11067
+R12_WEU,2030,loil_i,OCA_Emission,R12_WEU,2030,M1,0.014387654320987653,???,1.2345679012345678,lightoil,0.011654
+R12_WEU,2030,loil_i,SO2_Emission,R12_WEU,2030,M1,0.4191407407407407,???,1.2345679012345678,lightoil,0.339504
+R12_WEU,2030,loil_i,VOC_Emission,R12_WEU,2030,M1,2.066728395061728,???,1.2345679012345678,lightoil,1.6740499999999998
+R12_WEU,2035,biomass_i,BCA_Emission,R12_WEU,2035,M1,0.02421452826548331,???,1.3891568589619911,biomass,0.017431097222222223
+R12_WEU,2035,biomass_i,CH4_Emission,R12_WEU,2035,M1,1.111325487169593,???,1.3891568589619911,biomass,0.8
+R12_WEU,2035,biomass_i,CO_Emission,R12_WEU,2035,M1,0.059523982249662356,???,1.3891568589619911,biomass,0.042849
+R12_WEU,2035,biomass_i,N2O_Emission,R12_WEU,2035,M1,0.13891568589619913,???,1.3891568589619911,biomass,0.1
+R12_WEU,2035,biomass_i,NH3_Emission,R12_WEU,2035,M1,0.13555740883658113,???,1.3891568589619911,biomass,0.09758250694444444
+R12_WEU,2035,biomass_i,NOx_Emission,R12_WEU,2035,M1,4.12964248504727,???,1.3891568589619911,biomass,2.972769027777778
+R12_WEU,2035,biomass_i,OCA_Emission,R12_WEU,2035,M1,0.013127464788732394,???,1.3891568589619911,biomass,0.009449951388888888
+R12_WEU,2035,biomass_i,SO2_Emission,R12_WEU,2035,M1,1.5050638626278219,???,1.3891568589619911,biomass,1.0834369444444445
+R12_WEU,2035,biomass_i,VOC_Emission,R12_WEU,2035,M1,1.7102743584796452,???,1.3891568589619911,biomass,1.23116
+R12_WEU,2035,coal_i,BCA_Emission,R12_WEU,2035,M1,0.00229518252018252,???,1.325026325026325,coal,0.0017321788079470199
+R12_WEU,2035,coal_i,CH4_Emission,R12_WEU,2035,M1,0.3577571077571078,???,1.325026325026325,coal,0.27
+R12_WEU,2035,coal_i,CO_Emission,R12_WEU,2035,M1,1.6223184450684451,???,1.325026325026325,coal,1.2243669536423842
+R12_WEU,2035,coal_i,N2O_Emission,R12_WEU,2035,M1,0.04902597402597402,???,1.325026325026325,coal,0.037
+R12_WEU,2035,coal_i,NH3_Emission,R12_WEU,2035,M1,0.0024008511758511755,???,1.325026325026325,coal,0.0018119271523178806
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+R12_WEU,2035,coal_i,OCA_Emission,R12_WEU,2035,M1,0.0016538259038259037,???,1.325026325026325,coal,0.0012481456953642384
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+R12_WEU,2035,coal_i,VOC_Emission,R12_WEU,2035,M1,0.3779571340821341,???,1.325026325026325,coal,0.285245
+R12_WEU,2035,eth_i,BCA_Emission,R12_WEU,2035,M1,0.03133742376915068,???,1.2196935891715008,ethanol,0.025692865853658535
+R12_WEU,2035,eth_i,CO_Emission,R12_WEU,2035,M1,4.3560182210322775,???,1.2196935891715008,ethanol,3.5714037195121953
+R12_WEU,2035,eth_i,NH3_Emission,R12_WEU,2035,M1,0.009042808270117508,???,1.2196935891715008,ethanol,0.0074140000000000005
+R12_WEU,2035,eth_i,NOx_Emission,R12_WEU,2035,M1,3.6110702811244977,???,1.2196935891715008,ethanol,2.9606372560975607
+R12_WEU,2035,eth_i,OCA_Emission,R12_WEU,2035,M1,0.013996236799048043,???,1.2196935891715008,ethanol,0.01147520731707317
+R12_WEU,2035,eth_i,VOC_Emission,R12_WEU,2035,M1,1.9115208240368884,???,1.2196935891715008,ethanol,1.5672139634146343
+R12_WEU,2035,foil_i,BCA_Emission,R12_WEU,2035,M1,0.03133742376915068,???,1.2196935891715008,fueloil,0.025692865853658535
+R12_WEU,2035,foil_i,CH4_Emission,R12_WEU,2035,M1,0.6586345381526104,???,1.2196935891715008,fueloil,0.5399999999999999
+R12_WEU,2035,foil_i,CO_Emission,R12_WEU,2035,M1,4.3560182210322775,???,1.2196935891715008,fueloil,3.5714037195121953
+R12_WEU,2035,foil_i,N2O_Emission,R12_WEU,2035,M1,0.014636323070058011,???,1.2196935891715008,fueloil,0.012
+R12_WEU,2035,foil_i,NH3_Emission,R12_WEU,2035,M1,0.009042808270117508,???,1.2196935891715008,fueloil,0.0074140000000000005
+R12_WEU,2035,foil_i,NOx_Emission,R12_WEU,2035,M1,3.6110702811244977,???,1.2196935891715008,fueloil,2.9606372560975607
+R12_WEU,2035,foil_i,OCA_Emission,R12_WEU,2035,M1,0.013996236799048043,???,1.2196935891715008,fueloil,0.01147520731707317
+R12_WEU,2035,foil_i,SO2_Emission,R12_WEU,2035,M1,0.39376555109326195,???,1.2196935891715008,fueloil,0.32283973170731706
+R12_WEU,2035,foil_i,VOC_Emission,R12_WEU,2035,M1,1.9115208240368884,???,1.2196935891715008,fueloil,1.5672139634146343
+R12_WEU,2035,gas_i,BCA_Emission,R12_WEU,2035,M1,0.00019772727272727276,???,1.1495771670190276,gas,0.000172
+R12_WEU,2035,gas_i,CH4_Emission,R12_WEU,2035,M1,0.14944503171247359,???,1.1495771670190276,gas,0.13
+R12_WEU,2035,gas_i,CO_Emission,R12_WEU,2035,M1,0.6112254756871036,???,1.1495771670190276,gas,0.531695908045977
+R12_WEU,2035,gas_i,N2O_Emission,R12_WEU,2035,M1,0.013794926004228332,???,1.1495771670190276,gas,0.012
+R12_WEU,2035,gas_i,NH3_Emission,R12_WEU,2035,M1,0.007179492600422834,???,1.1495771670190276,gas,0.006245333333333334
+R12_WEU,2035,gas_i,NOx_Emission,R12_WEU,2035,M1,1.8939003699788586,???,1.1495771670190276,gas,1.6474756321839081
+R12_WEU,2035,gas_i,OCA_Emission,R12_WEU,2035,M1,0.0022129360465116283,???,1.1495771670190276,gas,0.0019250000000000003
+R12_WEU,2035,gas_i,SO2_Emission,R12_WEU,2035,M1,0.04181127114164905,???,1.1495771670190276,gas,0.036371
+R12_WEU,2035,gas_i,VOC_Emission,R12_WEU,2035,M1,0.06521091437632134,???,1.1495771670190276,gas,0.056725999999999985
+R12_WEU,2035,loil_i,BCA_Emission,R12_WEU,2035,M1,0.03133742376915068,???,1.2196935891715008,lightoil,0.025692865853658535
+R12_WEU,2035,loil_i,CO_Emission,R12_WEU,2035,M1,4.3560182210322775,???,1.2196935891715008,lightoil,3.5714037195121953
+R12_WEU,2035,loil_i,NH3_Emission,R12_WEU,2035,M1,0.009042808270117508,???,1.2196935891715008,lightoil,0.0074140000000000005
+R12_WEU,2035,loil_i,NOx_Emission,R12_WEU,2035,M1,3.6110702811244977,???,1.2196935891715008,lightoil,2.9606372560975607
+R12_WEU,2035,loil_i,OCA_Emission,R12_WEU,2035,M1,0.013996236799048043,???,1.2196935891715008,lightoil,0.01147520731707317
+R12_WEU,2035,loil_i,SO2_Emission,R12_WEU,2035,M1,0.39376555109326195,???,1.2196935891715008,lightoil,0.32283973170731706
+R12_WEU,2035,loil_i,VOC_Emission,R12_WEU,2035,M1,1.9115208240368884,???,1.2196935891715008,lightoil,1.5672139634146343
+R12_WEU,2040,biomass_i,BCA_Emission,R12_WEU,2040,M1,0.021568493150684927,???,1.36986301369863,biomass,0.015745
+R12_WEU,2040,biomass_i,CH4_Emission,R12_WEU,2040,M1,1.095890410958904,???,1.36986301369863,biomass,0.8
+R12_WEU,2040,biomass_i,CO_Emission,R12_WEU,2040,M1,0.058697260273972596,???,1.36986301369863,biomass,0.042849
+R12_WEU,2040,biomass_i,N2O_Emission,R12_WEU,2040,M1,0.136986301369863,???,1.36986301369863,biomass,0.1
+R12_WEU,2040,biomass_i,NH3_Emission,R12_WEU,2040,M1,0.13167397260273972,???,1.36986301369863,biomass,0.096122
+R12_WEU,2040,biomass_i,NOx_Emission,R12_WEU,2040,M1,3.9703835616438354,???,1.36986301369863,biomass,2.89838
+R12_WEU,2040,biomass_i,OCA_Emission,R12_WEU,2040,M1,0.011699999999999999,???,1.36986301369863,biomass,0.008541
+R12_WEU,2040,biomass_i,SO2_Emission,R12_WEU,2040,M1,1.4624657534246577,???,1.36986301369863,biomass,1.0676
+R12_WEU,2040,biomass_i,VOC_Emission,R12_WEU,2040,M1,1.6865205479452055,???,1.36986301369863,biomass,1.23116
+R12_WEU,2040,coal_i,BCA_Emission,R12_WEU,2040,M1,0.0020376623376623377,???,1.2987012987012987,coal,0.001569
+R12_WEU,2040,coal_i,CH4_Emission,R12_WEU,2040,M1,0.35064935064935066,???,1.2987012987012987,coal,0.27
+R12_WEU,2040,coal_i,CO_Emission,R12_WEU,2040,M1,1.5886233766233768,???,1.2987012987012987,coal,1.22324
+R12_WEU,2040,coal_i,N2O_Emission,R12_WEU,2040,M1,0.04805194805194805,???,1.2987012987012987,coal,0.037
+R12_WEU,2040,coal_i,NH3_Emission,R12_WEU,2040,M1,0.0022246753246753246,???,1.2987012987012987,coal,0.001713
+R12_WEU,2040,coal_i,NOx_Emission,R12_WEU,2040,M1,3.509233766233766,???,1.2987012987012987,coal,2.70211
+R12_WEU,2040,coal_i,OCA_Emission,R12_WEU,2040,M1,0.0014779220779220779,???,1.2987012987012987,coal,0.001138
+R12_WEU,2040,coal_i,SO2_Emission,R12_WEU,2040,M1,6.285701298701299,???,1.2987012987012987,coal,4.83999
+R12_WEU,2040,coal_i,VOC_Emission,R12_WEU,2040,M1,0.37044805194805197,???,1.2987012987012987,coal,0.285245
+R12_WEU,2040,eth_i,BCA_Emission,R12_WEU,2040,M1,0.030468674698795183,???,1.2048192771084338,ethanol,0.025289
+R12_WEU,2040,eth_i,CO_Emission,R12_WEU,2040,M1,4.300024096385543,???,1.2048192771084338,ethanol,3.56902
+R12_WEU,2040,eth_i,NH3_Emission,R12_WEU,2040,M1,0.008932530120481928,???,1.2048192771084338,ethanol,0.007414
+R12_WEU,2040,eth_i,NOx_Emission,R12_WEU,2040,M1,3.381807228915663,???,1.2048192771084338,ethanol,2.8069
+R12_WEU,2040,eth_i,OCA_Emission,R12_WEU,2040,M1,0.013604819277108434,???,1.2048192771084338,ethanol,0.011292
+R12_WEU,2040,eth_i,VOC_Emission,R12_WEU,2040,M1,1.7563132530120484,???,1.2048192771084338,ethanol,1.45774
+R12_WEU,2040,foil_i,BCA_Emission,R12_WEU,2040,M1,0.030468674698795183,???,1.2048192771084338,fueloil,0.025289
+R12_WEU,2040,foil_i,CH4_Emission,R12_WEU,2040,M1,0.6506024096385543,???,1.2048192771084338,fueloil,0.54
+R12_WEU,2040,foil_i,CO_Emission,R12_WEU,2040,M1,4.300024096385543,???,1.2048192771084338,fueloil,3.56902
+R12_WEU,2040,foil_i,N2O_Emission,R12_WEU,2040,M1,0.014457831325301207,???,1.2048192771084338,fueloil,0.012
+R12_WEU,2040,foil_i,NH3_Emission,R12_WEU,2040,M1,0.008932530120481928,???,1.2048192771084338,fueloil,0.007414
+R12_WEU,2040,foil_i,NOx_Emission,R12_WEU,2040,M1,3.381807228915663,???,1.2048192771084338,fueloil,2.8069
+R12_WEU,2040,foil_i,OCA_Emission,R12_WEU,2040,M1,0.013604819277108434,???,1.2048192771084338,fueloil,0.011292
+R12_WEU,2040,foil_i,SO2_Emission,R12_WEU,2040,M1,0.36839036144578313,???,1.2048192771084338,fueloil,0.305764
+R12_WEU,2040,foil_i,VOC_Emission,R12_WEU,2040,M1,1.7563132530120484,???,1.2048192771084338,fueloil,1.45774
+R12_WEU,2040,gas_i,BCA_Emission,R12_WEU,2040,M1,0.00019545454545454548,???,1.1363636363636365,gas,0.000172
+R12_WEU,2040,gas_i,CH4_Emission,R12_WEU,2040,M1,0.14772727272727273,???,1.1363636363636365,gas,0.13
+R12_WEU,2040,gas_i,CO_Emission,R12_WEU,2040,M1,0.600259090909091,???,1.1363636363636365,gas,0.528228
+R12_WEU,2040,gas_i,N2O_Emission,R12_WEU,2040,M1,0.013636363636363637,???,1.1363636363636365,gas,0.012
+R12_WEU,2040,gas_i,NH3_Emission,R12_WEU,2040,M1,0.007063636363636365,???,1.1363636363636365,gas,0.006216
+R12_WEU,2040,gas_i,NOx_Emission,R12_WEU,2040,M1,1.758568181818182,???,1.1363636363636365,gas,1.54754
+R12_WEU,2040,gas_i,OCA_Emission,R12_WEU,2040,M1,0.0021875,???,1.1363636363636365,gas,0.001925
+R12_WEU,2040,gas_i,SO2_Emission,R12_WEU,2040,M1,0.04133068181818182,???,1.1363636363636365,gas,0.036371
+R12_WEU,2040,gas_i,VOC_Emission,R12_WEU,2040,M1,0.06446136363636364,???,1.1363636363636365,gas,0.05672599999999999
+R12_WEU,2040,loil_i,BCA_Emission,R12_WEU,2040,M1,0.030468674698795183,???,1.2048192771084338,lightoil,0.025289
+R12_WEU,2040,loil_i,CO_Emission,R12_WEU,2040,M1,4.300024096385543,???,1.2048192771084338,lightoil,3.56902
+R12_WEU,2040,loil_i,NH3_Emission,R12_WEU,2040,M1,0.008932530120481928,???,1.2048192771084338,lightoil,0.007414
+R12_WEU,2040,loil_i,NOx_Emission,R12_WEU,2040,M1,3.381807228915663,???,1.2048192771084338,lightoil,2.8069
+R12_WEU,2040,loil_i,OCA_Emission,R12_WEU,2040,M1,0.013604819277108434,???,1.2048192771084338,lightoil,0.011292
+R12_WEU,2040,loil_i,SO2_Emission,R12_WEU,2040,M1,0.36839036144578313,???,1.2048192771084338,lightoil,0.305764
+R12_WEU,2040,loil_i,VOC_Emission,R12_WEU,2040,M1,1.7563132530120484,???,1.2048192771084338,lightoil,1.45774
+R12_WEU,2045,biomass_i,BCA_Emission,R12_WEU,2045,M1,0.0190635799086758,???,1.3515981735159817,biomass,0.014104472972972973
+R12_WEU,2045,biomass_i,CH4_Emission,R12_WEU,2045,M1,1.0812785388127852,???,1.3515981735159817,biomass,0.7999999999999999
+R12_WEU,2045,biomass_i,CO_Emission,R12_WEU,2045,M1,0.05791463013698629,???,1.3515981735159817,biomass,0.042849
+R12_WEU,2045,biomass_i,N2O_Emission,R12_WEU,2045,M1,0.13515981735159815,???,1.3515981735159817,biomass,0.09999999999999999
+R12_WEU,2045,biomass_i,NH3_Emission,R12_WEU,2045,M1,0.12799765296803653,???,1.3515981735159817,biomass,0.09470096621621622
+R12_WEU,2045,biomass_i,NOx_Emission,R12_WEU,2045,M1,3.819618447488584,???,1.3515981735159817,biomass,2.8260014864864864
+R12_WEU,2045,biomass_i,OCA_Emission,R12_WEU,2045,M1,0.010349333333333332,???,1.3515981735159817,biomass,0.007657108108108108
+R12_WEU,2045,biomass_i,SO2_Emission,R12_WEU,2045,M1,1.4221395433789954,???,1.3515981735159817,biomass,1.052191081081081
+R12_WEU,2045,biomass_i,VOC_Emission,R12_WEU,2045,M1,1.664033607305936,???,1.3515981735159817,biomass,1.23116
+R12_WEU,2045,coal_i,BCA_Emission,R12_WEU,2045,M1,0.001800081168831169,???,1.2743506493506493,coal,0.001412547770700637
+R12_WEU,2045,coal_i,CH4_Emission,R12_WEU,2045,M1,0.34407467532467534,???,1.2743506493506493,coal,0.27
+R12_WEU,2045,coal_i,CO_Emission,R12_WEU,2045,M1,1.5574491883116885,???,1.2743506493506493,coal,1.222151210191083
+R12_WEU,2045,coal_i,N2O_Emission,R12_WEU,2045,M1,0.04715097402597403,???,1.2743506493506493,coal,0.037
+R12_WEU,2045,coal_i,NH3_Emission,R12_WEU,2045,M1,0.0020617126623376624,???,1.2743506493506493,coal,0.0016178535031847133
+R12_WEU,2045,coal_i,NOx_Emission,R12_WEU,2045,M1,3.236323133116883,???,1.2743506493506493,coal,2.539586050955414
+R12_WEU,2045,coal_i,OCA_Emission,R12_WEU,2045,M1,0.001315836038961039,???,1.2743506493506493,coal,0.0010325541401273886
+R12_WEU,2045,coal_i,SO2_Emission,R12_WEU,2045,M1,5.840250649350649,???,1.2743506493506493,coal,4.58292280254777
+R12_WEU,2045,coal_i,VOC_Emission,R12_WEU,2045,M1,0.363502150974026,???,1.2743506493506493,coal,0.285245
+R12_WEU,2045,eth_i,BCA_Emission,R12_WEU,2045,M1,0.029641396172927003,???,1.190644932671864,ethanol,0.024895244047619048
+R12_WEU,2045,eth_i,CO_Emission,R12_WEU,2045,M1,4.246664989369242,???,1.190644932671864,ethanol,3.5666930357142856
+R12_WEU,2045,eth_i,NH3_Emission,R12_WEU,2045,M1,0.008827441530829198,???,1.190644932671864,ethanol,0.007413999999999999
+R12_WEU,2045,eth_i,NOx_Emission,R12_WEU,2045,M1,3.1633330262225376,???,1.190644932671864,ethanol,2.656823154761905
+R12_WEU,2045,eth_i,OCA_Emission,R12_WEU,2045,M1,0.0132318214032601,???,1.190644932671864,ethanol,0.011113154761904762
+R12_WEU,2045,eth_i,VOC_Emission,R12_WEU,2045,M1,1.6084036853295536,???,1.190644932671864,ethanol,1.350867619047619
+R12_WEU,2045,foil_i,BCA_Emission,R12_WEU,2045,M1,0.029641396172927003,???,1.190644932671864,fueloil,0.024895244047619048
+R12_WEU,2045,foil_i,CH4_Emission,R12_WEU,2045,M1,0.6429482636428066,???,1.190644932671864,fueloil,0.54
+R12_WEU,2045,foil_i,CO_Emission,R12_WEU,2045,M1,4.246664989369242,???,1.190644932671864,fueloil,3.5666930357142856
+R12_WEU,2045,foil_i,N2O_Emission,R12_WEU,2045,M1,0.014287739192062368,???,1.190644932671864,fueloil,0.012
+R12_WEU,2045,foil_i,NH3_Emission,R12_WEU,2045,M1,0.008827441530829198,???,1.190644932671864,fueloil,0.007413999999999999
+R12_WEU,2045,foil_i,NOx_Emission,R12_WEU,2045,M1,3.1633330262225376,???,1.190644932671864,fueloil,2.656823154761905
+R12_WEU,2045,foil_i,OCA_Emission,R12_WEU,2045,M1,0.0132318214032601,???,1.190644932671864,fueloil,0.011113154761904762
+R12_WEU,2045,foil_i,SO2_Emission,R12_WEU,2045,M1,0.3442092983699504,???,1.190644932671864,fueloil,0.2890948333333333
+R12_WEU,2045,foil_i,VOC_Emission,R12_WEU,2045,M1,1.6084036853295536,???,1.190644932671864,fueloil,1.350867619047619
+R12_WEU,2045,gas_i,BCA_Emission,R12_WEU,2045,M1,0.0001932828282828283,???,1.1237373737373737,gas,0.00017200000000000003
+R12_WEU,2045,gas_i,CH4_Emission,R12_WEU,2045,M1,0.1460858585858586,???,1.1237373737373737,gas,0.13
+R12_WEU,2045,gas_i,CO_Emission,R12_WEU,2045,M1,0.5897801010101011,???,1.1237373737373737,gas,0.5248380224719102
+R12_WEU,2045,gas_i,N2O_Emission,R12_WEU,2045,M1,0.013484848484848485,???,1.1237373737373737,gas,0.012
+R12_WEU,2045,gas_i,NH3_Emission,R12_WEU,2045,M1,0.006952929292929294,???,1.1237373737373737,gas,0.00618732584269663
+R12_WEU,2045,gas_i,NOx_Emission,R12_WEU,2045,M1,1.6292507575757575,???,1.1237373737373737,gas,1.4498501123595506
+R12_WEU,2045,gas_i,OCA_Emission,R12_WEU,2045,M1,0.0021631944444444446,???,1.1237373737373737,gas,0.0019250000000000003
+R12_WEU,2045,gas_i,SO2_Emission,R12_WEU,2045,M1,0.04087145202020202,???,1.1237373737373737,gas,0.036371
+R12_WEU,2045,gas_i,VOC_Emission,R12_WEU,2045,M1,0.06374512626262627,???,1.1237373737373737,gas,0.056726000000000006
+R12_WEU,2045,loil_i,BCA_Emission,R12_WEU,2045,M1,0.029641396172927003,???,1.190644932671864,lightoil,0.024895244047619048
+R12_WEU,2045,loil_i,CO_Emission,R12_WEU,2045,M1,4.246664989369242,???,1.190644932671864,lightoil,3.5666930357142856
+R12_WEU,2045,loil_i,NH3_Emission,R12_WEU,2045,M1,0.008827441530829198,???,1.190644932671864,lightoil,0.007413999999999999
+R12_WEU,2045,loil_i,NOx_Emission,R12_WEU,2045,M1,3.1633330262225376,???,1.190644932671864,lightoil,2.656823154761905
+R12_WEU,2045,loil_i,OCA_Emission,R12_WEU,2045,M1,0.0132318214032601,???,1.190644932671864,lightoil,0.011113154761904762
+R12_WEU,2045,loil_i,SO2_Emission,R12_WEU,2045,M1,0.3442092983699504,???,1.190644932671864,lightoil,0.2890948333333333
+R12_WEU,2045,loil_i,VOC_Emission,R12_WEU,2045,M1,1.6084036853295536,???,1.190644932671864,lightoil,1.350867619047619
+R12_WEU,2050,biomass_i,BCA_Emission,R12_WEU,2050,M1,0.016558666666666666,???,1.3333333333333333,biomass,0.012419
+R12_WEU,2050,biomass_i,CH4_Emission,R12_WEU,2050,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_WEU,2050,biomass_i,CO_Emission,R12_WEU,2050,M1,0.057131999999999995,???,1.3333333333333333,biomass,0.042849
+R12_WEU,2050,biomass_i,N2O_Emission,R12_WEU,2050,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_WEU,2050,biomass_i,NH3_Emission,R12_WEU,2050,M1,0.12432133333333334,???,1.3333333333333333,biomass,0.093241
+R12_WEU,2050,biomass_i,NOx_Emission,R12_WEU,2050,M1,3.6688533333333333,???,1.3333333333333333,biomass,2.75164
+R12_WEU,2050,biomass_i,OCA_Emission,R12_WEU,2050,M1,0.008998666666666665,???,1.3333333333333333,biomass,0.006748999999999999
+R12_WEU,2050,biomass_i,SO2_Emission,R12_WEU,2050,M1,1.3818133333333331,???,1.3333333333333333,biomass,1.03636
+R12_WEU,2050,biomass_i,VOC_Emission,R12_WEU,2050,M1,1.6415466666666667,???,1.3333333333333333,biomass,1.23116
+R12_WEU,2050,coal_i,BCA_Emission,R12_WEU,2050,M1,0.0015625,???,1.25,coal,0.00125
+R12_WEU,2050,coal_i,CH4_Emission,R12_WEU,2050,M1,0.3375,???,1.25,coal,0.27
+R12_WEU,2050,coal_i,CO_Emission,R12_WEU,2050,M1,1.526275,???,1.25,coal,1.22102
+R12_WEU,2050,coal_i,N2O_Emission,R12_WEU,2050,M1,0.04625,???,1.25,coal,0.037
+R12_WEU,2050,coal_i,NH3_Emission,R12_WEU,2050,M1,0.0018987499999999998,???,1.25,coal,0.001519
+R12_WEU,2050,coal_i,NOx_Emission,R12_WEU,2050,M1,2.9634125,???,1.25,coal,2.37073
+R12_WEU,2050,coal_i,OCA_Emission,R12_WEU,2050,M1,0.00115375,???,1.25,coal,0.000923
+R12_WEU,2050,coal_i,SO2_Emission,R12_WEU,2050,M1,5.3948,???,1.25,coal,4.31584
+R12_WEU,2050,coal_i,VOC_Emission,R12_WEU,2050,M1,0.35655625,???,1.25,coal,0.285245
+R12_WEU,2050,eth_i,BCA_Emission,R12_WEU,2050,M1,0.028814117647058823,???,1.1764705882352942,ethanol,0.024492
+R12_WEU,2050,eth_i,CO_Emission,R12_WEU,2050,M1,4.193305882352941,???,1.1764705882352942,ethanol,3.5643100000000003
+R12_WEU,2050,eth_i,NH3_Emission,R12_WEU,2050,M1,0.008722352941176471,???,1.1764705882352942,ethanol,0.0074140000000000005
+R12_WEU,2050,eth_i,NOx_Emission,R12_WEU,2050,M1,2.9448588235294118,???,1.1764705882352942,ethanol,2.50313
+R12_WEU,2050,eth_i,OCA_Emission,R12_WEU,2050,M1,0.012858823529411766,???,1.1764705882352942,ethanol,0.01093
+R12_WEU,2050,eth_i,VOC_Emission,R12_WEU,2050,M1,1.460494117647059,???,1.1764705882352942,ethanol,1.24142
+R12_WEU,2050,foil_i,BCA_Emission,R12_WEU,2050,M1,0.028814117647058823,???,1.1764705882352942,fueloil,0.024492
+R12_WEU,2050,foil_i,CH4_Emission,R12_WEU,2050,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_WEU,2050,foil_i,CO_Emission,R12_WEU,2050,M1,4.193305882352941,???,1.1764705882352942,fueloil,3.5643100000000003
+R12_WEU,2050,foil_i,N2O_Emission,R12_WEU,2050,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_WEU,2050,foil_i,NH3_Emission,R12_WEU,2050,M1,0.008722352941176471,???,1.1764705882352942,fueloil,0.0074140000000000005
+R12_WEU,2050,foil_i,NOx_Emission,R12_WEU,2050,M1,2.9448588235294118,???,1.1764705882352942,fueloil,2.50313
+R12_WEU,2050,foil_i,OCA_Emission,R12_WEU,2050,M1,0.012858823529411766,???,1.1764705882352942,fueloil,0.01093
+R12_WEU,2050,foil_i,SO2_Emission,R12_WEU,2050,M1,0.32002823529411767,???,1.1764705882352942,fueloil,0.272024
+R12_WEU,2050,foil_i,VOC_Emission,R12_WEU,2050,M1,1.460494117647059,???,1.1764705882352942,fueloil,1.24142
+R12_WEU,2050,gas_i,BCA_Emission,R12_WEU,2050,M1,0.00019111111111111114,???,1.1111111111111112,gas,0.000172
+R12_WEU,2050,gas_i,CH4_Emission,R12_WEU,2050,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_WEU,2050,gas_i,CO_Emission,R12_WEU,2050,M1,0.5793011111111112,???,1.1111111111111112,gas,0.521371
+R12_WEU,2050,gas_i,N2O_Emission,R12_WEU,2050,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_WEU,2050,gas_i,NH3_Emission,R12_WEU,2050,M1,0.006842222222222223,???,1.1111111111111112,gas,0.006158
+R12_WEU,2050,gas_i,NOx_Emission,R12_WEU,2050,M1,1.4999333333333333,???,1.1111111111111112,gas,1.34994
+R12_WEU,2050,gas_i,OCA_Emission,R12_WEU,2050,M1,0.002138888888888889,???,1.1111111111111112,gas,0.001925
+R12_WEU,2050,gas_i,SO2_Emission,R12_WEU,2050,M1,0.040412222222222224,???,1.1111111111111112,gas,0.036371
+R12_WEU,2050,gas_i,VOC_Emission,R12_WEU,2050,M1,0.06302888888888888,???,1.1111111111111112,gas,0.05672599999999999
+R12_WEU,2050,loil_i,BCA_Emission,R12_WEU,2050,M1,0.028814117647058823,???,1.1764705882352942,lightoil,0.024492
+R12_WEU,2050,loil_i,CO_Emission,R12_WEU,2050,M1,4.193305882352941,???,1.1764705882352942,lightoil,3.5643100000000003
+R12_WEU,2050,loil_i,NH3_Emission,R12_WEU,2050,M1,0.008722352941176471,???,1.1764705882352942,lightoil,0.0074140000000000005
+R12_WEU,2050,loil_i,NOx_Emission,R12_WEU,2050,M1,2.9448588235294118,???,1.1764705882352942,lightoil,2.50313
+R12_WEU,2050,loil_i,OCA_Emission,R12_WEU,2050,M1,0.012858823529411766,???,1.1764705882352942,lightoil,0.01093
+R12_WEU,2050,loil_i,SO2_Emission,R12_WEU,2050,M1,0.32002823529411767,???,1.1764705882352942,lightoil,0.272024
+R12_WEU,2050,loil_i,VOC_Emission,R12_WEU,2050,M1,1.460494117647059,???,1.1764705882352942,lightoil,1.24142
+R12_WEU,2055,biomass_i,BCA_Emission,R12_WEU,2055,M1,0.015292,???,1.3333333333333333,biomass,0.011469
+R12_WEU,2055,biomass_i,CH4_Emission,R12_WEU,2055,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_WEU,2055,biomass_i,CO_Emission,R12_WEU,2055,M1,0.057131999999999995,???,1.3333333333333333,biomass,0.042849
+R12_WEU,2055,biomass_i,N2O_Emission,R12_WEU,2055,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_WEU,2055,biomass_i,NH3_Emission,R12_WEU,2055,M1,0.123224,???,1.3333333333333333,biomass,0.092418
+R12_WEU,2055,biomass_i,NOx_Emission,R12_WEU,2055,M1,3.61118,???,1.3333333333333333,biomass,2.7083850000000003
+R12_WEU,2055,biomass_i,OCA_Emission,R12_WEU,2055,M1,0.008315999999999999,???,1.3333333333333333,biomass,0.0062369999999999995
+R12_WEU,2055,biomass_i,SO2_Emission,R12_WEU,2055,M1,1.3698266666666665,???,1.3333333333333333,biomass,1.02737
+R12_WEU,2055,biomass_i,VOC_Emission,R12_WEU,2055,M1,1.6415466666666667,???,1.3333333333333333,biomass,1.23116
+R12_WEU,2055,coal_i,BCA_Emission,R12_WEU,2055,M1,0.0014443750000000001,???,1.25,coal,0.0011555
+R12_WEU,2055,coal_i,CH4_Emission,R12_WEU,2055,M1,0.3375,???,1.25,coal,0.27
+R12_WEU,2055,coal_i,CO_Emission,R12_WEU,2055,M1,1.5254875,???,1.25,coal,1.22039
+R12_WEU,2055,coal_i,N2O_Emission,R12_WEU,2055,M1,0.04625,???,1.25,coal,0.037
+R12_WEU,2055,coal_i,NH3_Emission,R12_WEU,2055,M1,0.0017968749999999999,???,1.25,coal,0.0014375
+R12_WEU,2055,coal_i,NOx_Emission,R12_WEU,2055,M1,2.84463125,???,1.25,coal,2.275705
+R12_WEU,2055,coal_i,OCA_Emission,R12_WEU,2055,M1,0.00107,???,1.25,coal,0.000856
+R12_WEU,2055,coal_i,SO2_Emission,R12_WEU,2055,M1,5.131293749999999,???,1.25,coal,4.105034999999999
+R12_WEU,2055,coal_i,VOC_Emission,R12_WEU,2055,M1,0.35655625,???,1.25,coal,0.285245
+R12_WEU,2055,eth_i,BCA_Emission,R12_WEU,2055,M1,0.028511764705882355,???,1.1764705882352942,ethanol,0.024235
+R12_WEU,2055,eth_i,CO_Emission,R12_WEU,2055,M1,4.18674705882353,???,1.1764705882352942,ethanol,3.558735
+R12_WEU,2055,eth_i,NH3_Emission,R12_WEU,2055,M1,0.008722352941176471,???,1.1764705882352942,ethanol,0.0074140000000000005
+R12_WEU,2055,eth_i,NOx_Emission,R12_WEU,2055,M1,2.842311764705882,???,1.1764705882352942,ethanol,2.415965
+R12_WEU,2055,eth_i,OCA_Emission,R12_WEU,2055,M1,0.012719411764705882,???,1.1764705882352942,ethanol,0.0108115
+R12_WEU,2055,eth_i,VOC_Emission,R12_WEU,2055,M1,1.3871352941176474,???,1.1764705882352942,ethanol,1.1790650000000003
+R12_WEU,2055,foil_i,BCA_Emission,R12_WEU,2055,M1,0.028511764705882355,???,1.1764705882352942,fueloil,0.024235
+R12_WEU,2055,foil_i,CH4_Emission,R12_WEU,2055,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_WEU,2055,foil_i,CO_Emission,R12_WEU,2055,M1,4.18674705882353,???,1.1764705882352942,fueloil,3.558735
+R12_WEU,2055,foil_i,N2O_Emission,R12_WEU,2055,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_WEU,2055,foil_i,NH3_Emission,R12_WEU,2055,M1,0.008722352941176471,???,1.1764705882352942,fueloil,0.0074140000000000005
+R12_WEU,2055,foil_i,NOx_Emission,R12_WEU,2055,M1,2.842311764705882,???,1.1764705882352942,fueloil,2.415965
+R12_WEU,2055,foil_i,OCA_Emission,R12_WEU,2055,M1,0.012719411764705882,???,1.1764705882352942,fueloil,0.0108115
+R12_WEU,2055,foil_i,SO2_Emission,R12_WEU,2055,M1,0.3086864705882353,???,1.1764705882352942,fueloil,0.2623835
+R12_WEU,2055,foil_i,VOC_Emission,R12_WEU,2055,M1,1.3871352941176474,???,1.1764705882352942,fueloil,1.1790650000000003
+R12_WEU,2055,gas_i,BCA_Emission,R12_WEU,2055,M1,0.00019111111111111114,???,1.1111111111111112,gas,0.000172
+R12_WEU,2055,gas_i,CH4_Emission,R12_WEU,2055,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_WEU,2055,gas_i,CO_Emission,R12_WEU,2055,M1,0.5771244444444446,???,1.1111111111111112,gas,0.5194120000000001
+R12_WEU,2055,gas_i,N2O_Emission,R12_WEU,2055,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_WEU,2055,gas_i,NH3_Emission,R12_WEU,2055,M1,0.006637777777777778,???,1.1111111111111112,gas,0.005974
+R12_WEU,2055,gas_i,NOx_Emission,R12_WEU,2055,M1,1.4372,???,1.1111111111111112,gas,1.29348
+R12_WEU,2055,gas_i,OCA_Emission,R12_WEU,2055,M1,0.002138888888888889,???,1.1111111111111112,gas,0.001925
+R12_WEU,2055,gas_i,SO2_Emission,R12_WEU,2055,M1,0.040412222222222224,???,1.1111111111111112,gas,0.036371
+R12_WEU,2055,gas_i,VOC_Emission,R12_WEU,2055,M1,0.06302888888888888,???,1.1111111111111112,gas,0.05672599999999999
+R12_WEU,2055,loil_i,BCA_Emission,R12_WEU,2055,M1,0.028511764705882355,???,1.1764705882352942,lightoil,0.024235
+R12_WEU,2055,loil_i,CO_Emission,R12_WEU,2055,M1,4.18674705882353,???,1.1764705882352942,lightoil,3.558735
+R12_WEU,2055,loil_i,NH3_Emission,R12_WEU,2055,M1,0.008722352941176471,???,1.1764705882352942,lightoil,0.0074140000000000005
+R12_WEU,2055,loil_i,NOx_Emission,R12_WEU,2055,M1,2.842311764705882,???,1.1764705882352942,lightoil,2.415965
+R12_WEU,2055,loil_i,OCA_Emission,R12_WEU,2055,M1,0.012719411764705882,???,1.1764705882352942,lightoil,0.0108115
+R12_WEU,2055,loil_i,SO2_Emission,R12_WEU,2055,M1,0.3086864705882353,???,1.1764705882352942,lightoil,0.2623835
+R12_WEU,2055,loil_i,VOC_Emission,R12_WEU,2055,M1,1.3871352941176474,???,1.1764705882352942,lightoil,1.1790650000000003
+R12_WEU,2060,biomass_i,BCA_Emission,R12_WEU,2060,M1,0.014025333333333334,???,1.3333333333333333,biomass,0.010519
+R12_WEU,2060,biomass_i,CH4_Emission,R12_WEU,2060,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_WEU,2060,biomass_i,CO_Emission,R12_WEU,2060,M1,0.057131999999999995,???,1.3333333333333333,biomass,0.042849
+R12_WEU,2060,biomass_i,N2O_Emission,R12_WEU,2060,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_WEU,2060,biomass_i,NH3_Emission,R12_WEU,2060,M1,0.12212666666666666,???,1.3333333333333333,biomass,0.091595
+R12_WEU,2060,biomass_i,NOx_Emission,R12_WEU,2060,M1,3.5535066666666664,???,1.3333333333333333,biomass,2.66513
+R12_WEU,2060,biomass_i,OCA_Emission,R12_WEU,2060,M1,0.007633333333333333,???,1.3333333333333333,biomass,0.005725
+R12_WEU,2060,biomass_i,SO2_Emission,R12_WEU,2060,M1,1.35784,???,1.3333333333333333,biomass,1.01838
+R12_WEU,2060,biomass_i,VOC_Emission,R12_WEU,2060,M1,1.6415466666666667,???,1.3333333333333333,biomass,1.23116
+R12_WEU,2060,coal_i,BCA_Emission,R12_WEU,2060,M1,0.0013262500000000002,???,1.25,coal,0.001061
+R12_WEU,2060,coal_i,CH4_Emission,R12_WEU,2060,M1,0.3375,???,1.25,coal,0.27
+R12_WEU,2060,coal_i,CO_Emission,R12_WEU,2060,M1,1.5247,???,1.25,coal,1.21976
+R12_WEU,2060,coal_i,N2O_Emission,R12_WEU,2060,M1,0.04625,???,1.25,coal,0.037
+R12_WEU,2060,coal_i,NH3_Emission,R12_WEU,2060,M1,0.001695,???,1.25,coal,0.001356
+R12_WEU,2060,coal_i,NOx_Emission,R12_WEU,2060,M1,2.7258500000000003,???,1.25,coal,2.18068
+R12_WEU,2060,coal_i,OCA_Emission,R12_WEU,2060,M1,0.00098625,???,1.25,coal,0.000789
+R12_WEU,2060,coal_i,SO2_Emission,R12_WEU,2060,M1,4.8677874999999995,???,1.25,coal,3.8942299999999994
+R12_WEU,2060,coal_i,VOC_Emission,R12_WEU,2060,M1,0.35655625,???,1.25,coal,0.285245
+R12_WEU,2060,eth_i,BCA_Emission,R12_WEU,2060,M1,0.028209411764705882,???,1.1764705882352942,ethanol,0.023978
+R12_WEU,2060,eth_i,CO_Emission,R12_WEU,2060,M1,4.180188235294118,???,1.1764705882352942,ethanol,3.55316
+R12_WEU,2060,eth_i,NH3_Emission,R12_WEU,2060,M1,0.008722352941176471,???,1.1764705882352942,ethanol,0.0074140000000000005
+R12_WEU,2060,eth_i,NOx_Emission,R12_WEU,2060,M1,2.739764705882353,???,1.1764705882352942,ethanol,2.3288
+R12_WEU,2060,eth_i,OCA_Emission,R12_WEU,2060,M1,0.01258,???,1.1764705882352942,ethanol,0.010693
+R12_WEU,2060,eth_i,VOC_Emission,R12_WEU,2060,M1,1.3137764705882355,???,1.1764705882352942,ethanol,1.11671
+R12_WEU,2060,foil_i,BCA_Emission,R12_WEU,2060,M1,0.028209411764705882,???,1.1764705882352942,fueloil,0.023978
+R12_WEU,2060,foil_i,CH4_Emission,R12_WEU,2060,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_WEU,2060,foil_i,CO_Emission,R12_WEU,2060,M1,4.180188235294118,???,1.1764705882352942,fueloil,3.55316
+R12_WEU,2060,foil_i,N2O_Emission,R12_WEU,2060,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_WEU,2060,foil_i,NH3_Emission,R12_WEU,2060,M1,0.008722352941176471,???,1.1764705882352942,fueloil,0.0074140000000000005
+R12_WEU,2060,foil_i,NOx_Emission,R12_WEU,2060,M1,2.739764705882353,???,1.1764705882352942,fueloil,2.3288
+R12_WEU,2060,foil_i,OCA_Emission,R12_WEU,2060,M1,0.01258,???,1.1764705882352942,fueloil,0.010693
+R12_WEU,2060,foil_i,SO2_Emission,R12_WEU,2060,M1,0.29734470588235296,???,1.1764705882352942,fueloil,0.252743
+R12_WEU,2060,foil_i,VOC_Emission,R12_WEU,2060,M1,1.3137764705882355,???,1.1764705882352942,fueloil,1.11671
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+R12_WEU,2060,gas_i,NOx_Emission,R12_WEU,2060,M1,1.3744666666666667,???,1.1111111111111112,gas,1.23702
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+R12_WEU,2060,loil_i,NH3_Emission,R12_WEU,2060,M1,0.008722352941176471,???,1.1764705882352942,lightoil,0.0074140000000000005
+R12_WEU,2060,loil_i,NOx_Emission,R12_WEU,2060,M1,2.739764705882353,???,1.1764705882352942,lightoil,2.3288
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+R12_WEU,2060,loil_i,SO2_Emission,R12_WEU,2060,M1,0.29734470588235296,???,1.1764705882352942,lightoil,0.252743
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+R12_WEU,2070,biomass_i,BCA_Emission,R12_WEU,2070,M1,0.011490666666666666,???,1.3333333333333333,biomass,0.008618
+R12_WEU,2070,biomass_i,CH4_Emission,R12_WEU,2070,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
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+R12_WEU,2070,foil_i,BCA_Emission,R12_WEU,2070,M1,0.027603529411764707,???,1.1764705882352942,fueloil,0.023463
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+R12_WEU,2070,foil_i,SO2_Emission,R12_WEU,2070,M1,0.27466235294117647,???,1.1764705882352942,fueloil,0.233463
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+R12_WEU,2090,eth_i,OCA_Emission,R12_WEU,2090,M1,0.011745882352941177,???,1.1764705882352942,ethanol,0.009984
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+R12_WEU,2090,foil_i,CO_Emission,R12_WEU,2090,M1,4.140858823529412,???,1.1764705882352942,fueloil,3.5197300000000005
+R12_WEU,2090,foil_i,N2O_Emission,R12_WEU,2090,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
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+R12_WEU,2090,foil_i,NOx_Emission,R12_WEU,2090,M1,2.124494117647059,???,1.1764705882352942,fueloil,1.8058200000000002
+R12_WEU,2090,foil_i,OCA_Emission,R12_WEU,2090,M1,0.011745882352941177,???,1.1764705882352942,fueloil,0.009984
+R12_WEU,2090,foil_i,SO2_Emission,R12_WEU,2090,M1,0.22929764705882352,???,1.1764705882352942,fueloil,0.194903
+R12_WEU,2090,foil_i,VOC_Emission,R12_WEU,2090,M1,0.87364,???,1.1764705882352942,fueloil,0.742594
+R12_WEU,2090,gas_i,BCA_Emission,R12_WEU,2090,M1,0.00019111111111111114,???,1.1111111111111112,gas,0.000172
+R12_WEU,2090,gas_i,CH4_Emission,R12_WEU,2090,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_WEU,2090,gas_i,CO_Emission,R12_WEU,2090,M1,0.5618866666666666,???,1.1111111111111112,gas,0.505698
+R12_WEU,2090,gas_i,N2O_Emission,R12_WEU,2090,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_WEU,2090,gas_i,NH3_Emission,R12_WEU,2090,M1,0.005206666666666667,???,1.1111111111111112,gas,0.004686
+R12_WEU,2090,gas_i,NOx_Emission,R12_WEU,2090,M1,0.9980844444444444,???,1.1111111111111112,gas,0.898276
+R12_WEU,2090,gas_i,OCA_Emission,R12_WEU,2090,M1,0.002138888888888889,???,1.1111111111111112,gas,0.001925
+R12_WEU,2090,gas_i,SO2_Emission,R12_WEU,2090,M1,0.040412222222222224,???,1.1111111111111112,gas,0.036371
+R12_WEU,2090,gas_i,VOC_Emission,R12_WEU,2090,M1,0.06302888888888888,???,1.1111111111111112,gas,0.05672599999999999
+R12_WEU,2090,loil_i,BCA_Emission,R12_WEU,2090,M1,0.026391764705882354,???,1.1764705882352942,lightoil,0.022433
+R12_WEU,2090,loil_i,CO_Emission,R12_WEU,2090,M1,4.140858823529412,???,1.1764705882352942,lightoil,3.5197300000000005
+R12_WEU,2090,loil_i,NH3_Emission,R12_WEU,2090,M1,0.008722352941176471,???,1.1764705882352942,lightoil,0.0074140000000000005
+R12_WEU,2090,loil_i,NOx_Emission,R12_WEU,2090,M1,2.124494117647059,???,1.1764705882352942,lightoil,1.8058200000000002
+R12_WEU,2090,loil_i,OCA_Emission,R12_WEU,2090,M1,0.011745882352941177,???,1.1764705882352942,lightoil,0.009984
+R12_WEU,2090,loil_i,SO2_Emission,R12_WEU,2090,M1,0.22929764705882352,???,1.1764705882352942,lightoil,0.194903
+R12_WEU,2090,loil_i,VOC_Emission,R12_WEU,2090,M1,0.87364,???,1.1764705882352942,lightoil,0.742594
+R12_WEU,2100,biomass_i,BCA_Emission,R12_WEU,2100,M1,0.003889333333333333,???,1.3333333333333333,biomass,0.002917
+R12_WEU,2100,biomass_i,CH4_Emission,R12_WEU,2100,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_WEU,2100,biomass_i,CO_Emission,R12_WEU,2100,M1,0.057131999999999995,???,1.3333333333333333,biomass,0.042849
+R12_WEU,2100,biomass_i,N2O_Emission,R12_WEU,2100,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_WEU,2100,biomass_i,NH3_Emission,R12_WEU,2100,M1,0.11334666666666667,???,1.3333333333333333,biomass,0.08501
+R12_WEU,2100,biomass_i,NOx_Emission,R12_WEU,2100,M1,3.09216,???,1.3333333333333333,biomass,2.31912
+R12_WEU,2100,biomass_i,OCA_Emission,R12_WEU,2100,M1,0.0021706666666666667,???,1.3333333333333333,biomass,0.001628
+R12_WEU,2100,biomass_i,SO2_Emission,R12_WEU,2100,M1,1.2619373333333332,???,1.3333333333333333,biomass,0.946453
+R12_WEU,2100,biomass_i,VOC_Emission,R12_WEU,2100,M1,1.6415466666666667,???,1.3333333333333333,biomass,1.23116
+R12_WEU,2100,coal_i,BCA_Emission,R12_WEU,2100,M1,0.00038500000000000003,???,1.25,coal,0.000308
+R12_WEU,2100,coal_i,CH4_Emission,R12_WEU,2100,M1,0.3375,???,1.25,coal,0.27
+R12_WEU,2100,coal_i,CO_Emission,R12_WEU,2100,M1,1.5183749999999998,???,1.25,coal,1.2147
+R12_WEU,2100,coal_i,N2O_Emission,R12_WEU,2100,M1,0.04625,???,1.25,coal,0.037
+R12_WEU,2100,coal_i,NH3_Emission,R12_WEU,2100,M1,0.00088375,???,1.25,coal,0.000707
+R12_WEU,2100,coal_i,NOx_Emission,R12_WEU,2100,M1,1.7756125,???,1.25,coal,1.42049
+R12_WEU,2100,coal_i,OCA_Emission,R12_WEU,2100,M1,0.00031625,???,1.25,coal,0.000253
+R12_WEU,2100,coal_i,SO2_Emission,R12_WEU,2100,M1,2.7597500000000004,???,1.25,coal,2.2078
+R12_WEU,2100,coal_i,VOC_Emission,R12_WEU,2100,M1,0.35655625,???,1.25,coal,0.285245
+R12_WEU,2100,eth_i,BCA_Emission,R12_WEU,2100,M1,0.025785882352941176,???,1.1764705882352942,ethanol,0.021918
+R12_WEU,2100,eth_i,CO_Emission,R12_WEU,2100,M1,4.12775294117647,???,1.1764705882352942,ethanol,3.5085899999999994
+R12_WEU,2100,eth_i,NH3_Emission,R12_WEU,2100,M1,0.008722352941176471,???,1.1764705882352942,ethanol,0.0074140000000000005
+R12_WEU,2100,eth_i,NOx_Emission,R12_WEU,2100,M1,1.9194000000000002,???,1.1764705882352942,ethanol,1.63149
+R12_WEU,2100,eth_i,OCA_Emission,R12_WEU,2100,M1,0.011467058823529414,???,1.1764705882352942,ethanol,0.009747
+R12_WEU,2100,eth_i,VOC_Emission,R12_WEU,2100,M1,0.7269270588235295,???,1.1764705882352942,ethanol,0.617888
+R12_WEU,2100,foil_i,BCA_Emission,R12_WEU,2100,M1,0.025785882352941176,???,1.1764705882352942,fueloil,0.021918
+R12_WEU,2100,foil_i,CH4_Emission,R12_WEU,2100,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_WEU,2100,foil_i,CO_Emission,R12_WEU,2100,M1,4.12775294117647,???,1.1764705882352942,fueloil,3.5085899999999994
+R12_WEU,2100,foil_i,N2O_Emission,R12_WEU,2100,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_WEU,2100,foil_i,NH3_Emission,R12_WEU,2100,M1,0.008722352941176471,???,1.1764705882352942,fueloil,0.0074140000000000005
+R12_WEU,2100,foil_i,NOx_Emission,R12_WEU,2100,M1,1.9194000000000002,???,1.1764705882352942,fueloil,1.63149
+R12_WEU,2100,foil_i,OCA_Emission,R12_WEU,2100,M1,0.011467058823529414,???,1.1764705882352942,fueloil,0.009747
+R12_WEU,2100,foil_i,SO2_Emission,R12_WEU,2100,M1,0.20661411764705884,???,1.1764705882352942,fueloil,0.175622
+R12_WEU,2100,foil_i,VOC_Emission,R12_WEU,2100,M1,0.7269270588235295,???,1.1764705882352942,fueloil,0.617888
+R12_WEU,2100,gas_i,BCA_Emission,R12_WEU,2100,M1,0.00019111111111111114,???,1.1111111111111112,gas,0.000172
+R12_WEU,2100,gas_i,CH4_Emission,R12_WEU,2100,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_WEU,2100,gas_i,CO_Emission,R12_WEU,2100,M1,0.5575333333333333,???,1.1111111111111112,gas,0.50178
+R12_WEU,2100,gas_i,N2O_Emission,R12_WEU,2100,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_WEU,2100,gas_i,NH3_Emission,R12_WEU,2100,M1,0.0047977777777777775,???,1.1111111111111112,gas,0.004318
+R12_WEU,2100,gas_i,NOx_Emission,R12_WEU,2100,M1,0.8726233333333333,???,1.1111111111111112,gas,0.785361
+R12_WEU,2100,gas_i,OCA_Emission,R12_WEU,2100,M1,0.002138888888888889,???,1.1111111111111112,gas,0.001925
+R12_WEU,2100,gas_i,SO2_Emission,R12_WEU,2100,M1,0.040412222222222224,???,1.1111111111111112,gas,0.036371
+R12_WEU,2100,gas_i,VOC_Emission,R12_WEU,2100,M1,0.06302888888888888,???,1.1111111111111112,gas,0.05672599999999999
+R12_WEU,2100,loil_i,BCA_Emission,R12_WEU,2100,M1,0.025785882352941176,???,1.1764705882352942,lightoil,0.021918
+R12_WEU,2100,loil_i,CO_Emission,R12_WEU,2100,M1,4.12775294117647,???,1.1764705882352942,lightoil,3.5085899999999994
+R12_WEU,2100,loil_i,NH3_Emission,R12_WEU,2100,M1,0.008722352941176471,???,1.1764705882352942,lightoil,0.0074140000000000005
+R12_WEU,2100,loil_i,NOx_Emission,R12_WEU,2100,M1,1.9194000000000002,???,1.1764705882352942,lightoil,1.63149
+R12_WEU,2100,loil_i,OCA_Emission,R12_WEU,2100,M1,0.011467058823529414,???,1.1764705882352942,lightoil,0.009747
+R12_WEU,2100,loil_i,SO2_Emission,R12_WEU,2100,M1,0.20661411764705884,???,1.1764705882352942,lightoil,0.175622
+R12_WEU,2100,loil_i,VOC_Emission,R12_WEU,2100,M1,0.7269270588235295,???,1.1764705882352942,lightoil,0.617888
+R12_WEU,2110,biomass_i,BCA_Emission,R12_WEU,2110,M1,0.003889333333333333,???,1.3333333333333333,biomass,0.002917
+R12_WEU,2110,biomass_i,CH4_Emission,R12_WEU,2110,M1,1.0666666666666667,???,1.3333333333333333,biomass,0.8
+R12_WEU,2110,biomass_i,CO_Emission,R12_WEU,2110,M1,0.057131999999999995,???,1.3333333333333333,biomass,0.042849
+R12_WEU,2110,biomass_i,N2O_Emission,R12_WEU,2110,M1,0.13333333333333333,???,1.3333333333333333,biomass,0.1
+R12_WEU,2110,biomass_i,NH3_Emission,R12_WEU,2110,M1,0.11334666666666667,???,1.3333333333333333,biomass,0.08501
+R12_WEU,2110,biomass_i,NOx_Emission,R12_WEU,2110,M1,3.09216,???,1.3333333333333333,biomass,2.31912
+R12_WEU,2110,biomass_i,OCA_Emission,R12_WEU,2110,M1,0.0021706666666666667,???,1.3333333333333333,biomass,0.001628
+R12_WEU,2110,biomass_i,SO2_Emission,R12_WEU,2110,M1,1.2619373333333332,???,1.3333333333333333,biomass,0.946453
+R12_WEU,2110,biomass_i,VOC_Emission,R12_WEU,2110,M1,1.6415466666666667,???,1.3333333333333333,biomass,1.23116
+R12_WEU,2110,coal_i,BCA_Emission,R12_WEU,2110,M1,0.00038500000000000003,???,1.25,coal,0.000308
+R12_WEU,2110,coal_i,CH4_Emission,R12_WEU,2110,M1,0.3375,???,1.25,coal,0.27
+R12_WEU,2110,coal_i,CO_Emission,R12_WEU,2110,M1,1.5183749999999998,???,1.25,coal,1.2147
+R12_WEU,2110,coal_i,N2O_Emission,R12_WEU,2110,M1,0.04625,???,1.25,coal,0.037
+R12_WEU,2110,coal_i,NH3_Emission,R12_WEU,2110,M1,0.00088375,???,1.25,coal,0.000707
+R12_WEU,2110,coal_i,NOx_Emission,R12_WEU,2110,M1,1.7756125,???,1.25,coal,1.42049
+R12_WEU,2110,coal_i,OCA_Emission,R12_WEU,2110,M1,0.00031625,???,1.25,coal,0.000253
+R12_WEU,2110,coal_i,SO2_Emission,R12_WEU,2110,M1,2.7597500000000004,???,1.25,coal,2.2078
+R12_WEU,2110,coal_i,VOC_Emission,R12_WEU,2110,M1,0.35655625,???,1.25,coal,0.285245
+R12_WEU,2110,eth_i,BCA_Emission,R12_WEU,2110,M1,0.025785882352941176,???,1.1764705882352942,ethanol,0.021918
+R12_WEU,2110,eth_i,CO_Emission,R12_WEU,2110,M1,4.12775294117647,???,1.1764705882352942,ethanol,3.5085899999999994
+R12_WEU,2110,eth_i,NH3_Emission,R12_WEU,2110,M1,0.008722352941176471,???,1.1764705882352942,ethanol,0.0074140000000000005
+R12_WEU,2110,eth_i,NOx_Emission,R12_WEU,2110,M1,1.9194000000000002,???,1.1764705882352942,ethanol,1.63149
+R12_WEU,2110,eth_i,OCA_Emission,R12_WEU,2110,M1,0.011467058823529414,???,1.1764705882352942,ethanol,0.009747
+R12_WEU,2110,eth_i,VOC_Emission,R12_WEU,2110,M1,0.7269270588235295,???,1.1764705882352942,ethanol,0.617888
+R12_WEU,2110,foil_i,BCA_Emission,R12_WEU,2110,M1,0.025785882352941176,???,1.1764705882352942,fueloil,0.021918
+R12_WEU,2110,foil_i,CH4_Emission,R12_WEU,2110,M1,0.6352941176470589,???,1.1764705882352942,fueloil,0.54
+R12_WEU,2110,foil_i,CO_Emission,R12_WEU,2110,M1,4.12775294117647,???,1.1764705882352942,fueloil,3.5085899999999994
+R12_WEU,2110,foil_i,N2O_Emission,R12_WEU,2110,M1,0.01411764705882353,???,1.1764705882352942,fueloil,0.012
+R12_WEU,2110,foil_i,NH3_Emission,R12_WEU,2110,M1,0.008722352941176471,???,1.1764705882352942,fueloil,0.0074140000000000005
+R12_WEU,2110,foil_i,NOx_Emission,R12_WEU,2110,M1,1.9194000000000002,???,1.1764705882352942,fueloil,1.63149
+R12_WEU,2110,foil_i,OCA_Emission,R12_WEU,2110,M1,0.011467058823529414,???,1.1764705882352942,fueloil,0.009747
+R12_WEU,2110,foil_i,SO2_Emission,R12_WEU,2110,M1,0.20661411764705884,???,1.1764705882352942,fueloil,0.175622
+R12_WEU,2110,foil_i,VOC_Emission,R12_WEU,2110,M1,0.7269270588235295,???,1.1764705882352942,fueloil,0.617888
+R12_WEU,2110,gas_i,BCA_Emission,R12_WEU,2110,M1,0.00019111111111111114,???,1.1111111111111112,gas,0.000172
+R12_WEU,2110,gas_i,CH4_Emission,R12_WEU,2110,M1,0.14444444444444446,???,1.1111111111111112,gas,0.13
+R12_WEU,2110,gas_i,CO_Emission,R12_WEU,2110,M1,0.5575333333333333,???,1.1111111111111112,gas,0.50178
+R12_WEU,2110,gas_i,N2O_Emission,R12_WEU,2110,M1,0.013333333333333334,???,1.1111111111111112,gas,0.012
+R12_WEU,2110,gas_i,NH3_Emission,R12_WEU,2110,M1,0.0047977777777777775,???,1.1111111111111112,gas,0.004318
+R12_WEU,2110,gas_i,NOx_Emission,R12_WEU,2110,M1,0.8726233333333333,???,1.1111111111111112,gas,0.785361
+R12_WEU,2110,gas_i,OCA_Emission,R12_WEU,2110,M1,0.002138888888888889,???,1.1111111111111112,gas,0.001925
+R12_WEU,2110,gas_i,SO2_Emission,R12_WEU,2110,M1,0.040412222222222224,???,1.1111111111111112,gas,0.036371
+R12_WEU,2110,gas_i,VOC_Emission,R12_WEU,2110,M1,0.06302888888888888,???,1.1111111111111112,gas,0.05672599999999999
+R12_WEU,2110,loil_i,BCA_Emission,R12_WEU,2110,M1,0.025785882352941176,???,1.1764705882352942,lightoil,0.021918
+R12_WEU,2110,loil_i,CO_Emission,R12_WEU,2110,M1,4.12775294117647,???,1.1764705882352942,lightoil,3.5085899999999994
+R12_WEU,2110,loil_i,NH3_Emission,R12_WEU,2110,M1,0.008722352941176471,???,1.1764705882352942,lightoil,0.0074140000000000005
+R12_WEU,2110,loil_i,NOx_Emission,R12_WEU,2110,M1,1.9194000000000002,???,1.1764705882352942,lightoil,1.63149
+R12_WEU,2110,loil_i,OCA_Emission,R12_WEU,2110,M1,0.011467058823529414,???,1.1764705882352942,lightoil,0.009747
+R12_WEU,2110,loil_i,SO2_Emission,R12_WEU,2110,M1,0.20661411764705884,???,1.1764705882352942,lightoil,0.175622
+R12_WEU,2110,loil_i,VOC_Emission,R12_WEU,2110,M1,0.7269270588235295,???,1.1764705882352942,lightoil,0.617888
diff --git a/message_ix_models/data/material/other/residual_industry_2019.csv b/message_ix_models/data/material/other/residual_industry_2019.csv
index 5cd1704da7..a2050aaff5 100644
--- a/message_ix_models/data/material/other/residual_industry_2019.csv
+++ b/message_ix_models/data/material/other/residual_industry_2019.csv
@@ -6,11 +6,11 @@
 "R12_AFR","cement","dheat",0,"GWa"
 "R12_AFR","cement","electr",0.398889029,"GWa"
 "R12_AFR","cement","ethanol",0,"GWa"
-"R12_AFR","cement","foil",0.317658407,"GWa"
-"R12_AFR","cement","gas",0.480723998,"GWa"
+"R12_AFR","cement","foil",3,"GWa"
+"R12_AFR","cement","gas",3,"GWa"
 "R12_AFR","cement","geothermal",0,"GWa"
 "R12_AFR","cement","hydro",0,"GWa"
-"R12_AFR","cement","loil",0.022006259,"GWa"
+"R12_AFR","cement","loil",3,"GWa"
 "R12_AFR","cement","nuclear",0,"GWa"
 "R12_AFR","cement","other",0,"GWa"
 "R12_AFR","cement","solar_pv",0,"GWa"
@@ -39,22 +39,22 @@
 "R12_AFR","industry_residual","wind",0,"GWa"
 "R12_CHN","cement","biogas",0,"GWa"
 "R12_CHN","cement","biomass",0,"GWa"
-"R12_CHN","cement","coal",146.0009929,"GWa"
+"R12_CHN","cement","coal",165,"GWa"
 "R12_CHN","cement","crude",0,"GWa"
 "R12_CHN","cement","dheat",0.702811319,"GWa"
 "R12_CHN","cement","electr",37.77811875,"GWa"
 "R12_CHN","cement","ethanol",0,"GWa"
 "R12_CHN","cement","foil",1.263300455,"GWa"
-"R12_CHN","cement","gas",15.909236,"GWa"
+"R12_CHN","cement","gas",19,"GWa"
 "R12_CHN","cement","geothermal",0,"GWa"
 "R12_CHN","cement","hydro",0,"GWa"
-"R12_CHN","cement","loil",4.61361366,"GWa"
+"R12_CHN","cement","loil",5.5,"GWa"
 "R12_CHN","cement","nuclear",0,"GWa"
 "R12_CHN","cement","other",0,"GWa"
 "R12_CHN","cement","solar_pv",0,"GWa"
 "R12_CHN","cement","solar_thermal",0,"GWa"
 "R12_CHN","cement","tidal",0,"GWa"
-"R12_CHN","cement","total",206.2680731,"GWa"
+"R12_CHN","cement","total",229.2442305,"GWa"
 "R12_CHN","cement","wind",0,"GWa"
 "R12_CHN","industry_residual","biogas",0,"GWa"
 "R12_CHN","industry_residual","biomass",0,"GWa"
@@ -196,8 +196,8 @@
 "R12_MEA","cement","dheat",0,"GWa"
 "R12_MEA","cement","electr",0.954649594,"GWa"
 "R12_MEA","cement","ethanol",0,"GWa"
-"R12_MEA","cement","foil",1.975315457,"GWa"
-"R12_MEA","cement","gas",6.483882892,"GWa"
+"R12_MEA","cement","foil",12.975315457,"GWa"
+"R12_MEA","cement","gas",8.483882892,"GWa"
 "R12_MEA","cement","geothermal",0,"GWa"
 "R12_MEA","cement","hydro",0,"GWa"
 "R12_MEA","cement","loil",0.123194101,"GWa"
diff --git a/message_ix_models/data/material/petrochemicals/chemicals_carbon_parameters.yaml b/message_ix_models/data/material/petrochemicals/chemicals_carbon_parameters.yaml
new file mode 100644
index 0000000000..d4b103b184
--- /dev/null
+++ b/message_ix_models/data/material/petrochemicals/chemicals_carbon_parameters.yaml
@@ -0,0 +1,33 @@
+# this file provides data about the primary chemicals
+# needed to calculate emission factors and embodied carbon
+
+# "plastic use" describes the estimated downstream use in long-lived products (= plastics)
+# estimate is based on material flow data from Levi & Cullen chemicals MFA study
+# calculations are documented in "HVC plastic shares.xlsx" (currently stored on maczek OneDrive)
+# TODO: insert proper literature reference to paper and store xlsx file on a central repo
+
+HVCs:
+  ethylene:
+    molar mass: 28
+    carbon mass: 24
+    plastics use: 0.879
+  propylene:
+    molar mass: 42
+    carbon mass: 36
+    plastics use: 0.85
+  BTX: # values are weighted averages of benzene, toluene and xylene isomers
+    molar mass: 92
+    carbon mass: 84
+    plastics use: 0.855
+
+methanol:
+  M1:
+    molar mass: 32
+    carbon mass: 12
+    plastics use: 0.273
+
+ethanol:
+  M1:
+    molar mass: 28
+    carbon mass: 24
+    plastics use: 1
\ No newline at end of file
diff --git a/message_ix_models/data/material/petrochemicals/demand_2025.csv b/message_ix_models/data/material/petrochemicals/demand_2025.csv
new file mode 100644
index 0000000000..18f1bd31be
--- /dev/null
+++ b/message_ix_models/data/material/petrochemicals/demand_2025.csv
@@ -0,0 +1,13 @@
+node,commodity,level,year,time,value,unit
+R12_AFR,HVC,demand,2025,year,2.7739844174725152,t
+R12_CHN,HVC,demand,2025,year,61.08932926073989,t
+R12_EEU,HVC,demand,2025,year,3.400187947954376,t
+R12_FSU,HVC,demand,2025,year,5.3654010528917055,t
+R12_LAM,HVC,demand,2025,year,12.58799309335563,t
+R12_MEA,HVC,demand,2025,year,46.1972305755139,t
+R12_NAM,HVC,demand,2025,year,54.98681624852799,t
+R12_PAO,HVC,demand,2025,year,11.724751702213592,t
+R12_PAS,HVC,demand,2025,year,43.54093825352989,t
+R12_RCPA,HVC,demand,2025,year,0.5394172787449382,t
+R12_SAS,HVC,demand,2025,year,13.58814744115441,t
+R12_WEU,HVC,demand,2025,year,32.53579341088541,t
diff --git a/message_ix_models/data/material/reporting/ch4_emi_reporting.yaml b/message_ix_models/data/material/reporting/ch4_emi_reporting.yaml
new file mode 100644
index 0000000000..891a7f9fdd
--- /dev/null
+++ b/message_ix_models/data/material/reporting/ch4_emi_reporting.yaml
@@ -0,0 +1,99 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+
+var:
+  emi
+
+iamc_prefix:
+  Emissions|CH4|
+
+common:
+  unit: Mt CH4/yr
+
+vars:
+  Industrial Processes|Chemicals:
+    filter:
+      { technology: [meth_ng, meth_ng_ccs], mode: feedstock }
+    short:
+      emi_ch4_ind_proc_chem
+
+  Energy|Demand|Industry|Chemicals:
+    filter:
+      { technology: [furnace_coal_petro, furnace_gas_petro, furnace_biomass_petro, furnace_foil_petro], mode: [high_temp, low_temp] }
+    short:
+      emi_ch4_ind_en_chem
+
+
+# cement
+#  Industrial Processes|Non-Metallic Minerals|Cement:
+#    filter:
+#      { technology: [clinker_wet_cement, clinker_dry_cement], mode: M1}
+#    short:
+#      emi_ch4_ind_proc_cement
+# not parametrized at the moment
+
+  Energy|Demand|Industry|Non-Metallic Minerals|Cement:
+    filter:
+      { technology: [furnace_coal_cement, furnace_gas_cement, furnace_biomass_cement, furnace_foil_cement], mode: [high_temp, low_temp] }
+    short:
+      emi_ch4_ind_en_cement
+
+
+# aluminum
+  Industrial Processes|Non-Ferrous Metals|Aluminium:
+    filter:
+      { technology: [prebake_aluminum, soderberg_aluminum], mode: M1}
+    short:
+      emi_ch4_ind_proc_alu
+
+  Energy|Demand|Industry|Non-Ferrous Metals|Aluminium:
+    filter:
+      { technology: [furnace_coal_aluminum, furnace_gas_aluminum, furnace_biomass_aluminum, furnace_foil_aluminum], mode: [high_temp, low_temp] }
+    short:
+      emi_ch4_ind_en_alu
+
+
+# iron and steel
+  Industrial Processes|Iron and Steel:
+    filter:
+      { technology: [DUMMY_limestone_supply_steel, prod_charcoal_steel, sinter_steel, pellet_steel, bf_steel, bof_steel,  eaf_steel, finishing_steel], mode: [M1, M2, M3, M4]}
+    short:
+      emi_ch4_ind_proc_steel
+
+#  Energy|Demand|Industry|Iron and Steel:
+#    filter:
+#      { technology: [furnace_coal_steel, furnace_gas_steel, furnace_biomass_steel, furnace_foil_steel], mode: [high_temp, low_temp] }
+#    short:
+#      emi_ch4_ind_en_steel
+
+
+# refinery
+#  Oil Refining|Electricity|Heat:
+#    filter:
+#      { technology: [furnace_elec_refining, hp_elec_refining, hp_gas_refining], mode: [high_temp, low_temp], commodity: electr, level: secondary }
+#    short:
+#      fe_pe_refining_el_ht
+#
+#  Oil Refining|Liquids|Oil|Light:
+#    filter:
+#      { technology: furnace_foil_refining, mode: high_temp, commodity: fueloil, level: secondary }
+#    short:
+#      fe_pe_refining_oil_l
+  # TODO: add refinery non co2 emission accounting
+
+
+  # ???: do we need this in the modular Materials reporting
+  # Residual industry
+
+#  Other Sector|Electricity|Thermal|Resistance:
+#    filter:
+#      { technology: elec_i, mode: M1, commodity: electr, level: final }
+#    short:
+#      fe_pe_other_el_th_res
+#
+#  Other Sector|Electricity|Thermal|Heat Pumps:
+#    filter:
+#      { technology: hp_el_I, mode: M1, commodity: electr, level: final }
+#    short:
+#      fe_pe_other_el_th_hp
diff --git a/message_ix_models/data/material/reporting/fe_methanol_ammonia_reporting.yaml b/message_ix_models/data/material/reporting/fe_methanol_ammonia_reporting.yaml
new file mode 100644
index 0000000000..495d34e99e
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fe_methanol_ammonia_reporting.yaml
@@ -0,0 +1,63 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+
+var:
+  in
+
+iamc_prefix:
+  Final Energy|Industry|
+
+common:
+  unit: GWa
+
+vars:
+  Chemicals|Ammonia|Electricity:
+    filter:
+      { technology: [biomass_NH3, biomass_NH3_ccs, coal_NH3, coal_NH3_ccs,
+                     electr_NH3, fueloil_NH3, fueloil_NH3_ccs, gas_NH3, gas_NH3_ccs ],
+        mode: M1,
+        commodity: electr, level: secondary }
+    short:
+      fe_pe_nh3_el
+
+  Chemicals|Ammonia|Solids|Biomass:
+    filter:
+      { technology: [ biomass_NH3, biomass_NH3_ccs ], mode: M1, commodity: biomass, level: primary }
+    short: fe_nh3_bio
+
+  Chemicals|Ammonia|Solids|Coal:
+    filter:
+      { technology: [ coal_NH3, coal_NH3_ccs ], mode: M1, commodity: coal, level: secondary }
+    short: fe_nh3_coal
+
+  Chemicals|Ammonia|Liquids|Oil:
+    filter:
+      { technology: [ fueloil_NH3, fueloil_NH3_ccs ], mode: M1, commodity: fueloil, level: secondary }
+    short: fe_nh3_oil
+
+  Chemicals|Ammonia|Gases|Gas:
+    filter:
+      { technology: [ gas_NH3, gas_NH3_ccs ], mode: M1, commodity: gas, level: secondary }
+    short: fe_nh3_gas
+
+
+  Chemicals|Methanol|Solids|Coal:
+    filter:
+      {technology: [meth_coal, meth_coal_ccs], mode: feedstock, commodity: coal, level: secondary}
+    short: fe_meth_coal
+
+  Chemicals|Methanol|Solids|Biomass:
+    filter:
+      {technology: [meth_bio, meth_bio_ccs], mode: feedstock, commodity: biomass, level: primary}
+    short: fe_meth_bio
+
+  Chemicals|Methanol|Gases|Gas:
+    filter:
+      {technology: [meth_ng, meth_ng_ccs], mode: feedstock, commodity: gas, level: secondary}
+    short: fe_meth_gas
+
+  Chemicals|Methanol|Hydrogen:
+    filter:
+      {technology: meth_h2, mode: feedstock, commodity: hydrogen, level: secondary}
+    short: fe_meth_h2
diff --git a/message_ix_models/data/material/reporting/fe_methanol_ammonia_reporting_aggregates.yaml b/message_ix_models/data/material/reporting/fe_methanol_ammonia_reporting_aggregates.yaml
new file mode 100644
index 0000000000..65cbd96855
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fe_methanol_ammonia_reporting_aggregates.yaml
@@ -0,0 +1,51 @@
+# collection of industry specific Final Energy non-energy reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  out
+
+iamc_prefix:
+  Final Energy|Industry|
+
+common:
+  unit:
+    GWa
+
+level_2:
+  Chemicals|Ammonia:
+    short: fe_nh3
+    components:
+      [ fe_nh3_coal, fe_nh3_gas, fe_nh3_oil, fe_nh3_bio ]
+
+  Chemicals|Methanol:
+    short: fe_meth
+    components:
+      [ fe_meth_coal, fe_meth_gas, fe_meth_bio, fe_meth_h2 ]
+
+
+level_1:
+  Chemicals|Ammonia|Solids:
+    short: fe_nh3_solids
+    components:
+      [ fe_nh3_coal, fe_nh3_bio ]
+
+  Chemicals|Ammonia|Liquids:
+    short: fe_nh3_liq
+    components:
+      [ fe_nh3_oil ]
+
+  Chemicals|Ammonia|Gases:
+    short: fe_nh3_gases
+    components:
+      [ fe_nh3_gas ]
+
+  Chemicals|Methanol|Solids:
+    short: fe_meth_solids
+    components:
+      [ fe_meth_coal, fe_meth_bio ]
+
+  Chemicals|Methanol|Gases:
+    short: fe_meth_gases
+    components:
+      [ fe_meth_gas ]
\ No newline at end of file
diff --git a/message_ix_models/data/material/reporting/fe_reporting.yaml b/message_ix_models/data/material/reporting/fe_reporting.yaml
new file mode 100644
index 0000000000..332cb1242e
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fe_reporting.yaml
@@ -0,0 +1,450 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+
+var:
+  in
+
+iamc_prefix:
+  Final Energy|Industry|
+
+common:
+  unit: GWa
+
+vars:
+  # chemicals
+  Chemicals|Heat:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_hvc_heat
+
+  Chemicals|High-Value Chemicals|Electricity|Heat:
+    filter:
+      { technology: furnace_elec_petro, mode: high_temp, commodity: electr, level: final }
+    short:
+      fe_pe_hvc_el_ht
+
+  Chemicals|High-Value Chemicals|Electricity|MTO:
+    filter:
+      { technology: MTO_petro, mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_hvc_el_mto
+
+  Chemicals|High-Value Chemicals|Electricity|Steam Cracking:
+    filter:
+      { technology: steam_cracker_petro, mode: [vacuum_gasoil, atm_gasoil, naphtha, ethane, propane], commodity: electr, level: final }
+    short:
+      fe_pe_hvc_el_sc
+
+  Chemicals|Formaldehyde|Electricity:
+    filter:
+      { technology: CH2O_synth, mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_ch2o_el
+
+  Chemicals|Resins|Electricity:
+    filter:
+      { technology: [CH2O_to_resin, furnace_elec_resins], mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_resin_el
+  Chemicals|Resins|Solids|Coal:
+    filter:
+      { technology: furnace_coal_resins, mode: M1, commodity: coal, level: final }
+    short:
+      fe_pe_resin_coal
+  Chemicals|Resins|Solids|Biomass:
+    filter:
+      { technology: furnace_biomass_resins, mode: M1, commodity: biomass, level: final }
+    short:
+      fe_pe_resin_bio
+  Chemicals|Resins|Liquids|Oil:
+    filter:
+      { technology: [furnace_foil_resins, furnace_loil_resins], mode: M1, commodity: [fueloil, lightoil], level: final }
+    short:
+      fe_pe_resin_oil
+  Chemicals|Resins|Liquids|Biomass:
+    filter:
+      { technology: [ furnace_ethanol_resins ], mode: M1, commodity: [ ethanol ], level: final }
+    short:
+      fe_pe_resin_eth
+  Chemicals|Resins|Gases|Gas:
+    filter:
+      { technology: furnace_gas_resins, mode: M1, commodity: gas, level: final }
+    short:
+      fe_pe_resin_gas
+  Chemicals|Resins|Hydrogen:
+    filter:
+      { technology: [furnace_h2_resins, fc_h2_resins], mode: M1, commodity: hydrogen, level: final }
+    short:
+      fe_pe_resin_h2
+  Chemicals|Resins|Liquids|Other:
+    filter:
+      { technology: [ furnace_methanol_resins ], mode: M1, commodity: methanol, level: final }
+    short:
+      fe_pe_resin_meth
+
+
+  Chemicals|High-Value Chemicals|Liquids|Oil|Light:
+    filter:
+      { technology: furnace_foil_petro, mode: high_temp, commodity: fueloil, level: final }
+    short:
+      fe_pe_hvc_oil_l
+
+  Chemicals|High-Value Chemicals|Liquids|Oil|Heavy:
+    filter:
+      { technology: furnace_loil_petro, mode: high_temp, commodity: lightoil, level: final }
+    short:
+      fe_pe_hvc_oil_h
+
+  Chemicals|High-Value Chemicals|Liquids|Biomass:
+    filter:
+      { technology: furnace_ethanol_petro, mode: high_temp, commodity: ethanol, level: final }
+    short:
+      fe_pe_hvc_bio_eth
+
+  Chemicals|High-Value Chemicals|Liquids|Other:
+    filter:
+      { technology: furnace_methanol_petro, mode: high_temp, commodity: methanol, level: final }
+    short:
+      fe_pe_hvc_oth
+
+  Chemicals|High-Value Chemicals|Gases|Gas:
+    filter:
+      { technology: furnace_gas_petro, mode: high_temp, commodity: gas, level: final }
+    short:
+      fe_pe_hvc_gas
+
+  Chemicals|High-Value Chemicals|Hydrogen:
+    filter:
+      { technology: furnace_h2_petro, mode: high_temp, commodity: hydrogen, level: final }
+    short:
+      fe_pe_hvc_h2
+
+  Chemicals|High-Value Chemicals|Solids|Biomass:
+    filter:
+      { technology: furnace_biomass_petro, mode: high_temp, commodity: biomass, level: final }
+    short:
+      fe_pe_hvc_bio
+
+  Chemicals|High-Value Chemicals|Solids|Coal:
+    filter:
+      { technology: furnace_coal_petro, mode: high_temp, commodity: coal, level: final }
+    short:
+      fe_pe_hvc_coal
+
+  Chemicals|High-Value Chemicals|Solids|Coke:
+    filter:
+      { technology: furnace_coke_petro, mode: high_temp, commodity: pet_coke, level: intermediate }
+    short:
+      fe_pe_hvc_coke
+
+  Chemicals|Methanol|Electricity:
+    filter:
+      { technology: [meth_h2, meth_ng_ccs], mode: feedstock, commodity: electr, level: secondary }
+    short:
+      fe_pe_meth_el
+
+  # cement
+  Non-Metallic Minerals|Cement|Heat:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_cement_heat
+
+  Non-Metallic Minerals|Cement|Electricity|Heat:
+    filter:
+      { technology: furnace_elec_cement, mode: high_temp, commodity: electr, level: final }
+    short:
+      fe_pe_cement_el_ht
+
+  Non-Metallic Minerals|Cement|Electricity|Other:
+    filter:
+      { technology: [clinker_dry_ccs_cement, clinker_dry_cement, clinker_wet_ccs_cement, clinker_wet_cement,
+                     grinding_ballmill_cement, grinding_vertmill_cement, raw_meal_prep_cement],
+        mode: M1,
+        commodity: electr, level: final }
+    short:
+      fe_pe_cement_el_oth
+
+  Non-Metallic Minerals|Cement|Liquids|Oil|Light:
+    filter:
+      { technology: furnace_foil_cement, mode: high_temp, commodity: fueloil, level: final }
+    short:
+      fe_pe_cement_oil_l
+
+  Non-Metallic Minerals|Cement|Liquids|Oil|Heavy:
+    filter:
+      { technology: furnace_loil_cement, mode: high_temp, commodity: lightoil, level: final }
+    short:
+      fe_pe_cement_oil_h
+
+  Non-Metallic Minerals|Cement|Liquids|Biomass:
+    filter:
+      { technology: furnace_ethanol_cement, mode: high_temp, commodity: ethanol, level: final }
+    short:
+      fe_pe_cement_bio_eth
+
+  Non-Metallic Minerals|Cement|Liquids|Other:
+    filter:
+      { technology: furnace_methanol_cement, mode: high_temp, commodity: methanol, level: final }
+    short:
+      fe_pe_cement_oth
+
+  Non-Metallic Minerals|Cement|Gases|Gas:
+    filter:
+      { technology: furnace_gas_cement, mode: high_temp, commodity: gas, level: final }
+    short:
+      fe_pe_cement_gas
+
+  Non-Metallic Minerals|Cement|Hydrogen:
+    filter:
+      { technology: furnace_h2_cement, mode: high_temp, commodity: hydrogen, level: final }
+    short:
+      fe_pe_cement_h2
+
+  Non-Metallic Minerals|Cement|Solids|Biomass:
+    filter:
+      { technology: furnace_biomass_cement, mode: high_temp, commodity: biomass, level: final }
+    short:
+      fe_pe_cement_bio
+
+  Non-Metallic Minerals|Cement|Solids|Coal:
+    filter:
+      { technology: furnace_coal_cement, mode: high_temp, commodity: coal, level: final }
+    short:
+      fe_pe_cement_coal
+
+  Non-Metallic Minerals|Cement|Solids|Coke:
+    filter:
+      { technology: furnace_coke_cement, mode: high_temp, commodity: pet_coke, level: final }
+    short:
+      fe_pe_cement_coke
+
+
+  # aluminum
+  Non-Ferrous Metals|Aluminium|Heat:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_aluminum_heat
+
+  Non-Ferrous Metals|Aluminium|Electricity|Heat:
+    filter:
+      { technology: [furnace_elec_aluminum, hp_elec_aluminum, hp_gas_aluminum],
+        mode: [high_temp, low_temp], commodity: electr, level: final }
+    short:
+      fe_pe_aluminum_el_ht
+
+  Non-Ferrous Metals|Aluminium|Electricity|Other:
+    filter:
+      { technology: [prebake_aluminum, soderberg_aluminum], mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_aluminum_el_oth
+
+  Non-Ferrous Metals|Aluminium|Liquids|Oil|Light:
+    filter:
+      { technology: furnace_foil_aluminum, mode: [high_temp, low_temp], commodity: fueloil, level: final }
+    short:
+      fe_pe_aluminum_oil_l
+
+  Non-Ferrous Metals|Aluminium|Liquids|Oil|Heavy:
+    filter:
+      { technology: furnace_loil_aluminum, mode: [high_temp, low_temp], commodity: lightoil, level: final }
+    short:
+      fe_pe_aluminum_oil_h
+
+  Non-Ferrous Metals|Aluminium|Liquids|Biomass:
+    filter:
+      { technology: furnace_ethanol_aluminum, mode: [high_temp, low_temp], commodity: ethanol, level: final }
+    short:
+      fe_pe_aluminum_bio_eth
+
+  Non-Ferrous Metals|Aluminium|Liquids|Other:
+    filter:
+      { technology: furnace_methanol_aluminum, mode: [high_temp, low_temp], commodity: methanol, level: final }
+    short:
+      fe_pe_aluminum_oth
+
+  Non-Ferrous Metals|Aluminium|Gases|Gas:
+    filter:
+      { technology: furnace_gas_aluminum, mode: [high_temp, low_temp], commodity: gas, level: final }
+    short:
+      fe_pe_aluminum_gas
+
+  Non-Ferrous Metals|Aluminium|Hydrogen:
+    filter:
+      { technology: furnace_h2_aluminum, mode: [high_temp, low_temp], commodity: hydrogen, level: final }
+    short:
+      fe_pe_aluminum_h2
+
+  Non-Ferrous Metals|Aluminium|Solids|Biomass:
+    filter:
+      { technology: furnace_biomass_aluminum, mode: [high_temp, low_temp], commodity: biomass, level: final }
+    short:
+      fe_pe_aluminum_bio
+
+  Non-Ferrous Metals|Aluminium|Solids|Coal:
+    filter:
+      { technology: furnace_coal_aluminum, mode: [high_temp, low_temp], commodity: coal, level: final }
+    short:
+      fe_pe_aluminum_coal
+
+
+  # iron and steel
+  Iron and Steel|Heat:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_steel_heat
+
+  Iron and Steel|Electricity:
+    filter:
+      { technology: [bf_steel, bf_ccs_steel, bf_biomass_steel, bof_steel, cokeoven_steel, dri_gas_steel,
+                     dri_gas_ccs_steel, dri_h2_steel, eaf_steel,
+                     finishing_steel, pellet_steel, sinter_steel],
+        mode: [M1, M2, M3], commodity: electr, level: final }
+    short:
+      fe_pe_steel_el
+
+  Iron and Steel|Gases|Gas:
+    filter:
+      { technology: [eaf_steel, dri_gas_steel], mode: [M1, M2, M3], commodity: gas, level: final }
+    #TODO: what about dummy_emission?
+    short:
+      fe_pe_steel_gas
+
+  Iron and Steel|Gases|Coal:
+    filter:
+      { technology: [bf_steel], mode: [M1, M2, M3, M4], commodity: [co_gas], level: final }
+    short:
+      fe_pe_steel_gases_coal
+
+  Iron and Steel|Liquids|Coal:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_steel_liq_coal
+
+  Iron and Steel|Liquids|Gas:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_steel_liq_gas
+
+  Iron and Steel|Liquids|Oil:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_steel_liq_oil
+
+  Iron and Steel|Liquids|Biomass:
+    filter:
+      { technology: [ empty ], mode: [ empty ], commodity: [ empty ], level: empty }
+    short:
+      fe_pe_steel_liq_bio
+
+  Iron and Steel|Solids|Coal:
+    filter:
+      { technology: [bf_steel, sinter_steel, pellet_steel], mode: [M1, M2, M3, M4], commodity: [coal, coke_iron], level: final }
+    # TODO: figure out, where to put cokeoven_steel?
+    short:
+      fe_pe_steel_solid_coal
+
+  Iron and Steel|Solids|Biomass:
+    filter:
+      { technology: [ bf_steel, bf_biomass_steel ], mode: [M1, M3, M4 ], commodity: [ charcoal ], level: final }
+    short:
+      fe_pe_steel_solid_bio
+
+  Iron and Steel|Hydrogen:
+    filter:
+      { technology: [ dri_h2_steel ], mode: [ M1 ], commodity: [ hydrogen ], level: final }
+    short:
+      fe_pe_steel_h2
+
+
+  # Residual industry
+  Other Sector|Electricity|Thermal|Resistance:
+    filter:
+      { technology: elec_i, mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_other_el_th_res
+
+  Other Sector|Electricity|Thermal|Heat Pumps:
+    filter:
+      { technology: hp_el_i, mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_other_el_th_hp
+
+  Other Sector|Electricity|Specific:
+    filter:
+      { technology: sp_el_I, mode: M1, commodity: electr, level: final }
+    short:
+      fe_pe_other_el_sp
+
+  Other Sector|Gases|Gas:
+    filter:
+      { technology: gas_i, mode: M1, commodity: gas, level: final }
+    short:
+      fe_pe_other_gas
+
+  Other Sector|Heat:
+    filter:
+      { technology: heat_i, mode: M1, commodity: d_heat, level: final }
+    short:
+      fe_pe_other_heat
+
+  Other Sector|Hydrogen|Combustion:
+    filter:
+      { technology: h2_i, mode: M1, commodity: hydrogen, level: final }
+    short:
+      fe_pe_other_h2_comb
+
+  Other Sector|Hydrogen|Fuel Cells:
+    filter:
+      { technology: h2_fc_I, mode: M1, commodity: hydrogen, level: final }
+    short:
+      fe_pe_other_h2_fc
+
+  Other Sector|Liquids|Oil|Light|Thermal:
+    filter:
+      { technology: loil_i, mode: M1, commodity: lightoil, level: final }
+    short:
+      fe_pe_other_oil_l_th
+
+  Other Sector|Liquids|Oil|Light|Specific:
+    filter:
+      { technology: sp_liq_I, mode: M1, commodity: lightoil, level: final }
+    short:
+      fe_pe_other_oil_l_sp
+
+  Other Sector|Liquids|Oil|Heavy|Thermal:
+    filter:
+      { technology: foil_i, mode: M1, commodity: fueloil, level: final }
+    short:
+      fe_pe_other_oil_h_th
+
+  Other Sector|Liquids|Biomass|Specific:
+    filter:
+      { technology: sp_eth_I, mode: M1, commodity: ethanol, level: final }
+    short:
+      fe_pe_other_eth_sp
+
+  Other Sector|Liquids|Biomass|Thermal:
+    filter:
+      { technology: eth_i, mode: M1, commodity: ethanol, level: final }
+    short:
+      fe_pe_other_eth_th
+
+  Other Sector|Solids|Biomass:
+    filter:
+      { technology: biomass_i, mode: M1, commodity: biomass, level: final }
+    short:
+      fe_pe_other_bio
+
+  Other Sector|Solids|Coal:
+    filter:
+      { technology: coal_i, mode: M1, commodity: coal, level: final }
+    short:
+      fe_pe_other_coal
diff --git a/message_ix_models/data/material/reporting/fe_reporting_aggregates.yaml b/message_ix_models/data/material/reporting/fe_reporting_aggregates.yaml
new file mode 100644
index 0000000000..96b1eef4bc
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fe_reporting_aggregates.yaml
@@ -0,0 +1,285 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+
+var:
+  in
+
+iamc_prefix:
+  Final Energy|Industry|
+
+common:
+  unit: GWa
+
+
+level_2:
+  Heat:
+    short: fe_pe_heat
+    components:
+      [ fe_pe_hvc_heat, fe_pe_cement_heat, fe_pe_aluminum_heat, fe_pe_steel_heat, fe_pe_other_heat ]
+  Electricity:
+    short: fe_pe_el
+    components:
+      [ fe_pe_ch_el, fe_pe_cement_el, fe_pe_aluminum_el, fe_pe_steel_el, fe_pe_other_el ]
+  Gases|Gas:
+    short: fe_pe_gas
+    components:
+      [ fe_pe_hvc_gas, fe_pe_cement_gas, fe_pe_aluminum_gas, fe_pe_steel_gas, fe_pe_other_gas ]
+  Gases:
+    short: fe_pe_gases
+    components:
+      [ fe_pe_hvc_gases, fe_pe_cement_gases, fe_pe_aluminum_gases, fe_pe_steel_gases, fe_pe_other_gases ]
+  Liquids|Biomass:
+    short: fe_pe_oil
+    components:
+      [ furnace_ethanol_petro, fe_pe_cement_bio_eth, fe_pe_aluminum_bio_eth, fe_pe_other_eth, fe_pe_steel_liq_bio]
+  Liquids|Oil:
+    short: fe_pe_oil
+    components:
+      [ fe_pe_hvc_oil, fe_pe_cement_oil, fe_pe_aluminum_oil, fe_pe_other_liq_bio ]
+  Liquids|Other:
+    short: fe_pe_liq_oth
+    components:
+      [ fe_pe_hvc_oth, fe_pe_cement_oth, fe_pe_aluminum_oth ]
+  Liquids:
+    short: fe_pe_liq
+    components:
+      [ fe_pe_hvc_liq, fe_pe_cement_liq, fe_pe_aluminum_liq, fe_pe_other_liq ]
+  Biomass:
+    short: fe_pe_bio
+    components:
+      [ fe_pe_hvc_bio_eth, fe_pe_cement_bio, fe_pe_aluminum_bio_eth, fe_pe_other_bio, fe_pe_other_eth]
+  Solids:
+    short: fe_pe_solids
+    components:
+      [ fe_pe_hvc_solids, fe_pe_cement_solids, fe_pe_aluminum_solids, fe_pe_steel_coal, fe_pe_other_solids]
+  Solids|Coal:
+    short: fe_pe_coal
+    components:
+      [ fe_pe_hvc_coal, fe_pe_cement_coal, fe_pe_aluminum_coal, fe_pe_steel_coal, fe_pe_other_coal ]
+  Solids|Biomass:
+    short: fe_pe_bio
+    components:
+      [ fe_pe_hvc_bio, fe_pe_cement_bio, fe_pe_aluminum_bio, fe_pe_other_bio ]
+  Hydrogen:
+    short: fe_pe_h2
+    components:
+      [ fe_pe_hvc_h2, fe_pe_cement_h2, fe_pe_aluminum_h2, fe_pe_steel_h2, fe_pe_other_h2 ]
+
+
+  Non-Metallic Minerals|Cement:
+    short: fe_pe_cement
+    components:
+      [ fe_pe_cement_el, fe_pe_cement_liq, fe_pe_cement_solids, fe_pe_cement_gas, fe_pe_cement_h2 ]
+
+  Non-Ferrous Metals|Aluminium:
+    short: fe_pe_alu
+    components:
+      [ fe_pe_aluminum_el, fe_pe_aluminum_liq, fe_pe_aluminum_solids, fe_pe_aluminum_gas, fe_pe_aluminum_h2 ]
+
+  Iron and Steel:
+    short: fe_pe_steel
+    components:
+      [ fe_pe_steel_el, fe_pe_steel_liq, fe_pe_steel_sol, fe_pe_steel_gases, fe_pe_steel_h2 ]
+
+  Other Sector:
+    short: fe_pe_oth
+    components:
+      [ fe_pe_other_el, fe_pe_other_liq, fe_pe_other_sol, fe_pe_other_gases, fe_pe_other_h2 ]
+
+  Chemicals|Other Sector:
+    short: fe_pe_chem_other
+    components:
+      [ fe_pe_resin_el, fe_pe_chem_other_gas, fe_pe_chem_other_oil,
+        fe_pe_chem_other_eth, fe_pe_chem_other_bio, fe_pe_chem_other_coal,
+        fe_pe_chem_other_h2 ]
+
+level_1:
+
+  # some Chemicals|<Fuels>|<Sub-fuel> variables are not specified here
+  #   because they are generated later in the workflow, after the
+  #   Methanol/HVC/Ammonia subcomponents are generated.
+  # The function run_reporting.add_chemicals_to_final_energy_variables
+  #   does this aggregation and updates all related aggregates.
+  # Only the ones not generated there are mapped here
+
+  Chemicals|Liquids|Other:
+    short: fe_pe_chem_oth
+    components:
+      [ fe_pe_hvc_oth ]
+  Chemicals|Liquids|Biomass:
+    short: fe_pe_chem_oth
+    components:
+      [ fe_pe_hvc_bio_eth ]
+
+  Chemicals|High-Value Chemicals|Electricity:
+    short: fe_pe_hvc_el
+    components:
+      [fe_pe_hvc_el_ht, fe_pe_hvc_el_mto, fe_pe_hvc_el_sc]
+  Chemicals|High-Value Chemicals|Liquids:
+    short: fe_pe_hvc_liq
+    components:
+      [ fe_pe_hvc_oil_l, fe_pe_hvc_oil_h, fe_pe_hvc_bio_eth, fe_pe_hvc_oth]
+  Chemicals|High-Value Chemicals|Liquids|Oil:
+    short: fe_pe_hvc_oil
+    components:
+      [ fe_pe_hvc_oil_l, fe_pe_hvc_oil_h ]
+  Chemicals|High-Value Chemicals|Solids:
+    short: fe_pe_hvc_solids
+    components:
+      [ fe_pe_hvc_bio, fe_pe_hvc_coal, fe_pe_hvc_coke]
+
+  Chemicals|Other Sector|Electricity:
+    short: fe_pe_chem_other_el
+    components:
+      [ fe_pe_resin_el ]
+  Chemicals|Other Sector|Gases|Gas:
+    short: fe_pe_chem_other_gas
+    components:
+      [ fe_pe_resin_gas ]
+  Chemicals|Other Sector|Gases:
+    short: fe_pe_chem_other_gases
+    components:
+      [ fe_pe_resin_gas ]
+  Chemicals|Other Sector|Liquids|Oil:
+    short: fe_pe_chem_other_oil
+    components:
+      [ fe_pe_resin_oil ]
+  Chemicals|Other Sector|Liquids|Biomass:
+    short: fe_pe_chem_other_eth
+    components:
+      [ fe_pe_resin_eth ]
+  Chemicals|Other Sector|Liquids|Other:
+    short: fe_pe_chem_other_meth
+    components:
+      [ fe_pe_resin_meth ]
+  Chemicals|Other Sector|Liquids:
+    short: fe_pe_chem_other_liq
+    components:
+      [ fe_pe_resin_eth, fe_pe_resin_oil ]
+  Chemicals|Other Sector|Solids|Biomass:
+    short: fe_pe_chem_other_bio
+    components:
+      [ fe_pe_resin_bio ]
+  Chemicals|Other Sector|Solids|Coal:
+    short: fe_pe_chem_other_coal
+    components:
+      [ fe_pe_resin_coal ]
+  Chemicals|Other Sector|Solids:
+    short: fe_pe_chem_other_sol
+    components:
+      [ fe_pe_resin_coal, fe_pe_resin_bio ]
+  Chemicals|Other Sector|Hydrogen:
+    short: fe_pe_chem_other_h2
+    components:
+      [ fe_pe_resin_h2 ]
+
+  # cement
+  Non-Metallic Minerals|Cement|Electricity:
+    short: fe_pe_cement_el
+    components:
+      [fe_pe_cement_el_ht, fe_pe_cement_el_oth]
+  Non-Metallic Minerals|Cement|Liquids|Oil:
+    short: fe_pe_cement_oil
+    components:
+      [ fe_pe_cement_oil_l, fe_pe_cement_oil_h ]
+  Non-Metallic Minerals|Cement|Liquids:
+    short: fe_pe_cement_liq
+    components:
+      [ fe_pe_cement_oil_l, fe_pe_cement_oil_h, fe_pe_cement_bio_eth, fe_pe_cement_oth ]
+  Non-Metallic Minerals|Cement|Solids:
+    short: fe_pe_cement_solids
+    components:
+      [ fe_pe_cement_bio, fe_pe_cement_coal, fe_pe_cement_coke ]
+  Non-Metallic Minerals|Cement|Gases:
+    short: fe_pe_cement_gases
+    components:
+      [ fe_pe_cement_gas ]
+
+  # aluminum
+  Non-Ferrous Metals|Aluminium|Electricity:
+    short: fe_pe_aluminum_el
+    components:
+      [ fe_pe_aluminum_el_ht, fe_pe_aluminum_el_oth ]
+  Non-Ferrous Metals|Aluminium|Liquids|Oil:
+    short: fe_pe_aluminum_oil
+    components:
+      [ fe_pe_aluminum_oil_l, fe_pe_aluminum_oil_h ]
+  Non-Ferrous Metals|Aluminium|Liquids:
+    short: fe_pe_aluminum_liq
+    components:
+      [ fe_pe_aluminum_oil_l, fe_pe_aluminum_oil_h, fe_pe_aluminum_oth, fe_pe_aluminum_bio_eth ]
+  Non-Ferrous Metals|Aluminium|Solids:
+    short: fe_pe_aluminum_solids
+    components:
+      [ fe_pe_aluminum_bio, fe_pe_aluminum_coal ]
+  Non-Ferrous Metals|Aluminium|Biomass:
+    short: fe_pe_aluminum_bio_tot
+    components:
+      [ fe_pe_aluminum_bio, fe_pe_aluminum_bio_eth ]
+  Non-Ferrous Metals|Aluminium|Gases:
+    short: fe_pe_aluminum_gases
+    components:
+      [ fe_pe_aluminum_gas ]
+
+  # TODO: Electricity could be further differentiated by process in fe_reporting.yaml
+  # iron and steel
+  #  Steel|Electricity:
+  #    filter:
+  #      { technology: [bf_steel , bof_steel, cokeoven_steel, dri_steel,
+  #                     eaf_steel, finishing_steel, pellet_steel, sinter_steel],
+  #        mode: [M1, M2, M3], commodity: electr, level: final }
+  #    short:
+  #      fe_pe_steel_el
+  Iron and Steel|Gases:
+    short: fe_pe_steel_gases
+    components:
+      [ fe_pe_steel_gas, fe_pe_steel_gases_coal ]
+  Iron and Steel|Liquids:
+    short: fe_pe_steel_liq
+    components:
+      [ fe_pe_steel_liq_coal, fe_pe_steel_liq_oil, fe_pe_steel_liq_bio, fe_pe_steel_liq_gas ]
+  Iron and Steel|Solids:
+    short: fe_pe_steel_sol
+    components:
+      [ fe_pe_steel_solid_coal, fe_pe_steel_solid_bio ]
+
+
+  # Residual industry
+  Other Sector|Electricity|Thermal:
+    short: fe_pe_other_el_th
+    components:
+      [fe_pe_other_el_th_res, fe_pe_other_el_th_hp ]
+  Other Sector|Electricity:
+    short: fe_pe_other_el
+    components:
+      [ fe_pe_other_el_th_res, fe_pe_other_el_th_hp, fe_pe_other_el_sp ]
+  Other Sector|Gases:
+    short: fe_pe_gases
+    components:
+      [ fe_pe_other_gas ]
+  Other Sector|Hydrogen:
+    short: fe_pe_other_h2
+    components:
+      [ fe_pe_other_h2_comb, fe_pe_other_h2_fc ]
+  Other Sector|Liquids|Oil|Light:
+    short: fe_pe_other_oil_l
+    components:
+      [ fe_pe_other_oil_l_th, fe_pe_other_oil_l_sp ]
+  Other Sector|Liquids|Oil:
+    short: fe_pe_other_oil
+    components:
+      [ fe_pe_other_oil_l_th, fe_pe_other_oil_l_sp, fe_pe_other_oil_h_th ]
+  Other Sector|Liquids|Biomass:
+    short: fe_pe_other_eth
+    components:
+      [ fe_pe_other_eth_th, fe_pe_other_eth_sp ]
+  Other Sector|Liquids:
+    short: fe_pe_other_liq
+    components:
+      [fe_pe_other_oil_l_sp, fe_pe_other_oil_l_th, fe_pe_other_oil_h_th, fe_pe_other_eth_th, fe_pe_other_eth_sp ]
+  Other Sector|Solids:
+    short: fe_pe_other_solids
+    components:
+      [ fe_pe_other_coal, fe_pe_other_bio ]
+
diff --git a/message_ix_models/data/material/reporting/fe_solar_reporting.yaml b/message_ix_models/data/material/reporting/fe_solar_reporting.yaml
new file mode 100644
index 0000000000..c9220c8746
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fe_solar_reporting.yaml
@@ -0,0 +1,20 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+# the filter is in the order: technology, mode, commodity
+
+var:
+  out
+
+iamc_prefix:
+  Final Energy|Industry|
+
+common:
+  unit: GWa
+
+vars:
+  Other Sector|Solar:
+    filter:
+      { technology: solar_i, mode: M1, commodity: i_therm, level: useful }
+    short:
+      fe_pe_other_solar
diff --git a/message_ix_models/data/material/reporting/fe_solar_reporting_aggregates.yaml b/message_ix_models/data/material/reporting/fe_solar_reporting_aggregates.yaml
new file mode 100644
index 0000000000..e1bef90167
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fe_solar_reporting_aggregates.yaml
@@ -0,0 +1,19 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+
+var:
+  out
+
+iamc_prefix:
+  Final Energy|Industry|
+
+common:
+  unit: GWa
+
+
+level_1:
+  Solar:
+    short: fe_pe_solar
+    components:
+      [ fe_pe_other_solar ]
\ No newline at end of file
diff --git a/message_ix_models/data/material/reporting/fs1_reporting.yaml b/message_ix_models/data/material/reporting/fs1_reporting.yaml
new file mode 100644
index 0000000000..f997d9c915
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fs1_reporting.yaml
@@ -0,0 +1,71 @@
+# collection of industry specific Final Energy non-energy reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  out
+
+iamc_prefix:
+  Final Energy|Non-Energy Use|
+
+common:
+  unit:
+    GWa
+
+vars:
+# ammonia
+  Chemicals|Ammonia|Electricity:
+    filter:
+      { technology: [ electr_NH3 ], mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      fe_fs_nh3_el
+
+  Chemicals|Ammonia|Solids|Biomass:
+    filter:
+      { technology: [ biomass_NH3, biomass_NH3_ccs ], mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      fe_fs_nh3_bio
+
+  Chemicals|Ammonia|Solids|Coal:
+    filter:
+      { technology: [ coal_NH3, coal_NH3_ccs ], mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      fe_fs_nh3_coal
+
+  Chemicals|Ammonia|Liquids|Oil:
+    filter:
+      { technology: fueloil_NH3, mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      fe_fs_nh3_oil
+
+  Chemicals|Ammonia|Gases|Gas:
+    filter:
+      { technology: [ gas_NH3, gas_NH3_ccs ], mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      fe_fs_nh3_gas
+
+
+# methanol
+  Chemicals|Methanol|Solids|Coal:
+    filter:
+        {technology: [meth_coal, meth_coal_ccs], mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        fe_fs_meth_coal
+
+  Chemicals|Methanol|Solids|Biomass:
+    filter:
+        {technology: [meth_bio, meth_bio_ccs], mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        fe_fs_meth_bio
+
+  Chemicals|Methanol|Gases|Gas:
+    filter:
+        {technology: [meth_ng, meth_ng_ccs], mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        fe_fs_meth_gas
+
+  Chemicals|Methanol|Hydrogen:
+    filter:
+        {technology: meth_h2, mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        fe_fs_meth_h2
diff --git a/message_ix_models/data/material/reporting/fs1_reporting_aggregates.yaml b/message_ix_models/data/material/reporting/fs1_reporting_aggregates.yaml
new file mode 100644
index 0000000000..6df705469c
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fs1_reporting_aggregates.yaml
@@ -0,0 +1,51 @@
+# collection of industry specific Final Energy non-energy reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  out
+
+iamc_prefix:
+  Final Energy|Non-Energy Use|
+
+common:
+  unit:
+    GWa
+
+level_2:
+  Chemicals|Ammonia:
+    short: fe_fs_nh3
+    components:
+      [ fe_fs_nh3_coal, fe_fs_nh3_gas, fe_fs_nh3_oil, fe_fs_nh3_bio ]
+
+  Chemicals|Methanol:
+    short: fe_fs_meth
+    components:
+      [ fe_fs_meth_coal, fe_fs_meth_gas, fe_fs_meth_bio, fe_fs_meth_h2 ]
+
+
+level_1:
+  Chemicals|Ammonia|Solids:
+    short: fe_fs_nh3_solids
+    components:
+      [ fe_fs_nh3_coal, fe_fs_nh3_bio ]
+
+  Chemicals|Ammonia|Liquids:
+    short: fe_fs_nh3_liq
+    components:
+      [ fe_fs_nh3_oil ]
+
+  Chemicals|Ammonia|Gases:
+    short: fe_fs_nh3_gases
+    components:
+      [ fe_fs_nh3_gas ]
+
+  Chemicals|Methanol|Solids:
+    short: fe_fs_meth_solids
+    components:
+      [ fe_fs_meth_coal, fe_fs_meth_bio ]
+
+  Chemicals|Methanol|Gases:
+    short: fe_fs_meth_gases
+    components:
+      [ fe_fs_meth_gas ]
diff --git a/message_ix_models/data/material/reporting/fs2_reporting.yaml b/message_ix_models/data/material/reporting/fs2_reporting.yaml
new file mode 100644
index 0000000000..425fdf3aa1
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fs2_reporting.yaml
@@ -0,0 +1,62 @@
+# collection of industry specific Final Energy non-energy reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  in
+
+iamc_prefix:
+  Final Energy|Non-Energy Use|
+
+common:
+  unit:
+    GWa
+
+vars:
+  Chemicals|High-Value Chemicals|Liquids|Oil|Steam Cracking|Naphtha:
+    filter:
+      {technology: steam_cracker_petro, mode: naphtha, commodity: naphtha, level: final}
+          # TODO: think about how to add co-production inputs
+    short:
+        fe_fs_hvc_oil_sc_naphtha
+
+  Chemicals|High-Value Chemicals|Liquids|Oil|Steam Cracking|Atmospheric Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: atm_gasoil, commodity: atm_gasoil, level: final }
+      # TODO: think about how to add co-production inputs
+    short:
+      fe_fs_hvc_oil_sc_ago
+  
+  Chemicals|High-Value Chemicals|Liquids|Oil|Steam Cracking|Vacuum Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: vacuum_gasoil, commodity: vacuum_gasoil, level: final }
+      # TODO: think about how to add co-production inputs
+    short:
+      fe_fs_hvc_oil_sc_vgo
+
+  Chemicals|High-Value Chemicals|Liquids|Biomass|Ethanol-to-Ethylene:
+    filter:
+      {technology: ethanol_to_ethylene_petro, mode: M1, commodity: ethanol, level: final}
+    short:
+        fe_fs_hvc_bio_etha
+
+  # TODO: broadcast with methanol shares to get coal/gas/biomass/hydrogen
+  Chemicals|High-Value Chemicals|Liquids|Other|MTO:
+    filter:
+      {technology: MTO_petro, mode: M1, commodity: methanol, level: final_material}
+    short:
+        fe_fs_hvc_oth_mto
+
+  Chemicals|High-Value Chemicals|Gases|Gas|Steam Cracking|Ethane:
+    filter:
+      {technology: steam_cracker_petro, mode: ethane, commodity: ethane, level: secondary_material }
+      # TODO: think about how to add co-production inputs
+    short:
+      fe_fs_hvc_gas_sc_eth
+
+  Chemicals|High-Value Chemicals|Gases|Gas|Steam Cracking|Propane:
+    filter:
+      {technology: steam_cracker_petro, mode: propane, commodity: propane, level: secondary_material }
+      # TODO: think about how to add co-production inputs
+    short:
+      fe_fs_hvc_gas_sc_prop
diff --git a/message_ix_models/data/material/reporting/fs2_reporting_aggregates.yaml b/message_ix_models/data/material/reporting/fs2_reporting_aggregates.yaml
new file mode 100644
index 0000000000..a8630ac8b8
--- /dev/null
+++ b/message_ix_models/data/material/reporting/fs2_reporting_aggregates.yaml
@@ -0,0 +1,70 @@
+# collection of industry specific Final Energy non-energy reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  in
+
+iamc_prefix:
+  Final Energy|Non-Energy Use|
+
+common:
+  unit:
+    GWa
+
+
+level_4:
+  Chemicals|High-Value Chemicals:
+    short: fe_fs_hvc
+    components:
+      [ fe_fs_hvc_liq, fe_fs_hvc_gases ]
+
+
+level_3:
+  Chemicals|High-Value Chemicals|Liquids:
+    short: fe_fs_hvc_liq
+    components:
+      [ fe_fs_hvc_liq_oil, fe_fs_hvc_liq_bio, fe_fs_hvc_oth ]
+
+  Chemicals|High-Value Chemicals|Gases:
+    short: fe_fs_hvc_gases
+    components:
+      [ fe_fs_hvc_gas_sc_eth, fe_fs_hvc_gas_sc_prop ]
+
+level_2:
+  Chemicals|High-Value Chemicals|Liquids|Oil:
+    short: fe_fs_hvc_liq_oil
+    components:
+      [ fe_fs_hvc_sc_oil ]
+
+  Chemicals|High-Value Chemicals|Liquids|Biomass:
+    short: fe_fs_hvc_liq_bio
+    components:
+      [ fe_fs_hvc_bio_etha ]
+
+  Chemicals|High-Value Chemicals|Gases|Gas:
+    short: fe_fs_hvc_gases_gas
+    components:
+      [ fe_fs_hvc_gas_sc_eth, fe_fs_hvc_gas_sc_prop ]
+
+  Chemicals|High-Value Chemicals|Liquids|Other:
+    short: fe_fs_hvc_oth
+    components:
+      [ fe_fs_hvc_oth_mto ]
+
+  Chemicals|High-Value Chemicals|Steam Cracking:
+    short: fe_fs_hvc_sc
+    components:
+      [ fe_fs_hvc_gas_sc, fe_fs_hvc_oil_sc ]
+
+
+level_1:
+  Chemicals|High-Value Chemicals|Liquids|Oil|Steam Cracking:
+    short: fe_fs_hvc_sc_oil
+    components:
+      [ fe_fs_hvc_oil_sc_naphtha, fe_fs_hvc_oil_sc_ago, fe_fs_hvc_oil_sc_vgo ]
+
+  Chemicals|High-Value Chemicals|Gases|Gas|Steam Cracking:
+    short: fe_fs_hvc_gas_sc
+    components:
+      [ fe_fs_hvc_gas_sc_eth, fe_fs_hvc_gas_sc_prop ]
\ No newline at end of file
diff --git a/message_ix_models/data/material/reporting/prod_addon_reporting.yaml b/message_ix_models/data/material/reporting/prod_addon_reporting.yaml
new file mode 100644
index 0000000000..260e9125e1
--- /dev/null
+++ b/message_ix_models/data/material/reporting/prod_addon_reporting.yaml
@@ -0,0 +1,25 @@
+# collection of industry specific production reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  ACT
+
+common:
+  unit: Mt/yr
+
+iamc_prefix:
+  Production|
+
+vars:
+  Non-Metallic Minerals|Clinker|Wet|CCS:
+    filter:
+        {technology: clinker_wet_ccs_cement, mode: M1}
+    short:
+        prod_clinker_ccs
+
+  Non-Metallic Minerals|Clinker|Dry|CCS:
+    filter:
+        {technology: clinker_dry_ccs_cement, mode: M1}
+    short:
+        prod_clinker_ccs
diff --git a/message_ix_models/data/material/reporting/prod_reporting.yaml b/message_ix_models/data/material/reporting/prod_reporting.yaml
new file mode 100644
index 0000000000..e746e91988
--- /dev/null
+++ b/message_ix_models/data/material/reporting/prod_reporting.yaml
@@ -0,0 +1,311 @@
+# collection of industry specific production reporting variables
+# grouped by sector and fuel
+# each variable specifies a list of filter for genno.operator.select()
+
+var:
+  out
+
+iamc_prefix:
+  Production|
+
+common:
+  unit: Mt/yr
+
+vars:
+  #chemicals
+  #ammonia
+  Chemicals|Ammonia|Coal|w/o CCS:
+    filter:
+        {technology: coal_NH3, mode: M1, commodity: NH3, level: secondary_material}
+    short:
+        prod_nh3_coal
+
+  Chemicals|Ammonia|Coal|w/ CCS:
+    filter:
+      { technology: coal_NH3_ccs, mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      prod_nh3_coal_ccs
+
+  Chemicals|Ammonia|Gases|w/o CCS:
+    filter:
+        {technology: gas_NH3, mode: M1, commodity: NH3, level: secondary_material}
+    short:
+        prod_nh3_gas
+
+  Chemicals|Ammonia|Gases|w/ CCS:
+    filter:
+      { technology: gas_NH3_ccs, mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      prod_nh3_gas_ccs
+
+  Chemicals|Ammonia|Biomass|w/o CCS:
+    filter:
+        {technology: biomass_NH3, mode: M1, commodity: NH3, level: secondary_material}
+    short:
+        prod_nh3_bio
+
+  Chemicals|Ammonia|Biomass|w/ CCS:
+    filter:
+      { technology: biomass_NH3_ccs, mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      prod_nh3_bio_ccs
+
+  Chemicals|Ammonia|Oil|w/o CCS:
+    filter:
+        {technology: fueloil_NH3, mode: M1, commodity: NH3, level: secondary_material}
+    short:
+        prod_nh3_oil
+
+  Chemicals|Ammonia|Oil|w/ CCS:
+    filter:
+      { technology: fueloil_NH3_ccs, mode: M1, commodity: NH3, level: secondary_material }
+    short:
+      prod_nh3_oil_ccs
+
+  Chemicals|Ammonia|Hydrogen:
+    filter:
+        {technology: electr_NH3, mode: M1, commodity: NH3, level: secondary_material}
+    short:
+        prod_nh3_h2
+
+
+  Chemicals|Nitrogen Fertilizer:
+    filter:
+        {technology: NH3_to_N_fertil, mode: M1, commodity: Fertilizer Use|Nitrogen, level: final_material}
+    short:
+        prod_nfert
+
+  # methanol
+  Chemicals|Methanol|Coal|w/o CCS:
+    filter:
+        {technology: meth_coal, mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        prod_meth_coal
+    unit: GWa
+
+  Chemicals|Methanol|Coal|w/ CCS:
+    filter:
+      { technology: meth_coal_ccs, mode: feedstock, commodity: methanol, level: primary_material }
+    short:
+      prod_meth_coal_ccs
+    unit: GWa
+
+  Chemicals|Methanol|Gases|w/o CCS:
+    filter:
+        {technology: meth_ng, mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        prod_meth_gas
+    unit: GWa
+
+  Chemicals|Methanol|Gases|w/ CCS:
+    filter:
+      { technology: meth_ng_ccs, mode: feedstock, commodity: methanol, level: primary_material }
+    short:
+      prod_meth_gas_ccs
+    unit: GWa
+
+  Chemicals|Methanol|Biomass|w/o CCS:
+    filter:
+        {technology: meth_bio, mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        prod_meth_bio
+    unit: GWa
+
+  Chemicals|Methanol|Biomass|w/ CCS:
+    filter:
+      { technology: meth_bio_ccs, mode: feedstock, commodity: methanol, level: primary_material }
+    short:
+      prod_meth_bio_ccs
+    unit: GWa
+
+  Chemicals|Methanol|Hydrogen:
+    filter:
+        {technology: meth_h2, mode: feedstock, commodity: methanol, level: primary_material}
+    short:
+        prod_meth_h2
+    unit: GWa
+
+  # HVCs
+  Chemicals|High-Value Chemicals|Ethylene|Steam Cracking|Naphtha:
+    filter:
+      {technology: steam_cracker_petro, mode: naphtha, commodity: ethylene, level: final_material}
+          # TODO: think about how to add co-production inputs
+    short:
+        prod_ethy_sc_naphtha
+
+  Chemicals|High-Value Chemicals|Ethylene|Steam Cracking|Atmospheric Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: atm_gasoil, commodity: ethylene, level: final_material }
+    short:
+      prod_ethy_sc_ago
+  
+  Chemicals|High-Value Chemicals|Ethylene|Steam Cracking|Vacuum Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: vacuum_gasoil, commodity: ethylene, level: final_material }
+    short:
+      prod_ethy_sc_vgo
+
+  Chemicals|High-Value Chemicals|Ethylene|Steam Cracking|Ethane:
+    filter:
+      {technology: steam_cracker_petro, mode: ethane, commodity: ethylene, level: final_material }
+    short:
+      prod_ethy_sc_eth
+
+  Chemicals|High-Value Chemicals|Ethylene|Steam Cracking|Propane:
+    filter:
+      {technology: steam_cracker_petro, mode: propane, commodity: ethylene, level: final_material }
+    short:
+      prod_ethy_sc_prop
+
+  Chemicals|High-Value Chemicals|Ethylene|Ethanol Dehydration:
+    filter:
+      {technology: ethanol_to_ethylene_petro, mode: M1, commodity: ethylene, level: final_material}
+    short:
+        prod_ethy_bio
+
+  Chemicals|High-Value Chemicals|Ethylene|Methanol-to-olefins:
+    filter:
+      {technology: MTO_petro, mode: M1, commodity: ethylene, level: final_material}
+    short:
+        prod_ethy_oth
+
+  Chemicals|High-Value Chemicals|Propylene|Steam Cracking|Naphtha:
+    filter:
+      {technology: steam_cracker_petro, mode: naphtha, commodity: propylene, level: final_material}
+          # TODO: think about how to add co-production inputs
+    short:
+        prod_propy_sc_naphtha
+
+
+  Chemicals|High-Value Chemicals|Propylene|Steam Cracking|Atmospheric Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: atm_gasoil, commodity: propylene, level: final_material }
+    short:
+      prod_propy_sc_ago
+  
+  Chemicals|High-Value Chemicals|Propylene|Steam Cracking|Vacuum Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: vacuum_gasoil, commodity: propylene, level: final_material }
+    short:
+      prod_propy_sc_vgo
+
+  Chemicals|High-Value Chemicals|Propylene|Steam Cracking|Ethane:
+    filter:
+      { technology: steam_cracker_petro, mode: ethane, commodity: propylene, level: final_material }
+    short:
+      prod_propy_sc_eth
+
+  Chemicals|High-Value Chemicals|Propylene|Steam Cracking|Propane:
+    filter:
+      { technology: steam_cracker_petro, mode: propane, commodity: propylene, level: final_material }
+    short:
+      prod_propy_sc_prop
+
+  Chemicals|High-Value Chemicals|Propylene|Methanol-to-olefins:
+    filter:
+      {technology: MTO_petro, mode: M1, commodity: propylene, level: final_material}
+    short:
+        prod_propy_oth
+
+  Chemicals|High-Value Chemicals|Propylene|Catalytic Cracking:
+    filter:
+      { technology: catalytic_cracking_ref, mode: [atm_gasoil, vacuum_gasoil], commodity: propylene, level: final_material }
+    short:
+      prod_propy_cc_prop
+
+  Chemicals|High-Value Chemicals|BTX|Steam Cracking|Naphtha:
+    filter:
+      {technology: steam_cracker_petro, mode: naphtha, commodity: BTX, level: final_material}
+          # TODO: think about how to add co-production inputs
+    short:
+        prod_btx_sc_naphtha
+
+  Chemicals|High-Value Chemicals|BTX|Steam Cracking|Atmospheric Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: atm_gasoil, commodity: BTX, level: final_material }
+    short:
+      prod_btx_sc_ago
+
+  Chemicals|High-Value Chemicals|BTX|Steam Cracking|Vacuum Gasoil:
+    filter:
+      {technology: steam_cracker_petro, mode: vacuum_gasoil, commodity: BTX, level: final_material }
+    short:
+      prod_btx_sc_vgo
+
+  Chemicals|High-Value Chemicals|BTX|Steam Cracking|Propane:
+    filter:
+      { technology: steam_cracker_petro, mode: propane, commodity: BTX, level: final_material }
+    short:
+      prod_btx_sc_prop
+
+  Chemicals|High-Value Chemicals|BTX|Catalytic Reforming:
+    filter:
+      { technology: catalytic_reforming_ref, mode: M1, commodity: BTX, level: final_material }
+    short:
+      prod_btx_ref
+
+
+  # cement
+  Non-Metallic Minerals|Cement|Ballmill:
+    filter:
+      { technology: grinding_ballmill_cement, mode: M1, commodity: cement, level: product }
+    short:
+      prod_cement_bmill
+
+  Non-Metallic Minerals|Cement|Vertical Mill:
+    filter:
+      { technology: grinding_vertmill_cement, mode: M1, commodity: cement, level: product }
+    short:
+      prod_cement_vmill
+
+  Non-Metallic Minerals|Clinker|Wet:
+    filter:
+      { technology: clinker_wet_cement, mode: M1, commodity: clinker_cement, level: tertiary_material }
+    short:
+      prod_clinker_wet
+
+  Non-Metallic Minerals|Clinker|Dry:
+    filter:
+      { technology: clinker_dry_cement, mode: M1, commodity: clinker_cement, level: tertiary_material }
+    short:
+      prod_clinker_dry
+
+
+  # aluminum
+  Non-Ferrous Metals|Aluminium|Primary:
+    filter:
+      { technology: [prebake_aluminum, soderberg_aluminum], mode: M1, commodity: aluminum, level: final_material }
+    short:
+      prod_alu_sec
+
+  Non-Ferrous Metals|Aluminium|Secondary:
+    filter:
+      { technology: [secondary_aluminum], mode: M1, commodity: aluminum, level: final_material }
+    short:
+      prod_alu_prim
+
+
+  # steel
+  Iron and Steel|Steel|Secondary|BOF:
+    filter:
+      { technology: [bof_steel], mode:[M1, M2], commodity: steel, level: final_material }
+    short:
+      prod_steel_sec_bof
+
+  Iron and Steel|Steel|Secondary|EAF:
+    filter:
+      { technology: [ eaf_steel ], mode: [ M2], commodity: steel, level: final_material }
+    short:
+      prod_steel_sec_eaf
+
+  Iron and Steel|Steel|Primary|EAF:
+    filter:
+      { technology: [eaf_steel], mode: [M1, M3], commodity: steel, level: final_material }
+    short:
+      prod_steel_prim_eaf
+
+  Iron and Steel|Steel|Primary|BOF:
+    filter:
+      { technology: [ bof_steel ], mode: [ M1, M2 ], commodity: steel, level: final_material }
+    short:
+      prod_steel_prim_bof
diff --git a/message_ix_models/data/material/reporting/prod_reporting_aggregates.yaml b/message_ix_models/data/material/reporting/prod_reporting_aggregates.yaml
new file mode 100644
index 0000000000..ba2071daf5
--- /dev/null
+++ b/message_ix_models/data/material/reporting/prod_reporting_aggregates.yaml
@@ -0,0 +1,116 @@
+# collection of industry specific final energy reporting variables
+# grouped by sector
+# each variable specifies a list of filter
+
+var:
+  out
+
+iamc_prefix:
+  Production|
+
+common:
+  unit: Mt/yr
+
+level_4:
+  Chemicals:
+    short: prod_chem
+    components:
+      [ prod_hvc, prod_nh3, prod_meth ]
+
+level_3:
+  Chemicals|High-Value Chemicals:
+    short: prod_hvc
+    components:
+      [ prod_ethy, prod_propy, prod_btx]
+
+level_2:
+  Chemicals|Ammonia:
+    short: prod_nh3
+    components:
+      [ prod_nh3_gas_tot, prod_nh3_coal_tot, prod_nh3_bio_tot, prod_nh3_oil_tot ]
+  Chemicals|Methanol:
+    short: prod_meth
+    components:
+      [ prod_meth_gas_tot, prod_meth_coal_tot, prod_meth_bio_tot, prod_meth_h2 ]
+  Chemicals|High-Value Chemicals|Ethylene:
+    short: prod_ethy
+    components:
+      [ prod_ethy_sc, prod_ethy_bio, prod_ethy_oth]
+  Chemicals|High-Value Chemicals|Propylene:
+    short: prod_propy
+    components:
+      [ prod_propy_sc, prod_propy_oth, prod_propy_cc_prop]
+  Chemicals|High-Value Chemicals|BTX:
+    short: prod_btx
+    components:
+      [ prod_btx_sc, prod_btx_ref]
+
+level_1:
+  Chemicals|Ammonia|Gases:
+    short: prod_nh3_gas_tot
+    components: [ prod_nh3_gas, prod_nh3_gas_ccs ]
+  Chemicals|Ammonia|Coal:
+    short: prod_nh3_coal_tot
+    components: [ prod_nh3_coal, prod_nh3_coal_ccs ]
+  Chemicals|Ammonia|Biomass:
+    short: prod_nh3_bio_tot
+    components: [ prod_nh3_bio, prod_nh3_bio_ccs ]
+  Chemicals|Ammonia|Oil:
+    short: prod_nh3_oil_tot
+    components: [ prod_nh3_oil, prod_nh3_oil_ccs ]
+
+  Chemicals|Methanol|Gases:
+    short: prod_meth_gas_tot
+    components: [ prod_meth_gas, prod_meth_gas_ccs ]
+  Chemicals|Methanol|Coal:
+    short: prod_meth_coal_tot
+    components: [ prod_meth_coal, prod_meth_coal_ccs ]
+  Chemicals|Methanol|Biomass:
+    short: prod_meth_bio_tot
+    components: [ prod_meth_bio, prod_meth_bio_ccs]
+
+  Chemicals|High-Value Chemicals|Ethylene|Steam Cracking:
+    short: prod_ethy_sc
+    components: [ prod_ethy_sc_naphtha, prod_ethy_sc_ago, prod_ethy_sc_vgo, prod_ethy_sc_eth, prod_ethy_sc_prop]
+  Chemicals|High-Value Chemicals|Propylene|Steam Cracking:
+    short: prod_propy_sc
+    components:
+      [ prod_propy_sc_naphtha, prod_propy_sc_ago, prod_propy_sc_vgo, prod_propy_sc_eth, prod_propy_cc_prop]
+  Chemicals|High-Value Chemicals|BTX:
+    short: prod_btx_sc
+    components:
+      [ prod_btx_sc_naphtha, prod_btx_sc_ago, prod_btx_sc_vgo, prod_btx_sc_eth, prod_btx_sc_prop]
+
+  # cement
+  Non-Metallic Minerals|Cement:
+    short: fe_pe_cement_el
+    components:
+      [prod_cement_bmill, prod_cement_vmill]
+  Non-Metallic Minerals|Clinker:
+    short: prod_clinker
+    components:
+      [ prod_clinker_wet, prod_clinker_dry ]
+
+  # aluminum
+  Non-Ferrous Metals|Aluminium:
+    short: prod_alu
+    components:
+      [ prod_alu_prim, prod_alu_sec ]
+
+  #steel
+  Steel:
+    short: prod_steel
+    components:
+      [ prod_steel_prim_eaf, prod_steel_sec_eaf ]
+  Iron and Steel|Steel:
+    short: prod_steel
+    components:
+      [ prod_steel_prim_eaf, prod_steel_sec_eaf ]
+  Iron and Steel|Steel|Secondary:
+    short: prod_steel_sec
+    components:
+      [ prod_steel_sec_eaf ]
+  Iron and Steel|Steel|Primary:
+    short: prod_steel_prim
+    components:
+      [ prod_steel_prim_eaf ]
diff --git a/message_ix_models/data/material/set.yaml b/message_ix_models/data/material/set.yaml
index e5310f6c72..3679bed374 100644
--- a/message_ix_models/data/material/set.yaml
+++ b/message_ix_models/data/material/set.yaml
@@ -13,6 +13,11 @@ common:
   technology:
     add:
     - extract__freshwater_supply
+    remove:
+    # remove deprecated technologies that are sometimes still existent in older MESSAGEix-GLOBIOM versions
+    - hp_gas_i
+    - sp_coal_I
+    - hp_gas_rc
 
   commodity:
     require:
@@ -30,14 +35,18 @@ common:
     add:
     - water
     - fresh_water_supply
+    - freshwater_supply
 
   level:
+    add:
+    - water_supply
+
     require:
     - primary
     - secondary
     - useful
     - final
-    - water_supply
+    #- water_supply
     - export
     - import
 
@@ -82,6 +91,7 @@ common:
     - Mt/yr
     - USD/kW
 
+
 generic:
   commodity:
     add:
@@ -108,7 +118,6 @@ generic:
     - furnace_coal_steel
     - furnace_elec_steel
     - furnace_h2_steel
-    - hp_gas_steel
     - hp_elec_steel
     - fc_h2_steel
     - solar_steel
@@ -122,7 +131,6 @@ generic:
     - furnace_coal_cement
     - furnace_elec_cement
     - furnace_h2_cement
-    - hp_gas_cement
     - hp_elec_cement
     - fc_h2_cement
     - solar_cement
@@ -136,7 +144,6 @@ generic:
     - furnace_gas_aluminum
     - furnace_elec_aluminum
     - furnace_h2_aluminum
-    - hp_gas_aluminum
     - hp_elec_aluminum
     - fc_h2_aluminum
     - solar_aluminum
@@ -151,7 +158,6 @@ generic:
     - furnace_gas_petro
     - furnace_elec_petro
     - furnace_h2_petro
-    - hp_gas_petro
     - hp_elec_petro
     - fc_h2_petro
     - solar_petro
@@ -166,7 +172,6 @@ generic:
     - furnace_gas_refining
     - furnace_elec_refining
     - furnace_h2_refining
-    - hp_gas_refining
     - hp_elec_refining
     - fc_h2_refining
     - solar_refining
@@ -180,7 +185,6 @@ generic:
     - furnace_gas_resins
     - furnace_elec_resins
     - furnace_h2_resins
-    - hp_gas_resins
     - hp_elec_resins
     - fc_h2_resins
     - solar_resins
@@ -284,7 +288,6 @@ petro_chemicals:
     - ref_hil
     - ref_lol
     - coal_fs
-    - coal_fs
     - ethanol_fs
     - gas_fs
     - foil_fs
@@ -295,6 +298,10 @@ petro_chemicals:
     add:
     - steam_cracker
 
+  sector:
+    remove:
+    - i_feed
+
 steel:
   mode:
     add:
@@ -334,7 +341,9 @@ steel:
     - demand
     - dummy_emission
     - end_of_life
-    - dummy_end_of_life
+    - dummy_end_of_life_1
+    - dummy_end_of_life_2
+    - dummy_end_of_life_3
     - dummy_ccs
 
   technology:
@@ -356,7 +365,9 @@ steel:
     - prep_secondary_steel_3
     - finishing_steel
     - manuf_steel
-    - scrap_recovery_steel
+    - scrap_recovery_steel_1
+    - scrap_recovery_steel_2
+    - scrap_recovery_steel_3
     - DUMMY_ore_supply
     - DUMMY_limestone_supply_steel
     - DUMMY_coal_supply
@@ -503,9 +514,11 @@ aluminum:
     - dummy_end_of_life_2
     - dummy_end_of_life_3
 
-
   technology:
     add:
+    - trade_alumina
+    - import_alumina
+    - export_alumina
     - refining_aluminum
     - soderberg_aluminum
     - prebake_aluminum
@@ -547,11 +560,13 @@ fertilizer:
     - NH3
     - Fertilizer Use|Nitrogen
     - wastewater
+
   level:
     add:
     - secondary_material
     - final_material
     - wastewater
+
   technology:
     require:
     - h2_bio_ccs  # Reference for vent-to-storage ratio
@@ -573,6 +588,7 @@ fertilizer:
     - gas_NH3_ccs
     - coal_NH3_ccs
     - fueloil_NH3_ccs
+
   relation:
     add:
       - NH3_trd_cap
@@ -625,6 +641,7 @@ methanol:
     - meth_trd
     - meth_exp
     - meth_imp
+    - meth_ind_fs
     remove:
     - sp_meth_I
     - meth_rc
diff --git a/message_ix_models/data/material/steel/LED/Global_steel_MESSAGE.xlsx b/message_ix_models/data/material/steel/LED/Global_steel_MESSAGE.xlsx
new file mode 100644
index 0000000000..480d175423
--- /dev/null
+++ b/message_ix_models/data/material/steel/LED/Global_steel_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8286c8a78377364b8051d662efa362933028af85e7636ac82514c0860d63e246
+size 109111
diff --git a/message_ix_models/data/material/steel/SSP1/Global_steel_MESSAGE.xlsx b/message_ix_models/data/material/steel/SSP1/Global_steel_MESSAGE.xlsx
new file mode 100644
index 0000000000..84a3a0b201
--- /dev/null
+++ b/message_ix_models/data/material/steel/SSP1/Global_steel_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7eef3a8c97e3fd0bcbf2fbe8489ef999848a1df66fff60211b0648081655f337
+size 108734
diff --git a/message_ix_models/data/material/steel/SSP2/Global_steel_MESSAGE.xlsx b/message_ix_models/data/material/steel/SSP2/Global_steel_MESSAGE.xlsx
new file mode 100644
index 0000000000..0f4a7bbfeb
--- /dev/null
+++ b/message_ix_models/data/material/steel/SSP2/Global_steel_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e48144b16ba362cc57def26ca4f538dd54cafa60f6daf4abb9c8966e42e8932
+size 108408
diff --git a/message_ix_models/data/material/steel/SSP3/Global_steel_MESSAGE.xlsx b/message_ix_models/data/material/steel/SSP3/Global_steel_MESSAGE.xlsx
new file mode 100644
index 0000000000..ae7b1394f3
--- /dev/null
+++ b/message_ix_models/data/material/steel/SSP3/Global_steel_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eeec5d4cc76cf8fe71dfbe8bc494de8d104ba5ff21436ca7611977cbbf465049
+size 109105
diff --git a/message_ix_models/data/material/steel/SSP4/Global_steel_MESSAGE.xlsx b/message_ix_models/data/material/steel/SSP4/Global_steel_MESSAGE.xlsx
new file mode 100644
index 0000000000..5e1f1331d5
--- /dev/null
+++ b/message_ix_models/data/material/steel/SSP4/Global_steel_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc065787012923159c8d811fe50817d49327acd0ef705cef88b520462395ec4c
+size 108480
diff --git a/message_ix_models/data/material/steel/SSP5/Global_steel_MESSAGE.xlsx b/message_ix_models/data/material/steel/SSP5/Global_steel_MESSAGE.xlsx
new file mode 100644
index 0000000000..fde32dd186
--- /dev/null
+++ b/message_ix_models/data/material/steel/SSP5/Global_steel_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:768ed79e4464eebe2d6821317d90f0e74b6603e834e87c3756c9eaf9adeec53c
+size 108859
diff --git a/message_ix_models/data/material/steel/demand_2025.csv b/message_ix_models/data/material/steel/demand_2025.csv
new file mode 100644
index 0000000000..25f9b074d2
--- /dev/null
+++ b/message_ix_models/data/material/steel/demand_2025.csv
@@ -0,0 +1,13 @@
+node,commodity,level,year,time,value,unit
+R12_AFR,steel,demand,2025,year,18.29593163087441,t
+R12_EEU,steel,demand,2025,year,35.78770203948542,t
+R12_FSU,steel,demand,2025,year,58.04721983130711,t
+R12_LAM,steel,demand,2025,year,71.06570859301353,t
+R12_MEA,steel,demand,2025,year,74.42715308961411,t
+R12_NAM,steel,demand,2025,year,89.62934679076031,t
+R12_PAO,steel,demand,2025,year,55.692717450262336,t
+R12_PAS,steel,demand,2025,year,136.46805666602015,t
+R12_SAS,steel,demand,2025,year,175.18623188183054,t
+R12_WEU,steel,demand,2025,year,137.43064826765112,t
+R12_CHN,steel,demand,2025,year,1038.741880167054,t
+R12_RCPA,steel,demand,2025,year,29.41943405242765,t
diff --git a/message_ix_models/data/material/steel/demand_steel.yaml b/message_ix_models/data/material/steel/demand_steel.yaml
index 7d437a8ada..2c6f17471a 100644
--- a/message_ix_models/data/material/steel/demand_steel.yaml
+++ b/message_ix_models/data/material/steel/demand_steel.yaml
@@ -1,36 +1,36 @@
 - R12_AFR:
+    value: 13.18061447271739
     year: 2020
-    value: 20.04000
-- R12_RCPA:
+- R12_CHN:
+    value: 1010.2975341620793
     year: 2020
-    value: 12.08000
 - R12_EEU:
+    value: 35.47528478655447
     year: 2020
-    value: 56.55000
 - R12_FSU:
+    value: 57.570564544991505
     year: 2020
-    value: 56.50000
 - R12_LAM:
+    value: 60.29012833867176
     year: 2020
-    value: 64.94000
 - R12_MEA:
+    value: 68.33029429683499
     year: 2020
-    value: 54.26000
 - R12_NAM:
+    value: 93.736225006495
     year: 2020
-    value: 97.76000
 - R12_PAO:
+    value: 58.48
     year: 2020
-    value: 91.30000
 - R12_PAS:
+    value: 123.84871054
+    year: 2020
+- R12_RCPA:
+    value: 23.914331400000002
     year: 2020
-    value: 65.20000
 - R12_SAS:
+    value: 103.72625208000001
     year: 2020
-    value: 164.28000
 - R12_WEU:
+    value: 139.432614046901
     year: 2020
-    value: 131.95000
-- R12_CHN:
-    year: 2020
-    value: 980.10000
\ No newline at end of file
diff --git a/message_ix_models/data/material/steel_cement/SSP1/Global_steel_cement_MESSAGE.xlsx b/message_ix_models/data/material/steel_cement/SSP1/Global_steel_cement_MESSAGE.xlsx
new file mode 100644
index 0000000000..ca9e6c2653
--- /dev/null
+++ b/message_ix_models/data/material/steel_cement/SSP1/Global_steel_cement_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4923b5ccaec1294281eb72ea8fcc1fe2c16009e172ad57fa188bc608f5ed368
+size 118547
diff --git a/message_ix_models/data/material/steel_cement/SSP2/Global_steel_cement_MESSAGE.xlsx b/message_ix_models/data/material/steel_cement/SSP2/Global_steel_cement_MESSAGE.xlsx
new file mode 100644
index 0000000000..ca9e6c2653
--- /dev/null
+++ b/message_ix_models/data/material/steel_cement/SSP2/Global_steel_cement_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4923b5ccaec1294281eb72ea8fcc1fe2c16009e172ad57fa188bc608f5ed368
+size 118547
diff --git a/message_ix_models/data/material/steel_cement/SSP3/Global_steel_cement_MESSAGE.xlsx b/message_ix_models/data/material/steel_cement/SSP3/Global_steel_cement_MESSAGE.xlsx
new file mode 100644
index 0000000000..ca9e6c2653
--- /dev/null
+++ b/message_ix_models/data/material/steel_cement/SSP3/Global_steel_cement_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4923b5ccaec1294281eb72ea8fcc1fe2c16009e172ad57fa188bc608f5ed368
+size 118547
diff --git a/message_ix_models/data/material/steel_cement/SSP4/Global_steel_cement_MESSAGE.xlsx b/message_ix_models/data/material/steel_cement/SSP4/Global_steel_cement_MESSAGE.xlsx
new file mode 100644
index 0000000000..ca9e6c2653
--- /dev/null
+++ b/message_ix_models/data/material/steel_cement/SSP4/Global_steel_cement_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4923b5ccaec1294281eb72ea8fcc1fe2c16009e172ad57fa188bc608f5ed368
+size 118547
diff --git a/message_ix_models/data/material/steel_cement/SSP5/Global_steel_cement_MESSAGE.xlsx b/message_ix_models/data/material/steel_cement/SSP5/Global_steel_cement_MESSAGE.xlsx
new file mode 100644
index 0000000000..ca9e6c2653
--- /dev/null
+++ b/message_ix_models/data/material/steel_cement/SSP5/Global_steel_cement_MESSAGE.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4923b5ccaec1294281eb72ea8fcc1fe2c16009e172ad57fa188bc608f5ed368
+size 118547
diff --git a/message_ix_models/data/technology.yaml b/message_ix_models/data/technology.yaml
index 5861b32820..7fe260172c 100644
--- a/message_ix_models/data/technology.yaml
+++ b/message_ix_models/data/technology.yaml
@@ -598,6 +598,13 @@ solar_res8:
   sector: electricity
   output: [electr, secondary]
 
+solar_res_hist_2000:
+  name: solar_res_hist_2000
+  description: Currently installed solar electricity capacity with 2000 year bin
+  type: secondary
+  sector: electricity
+  output: [electr, secondary]
+
 solar_res_hist_2005:
   name: solar_res_hist_2005
   description: Currently installed solar electricity capacity with 2005 year bin
@@ -731,6 +738,13 @@ wind_res4:
   sector: electricity
   output: [electr, secondary]
 
+wind_res_hist_2000:
+  name: wind_res_hist_2000
+  description: Currently installed wind onshore capacity with 2005 year bin
+  type: secondary
+  sector: electricity
+  output: [electr, secondary]
+
 wind_res_hist_2005:
   name: wind_res_hist_2005
   description: Currently installed wind onshore capacity with 2005 year bin
@@ -802,6 +816,13 @@ wind_ref5:
   sector: electricity
   output: [electr, secondary]
 
+wind_ref_hist_2000:
+  name: wind_ref_hist_2000
+  description: Currently installed wind offshore capacity with 2000 year bin
+  type: secondary
+  sector: electricity
+  output: [electr, secondary]
+
 wind_ref_hist_2005:
   name: wind_ref_hist_2005
   description: Currently installed wind offshore capacity with 2005 year bin
diff --git a/message_ix_models/data/ue-shares/trp_gas0.05.xlsx b/message_ix_models/data/ue-shares/trp_gas0.05.xlsx
new file mode 100755
index 0000000000..124eef0a7c
--- /dev/null
+++ b/message_ix_models/data/ue-shares/trp_gas0.05.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20766b4dda378f9bc44879ff70b4f5fa9c4d6e0c0e467e157b0e8b00812f44f3
+size 17460
diff --git a/message_ix_models/data/ue-shares/trp_gas0.05_elec0.9.xlsx b/message_ix_models/data/ue-shares/trp_gas0.05_elec0.9.xlsx
new file mode 100755
index 0000000000..e2b987b8ff
--- /dev/null
+++ b/message_ix_models/data/ue-shares/trp_gas0.05_elec0.9.xlsx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44fd66b543a316fb3a837d4a70d64262a416074fd230dc85e5ecf4b62614f516
+size 17546
diff --git a/message_ix_models/data/water/set.yaml b/message_ix_models/data/water/set.yaml
index 18618e35f0..ff6773389c 100644
--- a/message_ix_models/data/water/set.yaml
+++ b/message_ix_models/data/water/set.yaml
@@ -50,6 +50,7 @@ cooling:
     - cooling__loil_cc
     - cooling__loil_ppl
     - cooling__nuc_hc
+    - cooling__nuc_lc
     - cooling__solar_th_ppl
     - cooling__csp_sm1_ppl
     - cooling__csp_sm3_ppl
@@ -94,105 +95,87 @@ cooling:
     - extract__saline_supply
     - bio_hpl__ot_fresh
     - bio_hpl__cl_fresh
-    - bio_hpl__cl_fresh
     - bio_hpl__ot_saline
     - bio_hpl__air
     - bio_istig__ot_fresh
     - bio_istig__cl_fresh
-    - bio_istig__cl_fresh
     - bio_istig__ot_saline
     - bio_istig__air
     - bio_istig_ccs__ot_fresh
     - bio_istig_ccs__cl_fresh
-    - bio_istig_ccs__cl_fresh
     - bio_istig_ccs__ot_saline
     - bio_istig_ccs__air
     - bio_ppl__ot_fresh
     - bio_ppl__cl_fresh
-    - bio_ppl__cl_fresh
     - bio_ppl__ot_saline
     - bio_ppl__air
     - coal_adv__ot_fresh
     - coal_adv__cl_fresh
-    - coal_adv__cl_fresh
     - coal_adv__ot_saline
     - coal_adv__air
     - coal_adv_ccs__ot_fresh
     - coal_adv_ccs__cl_fresh
-    - coal_adv_ccs__cl_fresh
     - coal_adv_ccs__ot_saline
     - coal_ppl__ot_fresh
     - coal_ppl__cl_fresh
-    - coal_ppl__cl_fresh
     - coal_ppl__ot_saline
     - coal_ppl__air
     - coal_ppl_u__ot_fresh
     - coal_ppl_u__cl_fresh
-    - coal_ppl_u__cl_fresh
     - coal_ppl_u__ot_saline
     - coal_ppl_u__air
     - foil_hpl__ot_fresh
     - foil_hpl__cl_fresh
-    - foil_hpl__cl_fresh
     - foil_hpl__ot_saline
     - foil_hpl__air
     - foil_ppl__ot_fresh
     - foil_ppl__cl_fresh
-    - foil_ppl__cl_fresh
     - foil_ppl__ot_saline
     - foil_ppl__air
     - gas_cc__ot_fresh
     - gas_cc__cl_fresh
-    - gas_cc__cl_fresh
     - gas_cc__ot_saline
     - gas_cc__air
     - gas_cc_ccs__ot_fresh
     - gas_cc_ccs__cl_fresh
-    - gas_cc_ccs__cl_fresh
     - gas_cc_ccs__ot_saline
     - gas_hpl__ot_fresh
     - gas_hpl__cl_fresh
-    - gas_hpl__cl_fresh
     - gas_hpl__ot_saline
     - gas_hpl__air
     - gas_ppl__ot_fresh
     - gas_ppl__cl_fresh
-    - gas_ppl__cl_fresh
     - gas_ppl__ot_saline
     - gas_ppl__air
     - geo_hpl__ot_fresh
     - geo_hpl__cl_fresh
-    - geo_hpl__cl_fresh
     - geo_hpl__ot_saline
     - geo_hpl__air
     - geo_ppl__ot_fresh
     - geo_ppl__cl_fresh
-    - geo_ppl__cl_fresh
     - geo_ppl__ot_saline
     - geo_ppl__air
     - igcc__ot_fresh
     - igcc__cl_fresh
-    - igcc__cl_fresh
     - igcc__ot_saline
     - igcc__air
     - igcc_ccs__ot_fresh
     - igcc_ccs__cl_fresh
-    - igcc_ccs__cl_fresh
     - igcc_ccs__ot_saline
     - loil_cc__ot_fresh
     - loil_cc__cl_fresh
-    - loil_cc__cl_fresh
     - loil_cc__ot_saline
     - loil_cc__air
     - loil_ppl__ot_fresh
     - loil_ppl__cl_fresh
-    - loil_ppl__cl_fresh
     - loil_ppl__ot_saline
     - loil_ppl__air
     - nuc_hc__ot_fresh
     - nuc_hc__cl_fresh
-    - nuc_hc__cl_fresh
     - nuc_hc__ot_saline
+    - nuc_lc__ot_fresh
+    - nuc_lc__cl_fresh
+    - nuc_lc__ot_saline
     - solar_th_ppl__ot_fresh
     - solar_th_ppl__cl_fresh
     - solar_th_ppl__ot_saline
@@ -363,6 +346,10 @@ cooling:
     - nuc_hc__cl_fresh
     - nuc_hc__ot_saline
     - nuc_hc__air
+    - nuc_lc__ot_fresh
+    - nuc_lc__cl_fresh
+    - nuc_lc__ot_saline
+    - nuc_lc__air
     - solar_th_ppl__ot_fresh
     - solar_th_ppl__cl_fresh
     - solar_th_ppl__ot_saline
diff --git a/message_ix_models/model/config.py b/message_ix_models/model/config.py
index 7e743dfe46..fd246084d3 100644
--- a/message_ix_models/model/config.py
+++ b/message_ix_models/model/config.py
@@ -13,18 +13,18 @@ class Config(ConfigHelper):
     .. code-block:: python
 
        c = Context()
-       c.regions = "R14"
+       c.regions = "R12"
 
     …however, it is best to access them explicitly as:
 
     .. code-block:: python
 
-       c.model.regions = "R14"
+       c.model.regions = "R12"
     """
 
     #: The 'node' codelist (regional aggregation) to use. Must be one of the lists of
     #: nodes described at :doc:`/pkg-data/node`.
-    regions: str = "R14"
+    regions: str = "R12"
 
     #: The 'relations' codelist to use. Must be one of the lists of relations described
     #: at :doc:`/pkg-data/relation`.
diff --git a/message_ix_models/model/material/build.py b/message_ix_models/model/material/build.py
index 8747a9e507..c8df7eafef 100644
--- a/message_ix_models/model/material/build.py
+++ b/message_ix_models/model/material/build.py
@@ -3,7 +3,6 @@
 from typing import Any
 
 import message_ix
-import pandas as pd
 
 from message_ix_models import Context
 from message_ix_models.model.build import apply_spec
@@ -12,22 +11,29 @@
 from message_ix_models.model.material.data_cement import gen_data_cement
 from message_ix_models.model.material.data_generic import gen_data_generic
 from message_ix_models.model.material.data_methanol import gen_data_methanol
+from message_ix_models.model.material.data_other_industry import (
+    gen_other_ind_demands,
+    get_hist_act,
+    modify_demand_and_hist_activity,
+)
 from message_ix_models.model.material.data_petro import gen_data_petro_chemicals
-from message_ix_models.model.material.data_power_sector import gen_data_power_sector
 from message_ix_models.model.material.data_steel import gen_data_steel
 from message_ix_models.model.material.data_util import (
-    add_ccs_technologies,
     add_cement_bounds_2020,
-    add_coal_lowerbound_2020,
-    add_elec_i_ini_act,
-    add_elec_lowerbound_2020,
+    add_cement_ccs_co2_tr_relation,
     add_emission_accounting,
-    add_new_ind_hist_act,
-    modify_baseyear_bounds,
-    modify_demand_and_hist_activity,
-    modify_industry_demand,
+    add_water_par_data,
+    calibrate_for_SSPs,
+)
+from message_ix_models.model.material.share_constraints import (
+    add_industry_coal_shr_constraint,
+    get_ssp_low_temp_shr_up,
+)
+from message_ix_models.model.material.util import (
+    get_ssp_from_context,
+    path_fallback,
+    read_config,
 )
-from message_ix_models.model.material.util import path_fallback, read_config
 from message_ix_models.model.structure import generate_set_elements, get_region_codes
 from message_ix_models.util import (
     add_par_data,
@@ -47,14 +53,14 @@
 log = logging.getLogger(__name__)
 
 DATA_FUNCTIONS = [
+    gen_data_aluminum,
     gen_data_methanol,
     gen_all_NH3_fert,
     gen_data_generic,
     gen_data_steel,
     gen_data_cement,
     gen_data_petro_chemicals,
-    gen_data_power_sector,
-    gen_data_aluminum,
+    # gen_data_power_sector,
 ]
 
 # add as needed/implemented
@@ -72,7 +78,6 @@
 )
 
 
-# Try to handle multiple data input functions from different materials
 def add_data(scenario: message_ix.Scenario, dry_run: bool = False) -> None:
     """Populate `scenario` with MESSAGEix-Materials data."""
     # Information about `scenario`
@@ -110,46 +115,46 @@ def build(
     spec = make_spec(node_suffix)
     apply_spec(scenario, spec, add_data, fast=True)  # dry_run=True
 
-    water_dict = pd.read_excel(
-        package_data_path("material", "other", "water_tec_pars.xlsx"),
-        sheet_name=None,
-    )
-    scenario.check_out()
-    for par in water_dict.keys():
-        scenario.add_par(par, water_dict[par])
-    scenario.commit("add missing water tecs")
+    add_water_par_data(scenario)
 
     # Adjust exogenous energy demand to incorporate the endogenized sectors
     # Adjust the historical activity of the useful level industry technologies
     # Coal calibration 2020
-    add_ccs_technologies(scenario)
     if old_calib:
         modify_demand_and_hist_activity(scenario)
     else:
-        modify_baseyear_bounds(scenario)
-        last_hist_year = scenario.par("historical_activity")["year_act"].max()
-        modify_industry_demand(scenario, last_hist_year, iea_data_path)
-        add_new_ind_hist_act(scenario, [last_hist_year], iea_data_path)
-        add_emission_accounting(scenario)
+        scenario.check_out()
+        for k, v in gen_other_ind_demands(get_ssp_from_context(context)).items():
+            scenario.add_par("demand", v)
+        scenario.commit("add new other industry demands")
+        # overwrite non-Materials industry technology calibration
+        calib_data = get_hist_act(
+            scenario, [1990, 1995, 2000, 2010, 2015, 2020], use_cached=True
+        )
+        scenario.check_out()
+        for k, v in calib_data.items():
+            scenario.add_par(k, v)
+        scenario.commit("new calibration of other industry")
 
-    if modify_existing_constraints:
-        calibrate_existing_constraints(scenario)
+    add_emission_accounting(scenario)
+    add_cement_ccs_co2_tr_relation(scenario)
 
+    if modify_existing_constraints:
+        calibrate_existing_constraints(context, scenario, iea_data_path)
     return scenario
 
 
-def calibrate_existing_constraints(scenario: message_ix.Scenario):
+def calibrate_existing_constraints(
+    context, scenario: message_ix.Scenario, iea_data_path: str
+):
     if "SSP_dev" not in scenario.model:
         engage_updates._correct_balance_td_efficiencies(scenario)
         engage_updates._correct_coal_ppl_u_efficiencies(scenario)
         engage_updates._correct_td_co2cc_emissions(scenario)
 
-    from message_ix_models import ScenarioInfo
-
     s_info = ScenarioInfo(scenario)
-    nodes = s_info.N
 
-    add_coal_lowerbound_2020(scenario)
+    # add_coal_lowerbound_2020(scenario)
     add_cement_bounds_2020(scenario)
 
     # Market penetration adjustments
@@ -165,19 +170,37 @@ def calibrate_existing_constraints(scenario: message_ix.Scenario):
     )
     calibrate_UE_share_constraints(scenario, s_info)
 
-    # Electricity calibration to avoid zero prices for CHN.
-    if "R12_CHN" in nodes:
-        add_elec_lowerbound_2020(scenario)
+    calibrate_for_SSPs(scenario)
 
-    df = scenario.par(
-        "bound_activity_lo",
-        filters={"node_loc": "R12_RCPA", "technology": "sp_el_I", "year_act": 2020},
-    )
-    scenario.check_out()
-    scenario.remove_par("bound_activity_lo", df)
-    scenario.commit("remove sp_el_I min bound on RCPA in 2020")
+    # add share constraint for coal_i based on 2020 IEA data
+    add_industry_coal_shr_constraint(scenario)
 
-    add_elec_i_ini_act(scenario)
+    # update low temp heat share constraint
+    scenario.check_out()
+    scenario.add_par(
+        "share_commodity_up",
+        get_ssp_low_temp_shr_up(ScenarioInfo(scenario), get_ssp_from_context(context)),
+    )
+    scenario.commit("adjust low temp heat share constraint")
+
+    # remove scrap constraint for aluminum recycling in base year
+    df_scrap_inp = scenario.par(
+        "input",
+        filters={
+            "technology": "secondary_aluminum",
+            "commodity": "aluminum",
+            "year_act": 2020,
+        },
+    )
+    with scenario.transact():
+        scenario.remove_par("input", df_scrap_inp)
+    df_out_scrap = scenario.par(
+        "output",
+        filters={"level": "new_scrap", "commodity": "aluminum", "year_act": 2020},
+    )
+    with scenario.transact():
+        scenario.remove_par("output", df_out_scrap)
+    return scenario
 
 
 def get_spec() -> Mapping[str, ScenarioInfo]:
diff --git a/message_ix_models/model/material/cli.py b/message_ix_models/model/material/cli.py
index 866888ea1e..4f2540c436 100644
--- a/message_ix_models/model/material/cli.py
+++ b/message_ix_models/model/material/cli.py
@@ -12,7 +12,7 @@
 
 import message_ix_models.tools.costs.projections
 from message_ix_models.model.material.data_util import (
-    add_macro_COVID,
+    add_macro_materials,
     gen_te_projections,
 )
 from message_ix_models.model.material.util import (
@@ -39,12 +39,6 @@ def cli(ssp):
 
 
 @cli.command("build")
-@click.option(
-    "--datafile",
-    default="Global_steel_cement_MESSAGE.xlsx",
-    metavar="INPUT",
-    help="File name for external data input",
-)
 @click.option(
     "--iea_data_path",
     default="P:ene.model\\IEA_database\\Florian\\",
@@ -63,7 +57,7 @@ def cli(ssp):
 @common_params("nodes")
 @click.pass_obj
 def build_scen(
-    context, datafile, iea_data_path, tag, mode, scenario_name, old_calib, update_costs
+    context, iea_data_path, tag, mode, scenario_name, old_calib, update_costs
 ):
     """Build a scenario.
 
@@ -99,9 +93,6 @@ def build_scen(
         if type(output_scenario_name).__name__ == "NoneType":
             output_scenario_name = context.scenario_info["scenario"]
 
-        # context.metadata_path = context.metadata_path / "data"
-        context.datafile = datafile
-
         if context.scenario_info["model"] != "CD_Links_SSP2":
             log.warning("WARNING: this code is not tested with this base scenario!")
 
@@ -185,11 +176,21 @@ def build_scen(
 
     if update_costs:
         log.info(f"Updating costs with {message_ix_models.tools.costs.projections}")
-        inv, fix = gen_te_projections(scenario, context["ssp"])
+        inv, fix = gen_te_projections(scenario, context["ssp"], method="gdp")
         scenario.check_out()
         scenario.add_par("fix_cost", fix)
         scenario.add_par("inv_cost", inv)
         scenario.commit(f"update cost assumption to: {update_costs}")
+        inv, fix = gen_te_projections(scenario, "SSP2", "gdp", module="energy")
+        scenario.check_out()
+        scenario.add_par(
+            "fix_cost",
+            fix[
+                (fix["technology"].str.endswith("_i"))
+                | (fix["technology"].str.endswith("_I"))
+            ],
+        )
+        scenario.commit(f"update cost assumption to: {update_costs}")
 
 
 def validate_macrofile_path(ctx, param, value):
@@ -256,7 +257,7 @@ def solve_scen(context, add_calibration, add_macro, macro_file, shift_model_year
         # After solving, add macro calibration
         log.info("Scenario solved, now adding MACRO calibration")
         # f"SSP_dev_{context['ssp']}-R12-5y_macro_data_v0.12_mat.xlsx"
-        scenario = add_macro_COVID(scenario, macro_file)
+        scenario = add_macro_materials(scenario, macro_file)
         log.info("Scenario successfully calibrated.")
 
     if add_macro:
@@ -308,7 +309,7 @@ def run_reporting(context, remove_ts, profile):
             pr = cProfile.Profile()
             pr.enable()
             log.info("Reporting material-specific variables")
-            report(context, scenario)
+            report(scenario)
             log.info("Reporting standard variables")
             reporting(
                 mp,
@@ -333,7 +334,7 @@ def exit():
         else:
             # Remove existing timeseries and add material timeseries
             log.info("Reporting material-specific variables")
-            report(context, scenario)
+            report(scenario)
             log.info("Reporting standard variables")
             reporting(
                 mp,
@@ -516,3 +517,27 @@ def _c(id, sector):
 
     scenario.add_macro(data, check_convergence=False)
     return
+
+
+@cli.command("calibrate")
+@click.pass_obj
+def calibrate(context, model_name, scenario_name, version):
+    """Calib a scenario.
+
+    Use the --model_name and --scenario_name option to specify the scenario to solve.
+    """
+    # Clone and set up
+    scenario = context.get_scenario()
+
+    # update cost_ref and price_ref with new solution
+    update_macro_calib_file(
+        scenario, f"SSP_dev_{context['ssp']}-R12-5y_macro_data_v0.12_mat.xlsx"
+    )
+
+    # After solving, add macro calibration
+    print("Scenario solved, now adding MACRO calibration")
+    scenario = add_macro_materials(
+        scenario, f"SSP_dev_{context['ssp']}-R12-5y_macro_data_v0.12_mat.xlsx"
+    )
+    scenario.set_as_default()
+    print("Scenario calibrated.")
diff --git a/message_ix_models/model/material/data_aluminum.py b/message_ix_models/model/material/data_aluminum.py
index 8d1535b32c..b274826ead 100644
--- a/message_ix_models/model/material/data_aluminum.py
+++ b/message_ix_models/model/material/data_aluminum.py
@@ -1,22 +1,31 @@
+import os
 from collections import defaultdict
 from collections.abc import Iterable
+from typing import Literal
 
 import message_ix
 import pandas as pd
 from message_ix import make_df
 
 from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.data_util import read_rel, read_timeseries
+from message_ix_models.model.material.material_demand import material_demand_calc
+from message_ix_models.model.material.util import (
+    add_R12_column,
+    combine_df_dictionaries,
+    get_pycountry_iso,
+    get_ssp_from_context,
+    invert_dictionary,
+    read_config,
+)
 from message_ix_models.util import (
     broadcast,
+    make_io,
     nodes_ex_world,
     package_data_path,
     same_node,
 )
 
-from .data_util import read_rel, read_timeseries
-from .material_demand import material_demand_calc
-from .util import combine_df_dictionaries, get_ssp_from_context, read_config
-
 
 def read_data_aluminum(
     scenario: message_ix.Scenario,
@@ -35,6 +44,8 @@ def read_data_aluminum(
     """
 
     # Ensure config is loaded, get the context
+    context = read_config()
+    ssp = get_ssp_from_context(context)
     s_info = ScenarioInfo(scenario)
 
     # Shorter access to sets configuration
@@ -46,16 +57,16 @@ def read_data_aluminum(
 
     # Read the file
     data_alu = pd.read_excel(
-        package_data_path("material", "aluminum", fname), sheet_name=sheet_n
+        package_data_path("material", "aluminum", ssp, fname), sheet_name=sheet_n
     )
 
     # Drop columns that don't contain useful information
     data_alu = data_alu.drop(["Source", "Description"], axis=1)
 
-    data_alu_rel = read_rel(scenario, "aluminum", "aluminum_techno_economic.xlsx")
+    data_alu_rel = read_rel(scenario, "aluminum", ssp, "aluminum_techno_economic.xlsx")
 
     data_aluminum_ts = read_timeseries(
-        scenario, "aluminum", "aluminum_techno_economic.xlsx"
+        scenario, "aluminum", ssp, "aluminum_techno_economic.xlsx"
     )
 
     # Unit conversion
@@ -78,7 +89,7 @@ def gen_data_alu_ts(data: pd.DataFrame, nodes: list) -> dict[str, pd.DataFrame]:
 
     Returns
     -------
-    pd.DataFrame
+    dict[str, pd.DataFrame]
         key-value pairs of parameter names and parameter data
     """
     tec_ts = set(data.technology)  # set of tecs in timeseries sheet
@@ -334,6 +345,8 @@ def gen_data_alu_const(
         t = t.id
         params = data.loc[(data["technology"] == t), "parameter"].unique()
         # Obtain the active and vintage years
+        if not len(params):
+            continue
         av = data.loc[(data["technology"] == t), "availability"].values[0]
         years = [year for year in years if year >= av]
         yv_ya = yv_ya.loc[yv_ya.year_vtg >= av]
@@ -453,20 +466,48 @@ def gen_data_aluminum(
         data_aluminum, config, global_region, modelyears, yv_ya, nodes
     )
 
-    parname = "demand"
-    demand_dict = {}
-    df = material_demand_calc.derive_demand("aluminum", scenario, ssp=ssp)
-    demand_dict[parname] = df
+    demand_dict = gen_demand(scenario, ssp)
 
     ts_dict = gen_data_alu_ts(data_aluminum_ts, nodes)
+    ts_dict.update(gen_hist_new_cap(s_info))
+    ts_dict = combine_df_dictionaries(
+        ts_dict, gen_smelting_hist_act(), gen_refining_hist_act()
+    )
+
     rel_dict = gen_data_alu_rel(data_aluminum_rel, modelyears)
-    trade_dict = gen_data_alu_trade(scenario)
 
+    trade_dict = gen_data_alu_trade(scenario)
+    alumina_trd = gen_alumina_trade_tecs(s_info)
+    growth_constr_dict = gen_2020_growth_constraints(s_info)
+    ref_heat_input = gen_refining_input(s_info)
     results_aluminum = combine_df_dictionaries(
-        const_dict, ts_dict, rel_dict, demand_dict, trade_dict
+        const_dict,
+        ts_dict,
+        rel_dict,
+        demand_dict,
+        trade_dict,
+        growth_constr_dict,
+        alumina_trd,
+        ref_heat_input
     )
+    reduced_pdict = {}
+    for k, v in results_aluminum.items():
+        if set(["year_act", "year_vtg"]).issubset(v.columns):
+            v = v[(v["year_act"] - v["year_vtg"]) <= 30]
+        reduced_pdict[k] = v.drop_duplicates().copy(deep=True)
+
+    return reduced_pdict
+
 
-    return results_aluminum
+def gen_demand(scenario, ssp):
+    parname = "demand"
+    demand_dict = {}
+    df_2025 = pd.read_csv(package_data_path("material", "aluminum", "demand_2025.csv"))
+    df = material_demand_calc.derive_demand("aluminum", scenario, ssp=ssp)
+    df = df[df["year"] != 2025]
+    df = pd.concat([df_2025, df])
+    demand_dict[parname] = df
+    return demand_dict
 
 
 def gen_mock_demand_aluminum(scenario: message_ix.Scenario) -> pd.DataFrame:
@@ -726,3 +767,536 @@ def gen_data_alu_trade(scenario: message_ix.Scenario) -> dict[str, pd.DataFrame]
     results["bound_activity_lo"].append(bound_act_net_export_chn_2025)
 
     return {par_name: pd.concat(dfs) for par_name, dfs in results.items()}
+
+
+def gen_hist_new_cap(s_info):
+    df_cap = pd.read_excel(
+        package_data_path("material", "aluminum", "smelters-with 2022 projection.xls"),
+        sheet_name="Sheet1",
+        skipfooter=23,
+    ).rename(columns={"Unnamed: 0": "Country", "Unnamed: 1": "Region"})
+    df_cap.Technology = df_cap.Technology.fillna("unknown")
+    df_cap = df_cap[~df_cap[1995].isna()]
+    df_cap.Country = df_cap["Country"].ffill()
+    df_cap["ISO"] = df_cap.Country.apply(
+        lambda c: get_pycountry_iso(
+            c,
+            {
+                "Surinam": "SUR",
+                "Trinidad": "TTO",
+                "Quatar": "QAT",
+                "Turkey": "TUR",
+                "UAE": "ARE",
+                "Gernamy": "DEU",
+                "Azerbaydzhan": "AZE",
+                "Russia": "RUS",
+                "Tadzhikistan": "TJK",
+                "UK": "GBR",
+                "Total": "World",
+                "Bosnia": "BIH",
+            },
+        )
+    )
+    df_cap = add_R12_column(
+        df_cap, file_path=package_data_path("node", "R12.yaml"), iso_column="ISO"
+    )
+
+    # generate historical_new_capacity for soderberg
+    df_cap_ss = df_cap[
+        (df_cap.Technology.str.contains("SS") & ~(df_cap.Technology.str.contains("PB")))
+        & ~(df_cap.Technology.str.contains("HAL"))
+        & ~(df_cap.Technology.str.contains("P"))
+    ]
+    df_cap_ss_r12 = df_cap_ss.groupby("R12").sum(numeric_only=True)
+    sample = df_cap_ss_r12[df_cap_ss_r12[df_cap_ss_r12.columns[-1]] != 0][
+        [i for i in range(1995, 2020, 5)] + [2019]
+    ]
+    hist_new_cap_ss = (
+        compute_differences(sample, 1995) / 10**6 / 5
+    )  # convert to Mt and divide by year intervall
+    hist_new_cap_ss = hist_new_cap_ss.rename(columns={2019: 2020})
+    hist_new_cap_ss = (
+        hist_new_cap_ss.reset_index()
+        .melt(id_vars="R12", var_name="year_vtg")
+        .assign(unit="Mt", technology="soderberg_aluminum")
+        .rename(columns={"R12": "node_loc"})
+    )
+
+    # generate historical_new_capacity for prebake
+    df_cap_pb = df_cap.loc[df_cap.index.difference(df_cap_ss.index)]
+    df_cap_pb_r12 = df_cap_pb.groupby("R12").sum(numeric_only=True)
+    sample = df_cap_pb_r12[[i for i in range(1995, 2020, 5)] + [2019]]
+    hist_new_cap_pb = compute_differences(sample, 1995) / 10**6 / 5
+    hist_new_cap_pb = hist_new_cap_pb.rename(columns={2019: 2020})
+    hist_new_cap_pb = (
+        hist_new_cap_pb.reset_index()
+        .melt(id_vars="R12", var_name="year_vtg")
+        .assign(unit="Mt", technology="prebake_aluminum")
+        .rename(columns={"R12": "node_loc"})
+    )
+    # only allow new soderberg capacity in FSU region
+    # (the only region where soderberg is still developed)
+    cols = {
+        "technology": "soderberg_aluminum",
+        "value": 0.05,
+        "unit": "GW",
+        "node_loc": [i for i in nodes_ex_world(s_info.N) if i not in ["R12_FSU"]],
+    }
+    df_soder_up = make_df("fixed_new_capacity", **cols).pipe(
+        broadcast, year_vtg=s_info.Y[1:]
+    )
+    return {
+        "historical_new_capacity": pd.concat([hist_new_cap_ss, hist_new_cap_pb]),
+        "fixed_new_capacity": df_soder_up,
+    }
+
+
+def compute_differences(df, ref_col):
+    # Initialize a DataFrame to store differences
+    differences = df[ref_col].to_frame()
+
+    # Start with the reference column
+    ref_values = df[ref_col].copy()
+
+    for col in df.columns:
+        if col == ref_col:
+            continue  # Skip the reference column
+
+        # Compute differences
+        diff = df[col] - ref_values
+        diff[diff <= 0] = 0  # Keep only positive differences
+
+        # Store differences
+        differences[col] = diff
+
+        # Update the reference column where the current column is greater
+        ref_values = ref_values.where(df[col] <= ref_values, df[col])
+
+    return differences
+
+
+def load_bgs_data(commodity: Literal["aluminum", "alumina"]):
+    bgs_data_path = package_data_path(
+        "material", "aluminum", "bgs_production", commodity
+    )
+
+    dfs = []
+
+    for fname in os.listdir(bgs_data_path):
+        if not fname.endswith(".xlsx"):
+            continue
+        # read and format BGS data
+        df_prim = pd.read_excel(bgs_data_path.joinpath(fname), skipfooter=9, skiprows=1)
+        year_cols = df_prim.columns[2::2]
+        df_prim = df_prim[
+            [df_prim.columns.tolist()[0]] + df_prim.columns[3::2].tolist()
+        ]
+        df_prim.columns = ["Country"] + [int(i) for i in year_cols]
+        df_prim["ISO"] = df_prim["Country"].apply(
+            lambda x: get_pycountry_iso(
+                x,
+                {
+                    "Turkey": "TUR",
+                    "Russia": "RUS",
+                    "Bosnia & Herzegovina": "BIH",
+                    "Ireland, Republic of": "IRL",
+                },
+            )
+        )
+        df_prim.drop("Country", axis=1, inplace=True)
+        for year in [i for i in df_prim.columns if isinstance(i, int)]:
+            df_prim[year] = pd.to_numeric(df_prim[year], errors="coerce")
+        dfs.append(df_prim)
+
+    df_prim = dfs[0].groupby("ISO").sum()
+    for _df in dfs[1:]:
+        df_prim = _df.groupby("ISO").sum().join(df_prim, how="outer")
+    df_prim = df_prim.dropna(how="all")
+    df_prim = df_prim[sorted(df_prim.columns)]
+
+    df_prim.reset_index(inplace=True)
+
+    # add R12 column
+    df_prim = add_R12_column(
+        df_prim.rename(columns={"ISO": "COUNTRY"}),
+        package_data_path("node", "R12.yaml"),
+    )
+    df_prim.rename(columns={"COUNTRY": "ISO"}, inplace=True)
+
+    return df_prim
+
+
+def gen_smelting_hist_act():
+    df_prim = load_bgs_data("aluminum")
+    df_prim_r12 = df_prim.groupby("R12").sum(numeric_only=True).div(10**6)
+
+    # Soderberg
+    df_ss_act = df_prim_r12[[2015, 2020]].copy(deep=True)
+    # calculate historical production with soderberg electrodes in the only 3 regions
+    #   that still have soderberg capacity (based on capacity data from genisim)
+    df_ss_act.loc["R12_WEU"] *= 0.025
+    df_ss_act.loc["R12_LAM"] *= 0.25
+    df_ss_act.loc["R12_FSU"] *= 0.65
+    df_ss_act = df_ss_act.loc[["R12_WEU", "R12_LAM", "R12_FSU"]]
+    df_ss_act = (
+        df_ss_act.reset_index()
+        .rename(columns={"R12": "node_loc"})
+        .melt(id_vars="node_loc", var_name="year_act")
+    )
+    df_ss_act = df_ss_act.assign(
+        technology="soderberg_aluminum", mode="M1", time="year", unit="Mt/yr"
+    )
+    df_ss_act = make_df("historical_activity", **df_ss_act)
+
+    # Prebake
+    df_pb_act = df_prim_r12[[2015, 2020]].copy(deep=True)
+    # deduct historical production with soderberg electrodes in the only 3 regions that
+    #   still have soderberg capacity (based on capacity data from genisim) to get
+    #   production with prebaked electrodes
+    df_pb_act.loc["R12_WEU"] *= 1 - 0.025
+    df_pb_act.loc["R12_LAM"] *= 1 - 0.25
+    df_pb_act.loc["R12_FSU"] *= 1 - 0.65
+    df_pb_act = (
+        df_pb_act.reset_index()
+        .rename(columns={"R12": "node_loc"})
+        .melt(id_vars="node_loc", var_name="year_act")
+    )
+    df_pb_act = df_pb_act.assign(
+        technology="prebake_aluminum", mode="M1", time="year", unit="Mt/yr"
+    )
+    df_pb_act = make_df("historical_activity", **df_pb_act)
+
+    par_dict = {}
+    par_dict["historical_activity"] = pd.concat(
+        [
+            df_pb_act[df_pb_act["year_act"] == 2015],
+            df_ss_act[df_ss_act["year_act"] == 2015],
+        ]
+    )
+    par_dict["bound_activity_up"] = pd.concat(
+        [
+            df_pb_act[df_pb_act["year_act"] == 2020],
+            df_ss_act[df_ss_act["year_act"] == 2020],
+        ]
+    )
+    par_dict["bound_activity_lo"] = par_dict["bound_activity_up"].copy(deep=True)
+    return par_dict
+
+
+def gen_refining_hist_act():
+    df_ref = load_bgs_data("alumina")
+    df_ref_r12 = df_ref.groupby("R12").sum(numeric_only=True).div(10**6)
+
+    df_ref_act = df_ref_r12[[2015, 2020]].copy(deep=True)
+    df_ref_act.loc["R12_LAM", 2020] -= 10
+    df_ref_act = (
+        df_ref_act.reset_index()
+        .rename(columns={"R12": "node_loc"})
+        .melt(id_vars="node_loc", var_name="year_act")
+    )
+    df_ref_act = df_ref_act.assign(
+        technology="refining_aluminum", mode="M1", time="year", unit="Mt/yr"
+    )
+    hist_act = make_df(
+        "historical_activity", **df_ref_act[df_ref_act["year_act"] == 2015]
+    )
+    bound_act = pd.concat(
+        [make_df("bound_activity_up", **df_ref_act[df_ref_act["year_act"] == 2020])]
+    )
+    par_dict = {
+        "historical_activity": hist_act,
+        "bound_activity_lo": bound_act,
+        "bound_activity_up": bound_act,
+    }
+    return par_dict
+
+
+def gen_alumina_trade_tecs(s_info):
+    modelyears = s_info.Y
+    yv_ya = s_info.yv_ya
+    nodes = nodes_ex_world(s_info.N)
+    global_region = [i for i in s_info.N if i.endswith("_GLB")][0]
+
+    common = {
+        "time": "year",
+        "time_origin": "year",
+        "time_dest": "year",
+        "mode": "M1",
+        "node_loc": nodes,
+    }
+    exp_dict = make_io(
+        src=("alumina", "secondary_material", "Mt"),
+        dest=("alumina", "export", "Mt"),
+        efficiency=1.0,
+        technology="export_alumina",
+        node_dest=global_region,
+        node_origin=nodes,
+        **common,
+    )
+    imp_dict = make_io(
+        src=("alumina", "import", "Mt"),
+        dest=("alumina", "secondary_material", "Mt"),
+        efficiency=1.0,
+        technology="import_alumina",
+        node_origin=global_region,
+        node_dest=nodes,
+        **common,
+    )
+
+    common = {
+        "time": "year",
+        "time_origin": "year",
+        "time_dest": "year",
+        "mode": "M1",
+        "node_loc": global_region,
+    }
+    trd_dict = make_io(
+        src=("alumina", "export", "Mt"),
+        dest=("alumina", "import", "Mt"),
+        efficiency=1.0,
+        technology="trade_alumina",
+        node_dest=global_region,
+        node_origin=global_region,
+        **common,
+    )
+
+    trade_dict = combine_df_dictionaries(imp_dict, trd_dict, exp_dict)
+    trade_dict = {
+        k: v.pipe(broadcast, year_act=modelyears).assign(year_vtg=lambda x: x.year_act)
+        for k, v in trade_dict.items()
+    }
+    return trade_dict
+
+
+def gen_2020_growth_constraints(s_info):
+    common = {
+        "technology": "soderberg_aluminum",
+        "time": "year",
+        "unit": "???",
+        "value": 0.5,
+        "year_act": 2020,
+    }
+    df = make_df("growth_activity_up", **common).pipe(
+        broadcast, node_loc=nodes_ex_world(s_info.N)
+    )
+    return {"growth_activity_up": df}
+
+
+def calibrate_2020_furnaces(s_info):
+    fname = "MetallurgicalAluminaRefiningFuelConsumption_1985-2023_File_8CountryOrRegion.csv"
+    iai_ref_map = {
+        "Africa & Asia (ex China)": [
+            "Azerbaijan",
+            "Azerbaijan",
+            "Azerbaijan",
+            "Guinea",
+            "India",
+            "Iran",
+            "Kazakhstan",
+            "Kazakhstan",
+            "Turkey",
+        ],
+        "North America": [
+            "Canada",
+            "United States of America",
+            "US Virgin Islands",
+            "US Virgin Islands",
+        ],
+        "South America": [
+            "Brazil",
+            "Guyana",
+            "Jamaica",
+            "Suriname",
+            "US Virgin Islands",
+            "Venezuela",
+        ],
+        "Oceania": ["Australia"],
+        "Europe": [
+            "Bosnia and Herzegovina",
+            "France",
+            "German Democratic Republic",
+            "Germany",
+            "Greece",
+            "Hungary",
+            "Hungary",
+            "Hungary",
+            "Ireland",
+            "Italy",
+            "Montenegro",
+            "Romania",
+            "Russian Federation",
+            "Russian Federation",
+            "Serbia and Montenegro",
+            "Serbia and Montenegro",
+            "Slovakia",
+            "Slovenia",
+            "Spain",
+            "Ukraine",
+            "Ukraine",
+            "United Kingdom",
+        ],
+        "China": ["China"],
+    }
+    iai_mis_dict = {
+        "Turkey": "TUR",
+        "Serbia and Montenegro": "SRB",
+        "US Virgin Islands": "VIR",
+        "German Democratic Republic": "DDR",
+    }
+    fuel_tec_map = {
+        "Coal": "furnace_coal_aluminum",
+        "Gas": "furnace_gas_aluminum",
+        "Oil": "furnace_foil_aluminum",
+        "Electricity": "furnace_elec_aluminum",
+    }
+    iai_ref_map = {k: v[0] for k, v in invert_dictionary(iai_ref_map).items()}
+    df_iai_cmap = pd.Series(iai_ref_map).to_frame().reset_index()
+
+    df_iai_cmap["ISO"] = df_iai_cmap["index"].apply(
+        lambda x: get_pycountry_iso(
+            x,
+            iai_mis_dict,
+        )
+    )
+    df_iai_cmap.drop(columns="index", inplace=True)
+
+    df_ref = load_bgs_data("alumina")
+    df_ref = df_ref.merge(df_iai_cmap, on="ISO", how="left")
+    df_ref["IAI"] = df_ref[0].fillna("Estimated Unreported")
+    df_ref = df_ref.drop(columns=0)
+
+    df_ref_en = pd.read_csv(package_data_path("material", "aluminum", fname), sep=";")
+    df_ref_en["Year"] = (
+        df_ref_en["Period from"].str.split("-", expand=True)[0].astype(int)
+    )
+    df_ref_en = df_ref_en.melt(
+        id_vars=["Year", "Row"], value_vars=df_ref_en.columns[4:-1], var_name="Region"
+    ).rename(columns={"Row": "Variable"})
+
+    df_ref_iai = df_ref.set_index(["IAI", "ISO"]).drop(columns="R12")
+    test = (
+        df_ref_en.rename(columns={"Region": "IAI"})
+        .set_index(["Year", "Variable", "IAI"])
+        .join((df_ref_iai / df_ref_iai.groupby("IAI").sum())[2019])
+    )
+    test["value"] = test["value"] * test[2019]
+    test = test.drop_duplicates().dropna().loc[2020].drop(2019, axis=1)
+
+    tec_map_df = pd.Series(fuel_tec_map).to_frame().reset_index()
+    tec_map_df.columns = ["Variable", "technology"]
+
+    test_r12 = add_R12_column(
+        test.reset_index(), package_data_path("node", "R12.yaml"), "ISO"
+    )
+    test_r12 = test_r12.groupby(["Variable", "R12"]).sum(numeric_only=True)
+    test_r12 = (
+        test_r12.loc[["Coal", "Gas", "Oil"]]
+        .div(10**6)
+        .mul(31.7)
+        .round(5)
+        .reset_index()
+        .merge(tec_map_df, on="Variable")
+        .drop("Variable", axis=1)
+        .rename(columns={"R12": "node_loc"})
+        .assign(unit="GWa", time="year", mode="high_temp", year_act=2020)
+    )
+    zero_furnaces = {
+        "unit": "GWa",
+        "time": "year",
+        "mode": "high_temp",
+        "technology": [
+            "furnace_biomass_aluminum",
+            "furnace_elec_aluminum",
+            "furnace_ethanol_aluminum",
+            "furnace_methanol_aluminum",
+            "furnace_h2_aluminum",
+        ],
+        "year_act": 2020,
+        "value": 0,
+    }
+    zbounds = make_df("bound_activity_up", **zero_furnaces).pipe(
+        broadcast, node_loc=nodes_ex_world(s_info.N)
+    )
+
+    return {"bound_activity_lo": test_r12, "bound_activity_up": zbounds}
+
+
+def gen_refining_input(s_info):
+    # read IAI refining statistics and format
+    path = package_data_path("material", "aluminum")
+    df_ref_int = pd.read_csv(path.joinpath("alu_ref_int_1985_2023.csv"), sep=";")
+    df_ref_int = df_ref_int.melt(
+        id_vars=["Period"], value_vars=df_ref_int.columns[1:], var_name="Region"
+    ).rename(columns={"Period": "Year"})
+    df_ref_int.value = pd.to_numeric(df_ref_int.value, errors="coerce")
+
+    # map from IAI regions to R12 regions based on country grouping listed in
+    # https://international-aluminium.org/statistics/metallurgical-alumina-refining-fuel-consumption/
+    # in the -Areas dropdown menu
+    iai_int_r12_map = {
+        "Africa & Asia (ex China)": ["R12_AFR", "R12_PAS", "R12_SAS", "R12_RCPA"],
+        "North America": ["R12_NAM"],
+        "Europe": ["R12_WEU", "R12_EEU", "R12_FSU"],
+        "Oceania": ["R12_PAO"],
+        "South America": ["R12_LAM"],
+        "China": ["R12_CHN"],
+    }
+    iai_int_r12_map = {k: v[0] for k, v in invert_dictionary(iai_int_r12_map).items()}
+
+    df_act = (
+        pd.Series(iai_int_r12_map)
+        .to_frame()
+        .reset_index()
+        .set_index(0)
+        .merge(df_ref_int, left_on=0, right_on="Region")
+        .drop(columns=["key_0"])
+        .drop_duplicates()
+    )
+
+    # select 2020 statistics as input for refing_aluminum technology
+    # format to "input" parameter dataframe
+    df_msg = (
+        df_act[df_act["Year"] == 2020]
+        .rename(columns={"index": "node_loc"})
+        .drop(columns="Region")
+    )
+    df_msg.value /= 3.6 * 8760
+    df_msg.value = df_msg.value.round(5)
+    df_msg = df_msg.assign(
+        technology="refining_aluminum",
+        mode="M1",
+        commodity="ht_heat",
+        level="useful_aluminum",
+        time="year",
+        time_origin="year",
+        unit="GWa",
+    )
+    df_msg = (
+        make_df("input", **df_msg)
+        .pipe(same_node)
+        .pipe(broadcast, year_act=s_info.yv_ya.year_act.unique())
+    )
+    df_msg["year_vtg"] = df_msg["year_act"]
+    return {"input": df_msg}
+
+
+if __name__ == "__main__":
+    # test = calibrate_2020_furnaces(s_info=["test"])
+    import ixmp
+    import message_ix
+
+    from message_ix_models.model.material.build import make_spec
+    # gen_smelting_hist_act()
+
+    # mp = ixmp.Platform("local2")
+    # scen = message_ix.Scenario(mp, "SSP2", "baseline")
+    mp = ixmp.Platform("ixmp_dev")
+    scen = message_ix.Scenario(
+        mp, "SSP_dev_SSP2_v1.0_Blv1.0", "baseline_prep_lu_bkp_solved"
+    )
+    s_info = ScenarioInfo(scen)
+    gen_refining_input(s_info)
+
+    spec = make_spec("R12")
+    gen_demand(scenario=scen, ssp="SSP5")
+    print()
diff --git a/message_ix_models/model/material/data_ammonia_new.py b/message_ix_models/model/material/data_ammonia_new.py
index 1be7156a9f..d4cfbcdceb 100644
--- a/message_ix_models/model/material/data_ammonia_new.py
+++ b/message_ix_models/model/material/data_ammonia_new.py
@@ -540,9 +540,14 @@ def gen_resid_demand_NH3(scenario: message_ix.Scenario) -> dict[str, pd.DataFram
     default_gdp_elasticity_2020, default_gdp_elasticity_2030 = iea_elasticity_map[
         ssp_mode_map[ssp]
     ]
+    df_2025 = pd.read_csv(
+        package_data_path("material", "ammonia", "demand_2025.csv")
+    )
     df_residual = material_demand_calc.gen_demand_petro(
         scenario, "NH3", default_gdp_elasticity_2020, default_gdp_elasticity_2030
     )
+    df_residual = df_residual[df_residual["year"] != 2025]
+    df_residual = pd.concat([df_2025, df_residual])
 
     return {"demand": df_residual}
 
diff --git a/message_ix_models/model/material/data_cement.py b/message_ix_models/model/material/data_cement.py
index ce9f3e565c..04914e5c1b 100644
--- a/message_ix_models/model/material/data_cement.py
+++ b/message_ix_models/model/material/data_cement.py
@@ -171,12 +171,16 @@ def gen_data_cement(
     ssp = get_ssp_from_context(context)
     # Information about scenario, e.g. node, year
     s_info = ScenarioInfo(scenario)
-    context.datafile = "Global_steel_cement_MESSAGE.xlsx"
 
     # Techno-economic assumptions
-    data_cement = read_sector_data(scenario, "cement", "Global_cement_MESSAGE.xlsx")
+    # TEMP: now add cement sector as well
+    data_cement = read_sector_data(
+        scenario, "cement", ssp, "Global_cement_MESSAGE.xlsx"
+    )
     # Special treatment for time-dependent Parameters
-    data_cement_ts = read_timeseries(scenario, "cement", "Global_cement_MESSAGE.xlsx")
+    data_cement_ts = read_timeseries(
+        scenario, "cement", ssp, "Global_cement_MESSAGE.xlsx"
+    )
     tec_ts = set(data_cement_ts.technology)  # set of tecs with var_cost
 
     # List of data frames, to be concatenated together at end
@@ -352,7 +356,12 @@ def gen_data_cement(
 
     # Create external demand param
     parname = "demand"
+    df_2025 = pd.read_csv(
+        package_data_path("material", "cement", "demand_2025.csv")
+    )
     df_demand = material_demand_calc.derive_demand("cement", scenario, ssp=ssp)
+    df_demand = df_demand[df_demand["year"] != 2025]
+    df_demand = pd.concat([df_2025, df_demand])
     results[parname].append(df_demand)
 
     # Add CCS as addon
@@ -380,13 +389,21 @@ def gen_data_cement(
                 df_demand=df_demand.copy(deep=True),
                 technology="clinker_dry_ccs_cement",
                 material="cement",
+                ssp = ssp
             ),
             calculate_ini_new_cap(
                 df_demand=df_demand.copy(deep=True),
                 technology="clinker_wet_ccs_cement",
                 material="cement",
+                ssp = ssp
             ),
         ]
     )
 
-    return results
+    reduced_pdict = {}
+    for k,v in results.items():
+        if set(["year_act", "year_vtg"]).issubset(v.columns):
+            v = v[(v["year_act"] - v["year_vtg"]) <= 25]
+        reduced_pdict[k] = v.drop_duplicates().copy(deep=True)
+
+    return reduced_pdict
diff --git a/message_ix_models/model/material/data_generic.py b/message_ix_models/model/material/data_generic.py
index 74a29d6780..cb5f64e6f6 100644
--- a/message_ix_models/model/material/data_generic.py
+++ b/message_ix_models/model/material/data_generic.py
@@ -1,26 +1,26 @@
 from collections import defaultdict
 
+import message_ix
 import pandas as pd
 from message_ix import Scenario, make_df
 
-import message_ix_models.util
 from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.data_util import read_timeseries
+from message_ix_models.model.material.util import read_config
 from message_ix_models.util import (
     broadcast,
     nodes_ex_world,
+    package_data_path,
     same_node,
 )
 
-from .data_util import read_timeseries
-from .util import read_config
-
 
 def read_data_generic(scenario: Scenario) -> (pd.DataFrame, pd.DataFrame):
     """Read and clean data from :file:`generic_furnace_boiler_techno_economic.xlsx`."""
 
     # Read the file
     data_generic = pd.read_excel(
-        message_ix_models.util.package_data_path(
+        package_data_path(
             "material", "other", "generic_furnace_boiler_techno_economic.xlsx"
         ),
         sheet_name="generic",
@@ -30,7 +30,7 @@ def read_data_generic(scenario: Scenario) -> (pd.DataFrame, pd.DataFrame):
     # Drop columns that don't contain useful information
     data_generic = data_generic.drop(["Region", "Source", "Description"], axis=1)
     data_generic_ts = read_timeseries(
-        scenario, "other", "generic_furnace_boiler_techno_economic.xlsx"
+        scenario, "other", None, "generic_furnace_boiler_techno_economic.xlsx"
     )
 
     # Unit conversion
@@ -40,6 +40,50 @@ def read_data_generic(scenario: Scenario) -> (pd.DataFrame, pd.DataFrame):
     return data_generic, data_generic_ts
 
 
+def add_non_co2_emission_coefficients(scen, df_input, method="from_disk"):
+    if method == "from_disk":
+        df_emi = pd.read_csv(
+            package_data_path(
+                "material", "other", "industry_thermal_emi_coefficients.csv"
+            )
+        )
+    else:
+        df_emi = get_thermal_industry_emi_coefficients(scen)
+    df_input = df_input[df_input["year_act"].ge(scen.firstmodelyear)]
+    df_input = df_input.set_index(["node_loc", "year_act", "commodity", "technology"])
+    df_furnace_emi = calculate_furnace_non_co2_emi_coeff(df_input, df_emi)
+    return df_furnace_emi
+
+
+def add_ind_therm_link_relations(tecs, years, nodes):
+    col_val_dict = {
+        "relation": "IndThermDemLink",
+        "mode": ["high_temp", "low_temp"],
+        "unit": "???",
+        "value": 1,
+    }
+    df = (
+        make_df("relation_activity", **col_val_dict)
+        .pipe(broadcast, node_loc=nodes)
+        .pipe(broadcast, year_rel=years)
+        .pipe(same_node)
+        .pipe(broadcast, technology=tecs)
+    )
+    df["year_act"] = df["year_rel"]
+    df = df[
+        ~(
+            (
+                (df["technology"].str.startswith("solar"))
+                | (df["technology"].str.startswith("fc_h2_"))
+                | (df["technology"].str.startswith("furnace_h2"))
+                | (df["technology"].str.startswith("dheat"))
+            )
+            & (df["year_act"].isin([2020, 2025]))
+        )
+    ]
+    return df
+
+
 def gen_data_generic(
     scenario: Scenario, dry_run: bool = False
 ) -> dict[str, pd.DataFrame]:
@@ -249,6 +293,139 @@ def gen_data_generic(
 
             results[p].append(df)
 
+    results["relation_activity"].append(
+        add_non_co2_emission_coefficients(scenario, pd.concat(results["input"]))
+    )
+    results["relation_activity"].append(
+        add_ind_therm_link_relations(
+            [t.id for t in config["technology"]["add"]],
+            yv_ya["year_act"].unique(),
+            nodes,
+        )
+    )
     results = {par_name: pd.concat(dfs) for par_name, dfs in results.items()}
-
-    return results
+    reduced_pdict = {}
+    for k,v in results.items():
+        if {"year_act", "year_vtg"}.issubset(v.columns):
+            v = v[(v["year_act"] - v["year_vtg"]) <= 25]
+        reduced_pdict[k] = v.drop_duplicates().copy(deep=True)
+    return reduced_pdict
+
+
+def get_thermal_industry_emi_coefficients(scen: message_ix.Scenario) -> pd.DataFrame:
+    """
+    Pulls existing parametrization for non-CO2 emission
+    coefficients of given Scenario instance
+
+    Pulls MESSAGEix-GLOBIOM emission coefficients from "relation_activity"
+    and normalizes them to fuel inputs
+
+    Parameters
+    ----------
+    scen: message_ix.Scenario
+        Scenario instance to pull emission coefficients from
+    Returns
+    -------
+    pd.DataFrame
+    """
+    ind_th_tecs = ["biomass_i", "coal_i", "eth_i", "foil_i", "gas_i", "loil_i"]
+    relations = [
+        "BCA_Emission",
+        "CH4_Emission",
+        "CO_Emission",
+        "N2O_Emission",
+        "NH3_Emission",
+        "NOx_Emission",
+        "OCA_Emission",
+        "SO2_Emission",
+        "VOC_Emission",
+    ]
+    first_year = 2020
+    common_index = ["node_loc", "year_act", "technology"]
+    df_rel = scen.par(
+        "relation_activity", filters={"technology": ind_th_tecs, "relation": relations}
+    )
+    df_rel = df_rel[df_rel["year_act"].ge(first_year)]
+    df_rel = df_rel.set_index(common_index)
+
+    df_in = scen.par("input", filters={"technology": ind_th_tecs})
+    df_in = df_in[df_in["year_act"].ge(first_year)]
+    df_in = df_in.set_index(common_index)
+
+    df_joined = df_rel.join(
+        df_in[["value", "commodity"]], rsuffix="_in"
+    ).drop_duplicates()
+    df_joined["emi_factor"] = df_joined["value"] / df_joined["value_in"]
+    return df_joined
+
+
+def get_furnace_inputs(scen: message_ix.Scenario, first_year: int) -> pd.DataFrame:
+    """Return existing parametrization for input coefficients of given Scenario instance
+     and returns only for technologies with "furnace" in the name
+
+    Parameters
+    ----------
+    scen: message_ix.Scenario
+        Scenario instance to pull input parameter from
+    first_year: int
+        Earliest year for which furnace input parameter should be retrieved
+
+    Returns
+    -------
+    pd.DataFrame
+        a dataframe of furnace input paramter with index
+        ["node_loc", "year_act", "commodity", "technology"]
+    """
+    furn_tecs = "furnace"
+    df_furn = scen.par("input")
+    df_furn = df_furn[
+        (df_furn["technology"].str.contains(furn_tecs))
+        & (df_furn["year_act"].ge(first_year))
+    ]
+    df_furn = df_furn.set_index(["node_loc", "year_act", "commodity", "technology"])
+    return df_furn
+
+
+def calculate_furnace_non_co2_emi_coeff(
+    df_furn: pd.DataFrame, df_emi: pd.DataFrame
+) -> pd.DataFrame:
+    """
+    Joins input and emission coefficient DataFrames on
+    region, year and commodity to derive correct
+    non-CO2 emission factor parameter for industry furnaces
+
+    Parameters
+    ----------
+    df_furn: pd.DataFrame
+        DataFrame containing input parametrization of furnaces
+    df_emi: pd.DataFrame
+        DataFrame containing input normalized non-CO2 emission coefficients
+
+    Returns
+    -------
+    pd.DataFrame
+    """
+    df_final = (
+        pd.DataFrame(
+            df_emi.reset_index().set_index(["node_loc", "year_act", "commodity"])[
+                ["relation", "emi_factor"]
+            ]
+        )
+        .join(
+            df_furn["value"]
+            .reset_index()
+            .drop_duplicates()
+            .set_index(["node_loc", "year_act", "commodity", "technology"])
+        )
+        .reset_index()
+        .drop_duplicates()
+    )
+    df_final["value"] = df_final["value"] * df_final["emi_factor"]
+    df_final_new = (
+        make_df("relation_activity", **df_final)
+        .pipe(same_node)
+        .pipe(broadcast, mode=["high_temp", "low_temp"])
+    )
+    df_final_new["year_rel"] = df_final_new["year_act"]
+    df_final_new["unit"] = "???"
+    return df_final_new
diff --git a/message_ix_models/model/material/data_methanol.py b/message_ix_models/model/material/data_methanol.py
index 1e573917b2..a59af8c470 100644
--- a/message_ix_models/model/material/data_methanol.py
+++ b/message_ix_models/model/material/data_methanol.py
@@ -1,14 +1,23 @@
 from ast import literal_eval
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Dict
 
 import pandas as pd
 import yaml
 from message_ix import make_df
 
-import message_ix_models.util
+from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.data_util import (
+    gen_chemicals_co2_ind_factors,
+    gen_plastics_emission_factors,
+)
 from message_ix_models.model.material.material_demand import material_demand_calc
-from message_ix_models.model.material.util import read_config
-from message_ix_models.util import broadcast, same_node
+from message_ix_models.model.material.util import combine_df_dictionaries, read_config
+from message_ix_models.util import (
+    broadcast,
+    nodes_ex_world,
+    package_data_path,
+    same_node,
+)
 
 if TYPE_CHECKING:
     from message_ix import Scenario
@@ -40,7 +49,7 @@ def gen_data_methanol(scenario: "Scenario") -> dict[str, pd.DataFrame]:
     """
     context = read_config()
     df_pars = pd.read_excel(
-        message_ix_models.util.package_data_path(
+        package_data_path(
             "material", "methanol", "methanol_sensitivity_pars.xlsx"
         ),
         sheet_name="Sheet1",
@@ -49,7 +58,7 @@ def gen_data_methanol(scenario: "Scenario") -> dict[str, pd.DataFrame]:
     pars = df_pars.set_index("par").to_dict()["value"]
     if pars["mtbe_scenario"] == "phase-out":
         pars_dict = pd.read_excel(
-            message_ix_models.util.package_data_path(
+            package_data_path(
                 "material", "methanol", "methanol_techno_economic.xlsx"
             ),
             sheet_name=None,
@@ -57,7 +66,7 @@ def gen_data_methanol(scenario: "Scenario") -> dict[str, pd.DataFrame]:
         )
     else:
         pars_dict = pd.read_excel(
-            message_ix_models.util.package_data_path(
+            package_data_path(
                 "material", "methanol", "methanol_techno_economic_high_demand.xlsx"
             ),
             sheet_name=None,
@@ -68,7 +77,7 @@ def gen_data_methanol(scenario: "Scenario") -> dict[str, pd.DataFrame]:
         pars_dict[i] = unpivot_input_data(pars_dict[i], i)
     # TODO: only temporary hack to ensure SSP_dev compatibility
     if "SSP_dev" in scenario.model:
-        file_path = message_ix_models.util.package_data_path(
+        file_path = package_data_path(
             "material", "methanol", "missing_rels.yaml"
         )
 
@@ -80,13 +89,43 @@ def gen_data_methanol(scenario: "Scenario") -> dict[str, pd.DataFrame]:
     default_gdp_elasticity_2020, default_gdp_elasticity_2030 = iea_elasticity_map[
         ssp_mode_map[context["ssp"]]
     ]
-    df_final = material_demand_calc.gen_demand_petro(
+    df_2025 = pd.read_csv(
+        package_data_path("material", "methanol", "demand_2025.csv")
+    )
+    df_demand = material_demand_calc.gen_demand_petro(
         scenario, "methanol", default_gdp_elasticity_2020, default_gdp_elasticity_2030
     )
-    df_final["value"] = df_final["value"].apply(
+    df_demand["value"] = df_demand["value"].apply(
         lambda x: x * pars["methanol_resid_demand_share"]
     )
-    pars_dict["demand"] = df_final
+    df_demand = df_demand[df_demand["year"] != 2025]
+    df_demand = pd.concat([df_2025, df_demand])
+    pars_dict["demand"] = df_demand
+
+    s_info = ScenarioInfo(scenario)
+    downstream_tec_pars = gen_meth_fs_downstream(s_info)
+    meth_downstream_emi_top_down = gen_plastics_emission_factors(s_info, "methanol")
+    meth_downstream_emi_bot_up = gen_chemicals_co2_ind_factors(s_info, "methanol")
+
+    pars_dict = combine_df_dictionaries(
+        pars_dict,
+        downstream_tec_pars,
+        meth_downstream_emi_top_down,
+        meth_downstream_emi_bot_up,
+    )
+
+    scen_rel_set = scenario.set("relation")
+    for par in ["activity", "upper", "lower"]:
+        df_rel = pars_dict[f"relation_{par}"]
+        df_rel = df_rel[df_rel["relation"].isin(scen_rel_set.values)]
+        exc_rels = [
+            i for i in df_rel["relation"].unique() if i not in scen_rel_set.values
+        ]
+        print(
+            f"following relations are dropped from relation_{par} of methanol input "
+            f"data because they are not compatible with the scenario: {exc_rels}"
+        )
+        pars_dict[f"relation_{par}"] = df_rel
 
     return pars_dict
 
@@ -197,7 +236,7 @@ def broadcast_years(
     return df_bc_node
 
 
-def unpivot_input_data(df: pd.DataFrame, par_name: str) -> pd.DataFrame:
+def unpivot_input_data(df: pd.DataFrame, par_name: str):
     """
     Unpivot data that is already contains columns for respective MESSAGEix parameter
     Parameters
@@ -257,3 +296,47 @@ def unpivot_input_data(df: pd.DataFrame, par_name: str) -> pd.DataFrame:
             ].index
         )
     return make_df(par_name, **df_final_full)
+
+
+def gen_meth_fs_downstream(s_info: "ScenarioInfo") -> dict[str, pd.DataFrame]:
+    # input parameter
+    yv_ya = s_info.yv_ya
+    year_all = yv_ya["year_act"].unique()
+
+    tec_name = "meth_ind_fs"
+    cols = {
+        "technology": tec_name,
+        "commodity": "methanol",
+        "mode": "M1",
+        "level": "final_material",
+        "time": "year",
+        "time_origin": "year",
+        "value": 1,
+        "unit": "Mt",
+    }
+    df_in = (
+        make_df("input", **cols)
+        .pipe(broadcast, node_loc=nodes_ex_world(s_info.N), year_act=year_all)
+        .pipe(same_node)
+    )
+    df_in["year_vtg"] = df_in["year_act"]
+
+    # output parameter
+    tec_name = "meth_ind_fs"
+    cols = {
+        "technology": tec_name,
+        "commodity": "methanol",
+        "mode": "M1",
+        "level": "demand",
+        "time": "year",
+        "time_dest": "year",
+        "value": 1,
+        "unit": "Mt",
+    }
+    df_out = (
+        make_df("output", **cols)
+        .pipe(broadcast, node_loc=nodes_ex_world(s_info.N), year_act=year_all)
+        .pipe(same_node)
+    )
+    df_out["year_vtg"] = df_out["year_act"]
+    return dict(input=df_in, output=df_out)
diff --git a/message_ix_models/model/material/data_other_industry.py b/message_ix_models/model/material/data_other_industry.py
new file mode 100644
index 0000000000..9a2ca9a9a6
--- /dev/null
+++ b/message_ix_models/model/material/data_other_industry.py
@@ -0,0 +1,910 @@
+import os
+from typing import TYPE_CHECKING
+
+import pandas as pd
+from message_ix.util import make_df
+
+from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.data_util import (
+    map_iea_db_to_msg_regs,
+    read_iea_tec_map,
+)
+from message_ix_models.util import package_data_path
+
+if TYPE_CHECKING:
+    from message_ix import Scenario
+
+
+def modify_demand_and_hist_activity(scen: "Scenario") -> None:
+    """Take care of demand changes due to the introduction of material parents
+    Shed industrial energy demand properly.
+    Also need take care of remove dynamic constraints for certain energy carriers.
+    Adjust the historical activity of the related industry technologies
+    that provide output to different categories of industrial demand (e.g.
+    i_therm, i_spec, i_feed). The historical activity is reduced the same %
+    as the industrial demand is reduced.
+
+    Parameters
+    ----------
+    scen: .Scenario
+        scenario where industry demand should be reduced
+    """
+
+    # NOTE Temporarily modifying industrial energy demand
+    # From IEA database (dumped to an excel)
+
+    s_info = ScenarioInfo(scen)
+    fname = "MESSAGEix-Materials_final_energy_industry.xlsx"
+
+    if "R12_CHN" in s_info.N:
+        sheet_n = "R12"
+        region_type = "R12_"
+        region_name_CPA = "RCPA"
+        region_name_CHN = "CHN"
+    else:
+        sheet_n = "R11"
+        region_type = "R11_"
+        region_name_CPA = "CPA"
+        region_name_CHN = ""
+
+    df = pd.read_excel(
+        package_data_path("material", "other", fname), sheet_name=sheet_n, usecols="A:F"
+    )
+
+    # Filter the necessary variables
+    df = df[
+        (df["SECTOR"] == "feedstock (petrochemical industry)")
+        | (df["SECTOR"] == "feedstock (total)")
+        | (df["SECTOR"] == "industry (chemicals)")
+        | (df["SECTOR"] == "industry (iron and steel)")
+        | (df["SECTOR"] == "industry (non-ferrous metals)")
+        | (df["SECTOR"] == "industry (non-metallic minerals)")
+        | (df["SECTOR"] == "industry (total)")
+    ]
+    df = df[df["RYEAR"] == 2015]
+
+    # NOTE: Total cehmical industry energy: 27% thermal, 8% electricity, 65% feedstock
+    # SOURCE: IEA Sankey 2020: https://www.iea.org/sankey/#?c=World&s=Final%20consumption
+    # 67% of total chemicals energy is used for primary chemicals (ammonia,methnol,HVCs)
+    # SOURCE: https://www.iea.org/data-and-statistics/charts/primary-chemical-production-in-the-sustainable-development-scenario-2000-2030
+
+    # Retreive data for i_spec
+    # 67% of total chemcials electricity demand comes from primary chemicals (IEA)
+    # (Excludes petrochemicals as the share is negligable)
+    # Aluminum, cement and steel included.
+    # NOTE: Steel has high shares (previously it was not inlcuded in i_spec)
+
+    df_spec = df[
+        (df["FUEL"] == "electricity")
+        & (df["SECTOR"] != "industry (total)")
+        & (df["SECTOR"] != "feedstock (petrochemical industry)")
+        & (df["SECTOR"] != "feedstock (total)")
+    ]
+    df_spec_total = df[
+        (df["SECTOR"] == "industry (total)") & (df["FUEL"] == "electricity")
+    ]
+
+    df_spec_new = pd.DataFrame(
+        columns=["REGION", "SECTOR", "FUEL", "RYEAR", "UNIT_OUT", "RESULT"]
+    )
+    for r in df_spec["REGION"].unique():
+        df_spec_temp = df_spec.loc[df_spec["REGION"] == r]
+        df_spec_total_temp = df_spec_total.loc[df_spec_total["REGION"] == r]
+        df_spec_temp.loc[:, "i_spec"] = (
+            df_spec_temp.loc[:, "RESULT"]
+            / df_spec_total_temp.loc[:, "RESULT"].values[0]
+        )
+        df_spec_new = pd.concat([df_spec_temp, df_spec_new], ignore_index=True)
+
+    df_spec_new.drop(["FUEL", "RYEAR", "UNIT_OUT", "RESULT"], axis=1, inplace=True)
+    df_spec_new.loc[df_spec_new["SECTOR"] == "industry (chemicals)", "i_spec"] = (
+        df_spec_new.loc[df_spec_new["SECTOR"] == "industry (chemicals)", "i_spec"]
+        * 0.67
+    )
+
+    df_spec_new = df_spec_new.groupby(["REGION"]).sum().reset_index()
+
+    # Already set to zero: ammonia, methanol, HVCs cover most of the feedstock
+
+    df_feed = df[
+        (df["SECTOR"] == "feedstock (petrochemical industry)") & (df["FUEL"] == "total")
+    ]
+    # df_feed_total =
+    # df[(df["SECTOR"] == "feedstock (total)") & (df["FUEL"] == "total")]
+    df_feed_temp = pd.DataFrame(columns=["REGION", "i_feed"])
+    df_feed_new = pd.DataFrame(columns=["REGION", "i_feed"])
+
+    for r in df_feed["REGION"].unique():
+        i = 0
+        df_feed_temp.at[i, "REGION"] = r
+        df_feed_temp.at[i, "i_feed"] = 1
+        i = i + 1
+        df_feed_new = pd.concat([df_feed_temp, df_feed_new], ignore_index=True)
+
+    # Retreive data for i_therm
+    # 67% of chemical thermal energy chemicals comes from primary chemicals. (IEA)
+    # NOTE: Aluminum is excluded since refining process is not explicitly represented
+    # NOTE: CPA has a 3% share while it used to be 30% previosuly ??
+
+    df_therm = df[
+        (df["FUEL"] != "electricity")
+        & (df["FUEL"] != "total")
+        & (df["SECTOR"] != "industry (total)")
+        & (df["SECTOR"] != "feedstock (petrochemical industry)")
+        & (df["SECTOR"] != "feedstock (total)")
+        & (df["SECTOR"] != "industry (non-ferrous metals)")
+    ]
+    df_therm_total = df[
+        (df["SECTOR"] == "industry (total)")
+        & (df["FUEL"] != "total")
+        & (df["FUEL"] != "electricity")
+    ]
+    df_therm_total = (
+        df_therm_total.groupby(by="REGION").sum().drop(["RYEAR"], axis=1).reset_index()
+    )
+    df_therm = (
+        df_therm.groupby(by=["REGION", "SECTOR"])
+        .sum()
+        .drop(["RYEAR"], axis=1)
+        .reset_index()
+    )
+    df_therm_new = pd.DataFrame(
+        columns=["REGION", "SECTOR", "FUEL", "RYEAR", "UNIT_OUT", "RESULT"]
+    )
+
+    for r in df_therm["REGION"].unique():
+        df_therm_temp = df_therm.loc[df_therm["REGION"] == r]
+        df_therm_total_temp = df_therm_total.loc[df_therm_total["REGION"] == r]
+        df_therm_temp.loc[:, "i_therm"] = (
+            df_therm_temp.loc[:, "RESULT"]
+            / df_therm_total_temp.loc[:, "RESULT"].values[0]
+        )
+        df_therm_new = pd.concat([df_therm_temp, df_therm_new], ignore_index=True)
+        df_therm_new = df_therm_new.drop(["RESULT"], axis=1)
+
+    df_therm_new.drop(["FUEL", "RYEAR", "UNIT_OUT"], axis=1, inplace=True)
+    df_therm_new.loc[df_therm_new["SECTOR"] == "industry (chemicals)", "i_therm"] = (
+        df_therm_new.loc[df_therm_new["SECTOR"] == "industry (chemicals)", "i_therm"]
+        * 0.67
+    )
+
+    # Modify CPA based on https://www.iea.org/sankey/#?c=Japan&s=Final%20consumption.
+    # Since the value did not allign with the one in the IEA website.
+    index = (df_therm_new["SECTOR"] == "industry (iron and steel)") & (
+        (df_therm_new["REGION"] == region_name_CPA)
+        | (df_therm_new["REGION"] == region_name_CHN)
+    )
+
+    df_therm_new.loc[index, "i_therm"] = 0.2
+
+    df_therm_new = df_therm_new.groupby(["REGION"]).sum(numeric_only=True).reset_index()
+
+    # TODO: Useful technology efficiencies will also be included
+
+    # Add the modified demand and historical activity to the scenario
+
+    # Relted technologies that have outputs to useful industry level.
+    # Historical activity of theese will be adjusted
+    tec_therm = [
+        "biomass_i",
+        "coal_i",
+        "elec_i",
+        "eth_i",
+        "foil_i",
+        "gas_i",
+        "h2_i",
+        "heat_i",
+        "hp_el_i",
+        "hp_gas_i",
+        "loil_i",
+        "meth_i",
+        "solar_i",
+    ]
+    tec_fs = [
+        "coal_fs",
+        "ethanol_fs",
+        "foil_fs",
+        "gas_fs",
+        "loil_fs",
+        "methanol_fs",
+    ]
+    tec_sp = ["sp_coal_I", "sp_el_I", "sp_eth_I", "sp_liq_I", "sp_meth_I", "h2_fc_I"]
+
+    thermal_df_hist = scen.par("historical_activity", filters={"technology": tec_therm})
+    spec_df_hist = scen.par("historical_activity", filters={"technology": tec_sp})
+    feed_df_hist = scen.par("historical_activity", filters={"technology": tec_fs})
+    useful_thermal = scen.par("demand", filters={"commodity": "i_therm"})
+    useful_spec = scen.par("demand", filters={"commodity": "i_spec"})
+    useful_feed = scen.par("demand", filters={"commodity": "i_feed"})
+
+    for r in df_therm_new["REGION"]:
+        r_MESSAGE = region_type + r
+
+        useful_thermal.loc[useful_thermal["node"] == r_MESSAGE, "value"] = (
+            useful_thermal.loc[useful_thermal["node"] == r_MESSAGE, "value"]
+            * (1 - df_therm_new.loc[df_therm_new["REGION"] == r, "i_therm"].values[0])
+        )
+
+        thermal_df_hist.loc[thermal_df_hist["node_loc"] == r_MESSAGE, "value"] = (
+            thermal_df_hist.loc[thermal_df_hist["node_loc"] == r_MESSAGE, "value"]
+            * (1 - df_therm_new.loc[df_therm_new["REGION"] == r, "i_therm"].values[0])
+        )
+
+    for r in df_spec_new["REGION"]:
+        r_MESSAGE = region_type + r
+
+        useful_spec.loc[useful_spec["node"] == r_MESSAGE, "value"] = useful_spec.loc[
+            useful_spec["node"] == r_MESSAGE, "value"
+        ] * (1 - df_spec_new.loc[df_spec_new["REGION"] == r, "i_spec"].values[0])
+
+        spec_df_hist.loc[spec_df_hist["node_loc"] == r_MESSAGE, "value"] = (
+            spec_df_hist.loc[spec_df_hist["node_loc"] == r_MESSAGE, "value"]
+            * (1 - df_spec_new.loc[df_spec_new["REGION"] == r, "i_spec"].values[0])
+        )
+
+    for r in df_feed_new["REGION"]:
+        r_MESSAGE = region_type + r
+
+        useful_feed.loc[useful_feed["node"] == r_MESSAGE, "value"] = useful_feed.loc[
+            useful_feed["node"] == r_MESSAGE, "value"
+        ] * (1 - df_feed_new.loc[df_feed_new["REGION"] == r, "i_feed"].values[0])
+
+        feed_df_hist.loc[feed_df_hist["node_loc"] == r_MESSAGE, "value"] = (
+            feed_df_hist.loc[feed_df_hist["node_loc"] == r_MESSAGE, "value"]
+            * (1 - df_feed_new.loc[df_feed_new["REGION"] == r, "i_feed"].values[0])
+        )
+
+    scen.check_out()
+    scen.add_par("demand", useful_thermal)
+    scen.add_par("demand", useful_spec)
+    scen.add_par("demand", useful_feed)
+    scen.commit("Demand values adjusted")
+
+    scen.check_out()
+    scen.add_par("historical_activity", thermal_df_hist)
+    scen.add_par("historical_activity", spec_df_hist)
+    scen.add_par("historical_activity", feed_df_hist)
+    scen.commit(
+        comment="historical activity for useful level industry \
+    technologies adjusted"
+    )
+
+    # For aluminum there is no significant deduction required
+    # (refining process not included and thermal energy required from
+    # recycling is not a significant share.)
+    # For petro: based on 13.1 GJ/tonne of ethylene and the demand in the model
+
+    # df = scen.par('demand', filters={'commodity':'i_therm'})
+    # df.value = df.value * 0.38 #(30% steel, 25% cement, 7% petro)
+    #
+    # scen.check_out()
+    # scen.add_par('demand', df)
+    # scen.commit(comment = 'modify i_therm demand')
+
+    # Adjust the i_spec.
+    # Electricity usage seems negligable in the production of HVCs.
+    # Aluminum: based on IAI China data 20%.
+
+    # df = scen.par('demand', filters={'commodity':'i_spec'})
+    # df.value = df.value * 0.80  #(20% aluminum)
+    #
+    # scen.check_out()
+    # scen.add_par('demand', df)
+    # scen.commit(comment = 'modify i_spec demand')
+
+    # Adjust the i_feedstock.
+    # 45 GJ/tonne of ethylene or propylene or BTX
+    # 2020 demand of one of these: 35.7 Mt
+    # Makes up around 30% of total feedstock demand.
+
+    # df = scen.par('demand', filters={'commodity':'i_feed'})
+    # df.value = df.value * 0.7  #(30% HVCs)
+    #
+    # scen.check_out()
+    # scen.add_par('demand', df)
+    # scen.commit(comment = 'modify i_feed demand')
+
+    # NOTE Aggregate industrial coal demand need to adjust to
+    #      the sudden intro of steel setor in the first model year
+
+    t_i = ["coal_i", "elec_i", "gas_i", "heat_i", "loil_i", "solar_i"]
+
+    for t in t_i:
+        df = scen.par("growth_activity_lo", filters={"technology": t, "year_act": 2020})
+
+        scen.check_out()
+        scen.remove_par("growth_activity_lo", df)
+        scen.commit(comment="remove growth_lo constraints")
+
+    scen.check_out()
+    for substr in ["up", "lo"]:
+        df = scen.par(f"bound_activity_{substr}")
+        scen.remove_par(
+            f"bound_activity_{substr}",
+            df[(df["technology"].str.endswith("_fs")) & (df["year_act"] == 2020)],
+        )
+        scen.remove_par(
+            f"bound_activity_{substr}",
+            df[(df["technology"].str.endswith("_i")) & (df["year_act"] == 2020)],
+        )
+        scen.remove_par(
+            f"bound_activity_{substr}",
+            df[(df["technology"].str.endswith("_I")) & (df["year_act"] == 2020)],
+        )
+    scen.commit(comment="remove bounds")
+
+
+def get_hist_act_data(
+    map_fname: str, years: list or None = None, iea_data_path: str = None
+) -> pd.DataFrame:
+    """
+    Reads IEA DB, maps and aggregates variables to MESSAGE technologies
+
+    Parameters
+    ----------
+    map_fname
+        name of MESSAGEix-technology-to-IEA-flow/product mapping file
+    years
+        specifies timesteps for whom historical activity should
+        be calculated and returned
+    iea_data_path: str
+        path to IEA EWEB parquet file
+
+    Returns
+    -------
+    pd.DataFrame
+
+    """
+    path = os.path.join(iea_data_path)
+    iea_enb_df = pd.read_parquet(path, engine="fastparquet")
+    if years:
+        iea_enb_df = iea_enb_df[iea_enb_df["TIME"].isin(years)]
+
+    # map IEA countries to MESSAGE region definition
+    iea_enb_df = map_iea_db_to_msg_regs(iea_enb_df)
+
+    # read file for IEA product/flow - MESSAGE technologies map
+    MAP = read_iea_tec_map(map_fname)
+
+    # map IEA flows to MESSAGE technologies and aggregate
+    df_final = iea_enb_df.set_index(["PRODUCT", "FLOW"]).join(
+        MAP.set_index(["PRODUCT", "FLOW"])
+    )
+
+    # multiply with efficiency and sector coverage ratios
+
+    df_final = (
+        df_final.drop_duplicates()
+        .groupby(["REGION", "technology", "TIME"])
+        .sum(numeric_only=True)
+    )
+    return df_final
+
+
+def get_2020_industry_activity(years: list, iea_data_path: str) -> pd.DataFrame:
+    df_mat = get_hist_act_data("industry.csv", years=years, iea_data_path=iea_data_path)
+    df_chem = get_hist_act_data(
+        "chemicals.csv", years=years, iea_data_path=iea_data_path
+    )
+
+    # scale chemical activity to deduct explicitly
+    # represented activities of MESSAGEix-Materials
+    # (67% are covered by NH3, HVCs and methanol)
+    df_chem = df_chem.mul(0.67)
+    df_mat = df_mat.sub(df_chem, fill_value=0)
+
+    # calculate share of residual activity not covered
+    # by industry sector explicit technologies
+    df = df_mat.dropna().sort_values("Value", ascending=False)
+    # manually set elec_i to 0 since all of it is covered by iron/steel sector
+    df.loc[:, "elec_i", :] = 0
+    df[df.le(0)] *= -1
+
+    df = df.round(5)
+    df.index.set_names(["node_loc", "technology", "year_act"], inplace=True)
+    df["Value"] *= 1000 / 3600 / 8760  # convert from TJ to GWa
+    df.fillna(0)
+
+    df = df[(df.index.get_level_values(0).str.startswith("R12"))]
+    return df
+
+
+def calc_hist_activity(scen: "Scenario", years: list, iea_data_path) -> pd.DataFrame:
+    df_orig = get_hist_act_data(
+        "all_technologies.csv", years=years, iea_data_path=iea_data_path
+    )
+    df_mat = get_hist_act_data("industry.csv", years=years, iea_data_path=iea_data_path)
+    df_chem = get_hist_act_data(
+        "chemicals.csv", years=years, iea_data_path=iea_data_path
+    )
+
+    # RFE: move hardcoded assumptions (chemicals and iron and steel)
+    #  to external data files
+
+    # scale chemical activity to deduct explicitly
+    # represented activities of MESSAGEix-Materials
+    # (67% are covered by NH3, HVCs and methanol)
+    df_chem = df_chem.mul(0.67)
+    df_mat = df_mat.sub(df_chem, fill_value=0)
+
+    # calculate share of residual activity not covered
+    # by industry sector explicit technologies
+    df = df_mat.div(df_orig).dropna().sort_values("Value", ascending=False)
+    # manually set elec_i to 0 since all of it is covered by iron/steel sector
+    df.loc[:, "elec_i", :] = 0
+
+    df = df.round(5)
+    df.index.set_names(["node_loc", "technology", "year_act"], inplace=True)
+
+    tecs = df.index.get_level_values("technology").unique()
+    df_hist_act = scen.par(
+        "historical_activity", filters={"technology": tecs, "year_act": years}
+    )
+
+    df_hist_act_scaled = (
+        df_hist_act.set_index([i for i in df_hist_act.columns if i != "value"])
+        .mul(df.rename({"Value": "value"}, axis=1))
+        .dropna()
+    )
+
+    return df_hist_act_scaled.reset_index()
+
+
+def add_new_ind_hist_act(scen: "Scenario", years: list, iea_data_path: str) -> None:
+    df_act = calc_hist_activity(scen, years, iea_data_path)
+    scen.check_out()
+    scen.add_par("historical_activity", df_act)
+    scen.commit("adjust historical activity of industrial end use tecs")
+
+
+def calc_demand_shares(iea_db_df: pd.DataFrame, base_year: int) -> pd.DataFrame:
+    # RFE: refactor to use external mapping file (analogue to calc_hist_activity())
+    i_spec_material_flows = ["NONMET", "NONFERR"]  # "CHEMICAL"
+    i_therm_material_flows = ["NONMET", "CHEMICAL", "IRONSTL"]
+    i_flow = ["TOTIND"]
+    i_spec_prods = ["ELECTR", "NONBIODIES", "BIOGASOL"]
+    year = base_year
+
+    df_i_spec = iea_db_df[
+        (iea_db_df["FLOW"].isin(i_flow))
+        & (iea_db_df["PRODUCT"].isin(i_spec_prods))
+        & ~((iea_db_df["PRODUCT"] == ("ELECTR")) & (iea_db_df["FLOW"] == "IRONSTL"))
+        & (iea_db_df["TIME"] == year)
+    ]
+    df_i_spec = df_i_spec.groupby("REGION").sum(numeric_only=True)
+
+    df_i_spec_materials = iea_db_df[
+        (iea_db_df["FLOW"].isin(i_spec_material_flows))
+        & (iea_db_df["PRODUCT"].isin(i_spec_prods))
+        & (iea_db_df["TIME"] == year)
+    ]
+    df_i_spec_materials = df_i_spec_materials.groupby("REGION").sum(numeric_only=True)
+
+    df_i_spec_resid_shr = (
+        df_i_spec_materials.div(df_i_spec, fill_value=0).sub(1).mul(-1)
+    )
+    df_i_spec_resid_shr["commodity"] = "i_spec"
+
+    df_elec_i = iea_db_df[
+        ((iea_db_df["PRODUCT"] == ("ELECTR")) & (iea_db_df["FLOW"] == "IRONSTL"))
+        & (iea_db_df["TIME"] == year)
+    ]
+    df_elec_i = df_elec_i.groupby("REGION").sum(numeric_only=True)
+
+    agg_prods = ["MRENEW", "TOTAL"]
+    df_i_therm = iea_db_df[
+        (iea_db_df["FLOW"].isin(i_flow))
+        & ~(iea_db_df["PRODUCT"].isin(i_spec_prods))
+        & ~(iea_db_df["PRODUCT"].isin(agg_prods))
+        & (iea_db_df["TIME"] == year)
+    ]
+    df_i_therm = df_i_therm.groupby("REGION").sum(numeric_only=True)
+    df_i_therm = df_i_therm.add(df_elec_i, fill_value=0)
+
+    agg_prods = ["MRENEW", "TOTAL"]
+    df_i_therm_materials = iea_db_df[
+        (iea_db_df["FLOW"].isin(i_therm_material_flows))
+        & ~(iea_db_df["PRODUCT"].isin(i_spec_prods))
+        & ~(iea_db_df["PRODUCT"].isin(agg_prods))
+        & (iea_db_df["TIME"] == year)
+    ]
+    df_i_therm_materials = df_i_therm_materials.groupby(["REGION", "FLOW"]).sum(
+        numeric_only=True
+    )
+    # only two thirds of chemical consumption is represented
+    # by Materials module currently
+    df_i_therm_materials.loc[
+        df_i_therm_materials.index.get_level_values(1) == "CHEMICAL", "Value"
+    ] *= 0.67
+
+    # only covering cement at the moment
+    # quick fix assuming 67% of NONMET is used for cement in each region
+    # needs regional differentiation once data is collected
+    df_i_therm_materials.loc[
+        df_i_therm_materials.index.get_level_values(1) == "NONMET", "Value"
+    ] *= 0.67
+
+    df_i_therm_materials = df_i_therm_materials.groupby("REGION").sum(numeric_only=True)
+    df_i_therm_materials = df_i_therm_materials.add(df_elec_i, fill_value=0)
+
+    df_i_therm_resid_shr = df_i_therm_materials.div(df_i_therm).sub(1).mul(-1)
+    df_i_therm_resid_shr["commodity"] = "i_therm"
+
+    return (
+        pd.concat([df_i_spec_resid_shr, df_i_therm_resid_shr])
+        .set_index("commodity", append=True)
+        .drop("TIME", axis=1)
+    )
+
+
+def calc_resid_ind_demand(
+    scen: "Scenario", baseyear: int, iea_data_path: str
+) -> pd.DataFrame:
+    comms = ["i_spec", "i_therm"]
+    path = os.path.join(iea_data_path)
+    Inp = pd.read_parquet(path, engine="fastparquet")
+    Inp = map_iea_db_to_msg_regs(Inp)
+    demand_shrs_new = calc_demand_shares(pd.DataFrame(Inp), baseyear)
+    df_demands = scen.par("demand", filters={"commodity": comms}).set_index(
+        ["node", "commodity", "year"]
+    )
+    demand_shrs_new.index.set_names(["node", "commodity"], inplace=True)
+    df_demands["value"] = df_demands["value"] * demand_shrs_new["Value"]
+    return df_demands.reset_index()
+
+
+def modify_industry_demand(scen: "Scenario", baseyear: int, iea_data_path: str) -> None:
+    df_demands_new = calc_resid_ind_demand(scen, baseyear, iea_data_path)
+    scen.check_out()
+    scen.add_par("demand", df_demands_new)
+
+    # RFE: calculate deductions from IEA data instead
+    #  of assuming full coverage by MESSAGE-Materials (chemicals)
+    # remove i_spec demand separately since we assume 100% coverage by MESSAGE-Materials
+    df_i_feed = scen.par("demand", filters={"commodity": "i_feed"})
+    scen.remove_par("demand", df_i_feed)
+    scen.commit("adjust residual industry demands")
+
+
+def add_elec_lowerbound_2020(scen: "Scenario") -> None:
+    """
+    DEPRECATED
+    Adds a bound_activity_lo to the technology "sp_el_I"
+    Parameters
+    ----------
+    scen: .Scenario
+        scenario to apply the lower bound to
+    """
+    # To avoid zero i_spec prices only for R12_CHN, add the below section.
+    # read input parameters for relevant technology/commodity combinations for
+    # converting betwen final and useful energy
+
+    input_residual_electricity = scen.par(
+        "input",
+        filters={"technology": "sp_el_I", "year_vtg": "2020", "year_act": "2020"},
+    )
+
+    # read processed final energy data from IEA extended energy balances
+    # that is aggregated to MESSAGEix regions, fuels and (industry) sectors
+
+    final = pd.read_csv(
+        package_data_path("material", "other", "residual_industry_2019.csv")
+    )
+
+    # downselect needed fuels and sectors
+    final_residual_electricity = final.query(
+        'MESSAGE_fuel=="electr" & MESSAGE_sector=="industry_residual"'
+    )
+
+    # join final energy data from IEA energy balances and input coefficients
+    # from final-to-useful technologies from MESSAGEix
+    bound_residual_electricity = pd.merge(
+        input_residual_electricity,
+        final_residual_electricity,
+        left_on="node_loc",
+        right_on="MESSAGE_region",
+        how="inner",
+    )
+
+    # derive useful energy values by dividing final energy by
+    # input coefficient from final-to-useful technologies
+    bound_residual_electricity["value"] = (
+        bound_residual_electricity["Value"] / bound_residual_electricity["value"]
+    )
+
+    # downselect dataframe columns for MESSAGEix parameters
+    bound_residual_electricity = bound_residual_electricity.filter(
+        items=["node_loc", "technology", "year_act", "mode", "time", "value", "unit_x"]
+    )
+    # rename columns if necessary
+    bound_residual_electricity.columns = [
+        "node_loc",
+        "technology",
+        "year_act",
+        "mode",
+        "time",
+        "value",
+        "unit",
+    ]
+
+    # Decrease 20% to aviod zero prices (the issue continiues otherwise)
+    bound_residual_electricity["value"] = bound_residual_electricity["value"] * 0.8
+    bound_residual_electricity = bound_residual_electricity[
+        bound_residual_electricity["node_loc"] == "R12_CHN"
+    ]
+
+    scen.check_out()
+
+    # add parameter dataframes to ixmp
+    scen.add_par("bound_activity_lo", bound_residual_electricity)
+
+    # Remove the previous bounds
+    remove_par_lo = scen.par(
+        "growth_activity_lo",
+        filters={"technology": "sp_el_I", "year_act": 2020, "node_loc": "R12_CHN"},
+    )
+    scen.remove_par("growth_activity_lo", remove_par_lo)
+
+    scen.commit("added lower bound for activity of residual electricity technologies")
+
+
+def add_coal_lowerbound_2020(scen: "Scenario") -> None:
+    """Set lower bounds for coal_i and sp_el_I technology as a calibration for 2020"""
+
+    final_resid = pd.read_csv(
+        package_data_path("material", "other", "residual_industry_2019.csv")
+    )
+
+    # read input parameters for relevant technology/commodity combinations
+    # for converting betwen final and useful energy
+    input_residual_coal = scen.par(
+        "input",
+        filters={"technology": "coal_i", "year_vtg": "2020", "year_act": "2020"},
+    )
+    input_residual_electricity = scen.par(
+        "input",
+        filters={"technology": "sp_el_I", "year_vtg": "2020", "year_act": "2020"},
+    )
+
+    # downselect needed fuels and sectors
+    final_residual_coal = final_resid.query(
+        'MESSAGE_fuel=="coal" & MESSAGE_sector=="industry_residual"'
+    )
+    final_residual_electricity = final_resid.query(
+        'MESSAGE_fuel=="electr" & MESSAGE_sector=="industry_residual"'
+    )
+
+    # join final energy data from IEA energy balances and input
+    # coefficients from final-to-useful technologies from MESSAGEix
+    bound_coal = pd.merge(
+        input_residual_coal,
+        final_residual_coal,
+        left_on="node_loc",
+        right_on="MESSAGE_region",
+        how="inner",
+    )
+    bound_residual_electricity = pd.merge(
+        input_residual_electricity,
+        final_residual_electricity,
+        left_on="node_loc",
+        right_on="MESSAGE_region",
+        how="inner",
+    )
+
+    # derive useful energy values by dividing final energy
+    # by input coefficient from final-to-useful technologies
+    bound_coal["value"] = bound_coal["Value"] / bound_coal["value"]
+    bound_residual_electricity["value"] = (
+        bound_residual_electricity["Value"] / bound_residual_electricity["value"]
+    )
+
+    # downselect dataframe columns for MESSAGEix parameters
+    bound_coal = bound_coal.filter(
+        items=["node_loc", "technology", "year_act", "mode", "time", "value", "unit_x"]
+    )
+    bound_residual_electricity = bound_residual_electricity.filter(
+        items=["node_loc", "technology", "year_act", "mode", "time", "value", "unit_x"]
+    )
+
+    # rename columns if necessary
+    bound_coal.columns = [
+        "node_loc",
+        "technology",
+        "year_act",
+        "mode",
+        "time",
+        "value",
+        "unit",
+    ]
+    bound_residual_electricity.columns = [
+        "node_loc",
+        "technology",
+        "year_act",
+        "mode",
+        "time",
+        "value",
+        "unit",
+    ]
+
+    # (Artificially) lower bounds when i_spec act is too close
+    # to the bounds (avoid 0-price for macro calibration)
+    more = ["R12_MEA", "R12_EEU", "R12_SAS", "R12_PAS"]
+    # import pdb; pdb.set_trace()
+    bound_residual_electricity.loc[
+        bound_residual_electricity.node_loc.isin(["R12_PAO"]), "value"
+    ] *= 0.80
+
+    bound_residual_electricity.loc[
+        bound_residual_electricity.node_loc.isin(more), "value"
+    ] *= 0.85
+
+    scen.check_out()
+    # add parameter dataframes to ixmp
+    scen.add_par("bound_activity_lo", bound_coal)
+    # sc.add_par("bound_activity_lo", bound_cement_coal)
+    scen.add_par("bound_activity_lo", bound_residual_electricity)
+
+    # commit scenario to ixmp backend
+    scen.commit(
+        "added lower bound for activity of residual industrial coal"
+        "and cement coal furnace technologies and "
+        "adjusted 2020 residual industrial electricity demand"
+    )
+
+
+def add_coal_lowerbound_2020_cement(scen: "Scenario") -> None:
+    """
+    DEPRECATED
+    Adds a bound_activity_lo to the technology "furnace_coal_cement"
+    Parameters
+    ----------
+    scen: .Scenario
+        scenario to apply the lower bound to
+    """
+    final_resid = pd.read_csv(
+        package_data_path("material", "other", "residual_industry_2019.csv")
+    )
+    input_cement_coal = scen.par(
+        "input",
+        filters={
+            "technology": "furnace_coal_cement",
+            "year_vtg": "2020",
+            "year_act": "2020",
+            "mode": "high_temp",
+        },
+    )
+    final_cement_coal = final_resid.query(
+        'MESSAGE_fuel=="coal" & MESSAGE_sector=="cement"'
+    )
+    bound_cement_coal = pd.merge(
+        input_cement_coal,
+        final_cement_coal,
+        left_on="node_loc",
+        right_on="MESSAGE_region",
+        how="inner",
+    )
+    bound_cement_coal["value"] = bound_cement_coal["Value"] / bound_cement_coal["value"]
+    bound_cement_coal = bound_cement_coal.filter(
+        items=["node_loc", "technology", "year_act", "mode", "time", "value", "unit_x"]
+    )
+    bound_cement_coal.columns = [
+        "node_loc",
+        "technology",
+        "year_act",
+        "mode",
+        "time",
+        "value",
+        "unit",
+    ]
+
+
+def get_hist_act(scen, years, data_file_path=None, use_cached=False):
+    s_info = ScenarioInfo(scen)
+    fmy = s_info.y0
+    if use_cached:
+        df = pd.DataFrame()
+        for type_tec in ["i_spec", "i_therm"]:
+            df = pd.concat(
+                [
+                    df,
+                    pd.read_csv(
+                        package_data_path(
+                            "material",
+                            "other",
+                            "activity",
+                            f"{type_tec}_tecs_hist_act.csv",
+                        )
+                    ),
+                ]
+            )
+        df = df.rename(
+            columns={
+                "TIME": "year_act",
+                "R12": "node_loc",
+                "TECHNOLOGY": "technology",
+                "Value": "value",
+            }
+        )
+    else:
+        df = get_2020_industry_activity(years, data_file_path)
+        ind_tecs = [
+            i for i in scen.set("technology") if (i.endswith("_i") or i.endswith("_I"))
+        ]
+        inp = scen.par(
+            "input",
+            filters={"technology": ind_tecs, "year_act": years, "year_vtg": years},
+        )
+        inp = inp[inp["year_act"] == inp["year_vtg"]]
+        inp = inp.set_index(["node_loc", "technology", "year_act"]).rename(
+            columns={"value": "efficiency"}
+        )
+        df = df.div(inp["efficiency"], axis=0).dropna()
+
+        df = df.reset_index().rename(columns={"Value": "value"})
+    df["mode"] = "M1"
+    df["unit"] = "GWa"
+    df["time"] = "year"
+    df = make_df("historical_activity", **df)
+    # common = {
+    #     "mode": "M1",
+    #     "unit": "GWa",
+    #     "time": "year",
+    #     "year_act": 2020,
+    #     "technology": ind_tecs,
+    #     "value": 0,
+    # }
+    # df_zero = message_ix.util.make_df("historical_activity", **common).pipe(
+    #     broadcast, node_loc=nodes_ex_world(s_info.N)
+    # )
+    # df_join = df_zero[["node_loc", "technology", "year_act", "value"]].merge(
+    #     df[["node_loc", "technology", "year_act", "value"]],
+    #     on=["node_loc", "technology", "year_act"],
+    #     how="left",
+    # )
+    # df_missing = df_join[df_join.value_y.isna()]
+    return {
+        "bound_activity_up": df[df["year_act"].ge(fmy)].assign(
+            value=lambda x: x["value"] * 1.005, axis=1
+        ),
+        "bound_activity_lo": df[df["year_act"].ge(fmy)].assign(
+            value=lambda x: x["value"] * 0.95, axis=1
+        ),
+        "historical_activity": df[df["year_act"].lt(fmy)],
+    }
+
+
+def gen_other_ind_demands(ssp):
+    demands = {}
+    for comm in ["i_therm", "i_spec"]:
+        df = pd.read_csv(
+            package_data_path("material", "other", "demand", f"{comm}_{ssp}.csv")
+        ).rename(columns={"year_act": "year", "0": "value", "node_loc": "node"})
+        df_2025 = pd.read_csv(
+            package_data_path("material", "other", "demand", f"{comm}_SSP2.csv")
+        ).rename(columns={"year_act": "year", "0": "value", "node_loc": "node"})
+        df = pd.concat([df[df["year"]!=2025], df_2025[df_2025["year"]==2025]])
+        df["commodity"] = comm
+        df["time"] = "year"
+        df["unit"] = "GWa"
+        df["level"] = "useful"
+        demands[comm] = df.copy(deep=True)
+    return demands
+
+
+if __name__ == "__main__":
+    gen_other_ind_demands("SSP3")
+    import ixmp
+    import message_ix
+
+    mp = ixmp.Platform("ixmp_dev")
+    scen = message_ix.Scenario(
+        mp, "SSP_dev_SSP2_v0.1_Blv0.18", "baseline_prep_lu_bkp_solved_materials_W34"
+    )
+
+    dfs = get_hist_act(
+        scen,
+        [2015, 2020],
+        r"P:/ene.model/IEA_database/Florian/S3_IEA_REV2024_FiltISO_TJ_BIO.parquet",
+        use_cached=True,
+    )
+    print()
diff --git a/message_ix_models/model/material/data_petro.py b/message_ix_models/model/material/data_petro.py
index 7f64836f85..4281d38a39 100644
--- a/message_ix_models/model/material/data_petro.py
+++ b/message_ix_models/model/material/data_petro.py
@@ -5,9 +5,18 @@
 from message_ix import make_df
 
 from message_ix_models import ScenarioInfo
-from message_ix_models.model.material.data_util import read_timeseries
+from message_ix_models.model.material.data_util import (
+    gen_chemicals_co2_ind_factors,
+    gen_ethanol_to_ethylene_emi_factor,
+    gen_plastics_emission_factors,
+    read_timeseries,
+)
 from message_ix_models.model.material.material_demand import material_demand_calc
-from message_ix_models.model.material.util import get_ssp_from_context, read_config
+from message_ix_models.model.material.util import (
+    combine_df_dictionaries,
+    get_ssp_from_context,
+    read_config,
+)
 from message_ix_models.util import (
     broadcast,
     nodes_ex_world,
@@ -319,7 +328,7 @@ def gen_data_petro_chemicals(
     # Techno-economic assumptions
     data_petro = read_data_petrochemicals(scenario)
     data_petro_ts = read_timeseries(
-        scenario, "petrochemicals", "petrochemicals_techno_economic.xlsx"
+        scenario, "petrochemicals", None, "petrochemicals_techno_economic.xlsx"
     )
     # List of data frames, to be concatenated together at end
     results = defaultdict(list)
@@ -474,10 +483,15 @@ def gen_data_petro_chemicals(
     default_gdp_elasticity_2020, default_gdp_elasticity_2030 = iea_elasticity_map[
         ssp_mode_map[ssp]
     ]
-    demand_hvc = material_demand_calc.gen_demand_petro(
+    df_demand = material_demand_calc.gen_demand_petro(
         scenario, "HVC", default_gdp_elasticity_2020, default_gdp_elasticity_2030
     )
-    results["demand"].append(demand_hvc)
+    df_2025 = pd.read_csv(
+        package_data_path("material", "petrochemicals", "demand_2025.csv")
+    )
+    df_demand = df_demand[df_demand["year"] != 2025]
+    df_demand = pd.concat([df_2025, df_demand])
+    results["demand"].append(df_demand)
 
     # Special treatment for time-varying params
     tec_ts = set(data_petro_ts.technology)  # set of tecs in timeseries sheet
@@ -544,6 +558,17 @@ def gen_data_petro_chemicals(
     df["technology"] = "gas_processing_petro"
     results["relation_activity"] = df
 
+    meth_downstream_emi_top_down = gen_plastics_emission_factors(s_info, "HVCs")
+    meth_downstream_emi_bot_up = gen_chemicals_co2_ind_factors(s_info, "HVCs")
+    meth_downstream_emi_eth = gen_ethanol_to_ethylene_emi_factor(s_info)
+
+    results = combine_df_dictionaries(
+        results,
+        meth_downstream_emi_top_down,
+        meth_downstream_emi_bot_up,
+        meth_downstream_emi_eth,
+    )
+
     # TODO: move this to input xlsx file
     df_gro = results["growth_activity_up"]
     drop_idx = df_gro[
@@ -552,4 +577,11 @@ def gen_data_petro_chemicals(
         & (df_gro["year_act"] == 2020)
     ].index
     results["growth_activity_up"] = results["growth_activity_up"].drop(drop_idx)
-    return results
+
+    reduced_pdict = {}
+    for k,v in results.items():
+        if set(["year_act", "year_vtg"]).issubset(v.columns):
+            v = v[(v["year_act"] - v["year_vtg"]) <= 40]
+        reduced_pdict[k] = v.drop_duplicates().copy(deep=True)
+
+    return reduced_pdict
diff --git a/message_ix_models/model/material/data_steel.py b/message_ix_models/model/material/data_steel.py
index 24f6f640e6..e7220ac67a 100644
--- a/message_ix_models/model/material/data_steel.py
+++ b/message_ix_models/model/material/data_steel.py
@@ -427,6 +427,24 @@ def gen_data_steel_rel(data_steel_rel, results, regions, modelyears):
     return
 
 
+def gen_cokeoven_co2_cc(s_info):
+    emi_dict = {
+        "unit": "Mt C/yr",
+        "technology": "cokeoven_steel",
+        "mode": "M1",
+        "value": 0.814 * 0.2,
+        # coal coeffient * difference between coal "final" and "dummy_emission" input
+        "relation": "CO2_cc",
+    }
+    df = (
+        make_df("relation_activity", **emi_dict)
+        .pipe(broadcast, node_loc=nodes_ex_world(s_info.N), year_act=s_info.Y)
+        .pipe(same_node)
+    )
+    df["year_rel"] = df["year_act"]
+    return df
+
+
 def gen_data_steel(scenario: message_ix.Scenario, dry_run: bool = False):
     """Generate data for materials representation of steel industry."""
     # Load configuration
@@ -439,10 +457,10 @@ def gen_data_steel(scenario: message_ix.Scenario, dry_run: bool = False):
     # Techno-economic assumptions
     # TEMP: now add cement sector as well
     # => Need to separate those since now I have get_data_steel and cement
-    data_steel = read_sector_data(scenario, "steel", "Global_steel_MESSAGE.xlsx")
+    data_steel = read_sector_data(scenario, "steel", ssp, "Global_steel_MESSAGE.xlsx")
     # Special treatment for time-dependent Parameters
-    data_steel_ts = read_timeseries(scenario, "steel", "Global_steel_MESSAGE.xlsx")
-    data_steel_rel = read_rel(scenario, "steel", "Global_steel_MESSAGE.xlsx")
+    data_steel_ts = read_timeseries(scenario, "steel", ssp, "Global_steel_MESSAGE.xlsx")
+    data_steel_rel = read_rel(scenario, "steel", ssp, "Global_steel_MESSAGE.xlsx")
 
     tec_ts = set(data_steel_ts.technology)  # set of tecs with var_cost
 
@@ -471,25 +489,29 @@ def gen_data_steel(scenario: message_ix.Scenario, dry_run: bool = False):
         )
 
     # Add relation for the maximum global scrap use in 2020
-    df_max_recycling = pd.DataFrame(
-        {
-            "relation": "max_global_recycling_steel",
-            "node_rel": "R12_GLB",
-            "year_rel": 2020,
-            "year_act": 2020,
-            "node_loc": nodes,
-            "technology": "scrap_recovery_steel",
-            "mode": "M1",
-            "unit": "???",
-            "value": data_steel_rel.loc[
-                (
-                    (data_steel_rel["relation"] == "max_global_recycling_steel")
-                    & (data_steel_rel["parameter"] == "relation_activity")
-                ),
-                "value",
-            ].values[0],
-        }
-    )
+    for t in ['scrap_recovery_steel_1', 'scrap_recovery_steel_2', 'scrap_recovery_steel_3']:
+        df_max_recycling = pd.DataFrame(
+                {
+                    "relation": "max_global_recycling_steel",
+                    "node_rel": "R12_GLB",
+                    "year_rel": 2020,
+                    "year_act": 2020,
+                    "node_loc": nodes,
+                    "technology": t,
+                    "mode": "M1",
+                    "unit": "???",
+                    "value": data_steel_rel.loc[
+                        (
+                            (data_steel_rel["relation"] == "max_global_recycling_steel")
+                            & (data_steel_rel["parameter"] == "relation_activity")
+                        ),
+                        "value",
+                    ].values[0],
+                }
+            )
+
+        results["relation_activity"].append(df_max_recycling)
+
     df_max_recycling_upper = pd.DataFrame(
         {
             "relation": "max_global_recycling_steel",
@@ -531,7 +553,12 @@ def gen_data_steel(scenario: message_ix.Scenario, dry_run: bool = False):
 
     # Create external demand param
     parname = "demand"
+    df_2025 = pd.read_csv(
+        package_data_path("material", "steel", "demand_2025.csv")
+    )
     df_demand = material_demand_calc.derive_demand("steel", scenario, ssp=ssp)
+    df_demand = df_demand[df_demand["year"] != 2025]
+    df_demand = pd.concat([df_2025, df_demand])
     results[parname].append(df_demand)
 
     common = dict(
@@ -576,15 +603,36 @@ def gen_data_steel(scenario: message_ix.Scenario, dry_run: bool = False):
                 df_demand=df_demand.copy(deep=True),
                 technology="dri_gas_ccs_steel",
                 material="steel",
+                ssp = ssp,
             ),
             calculate_ini_new_cap(
                 df_demand=df_demand.copy(deep=True),
                 technology="bf_ccs_steel",
                 material="steel",
+                ssp = ssp
             ),
         ]
     )
 
+    results["relation_activity"] = pd.concat(
+        [results["relation_activity"], gen_cokeoven_co2_cc(s_info)]
+    )
+
     maybe_remove_water_tec(scenario, results)
 
-    return results
+    if ssp == "SSP1":
+        df_tmp = results["relation_activity"]
+        df_tmp = df_tmp[
+            (df_tmp["relation"] == "minimum_recycling_steel")
+            & (df_tmp["technology"] == "total_EOL_steel")
+        ]
+        df_tmp = df_tmp[df_tmp["year_rel"] >= 2030]
+        df_tmp["value"] = -0.7
+
+    reduced_pdict = {}
+    for k,v in results.items():
+        if set(["year_act", "year_vtg"]).issubset(v.columns):
+            v = v[(v["year_act"] - v["year_vtg"]) <= 30]
+        reduced_pdict[k] = v.drop_duplicates().copy(deep=True)
+
+    return reduced_pdict
diff --git a/message_ix_models/model/material/data_util.py b/message_ix_models/model/material/data_util.py
index 8e66400e59..f1b5069527 100644
--- a/message_ix_models/model/material/data_util.py
+++ b/message_ix_models/model/material/data_util.py
@@ -1,9 +1,7 @@
-import os
 from collections.abc import Mapping
 from functools import lru_cache
 from typing import TYPE_CHECKING, Literal
 
-import ixmp
 import message_ix
 import numpy as np
 import pandas as pd
@@ -12,81 +10,27 @@
 
 from message_ix_models import ScenarioInfo
 from message_ix_models.model.material.util import (
+    read_yaml_file,
     remove_from_list_if_exists,
 )
 from message_ix_models.model.structure import get_region_codes
 from message_ix_models.tools.costs.config import Config
 from message_ix_models.tools.costs.projections import create_cost_projections
 from message_ix_models.tools.exo_data import prepare_computer
-from message_ix_models.util import package_data_path
+from message_ix_models.util import (
+    broadcast,
+    nodes_ex_world,
+    package_data_path,
+    same_node,
+)
 
 if TYPE_CHECKING:
-    from message_ix_models import Context
-
-
-def load_GDP_COVID() -> pd.DataFrame:
-    """
-    Load COVID adjuste GDP projection
-
-    Returns
-    -------
-    pd.DataFrame
-    """
-    # Obtain 2015 and 2020 GDP values from NGFS baseline.
-    # These values are COVID corrected. (GDP MER)
-
-    mp = ixmp.Platform()
-    scen_NGFS = message_ix.Scenario(
-        mp, "MESSAGEix-GLOBIOM 1.1-M-R12-NGFS", "baseline", cache=True
-    )
-    gdp_covid_2015 = scen_NGFS.par("gdp_calibrate", filters={"year": 2015})
-
-    gdp_covid_2020 = scen_NGFS.par("gdp_calibrate", filters={"year": 2020})
-    gdp_covid_2020 = gdp_covid_2020.drop(["year", "unit"], axis=1)
-
-    # Obtain SSP2 GDP growth rates after 2020 (from ENGAGE baseline)
-
-    f_name = "iamc_db ENGAGE baseline GDP PPP.xlsx"
-
-    gdp_ssp2 = pd.read_excel(
-        package_data_path("material", "other", f_name), sheet_name="data_R12"
-    )
-    gdp_ssp2 = gdp_ssp2[gdp_ssp2["Scenario"] == "baseline"]
-    regions = "R12_" + gdp_ssp2["Region"]
-    gdp_ssp2 = gdp_ssp2.drop(
-        ["Model", "Scenario", "Unit", "Region", "Variable", "Notes"], axis=1
-    )
-    gdp_ssp2 = gdp_ssp2.loc[:, 2020:]
-    gdp_ssp2 = gdp_ssp2.divide(gdp_ssp2[2020], axis=0)
-    gdp_ssp2["node"] = regions
-    gdp_ssp2 = gdp_ssp2[gdp_ssp2["node"] != "R12_World"]
-
-    # Multiply 2020 COVID corrrected values with SSP2 growth rates
-
-    df_new = pd.DataFrame(columns=["node", "year", "value"])
-
-    for ind in gdp_ssp2.index:
-        df_temp = pd.DataFrame(columns=["node", "year", "value"])
-        region = gdp_ssp2.loc[ind, "node"]
-        mult_value = gdp_covid_2020.loc[
-            gdp_covid_2020["node"] == region, "value"
-        ].values[0]
-        temp = gdp_ssp2.loc[ind, 2020:2110] * mult_value
-        region_list = [region] * temp.size
-
-        df_temp["node"] = region_list
-        df_temp["year"] = temp.index
-        df_temp["value"] = temp.values
-
-        df_new = pd.concat([df_new, df_temp])
-
-    df_new["unit"] = "T$"
-    df_new = pd.concat([df_new, gdp_covid_2015])
+    from message_ix import Scenario
 
-    return df_new
+    from message_ix_models import Context
 
 
-def add_macro_COVID(
+def add_macro_materials(
     scen: message_ix.Scenario, filename: str, check_converge: bool = False
 ) -> message_ix.Scenario:
     """
@@ -131,614 +75,10 @@ def add_macro_COVID(
     return scen
 
 
-def modify_demand_and_hist_activity(scen: message_ix.Scenario) -> None:
-    """Take care of demand changes due to the introduction of material parents
-    Shed industrial energy demand properly.
-    Also need take care of remove dynamic constraints for certain energy carriers.
-    Adjust the historical activity of the related industry technologies
-    that provide output to different categories of industrial demand (e.g.
-    i_therm, i_spec, i_feed). The historical activity is reduced the same %
-    as the industrial demand is reduced.
-
-    Parameters
-    ----------
-    scen: message_ix.Scenario
-        scenario where industry demand should be reduced
-    """
-
-    # NOTE Temporarily modifying industrial energy demand
-    # From IEA database (dumped to an excel)
-
-    s_info = ScenarioInfo(scen)
-    fname = "MESSAGEix-Materials_final_energy_industry.xlsx"
-
-    if "R12_CHN" in s_info.N:
-        sheet_n = "R12"
-        region_type = "R12_"
-        region_name_CPA = "RCPA"
-        region_name_CHN = "CHN"
-    else:
-        sheet_n = "R11"
-        region_type = "R11_"
-        region_name_CPA = "CPA"
-        region_name_CHN = ""
-
-    df = pd.read_excel(
-        package_data_path("material", "other", fname), sheet_name=sheet_n, usecols="A:F"
-    )
-
-    # Filter the necessary variables
-    df = df[
-        (df["SECTOR"] == "feedstock (petrochemical industry)")
-        | (df["SECTOR"] == "feedstock (total)")
-        | (df["SECTOR"] == "industry (chemicals)")
-        | (df["SECTOR"] == "industry (iron and steel)")
-        | (df["SECTOR"] == "industry (non-ferrous metals)")
-        | (df["SECTOR"] == "industry (non-metallic minerals)")
-        | (df["SECTOR"] == "industry (total)")
-    ]
-    df = df[df["RYEAR"] == 2015]
-
-    # NOTE: Total cehmical industry energy: 27% thermal, 8% electricity, 65% feedstock
-    # SOURCE: IEA Sankey 2020: https://www.iea.org/sankey/#?c=World&s=Final%20consumption
-    # 67% of total chemicals energy is used for primary chemicals (ammonia,methnol,HVCs)
-    # SOURCE: https://www.iea.org/data-and-statistics/charts/primary-chemical-production-in-the-sustainable-development-scenario-2000-2030
-
-    # Retreive data for i_spec
-    # 67% of total chemcials electricity demand comes from primary chemicals (IEA)
-    # (Excludes petrochemicals as the share is negligable)
-    # Aluminum, cement and steel included.
-    # NOTE: Steel has high shares (previously it was not inlcuded in i_spec)
-
-    df_spec = df[
-        (df["FUEL"] == "electricity")
-        & (df["SECTOR"] != "industry (total)")
-        & (df["SECTOR"] != "feedstock (petrochemical industry)")
-        & (df["SECTOR"] != "feedstock (total)")
-    ]
-    df_spec_total = df[
-        (df["SECTOR"] == "industry (total)") & (df["FUEL"] == "electricity")
-    ]
-
-    df_spec_new = pd.DataFrame(
-        columns=["REGION", "SECTOR", "FUEL", "RYEAR", "UNIT_OUT", "RESULT"]
-    )
-    for r in df_spec["REGION"].unique():
-        df_spec_temp = df_spec[df_spec["REGION"] == r].copy(deep=True)
-        df_spec_total_temp = df_spec_total.loc[df_spec_total["REGION"] == r]
-        df_spec_temp.loc[:, "i_spec"] = (
-            df_spec_temp.loc[:, "RESULT"]
-            / df_spec_total_temp.loc[:, "RESULT"].values[0]
-        )
-        df_spec_new = pd.concat([df_spec_temp, df_spec_new], ignore_index=True)
-
-    df_spec_new.drop(["FUEL", "RYEAR", "UNIT_OUT", "RESULT"], axis=1, inplace=True)
-    df_spec_new.loc[df_spec_new["SECTOR"] == "industry (chemicals)", "i_spec"] = (
-        df_spec_new.loc[df_spec_new["SECTOR"] == "industry (chemicals)", "i_spec"]
-        * 0.67
-    )
-
-    df_spec_new = df_spec_new.groupby(["REGION"]).sum().reset_index()
-
-    # Already set to zero: ammonia, methanol, HVCs cover most of the feedstock
-
-    df_feed = df[
-        (df["SECTOR"] == "feedstock (petrochemical industry)") & (df["FUEL"] == "total")
-    ]
-    # df_feed_total =
-    # df[(df["SECTOR"] == "feedstock (total)") & (df["FUEL"] == "total")]
-    df_feed_temp = pd.DataFrame(columns=["REGION", "i_feed"])
-    df_feed_new = pd.DataFrame(columns=["REGION", "i_feed"])
-
-    for r in df_feed["REGION"].unique():
-        i = 0
-        df_feed_temp.at[i, "REGION"] = r
-        df_feed_temp.at[i, "i_feed"] = 1
-        i = i + 1
-        df_feed_new = pd.concat([df_feed_temp, df_feed_new], ignore_index=True)
-
-    # Retreive data for i_therm
-    # 67% of chemical thermal energy chemicals comes from primary chemicals. (IEA)
-    # NOTE: Aluminum is excluded since refining process is not explicitly represented
-    # NOTE: CPA has a 3% share while it used to be 30% previosuly ??
-
-    df_therm = df[
-        (df["FUEL"] != "electricity")
-        & (df["FUEL"] != "total")
-        & (df["SECTOR"] != "industry (total)")
-        & (df["SECTOR"] != "feedstock (petrochemical industry)")
-        & (df["SECTOR"] != "feedstock (total)")
-        & (df["SECTOR"] != "industry (non-ferrous metals)")
-    ]
-    df_therm_total = df[
-        (df["SECTOR"] == "industry (total)")
-        & (df["FUEL"] != "total")
-        & (df["FUEL"] != "electricity")
-    ]
-    df_therm_total = (
-        df_therm_total.groupby(by="REGION").sum().drop(["RYEAR"], axis=1).reset_index()
-    )
-    df_therm = (
-        df_therm.groupby(by=["REGION", "SECTOR"])
-        .sum()
-        .drop(["RYEAR"], axis=1)
-        .reset_index()
-    )
-    df_therm_new = pd.DataFrame(
-        columns=["REGION", "SECTOR", "FUEL", "RYEAR", "UNIT_OUT", "RESULT"]
-    )
-
-    for r in df_therm["REGION"].unique():
-        df_therm_temp = df_therm.loc[df_therm["REGION"] == r].copy(deep=True)
-        df_therm_total_temp = df_therm_total.loc[df_therm_total["REGION"] == r]
-        df_therm_temp.loc[:, "i_therm"] = (
-            df_therm_temp.loc[:, "RESULT"]
-            / df_therm_total_temp.loc[:, "RESULT"].values[0]
-        )
-        df_therm_new = pd.concat([df_therm_temp, df_therm_new], ignore_index=True)
-        df_therm_new = df_therm_new.drop(["RESULT"], axis=1)
-
-    df_therm_new.drop(["FUEL", "RYEAR", "UNIT_OUT"], axis=1, inplace=True)
-    df_therm_new.loc[df_therm_new["SECTOR"] == "industry (chemicals)", "i_therm"] = (
-        df_therm_new.loc[df_therm_new["SECTOR"] == "industry (chemicals)", "i_therm"]
-        * 0.67
-    )
-
-    # Modify CPA based on https://www.iea.org/sankey/#?c=Japan&s=Final%20consumption.
-    # Since the value did not allign with the one in the IEA website.
-    index = (df_therm_new["SECTOR"] == "industry (iron and steel)") & (
-        (df_therm_new["REGION"] == region_name_CPA)
-        | (df_therm_new["REGION"] == region_name_CHN)
-    )
-
-    df_therm_new.loc[index, "i_therm"] = 0.2
-
-    df_therm_new = df_therm_new.groupby(["REGION"]).sum(numeric_only=True).reset_index()
-
-    # TODO: Useful technology efficiencies will also be included
-
-    # Add the modified demand and historical activity to the scenario
-
-    # Relted technologies that have outputs to useful industry level.
-    # Historical activity of theese will be adjusted
-    tec_therm = [
-        "biomass_i",
-        "coal_i",
-        "elec_i",
-        "eth_i",
-        "foil_i",
-        "gas_i",
-        "h2_i",
-        "heat_i",
-        "hp_el_i",
-        "hp_gas_i",
-        "loil_i",
-        "meth_i",
-        "solar_i",
-    ]
-    tec_fs = [
-        "coal_fs",
-        "ethanol_fs",
-        "foil_fs",
-        "gas_fs",
-        "loil_fs",
-        "methanol_fs",
-    ]
-    tec_sp = ["sp_coal_I", "sp_el_I", "sp_eth_I", "sp_liq_I", "sp_meth_I", "h2_fc_I"]
-
-    thermal_df_hist = scen.par("historical_activity", filters={"technology": tec_therm})
-    spec_df_hist = scen.par("historical_activity", filters={"technology": tec_sp})
-    feed_df_hist = scen.par("historical_activity", filters={"technology": tec_fs})
-    useful_thermal = scen.par("demand", filters={"commodity": "i_therm"})
-    useful_spec = scen.par("demand", filters={"commodity": "i_spec"})
-    useful_feed = scen.par("demand", filters={"commodity": "i_feed"})
-
-    for r in df_therm_new["REGION"]:
-        r_MESSAGE = region_type + r
-
-        useful_thermal.loc[useful_thermal["node"] == r_MESSAGE, "value"] = (
-            useful_thermal.loc[useful_thermal["node"] == r_MESSAGE, "value"]
-            * (1 - df_therm_new.loc[df_therm_new["REGION"] == r, "i_therm"].values[0])
-        )
-
-        thermal_df_hist.loc[thermal_df_hist["node_loc"] == r_MESSAGE, "value"] = (
-            thermal_df_hist.loc[thermal_df_hist["node_loc"] == r_MESSAGE, "value"]
-            * (1 - df_therm_new.loc[df_therm_new["REGION"] == r, "i_therm"].values[0])
-        )
-
-    for r in df_spec_new["REGION"]:
-        r_MESSAGE = region_type + r
-
-        useful_spec.loc[useful_spec["node"] == r_MESSAGE, "value"] = useful_spec.loc[
-            useful_spec["node"] == r_MESSAGE, "value"
-        ] * (1 - df_spec_new.loc[df_spec_new["REGION"] == r, "i_spec"].values[0])
-
-        spec_df_hist.loc[spec_df_hist["node_loc"] == r_MESSAGE, "value"] = (
-            spec_df_hist.loc[spec_df_hist["node_loc"] == r_MESSAGE, "value"]
-            * (1 - df_spec_new.loc[df_spec_new["REGION"] == r, "i_spec"].values[0])
-        )
-
-    for r in df_feed_new["REGION"]:
-        r_MESSAGE = region_type + r
-
-        useful_feed.loc[useful_feed["node"] == r_MESSAGE, "value"] = useful_feed.loc[
-            useful_feed["node"] == r_MESSAGE, "value"
-        ] * (1 - df_feed_new.loc[df_feed_new["REGION"] == r, "i_feed"].values[0])
-
-        feed_df_hist.loc[feed_df_hist["node_loc"] == r_MESSAGE, "value"] = (
-            feed_df_hist.loc[feed_df_hist["node_loc"] == r_MESSAGE, "value"]
-            * (1 - df_feed_new.loc[df_feed_new["REGION"] == r, "i_feed"].values[0])
-        )
-
-    scen.check_out()
-    scen.add_par("demand", useful_thermal)
-    scen.add_par("demand", useful_spec)
-    scen.add_par("demand", useful_feed)
-    scen.commit("Demand values adjusted")
-
-    scen.check_out()
-    scen.add_par("historical_activity", thermal_df_hist)
-    scen.add_par("historical_activity", spec_df_hist)
-    scen.add_par("historical_activity", feed_df_hist)
-    scen.commit(
-        comment="historical activity for useful level industry \
-    technologies adjusted"
-    )
-
-    # For aluminum there is no significant deduction required
-    # (refining process not included and thermal energy required from
-    # recycling is not a significant share.)
-    # For petro: based on 13.1 GJ/tonne of ethylene and the demand in the model
-
-    # df = scen.par('demand', filters={'commodity':'i_therm'})
-    # df.value = df.value * 0.38 #(30% steel, 25% cement, 7% petro)
-    #
-    # scen.check_out()
-    # scen.add_par('demand', df)
-    # scen.commit(comment = 'modify i_therm demand')
-
-    # Adjust the i_spec.
-    # Electricity usage seems negligable in the production of HVCs.
-    # Aluminum: based on IAI China data 20%.
-
-    # df = scen.par('demand', filters={'commodity':'i_spec'})
-    # df.value = df.value * 0.80  #(20% aluminum)
-    #
-    # scen.check_out()
-    # scen.add_par('demand', df)
-    # scen.commit(comment = 'modify i_spec demand')
-
-    # Adjust the i_feedstock.
-    # 45 GJ/tonne of ethylene or propylene or BTX
-    # 2020 demand of one of these: 35.7 Mt
-    # Makes up around 30% of total feedstock demand.
-
-    # df = scen.par('demand', filters={'commodity':'i_feed'})
-    # df.value = df.value * 0.7  #(30% HVCs)
-    #
-    # scen.check_out()
-    # scen.add_par('demand', df)
-    # scen.commit(comment = 'modify i_feed demand')
-
-    # NOTE Aggregate industrial coal demand need to adjust to
-    #      the sudden intro of steel setor in the first model year
-
-    t_i = ["coal_i", "elec_i", "gas_i", "heat_i", "loil_i", "solar_i"]
-
-    for t in t_i:
-        df = scen.par("growth_activity_lo", filters={"technology": t, "year_act": 2020})
-
-        scen.check_out()
-        scen.remove_par("growth_activity_lo", df)
-        scen.commit(comment="remove growth_lo constraints")
-
-    scen.check_out()
-    for substr in ["up", "lo"]:
-        df = scen.par(f"bound_activity_{substr}")
-        scen.remove_par(
-            f"bound_activity_{substr}",
-            df[(df["technology"].str.endswith("_fs")) & (df["year_act"] == 2020)],
-        )
-        scen.remove_par(
-            f"bound_activity_{substr}",
-            df[(df["technology"].str.endswith("_i")) & (df["year_act"] == 2020)],
-        )
-        scen.remove_par(
-            f"bound_activity_{substr}",
-            df[(df["technology"].str.endswith("_I")) & (df["year_act"] == 2020)],
-        )
-    scen.commit(comment="remove bounds")
-
-
-def modify_demand_and_hist_activity_debug(
-    scen: message_ix.Scenario,
-) -> dict[str, pd.DataFrame]:
-    """modularized "dry-run" version of modify_demand_and_hist_activity() for
-     debugging purposes
-
-    Parameters
-    ----------
-    scen: message_ix.Scenario
-        scenario to used to get i_therm and i_spec parametrization
-    Returns
-    ---------
-    dict[str, pd.DataFrame]
-        three keys named like MESSAGEix-GLOBIOM codes:
-            - i_therm
-            - i_spec
-            - historical_activity
-        values are DataFrames representing the reduced residual
-        industry demands when adding MESSAGEix-Materials to a
-        MESSAGEix-GLOBIOM scenario
-    """
-
-    s_info = ScenarioInfo(scen)
-    fname = "MESSAGEix-Materials_final_energy_industry.xlsx"
-
-    if "R12_CHN" in s_info.N:
-        sheet_n = "R12"
-        region_type = "R12_"
-        region_name_CPA = "RCPA"
-        region_name_CHN = "CHN"
-    else:
-        sheet_n = "R11"
-        region_type = "R11_"
-        region_name_CPA = "CPA"
-        region_name_CHN = ""
-
-    path = package_data_path("material", "other", fname)
-    df = pd.read_excel(path, sheet_name=sheet_n, usecols="A:F")
-
-    # Filter the necessary variables
-    df = df[
-        (df["SECTOR"] == "feedstock (petrochemical industry)")
-        | (df["SECTOR"] == "feedstock (total)")
-        | (df["SECTOR"] == "industry (chemicals)")
-        | (df["SECTOR"] == "industry (iron and steel)")
-        | (df["SECTOR"] == "industry (non-ferrous metals)")
-        | (df["SECTOR"] == "industry (non-metallic minerals)")
-        | (df["SECTOR"] == "industry (total)")
-    ]
-    df = df[df["RYEAR"] == 2015]
-
-    # NOTE: Total cehmical industry energy: 27% thermal, 8% electricity, 65% feedstock
-    # SOURCE: IEA Sankey 2020: https://www.iea.org/sankey/#?c=World&s=Final%20consumption
-    # 67% of total chemicals energy is used for primary chemicals (ammonia,methnol,HVCs)
-    # SOURCE: https://www.iea.org/data-and-statistics/charts/primary-chemical-production-in-the-sustainable-development-scenario-2000-2030
-
-    # Retreive data for i_spec
-    # 67% of total chemcials electricity demand comes from primary chemicals (IEA)
-    # (Excludes petrochemicals as the share is negligable)
-    # Aluminum, cement and steel included.
-    # NOTE: Steel has high shares (previously it was not inlcuded in i_spec)
-
-    df_spec = df[
-        (df["FUEL"] == "electricity")
-        & (df["SECTOR"] != "industry (total)")
-        & (df["SECTOR"] != "feedstock (petrochemical industry)")
-        & (df["SECTOR"] != "feedstock (total)")
-    ]
-    df_spec_total = df[
-        (df["SECTOR"] == "industry (total)") & (df["FUEL"] == "electricity")
-    ]
-
-    df_spec_new = pd.DataFrame(
-        columns=["REGION", "SECTOR", "FUEL", "RYEAR", "UNIT_OUT", "RESULT"]
-    )
-    for r in df_spec["REGION"].unique():
-        df_spec_temp = df_spec.loc[df_spec["REGION"] == r]
-        df_spec_total_temp = df_spec_total.loc[df_spec_total["REGION"] == r]
-        df_spec_temp.loc[:, "i_spec"] = (
-            df_spec_temp.loc[:, "RESULT"]
-            / df_spec_total_temp.loc[:, "RESULT"].values[0]
-        )
-        df_spec_new = pd.concat([df_spec_temp, df_spec_new], ignore_index=True)
-
-    df_spec_new.drop(["FUEL", "RYEAR", "UNIT_OUT", "RESULT"], axis=1, inplace=True)
-    df_spec_new.loc[df_spec_new["SECTOR"] == "industry (chemicals)", "i_spec"] = (
-        df_spec_new.loc[df_spec_new["SECTOR"] == "industry (chemicals)", "i_spec"]
-        * 0.67
-    )
-
-    df_spec_new = df_spec_new.groupby(["REGION"]).sum().reset_index()
-
-    # Already set to zero: ammonia, methanol, HVCs cover most of the feedstock
-
-    df_feed = df[
-        (df["SECTOR"] == "feedstock (petrochemical industry)") & (df["FUEL"] == "total")
-    ]
-    # df_feed_total =
-    # df[(df["SECTOR"] == "feedstock (total)") & (df["FUEL"] == "total")]
-    df_feed_temp = pd.DataFrame(columns=["REGION", "i_feed"])
-    df_feed_new = pd.DataFrame(columns=["REGION", "i_feed"])
-
-    for r in df_feed["REGION"].unique():
-        i = 0
-        df_feed_temp.at[i, "REGION"] = r
-        df_feed_temp.at[i, "i_feed"] = 1
-        i = i + 1
-        df_feed_new = pd.concat([df_feed_temp, df_feed_new], ignore_index=True)
-
-    # Retreive data for i_therm
-    # 67% of chemical thermal energy chemicals comes from primary chemicals. (IEA)
-    # NOTE: Aluminum is excluded since refining process is not explicitly represented
-    # NOTE: CPA has a 3% share while it used to be 30% previosuly ??
-
-    df_therm = df[
-        (df["FUEL"] != "electricity")
-        & (df["FUEL"] != "total")
-        & (df["SECTOR"] != "industry (total)")
-        & (df["SECTOR"] != "feedstock (petrochemical industry)")
-        & (df["SECTOR"] != "feedstock (total)")
-        & (df["SECTOR"] != "industry (non-ferrous metals)")
-    ]
-    df_therm_total = df[
-        (df["SECTOR"] == "industry (total)")
-        & (df["FUEL"] != "total")
-        & (df["FUEL"] != "electricity")
-    ]
-    df_therm_total = (
-        df_therm_total.groupby(by="REGION").sum().drop(["RYEAR"], axis=1).reset_index()
-    )
-    df_therm = (
-        df_therm.groupby(by=["REGION", "SECTOR"])
-        .sum()
-        .drop(["RYEAR"], axis=1)
-        .reset_index()
-    )
-    df_therm_new = pd.DataFrame(
-        columns=["REGION", "SECTOR", "FUEL", "RYEAR", "UNIT_OUT", "RESULT"]
-    )
-
-    for r in df_therm["REGION"].unique():
-        df_therm_temp = df_therm.loc[df_therm["REGION"] == r]
-        df_therm_total_temp = df_therm_total.loc[df_therm_total["REGION"] == r]
-        df_therm_temp.loc[:, "i_therm"] = (
-            df_therm_temp.loc[:, "RESULT"]
-            / df_therm_total_temp.loc[:, "RESULT"].values[0]
-        )
-        df_therm_new = pd.concat([df_therm_temp, df_therm_new], ignore_index=True)
-        df_therm_new = df_therm_new.drop(["RESULT"], axis=1)
-
-    df_therm_new.drop(["FUEL", "RYEAR", "UNIT_OUT"], axis=1, inplace=True)
-    df_therm_new.loc[df_therm_new["SECTOR"] == "industry (chemicals)", "i_therm"] = (
-        df_therm_new.loc[df_therm_new["SECTOR"] == "industry (chemicals)", "i_therm"]
-        * 0.67
-    )
-
-    # Modify CPA based on https://www.iea.org/sankey/#?c=Japan&s=Final%20consumption.
-    # Since the value did not allign with the one in the IEA website.
-    index = (df_therm_new["SECTOR"] == "industry (iron and steel)") & (
-        (df_therm_new["REGION"] == region_name_CPA)
-        | (df_therm_new["REGION"] == region_name_CHN)
-    )
-
-    df_therm_new.loc[index, "i_therm"] = 0.2
-
-    df_therm_new = df_therm_new.groupby(["REGION"]).sum(numeric_only=True).reset_index()
-
-    # TODO: Useful technology efficiencies will also be included
-
-    # Add the modified demand and historical activity to the scenario
-
-    # Relted technologies that have outputs to useful industry level.
-    # Historical activity of theese will be adjusted
-    tec_therm = [
-        "biomass_i",
-        "coal_i",
-        "elec_i",
-        "eth_i",
-        "foil_i",
-        "gas_i",
-        "h2_i",
-        "heat_i",
-        "hp_el_i",
-        "hp_gas_i",
-        "loil_i",
-        "meth_i",
-        "solar_i",
-    ]
-    tec_fs = [
-        "coal_fs",
-        "ethanol_fs",
-        "foil_fs",
-        "gas_fs",
-        "loil_fs",
-        "methanol_fs",
-    ]
-    tec_sp = ["sp_coal_I", "sp_el_I", "sp_eth_I", "sp_liq_I", "sp_meth_I", "h2_fc_I"]
-
-    thermal_df_hist = scen.par("historical_activity", filters={"technology": tec_therm})
-    spec_df_hist = scen.par("historical_activity", filters={"technology": tec_sp})
-    feed_df_hist = scen.par("historical_activity", filters={"technology": tec_fs})
-    useful_thermal = scen.par("demand", filters={"commodity": "i_therm"})
-    useful_spec = scen.par("demand", filters={"commodity": "i_spec"})
-    useful_feed = scen.par("demand", filters={"commodity": "i_feed"})
-
-    for r in df_therm_new["REGION"]:
-        r_MESSAGE = region_type + r
-
-        useful_thermal.loc[useful_thermal["node"] == r_MESSAGE, "value"] = (
-            useful_thermal.loc[useful_thermal["node"] == r_MESSAGE, "value"]
-            * (1 - df_therm_new.loc[df_therm_new["REGION"] == r, "i_therm"].values[0])
-        )
-
-        thermal_df_hist.loc[thermal_df_hist["node_loc"] == r_MESSAGE, "value"] = (
-            thermal_df_hist.loc[thermal_df_hist["node_loc"] == r_MESSAGE, "value"]
-            * (1 - df_therm_new.loc[df_therm_new["REGION"] == r, "i_therm"].values[0])
-        )
-
-    for r in df_spec_new["REGION"]:
-        r_MESSAGE = region_type + r
-
-        useful_spec.loc[useful_spec["node"] == r_MESSAGE, "value"] = useful_spec.loc[
-            useful_spec["node"] == r_MESSAGE, "value"
-        ] * (1 - df_spec_new.loc[df_spec_new["REGION"] == r, "i_spec"].values[0])
-
-        spec_df_hist.loc[spec_df_hist["node_loc"] == r_MESSAGE, "value"] = (
-            spec_df_hist.loc[spec_df_hist["node_loc"] == r_MESSAGE, "value"]
-            * (1 - df_spec_new.loc[df_spec_new["REGION"] == r, "i_spec"].values[0])
-        )
-
-    for r in df_feed_new["REGION"]:
-        r_MESSAGE = region_type + r
-
-        useful_feed.loc[useful_feed["node"] == r_MESSAGE, "value"] = useful_feed.loc[
-            useful_feed["node"] == r_MESSAGE, "value"
-        ] * (1 - df_feed_new.loc[df_feed_new["REGION"] == r, "i_feed"].values[0])
-
-        feed_df_hist.loc[feed_df_hist["node_loc"] == r_MESSAGE, "value"] = (
-            feed_df_hist.loc[feed_df_hist["node_loc"] == r_MESSAGE, "value"]
-            * (1 - df_feed_new.loc[df_feed_new["REGION"] == r, "i_feed"].values[0])
-        )
-
-    # For aluminum there is no significant deduction required
-    # (refining process not included and thermal energy required from
-    # recycling is not a significant share.)
-    # For petro: based on 13.1 GJ/tonne of ethylene and the demand in the model
-
-    # df = scen.par('demand', filters={'commodity':'i_therm'})
-    # df.value = df.value * 0.38 #(30% steel, 25% cement, 7% petro)
-    #
-    # scen.check_out()
-    # scen.add_par('demand', df)
-    # scen.commit(comment = 'modify i_therm demand')
-
-    # Adjust the i_spec.
-    # Electricity usage seems negligable in the production of HVCs.
-    # Aluminum: based on IAI China data 20%.
-
-    # df = scen.par('demand', filters={'commodity':'i_spec'})
-    # df.value = df.value * 0.80  #(20% aluminum)
-    #
-    # scen.check_out()
-    # scen.add_par('demand', df)
-    # scen.commit(comment = 'modify i_spec demand')
-
-    # Adjust the i_feedstock.
-    # 45 GJ/tonne of ethylene or propylene or BTX
-    # 2020 demand of one of these: 35.7 Mt
-    # Makes up around 30% of total feedstock demand.
-
-    # df = scen.par('demand', filters={'commodity':'i_feed'})
-    # df.value = df.value * 0.7  #(30% HVCs)
-    #
-    # scen.check_out()
-    # scen.add_par('demand', df)
-    # scen.commit(comment = 'modify i_feed demand')
-
-    # NOTE Aggregate industrial coal demand need to adjust to
-    #      the sudden intro of steel setor in the first model year
-    return {
-        "i_therm": useful_thermal,
-        "i_spec": useful_spec,
-        "historical_activity": pd.concat([thermal_df_hist, spec_df_hist, feed_df_hist]),
-    }
-
-
 def modify_baseyear_bounds(scen: message_ix.Scenario) -> None:
     # TODO: instead of removing bounds, bounds should be updated with IEA data
     scen.check_out()
+    th_tecs_to_keep = ["solar_i", "biomass_i"]
     for substr in ["up", "lo"]:
         df = scen.par(f"bound_activity_{substr}")
         scen.remove_par(
@@ -747,7 +87,11 @@ def modify_baseyear_bounds(scen: message_ix.Scenario) -> None:
         )
         scen.remove_par(
             f"bound_activity_{substr}",
-            df[(df["technology"].str.endswith("_i")) & (df["year_act"] == 2020)],
+            df[
+                (df["technology"].str.endswith("_i"))
+                & (df["year_act"] == 2020)
+                & ~(df["technology"].isin(th_tecs_to_keep))
+            ],
         )
         scen.remove_par(
             f"bound_activity_{substr}",
@@ -756,160 +100,6 @@ def modify_baseyear_bounds(scen: message_ix.Scenario) -> None:
     scen.commit(comment="remove base year industry tec bounds")
 
 
-def calc_hist_activity(
-    scen: message_ix.Scenario, years: list, iea_data_path
-) -> pd.DataFrame:
-    df_orig = get_hist_act_data(
-        "all_technologies.csv", years=years, iea_data_path=iea_data_path
-    )
-    df_mat = get_hist_act_data("industry.csv", years=years, iea_data_path=iea_data_path)
-    df_chem = get_hist_act_data(
-        "chemicals.csv", years=years, iea_data_path=iea_data_path
-    )
-
-    # RFE: move hardcoded assumptions (chemicals and iron and steel)
-    #  to external data files
-
-    # scale chemical activity to deduct explicitly
-    # represented activities of MESSAGEix-Materials
-    # (67% are covered by NH3, HVCs and methanol)
-    df_chem = df_chem.mul(0.67)
-    df_mat = df_mat.sub(df_chem, fill_value=0)
-
-    # calculate share of residual activity not covered
-    # by industry sector explicit technologies
-    df = df_mat.div(df_orig).dropna().sort_values("Value", ascending=False)
-    # manually set elec_i to 0 since all of it is covered by iron/steel sector
-    df.loc[:, "elec_i", :] = 0
-
-    df = df.round(5)
-    df.index.set_names(["node_loc", "technology", "year_act"], inplace=True)
-
-    tecs = df.index.get_level_values("technology").unique()
-    df_hist_act = scen.par(
-        "historical_activity", filters={"technology": tecs, "year_act": years}
-    )
-
-    df_hist_act_scaled = (
-        df_hist_act.set_index([i for i in df_hist_act.columns if i != "value"])
-        .mul(df.rename({"Value": "value"}, axis=1))
-        .dropna()
-    )
-
-    return df_hist_act_scaled.reset_index()
-
-
-def add_new_ind_hist_act(scen: message_ix.Scenario, years: list, iea_data_path) -> None:
-    df_act = calc_hist_activity(scen, years, iea_data_path)
-    scen.check_out()
-    scen.add_par("historical_activity", df_act)
-    scen.commit("adjust historical activity of industrial end use tecs")
-
-
-def calc_demand_shares(iea_db_df: pd.DataFrame, base_year: int) -> pd.DataFrame:
-    # RFE: refactor to use external mapping file (analogue to calc_hist_activity())
-    i_spec_material_flows = ["NONMET", "CHEMICAL", "NONFERR"]
-    i_therm_material_flows = ["NONMET", "CHEMICAL", "IRONSTL"]
-    i_flow = ["TOTIND"]
-    i_spec_prods = ["ELECTR", "NONBIODIES", "BIOGASOL"]
-    year = base_year
-
-    df_i_spec = iea_db_df[
-        (iea_db_df["FLOW"].isin(i_flow))
-        & (iea_db_df["PRODUCT"].isin(i_spec_prods))
-        & ~((iea_db_df["PRODUCT"] == ("ELECTR")) & (iea_db_df["FLOW"] == "IRONSTL"))
-        & (iea_db_df["TIME"] == year)
-    ]
-    df_i_spec = df_i_spec.groupby("REGION").sum(numeric_only=True)
-
-    df_i_spec_materials = iea_db_df[
-        (iea_db_df["FLOW"].isin(i_spec_material_flows))
-        & (iea_db_df["PRODUCT"].isin(i_spec_prods))
-        & (iea_db_df["TIME"] == year)
-    ]
-    df_i_spec_materials = df_i_spec_materials.groupby("REGION").sum(numeric_only=True)
-
-    df_i_spec_resid_shr = (
-        df_i_spec_materials.div(df_i_spec, fill_value=0).sub(1).mul(-1)
-    )
-    df_i_spec_resid_shr["commodity"] = "i_spec"
-
-    df_elec_i = iea_db_df[
-        ((iea_db_df["PRODUCT"] == ("ELECTR")) & (iea_db_df["FLOW"] == "IRONSTL"))
-        & (iea_db_df["TIME"] == year)
-    ]
-    df_elec_i = df_elec_i.groupby("REGION").sum(numeric_only=True)
-
-    agg_prods = ["MRENEW", "TOTAL"]
-    df_i_therm = iea_db_df[
-        (iea_db_df["FLOW"].isin(i_flow))
-        & ~(iea_db_df["PRODUCT"].isin(i_spec_prods))
-        & ~(iea_db_df["PRODUCT"].isin(agg_prods))
-        & (iea_db_df["TIME"] == year)
-    ]
-    df_i_therm = df_i_therm.groupby("REGION").sum(numeric_only=True)
-    df_i_therm = df_i_therm.add(df_elec_i, fill_value=0)
-
-    agg_prods = ["MRENEW", "TOTAL"]
-    df_i_therm_materials = iea_db_df[
-        (iea_db_df["FLOW"].isin(i_therm_material_flows))
-        & ~(iea_db_df["PRODUCT"].isin(i_spec_prods))
-        & ~(iea_db_df["PRODUCT"].isin(agg_prods))
-        & (iea_db_df["TIME"] == year)
-    ]
-    df_i_therm_materials = df_i_therm_materials.groupby(["REGION", "FLOW"]).sum(
-        numeric_only=True
-    )
-    # only two thirds of chemical consumption is represented
-    # by Materials module currently
-    df_i_therm_materials.loc[
-        df_i_therm_materials.index.get_level_values(1) == "CHEMICAL", "Value"
-    ] *= 0.67
-
-    df_i_therm_materials = df_i_therm_materials.groupby("REGION").sum(numeric_only=True)
-    df_i_therm_materials = df_i_therm_materials.add(df_elec_i, fill_value=0)
-
-    df_i_therm_resid_shr = df_i_therm_materials.div(df_i_therm).sub(1).mul(-1)
-    df_i_therm_resid_shr["commodity"] = "i_therm"
-
-    return (
-        pd.concat([df_i_spec_resid_shr, df_i_therm_resid_shr])
-        .set_index("commodity", append=True)
-        .drop("TIME", axis=1)
-    )
-
-
-def calc_resid_ind_demand(
-    scen: message_ix.Scenario, baseyear: int, iea_data_path: str
-) -> pd.DataFrame:
-    comms = ["i_spec", "i_therm"]
-    path = os.path.join(iea_data_path, "REV2022_allISO_IEA.parquet")
-    Inp = pd.read_parquet(path, engine="fastparquet")
-    Inp = map_iea_db_to_msg_regs(Inp)
-    demand_shrs_new = calc_demand_shares(pd.DataFrame(Inp), baseyear)
-    df_demands = scen.par("demand", filters={"commodity": comms}).set_index(
-        ["node", "commodity", "year"]
-    )
-    demand_shrs_new.index.set_names(["node", "commodity"], inplace=True)
-    df_demands["value"] = df_demands["value"] * demand_shrs_new["Value"]
-    return df_demands.reset_index()
-
-
-def modify_industry_demand(
-    scen: message_ix.Scenario, baseyear: int, iea_data_path: str
-) -> None:
-    df_demands_new = calc_resid_ind_demand(scen, baseyear, iea_data_path)
-    scen.check_out()
-    scen.add_par("demand", df_demands_new)
-
-    # RFE: calculate deductions from IEA data instead
-    #  of assuming full coverage by MESSAGE-Materials (chemicals)
-    # remove i_spec demand separately since we assume 100% coverage by MESSAGE-Materials
-    df_i_feed = scen.par("demand", filters={"commodity": "i_feed"})
-    scen.remove_par("demand", df_i_feed)
-    scen.commit("adjust residual industry demands")
-
-
 @lru_cache
 def get_region_map() -> Mapping[str, str]:
     """Construct a mapping from "COUNTRY" IDs to regions (nodes in the "R12" codelist).
@@ -1012,54 +202,230 @@ def read_iea_tec_map(tec_map_fname: str) -> pd.DataFrame:
     return MAP
 
 
-def get_hist_act_data(
-    map_fname: str, years: list or None = None, iea_data_path: str | None = None
+def read_sector_data(
+    scenario: message_ix.Scenario, sectname: str, ssp: str, filename: str
 ) -> pd.DataFrame:
     """
-    reads IEA DB, maps and aggregates variables to MESSAGE technologies
+    Read sector data for industry with sectname
 
     Parameters
     ----------
-    map_fname
-        name of MESSAGEix-technology-to-IEA-flow/product mapping file
-    years
-        specifies timesteps for whom historical activity should
-        be calculated and returned
+    scenario: message_ix.Scenario
+
+    sectname: sectname
+        name of industry sector
+
     Returns
     -------
     pd.DataFrame
 
     """
-    path = os.path.join(iea_data_path, "REV2022_allISO_IEA.parquet")
-    iea_enb_df = pd.read_parquet(path, engine="fastparquet")
-    if years:
-        iea_enb_df = iea_enb_df[iea_enb_df["TIME"].isin(years)]
-
-    # map IEA countries to MESSAGE region definition
-    iea_enb_df = map_iea_db_to_msg_regs(iea_enb_df)
+    # Read in technology-specific parameters from input xlsx
+    # Now used for steel and cement, which are in one file
 
-    # read file for IEA product/flow - MESSAGE technologies map
-    MAP = read_iea_tec_map(map_fname)
+    import numpy as np
 
-    # map IEA flows to MESSAGE technologies and aggregate
-    df_final = iea_enb_df.set_index(["PRODUCT", "FLOW"]).join(
-        MAP.set_index(["PRODUCT", "FLOW"])
-    )
+    s_info = ScenarioInfo(scenario)
 
-    # multiply with efficiency and sector coverage ratios
+    if "R12_CHN" in s_info.N:
+        sheet_n = sectname + "_R12"
+    else:
+        sheet_n = sectname + "_R11"
 
-    df_final = (
-        df_final.drop_duplicates()
-        .groupby(["REGION", "technology", "TIME"])
-        .sum(numeric_only=True)
+    # data_df = data_steel_china.append(data_cement_china, ignore_index=True)
+    data_df = pd.read_excel(
+        package_data_path("material", sectname, ssp, filename),
+        sheet_name=sheet_n,
     )
-    return df_final
-
 
-def add_emission_accounting(scen: message_ix.Scenario) -> None:
-    """
+    # Clean the data
+    data_df = data_df[
+        [
+            "Region",
+            "Technology",
+            "Parameter",
+            "Level",
+            "Commodity",
+            "Mode",
+            "Species",
+            "Units",
+            "Value",
+        ]
+    ].replace(np.nan, "", regex=True)
 
-    Parameters
+    # Combine columns and remove ''
+    list_series = (
+        data_df[["Parameter", "Commodity", "Level", "Mode"]]
+        .apply(list, axis=1)
+        .apply(lambda x: list(filter(lambda a: a != "", x)))
+    )
+    list_ef = data_df[["Parameter", "Species", "Mode"]].apply(list, axis=1)
+
+    data_df["parameter"] = list_series.str.join("|")
+    data_df.loc[data_df["Parameter"] == "emission_factor", "parameter"] = (
+        list_ef.str.join("|")
+    )
+
+    data_df = data_df.drop(["Parameter", "Level", "Commodity", "Mode"], axis=1)
+    data_df = data_df.drop(data_df[data_df.Value == ""].index)
+
+    data_df.columns = data_df.columns.str.lower()
+
+    # Unit conversion
+
+    # At the moment this is done in the excel file, can be also done here
+    # To make sure we use the same units
+
+    return data_df
+
+
+def read_timeseries(
+    scenario: message_ix.Scenario, material: str, ssp: str or None, filename: str
+) -> pd.DataFrame:
+    """
+    Read "timeseries" type data from a sector specific xlsx input file
+    to DataFrame and format according to MESSAGEix standard
+
+    Parameters
+    ----------
+    ssp: str
+        if timeseries is available for different SSPs, the respective file is selected
+    scenario: message_ix.Scenario
+        scenario used to get structural information like
+        model regions and years
+    material: str
+        name of material folder where xlsx is located
+    filename:
+        name of xlsx file
+
+    Returns
+    -------
+    pd.DataFrame
+        DataFrame containing the timeseries data for MESSAGEix parameters
+    """
+    # Ensure config is loaded, get the context
+    s_info = ScenarioInfo(scenario)
+
+    # if context.scenario_info['scenario'] == 'NPi400':
+    #     sheet_name="timeseries_NPi400"
+    # else:
+    #     sheet_name = "timeseries"
+
+    if "R12_CHN" in s_info.N:
+        sheet_n = "timeseries_R12"
+    else:
+        sheet_n = "timeseries_R11"
+
+    material = f"{material}/{ssp}" if ssp else material
+    # Read the file
+
+    df = pd.read_excel(
+        package_data_path("material", material, filename), sheet_name=sheet_n
+    )
+
+    import numbers
+
+    # Take only existing years in the data
+    datayears = [x for x in list(df) if isinstance(x, numbers.Number)]
+
+    df = pd.melt(
+        df,
+        id_vars=[
+            "parameter",
+            "region",
+            "technology",
+            "mode",
+            "units",
+            "commodity",
+            "level",
+        ],
+        value_vars=datayears,
+        var_name="year",
+    )
+
+    df = df.drop(df[np.isnan(df.value)].index)
+    return df
+
+
+def read_rel(
+    scenario: message_ix.Scenario, material: str, ssp: str or None, filename: str
+) -> pd.DataFrame:
+    """
+    Read relation_* type parameter data for specific industry
+
+    Parameters
+    ----------
+    ssp: str
+        if relations are available for different SSPs, the respective file is selected
+    scenario:
+        scenario used to get structural information like
+    material: str
+        name of material folder where xlsx is located
+    filename:
+        name of xlsx file
+
+    Returns
+    -------
+    pd.DataFrame
+        DataFrame containing relation_* parameter data
+    """
+    # Ensure config is loaded, get the context
+
+    s_info = ScenarioInfo(scenario)
+
+    if "R12_CHN" in s_info.N:
+        sheet_n = "relations_R12"
+    else:
+        sheet_n = "relations_R11"
+    material = f"{material}/{ssp}" if ssp else material
+    # Read the file
+    data_rel = pd.read_excel(
+        package_data_path("material", material, filename),
+        sheet_name=sheet_n,
+    )
+
+    return data_rel
+
+
+def add_cement_ccs_co2_tr_relation(scen: message_ix.Scenario) -> None:
+    """Adds the relevant CCS technologies to the co2_trans_disp and bco2_trans_disp
+    relations
+
+    Parameters
+    ----------
+    scen: message_ix.Scenario
+        Scenario instance to add CCS emission factor parametrization to
+    """
+
+    # The relation coefficients for CO2_Emision and bco2_trans_disp and
+    # co2_trans_disp are both MtC. The emission factor for CCS add_ccs_technologies
+    # are specified in MtC as well.
+    co2_trans_relation = scen.par(
+        "emission_factor",
+        filters={
+            "technology": [
+                "clinker_dry_ccs_cement",
+                "clinker_wet_ccs_cement",
+            ],
+            "emission": "CO2",
+        },
+    )
+
+    co2_trans_relation.drop(["year_vtg", "emission", "unit"], axis=1, inplace=True)
+    co2_trans_relation["relation"] = "co2_trans_disp"
+    co2_trans_relation["node_rel"] = co2_trans_relation["node_loc"]
+    co2_trans_relation["year_rel"] = co2_trans_relation["year_act"]
+    co2_trans_relation["unit"] = "???"
+
+    scen.check_out()
+    scen.add_par("relation_activity", co2_trans_relation)
+    scen.commit("New CCS technologies added to the CO2 accounting relations.")
+
+
+def add_emission_accounting(scen):
+    """
+
+    Parameters
     ----------
     scen
     """
@@ -1616,7 +982,7 @@ def add_coal_lowerbound_2020(sc: message_ix.Scenario) -> None:
 
     # add parameter dataframes to ixmp
     sc.add_par("bound_activity_lo", bound_coal)
-    sc.add_par("bound_activity_lo", bound_cement_coal)
+    # sc.add_par("bound_activity_lo", bound_cement_coal)
     sc.add_par("bound_activity_lo", bound_residual_electricity)
 
     # commit scenario to ixmp backend
@@ -1836,7 +1202,7 @@ def add_cement_bounds_2020(sc: message_ix.Scenario) -> None:
     # add parameter dataframes to ixmp
     sc.add_par("bound_activity_up", bound_cement_loil)
     sc.add_par("bound_activity_up", bound_cement_foil)
-    sc.add_par("bound_activity_lo", bound_cement_gas)
+    # sc.add_par("bound_activity_lo", bound_cement_gas)
     sc.add_par("bound_activity_up", bound_cement_gas)
     sc.add_par("bound_activity_up", bound_cement_biomass)
     sc.add_par("bound_activity_up", bound_cement_coal)
@@ -1877,83 +1243,6 @@ def add_cement_bounds_2020(sc: message_ix.Scenario) -> None:
     sc.commit("added lower and upper bound for fuels for cement 2020.")
 
 
-def read_sector_data(
-    scenario: message_ix.Scenario, sectname: str, file: str
-) -> pd.DataFrame:
-    """
-    Read sector data for industry with sectname
-
-    Parameters
-    ----------
-    scenario: message_ix.Scenario
-
-    sectname: sectname
-        name of industry sector
-
-    Returns
-    -------
-    pd.DataFrame
-
-    """
-    # Read in technology-specific parameters from input xlsx
-    # Now used for steel and cement, which are in one file
-
-    import numpy as np
-
-    s_info = ScenarioInfo(scenario)
-
-    if "R12_CHN" in s_info.N:
-        sheet_n = sectname + "_R12"
-    else:
-        sheet_n = sectname + "_R11"
-
-    # data_df = data_steel_china.append(data_cement_china, ignore_index=True)
-    data_df = pd.read_excel(
-        package_data_path("material", sectname, file),
-        sheet_name=sheet_n,
-    )
-
-    # Clean the data
-    data_df = data_df[
-        [
-            "Region",
-            "Technology",
-            "Parameter",
-            "Level",
-            "Commodity",
-            "Mode",
-            "Species",
-            "Units",
-            "Value",
-        ]
-    ].replace(np.nan, "", regex=True)
-
-    # Combine columns and remove ''
-    list_series = (
-        data_df[["Parameter", "Commodity", "Level", "Mode"]]
-        .apply(list, axis=1)
-        .apply(lambda x: list(filter(lambda a: a != "", x)))
-    )
-    list_ef = data_df[["Parameter", "Species", "Mode"]].apply(list, axis=1)
-
-    data_df["parameter"] = list_series.str.join("|")
-    data_df.loc[data_df["Parameter"] == "emission_factor", "parameter"] = (
-        list_ef.str.join("|")
-    )
-
-    data_df = data_df.drop(["Parameter", "Level", "Commodity", "Mode"], axis=1)
-    data_df = data_df.drop(data_df[data_df.Value == ""].index)
-
-    data_df.columns = data_df.columns.str.lower()
-
-    # Unit conversion
-
-    # At the moment this is done in the excel file, can be also done here
-    # To make sure we use the same units
-
-    return data_df
-
-
 def add_ccs_technologies(scen: message_ix.Scenario) -> None:
     """Adds the relevant CCS technologies to the co2_trans_disp and bco2_trans_disp
     relations
@@ -2004,114 +1293,12 @@ def add_ccs_technologies(scen: message_ix.Scenario) -> None:
     scen.commit("New CCS technologies added to the CO2 accounting relations.")
 
 
-# Read in time-dependent parameters
-def read_timeseries(
-    scenario: message_ix.Scenario, material: str, filename: str
-) -> pd.DataFrame:
-    """
-    Read "timeseries" type data from a sector specific xlsx input file
-    to DataFrame and format according to MESSAGEix standard
-
-    Parameters
-    ----------
-    scenario: message_ix.Scenario
-        scenario used to get structural information like
-        model regions and years
-    material: str
-        name of material folder where xlsx is located
-    filename:
-        name of xlsx file
-
-    Returns
-    -------
-    pd.DataFrame
-        DataFrame containing the timeseries data for MESSAGEix parameters
-    """
-    # Ensure config is loaded, get the context
-    s_info = ScenarioInfo(scenario)
-
-    # if context.scenario_info['scenario'] == 'NPi400':
-    #     sheet_name="timeseries_NPi400"
-    # else:
-    #     sheet_name = "timeseries"
-
-    if "R12_CHN" in s_info.N:
-        sheet_n = "timeseries_R12"
-    else:
-        sheet_n = "timeseries_R11"
-
-    # Read the file
-    df = pd.read_excel(
-        package_data_path("material", material, filename), sheet_name=sheet_n
-    )
-
-    import numbers
-
-    # Take only existing years in the data
-    datayears = [x for x in list(df) if isinstance(x, numbers.Number)]
-
-    df = pd.melt(
-        df,
-        id_vars=[
-            "parameter",
-            "region",
-            "technology",
-            "mode",
-            "units",
-            "commodity",
-            "level",
-        ],
-        value_vars=datayears,
-        var_name="year",
-    )
-
-    df = df.drop(df[np.isnan(df.value)].index)
-    return df
-
-
-def read_rel(
-    scenario: message_ix.Scenario, material: str, filename: str
-) -> pd.DataFrame:
-    """
-    Read relation_* type parameter data for specific industry
-
-    Parameters
-    ----------
-    scenario:
-        scenario used to get structural information like
-    material: str
-        name of material folder where xlsx is located
-    filename:
-        name of xlsx file
-
-    Returns
-    -------
-    pd.DataFrame
-        DataFrame containing relation_* parameter data
-    """
-    # Ensure config is loaded, get the context
-
-    s_info = ScenarioInfo(scenario)
-
-    if "R12_CHN" in s_info.N:
-        sheet_n = "relations_R12"
-    else:
-        sheet_n = "relations_R11"
-
-    # Read the file
-    data_rel = pd.read_excel(
-        package_data_path("material", material, filename),
-        sheet_name=sheet_n,
-    )
-
-    return data_rel
-
-
 def gen_te_projections(
     scen: message_ix.Scenario,
     ssp: Literal["all", "LED", "SSP1", "SSP2", "SSP3", "SSP4", "SSP5"] = "SSP2",
     method: Literal["constant", "convergence", "gdp"] = "convergence",
     ref_reg: str = "R12_NAM",
+    module="materials",
 ) -> tuple[pd.DataFrame, pd.DataFrame]:
     """
     Calls message_ix_models.tools.costs with config for MESSAGEix-Materials
@@ -2136,7 +1323,7 @@ def gen_te_projections(
     """
     model_tec_set = list(scen.set("technology"))
     cfg = Config(
-        module="materials",
+        module=module,
         ref_region=ref_reg,
         method=method,
         format="message",
@@ -2224,7 +1411,7 @@ def add_elec_i_ini_act(scenario: message_ix.Scenario) -> None:
 
 
 def calculate_ini_new_cap(
-    df_demand: pd.DataFrame, technology: str, material: str
+    df_demand: pd.DataFrame, technology: str, material: str, ssp: str
 ) -> pd.DataFrame:
     """
     Derive initial_new_capacity_up parametrization for CCS based on cement demand
@@ -2242,11 +1429,572 @@ def calculate_ini_new_cap(
     DataFrame formatted to "initial_new_capacity_up" columns
     """
 
-    SCALER = 0.005
+    if ssp in ["LED", "SSP1", "SSP2"]:
+        if material == "cement":
+            SCALER = 0.001
+            CLINKER_RATIO = 0.72
+        if material == "steel":
+            SCALER = 0.002
+            CLINKER_RATIO= 1
+    elif ssp in ["SSP4", "SSP5"]:
+        if material == "cement":
+            SCALER = 0.002
+            CLINKER_RATIO = 0.72
+        if material == "steel":
+            SCALER = 0.003
+            CLINKER_RATIO = 1
+    elif ssp == "SSP3":
+        if material == "cement":
+            SCALER = 0.0008
+            CLINKER_RATIO = 0.72
+        if material == "steel":
+            SCALER = 0.001
+            CLINKER_RATIO = 1
 
-    CLINKER_RATIO = 0.72 if material == "cement" else 1
     df_demand["value"] *= CLINKER_RATIO * SCALER
 
     df_demand = df_demand.rename(columns={"node": "node_loc", "year": "year_vtg"})
     df_demand["technology"] = technology
     return make_df("initial_new_capacity_up", **df_demand)
+
+
+def calibrate_t_d_tecs(scenario: "Scenario"):
+    # ------------------------------------------------------
+    # Revise t_d historical_activity and 2020 activity bounds
+    # ------------------------------------------------------
+
+    # The activity of the t_d technologies is adjusted to fit
+    # with the historical_activity/bda_lo calibration for all
+    # technologies which take from the output commodity/level.
+
+    tecs = [t for t in scenario.set("technology").tolist() if t.find("t_d") >= 0]
+    td = (
+        scenario.par("output", filters={"technology": tecs})[
+            ["node_loc", "technology", "commodity", "level"]
+        ]
+        .drop_duplicates()
+        .reset_index()
+        .drop("index", axis=1)
+    )
+    update_df = pd.DataFrame()
+    for i in td.index:
+        try:
+            row = td.iloc[i]
+        except:
+            here = 1
+        # Retrieve input of techologies which take from the commodity/level.
+        inp = scenario.par(
+            "input",
+            filters={
+                "node_loc": row.node_loc,
+                "commodity": row.commodity,
+                "level": row.level,
+            },
+        )
+
+        # Retrieve historical and calibrated activity as bound_activity_lo
+        # and combine the two.
+        histact = scenario.par(
+            "historical_activity",
+            filters={
+                "node_loc": row.node_loc,
+                "technology": inp.technology.unique().tolist(),
+            },
+        )
+        act = scenario.par(
+            "bound_activity_lo",
+            filters={
+                "node_loc": row.node_loc,
+                "technology": inp.technology.unique().tolist(),
+                "year_act": 2020,
+            },
+        )
+
+        act = (
+            pd.concat([histact, act])
+            .sort_values(by=["node_loc", "technology", "year_act"])
+            .set_index(["node_loc", "technology", "year_act"])
+        )
+
+        # Multiply the activity data with the input efficiencies to derive total energy
+        # requirements
+        act["eff"] = (
+            inp.loc[
+                (inp.year_vtg == inp.year_act)
+                & (inp.node_loc == row.node_loc)
+                & (inp.technology.isin(act.reset_index().technology.unique().tolist()))
+                & (inp.year_act.isin(act.reset_index().year_act.unique().tolist()))
+            ]
+            .set_index(["node_loc", "technology", "year_act"])
+            .value
+        )
+
+        # Backfill any missing values
+        act["eff"] = act["eff"].bfill()
+
+        act["fe"] = act["eff"] * act["value"]
+
+        # Aggregate the final energy data and assign the t_d technology name
+        df = act.copy()
+        df = (
+            df.reset_index()
+            .groupby(["node_loc", "year_act"])
+            .sum(numeric_only=True)[["fe"]]
+            .rename(columns={"fe": "value"})
+            .assign(unit="GWa", technology=row.technology, mode="M1", time="year")
+            .reset_index()
+        )
+
+        update_df = pd.concat([update_df, df])
+
+    update_df = update_df.reset_index().drop("index", axis=1)
+
+    # Make a manual adjusment to "gas_t_d_ch4".
+    # Because is has the same output as "gas_t_d", it will also get the
+    # the same historical_acitivty, therefore it is set to zero.
+    update_df.loc[update_df.technology == "gas_t_d_ch4", "value"] = 0
+
+    # Add data as historical_activity and bound_activity_lo/up (*1.005)
+    with scenario.transact("Calibrate t_d technology"):
+        hist_df = update_df.copy()
+        hist_df = hist_df.loc[hist_df.year_act < scenario.firstmodelyear]
+        scenario.add_par("historical_activity", hist_df)
+
+        scenario.add_par("bound_activity_lo", update_df)
+        update_df.value *= 1.005
+        scenario.add_par("bound_activity_up", update_df)
+
+
+def add_water_par_data(scenario: "Scenario") -> None:
+    """Adds water supply technologies that are required for the Materials build
+
+    Parameters
+    ----------
+    scenario: .Scenario
+        instance to check for water technologies and add if missing
+    """
+    scenario.check_out()
+    water_dict = pd.read_excel(
+        package_data_path("material", "other", "water_tec_pars.xlsx"),
+        sheet_name=None,
+    )
+    for par in water_dict.keys():
+        scenario.add_par(par, water_dict[par])
+    scenario.commit("add missing water tecs")
+
+
+def calibrate_for_SSPs(scenario: "Scenario") -> None:
+    """Adjust technologies activity bounds and growth constraints to avoid base year
+    infeasibilities in year 2020. Specifically developed for the SSP_dev scenarios,
+    where most technology activities are fixed in 2020.
+
+    Parameters
+    ----------
+    scenario: .Scenario
+        instance to apply parameter changes to
+    """
+    add_elec_i_ini_act(scenario)
+
+    # prohibit electric clinker kilns in first decade
+    common = {
+        "technology": "furnace_elec_cement",
+        "mode": ["high_temp", "low_temp"],
+        "time": "year",
+        "value": 0,
+        "unit": "GWa",
+        "year_act": [2020, 2025],
+    }
+    s_info = ScenarioInfo(scenario)
+    scenario.check_out()
+    scenario.add_par(
+        "bound_activity_up",
+        make_df("bound_activity_up", **common).pipe(
+            broadcast, node_loc=nodes_ex_world(s_info.N)
+        ),
+    )
+    # enforce FSU gas use in clinker kilns in 2020
+    common = {
+        "technology": "furnace_gas_cement",
+        "mode": "high_temp",
+        "time": "year",
+        "value": 6.5,
+        "unit": "GWa",
+        "year_act": 2020,
+        "node_loc": "R12_FSU",
+    }
+    scenario.add_par("bound_activity_lo", make_df("bound_activity_up", **common))
+    scenario.commit("add bound for thermal electr use in cement")
+
+    # relax 2020 growth constraint for RCPA to avoid infeasibility
+    scenario.check_out()
+    df = scenario.par(
+        "growth_activity_up", filters={"node_loc": "R12_RCPA", "year_act": 2020}
+    )
+    df = df[
+        (df["technology"].str.endswith("_i")) | (df["technology"].str.endswith("_I"))
+    ]
+    df["value"] = 5
+    scenario.add_par("growth_activity_up", df)
+    scenario.commit("remove growth constraints in RCPA industry")
+
+    # remove sp_eth_I historical activity, which is most likely from old scenario runs
+    df = scenario.par("historical_activity", filters={"technology": "sp_eth_I"})
+    scenario.check_out()
+    scenario.remove_par("historical_activity", df)
+    scenario.commit("remove sp_eth_I hist act from 2015")
+
+    # correct wrong Viet Nam IEA numbers
+    df = scenario.par(
+        "historical_activity",
+        filters={"node_loc": "R12_RCPA", "technology": "sp_el_I", "year_act": 2015},
+    )
+    df["value"] = 7
+    scenario.check_out()
+    scenario.add_par("historical_activity", df)
+    scenario.commit("increase wrong RCPA hist act in 2015")
+
+    df = scenario.par(
+        "initial_activity_up",
+        filters={
+            "node_loc": "R12_RCPA",
+            "year_act": 2020,
+            "technology": "loil_i",
+        },
+    )
+    df["value"] = 0.058
+    scenario.check_out()
+    scenario.add_par("initial_activity_up", df)
+    scenario.commit("add loil_i ini act for RCPA 2020")
+
+    df = scenario.par(
+        "growth_activity_lo",
+        filters={
+            "node_loc": "R12_FSU",
+            "year_act": 2020,
+            "technology": "loil_i",
+        },
+    )
+    df["value"] = -5
+    scenario.check_out()
+    scenario.add_par("growth_activity_lo", df)
+    scenario.commit("fix loil_i gro lo for FSU 2020")
+
+    for bound in ["up", "lo"]:
+        par = f"bound_activity_{bound}"
+        df = scenario.par(par, filters={"year_act": 2020})
+        scenario.check_out()
+        scenario.remove_par(
+            f"bound_activity_{bound}", df[df["technology"].str.contains("t_d")]
+        )
+        scenario.commit("remove t_d 2020 bounds")
+
+        df = scenario.par(par, filters={"technology": "elec_i"})
+        df["value"] = 0
+        scenario.check_out()
+        scenario.add_par(par, df)
+        scenario.commit("set elec_i bounds 2020 to 0")
+
+    df = scenario.par("historical_activity", filters={"technology": "elec_i"})
+    scenario.check_out()
+    scenario.remove_par("historical_activity", df)
+    scenario.commit("remove elec_i hist act")
+    df = scenario.par("historical_activity", filters={"technology": "elec_i"})
+    scenario.check_out()
+    scenario.remove_par("historical_activity", df)
+    scenario.commit("remove elec_i hist act")
+
+    df = scenario.par(
+        "growth_activity_lo",
+        filters={
+            "node_loc": ["R12_CHN"],
+            "year_act": 2020,
+            "technology": "coal_i",
+        },
+    )
+    df["value"] = -0.1
+    scenario.check_out()
+    scenario.add_par("growth_activity_lo", df)
+    scenario.commit("decrease gro lo for coal_ i CHN 2020")
+
+    df = scenario.par(
+        "growth_activity_lo",
+        filters={
+            "node_loc": ["R12_LAM"],
+            "year_act": 2020,
+            "technology": "gas_i",
+        },
+    )
+    df["value"] = -0.04
+    scenario.check_out()
+    scenario.add_par("growth_activity_lo", df)
+    scenario.commit("decrease gro lo for gas_i LAM 2020")
+
+    df = scenario.par(
+        "growth_activity_lo",
+        filters={
+            "node_loc": ["R12_RCPA"],
+            "year_act": 2020,
+            "technology": "foil_i",
+        },
+    )
+    df["value"] = -0.1
+    scenario.check_out()
+    scenario.add_par("growth_activity_lo", df)
+    scenario.commit("decrease gro lo for foil_i RCPA 2020")
+
+    df = scenario.par(
+        "growth_activity_up",
+        filters={
+            "node_loc": ["R12_CHN"],
+            "year_act": 2020,
+            "technology": ["loil_i", "gas_i"],
+        },
+    )
+    df["value"] *= 4
+    scenario.check_out()
+    scenario.add_par("growth_activity_up", df)
+    scenario.commit("increase gro up for loil_i/gas_i CHN 2020")
+
+    df = scenario.par(
+        "growth_activity_up",
+        filters={
+            "node_loc": ["R12_CHN"],
+            "year_act": 2020,
+            "technology": ["loil_i", "gas_i", "heat_i"],
+        },
+    )
+    df["value"] = 5
+    scenario.check_out()
+    scenario.add_par("growth_activity_up", df)
+    scenario.commit("increase gro up for loil_i/gas_i/heat_i CHN 2020")
+
+    return
+
+
+def gen_plastics_emission_factors(
+    info, species: Literal["methanol", "HVCs", "ethanol"]
+) -> dict[str, pd.DataFrame]:
+    """Generate "CO2_Emission" relation parameter that
+    represents stored carbon in produced plastics.
+    The calculation considers:
+    * carbon content of feedstocks,
+    * the share that is converted to plastics
+    * the end-of-life treatment (i.e. incineration, landfill, etc.)
+
+    Values are negative since they need to be deducted
+    from top-down accounting, which assumes that all extracted
+    carbonaceous resources are released as carbon emissions.
+    (Which is not correct for carbon used in long-lived products)
+
+    Parameters
+    ----------
+    species:
+        feedstock species to generate relation for
+    info: ScenarioInfo
+
+    Returns
+    -------
+    Dict[str, pd.DataFrame]
+    """
+
+    tec_species_map = {"methanol": "meth_ind_fs", "HVCs": "production_HVC"}
+
+    carbon_pars = read_yaml_file(
+        package_data_path(
+            "material", "petrochemicals", "chemicals_carbon_parameters.yaml"
+        )
+    )
+    # TODO: move EOL parameters to a different file to disassociate from methanol model
+    end_of_life_pars = pd.read_excel(
+        package_data_path("material", "methanol", "methanol_sensitivity_pars.xlsx"),
+        sheet_name="Sheet1",
+        dtype=object,
+    )
+    seq_carbon = {
+        k: (v["carbon mass"] / v["molar mass"]) * v["plastics use"]
+        for k, v in carbon_pars[species].items()
+    }
+    end_of_life_pars = end_of_life_pars.set_index("par").to_dict()["value"]
+    common = {
+        "unit": "???",
+        "relation": "CO2_Emission",
+        "mode": seq_carbon.keys(),
+        "technology": tec_species_map[species],
+    }
+    co2_emi_rel = make_df("relation_activity", **common).drop(columns="value")
+    co2_emi_rel = co2_emi_rel.merge(
+        pd.Series(seq_carbon, name="value").to_frame().reset_index(),
+        left_on="mode",
+        right_on="index",
+    ).drop(columns="index")
+
+    years = info.Y
+    co2_emi_rel = co2_emi_rel.pipe(broadcast, year_act=years)
+    co2_emi_rel["year_rel"] = co2_emi_rel["year_act"]
+
+    co2_emi_rel = co2_emi_rel.pipe(broadcast, node_loc=nodes_ex_world(info.N)).pipe(
+        same_node
+    )
+
+    def apply_eol_factor(row, pars):
+        if row["year_act"] < pars["incin_trend_end"]:
+            share = pars["incin_rate"] + pars["incin_trend"] * (row["year_act"] - 2020)
+        else:
+            share = 0.5
+        return row["value"] * (1 - share)
+
+    co2_emi_rel["value"] = co2_emi_rel.apply(
+        lambda x: apply_eol_factor(x, end_of_life_pars), axis=1
+    ).mul(-1)
+    return {"relation_activity": co2_emi_rel}
+
+
+def gen_chemicals_co2_ind_factors(
+    info, species: Literal["methanol", "HVCs"]
+) -> dict[str, pd.DataFrame]:
+    """Generate "CO2_ind" relation parameter that
+    represents carbon in chemical feedstocks that is oxidized in the
+    short-term (=during the model horizon) in downstream products.
+    This happens either through natural oxidation or combustion as the
+    end-of-life treatment of plastics.
+
+    The calculation considers:
+    * carbon content of feedstocks,
+    * the share that is converted to oxidizable chemicals
+    * the end-of-life treatment shares (i.e. incineration, landfill, etc.)
+
+    Values are positive since they need to be added
+    to bottom-up emission accounting.
+
+    Parameters
+    ----------
+    species:
+        feedstock species to generate relation for
+    info: ScenarioInfo
+
+    Returns
+    -------
+    Dict[str, pd.DataFrame]
+    """
+
+    tec_species_map = {
+        "methanol": "meth_ind_fs",
+        "HVCs": "production_HVC",
+        "ethanol": "ethanol_to_ethylene_petro",
+    }
+
+    carbon_pars = read_yaml_file(
+        package_data_path(
+            "material", "petrochemicals", "chemicals_carbon_parameters.yaml"
+        )
+    )
+    # TODO: move EOL parameters to a different file to disassociate from methanol model
+    end_of_life_pars = pd.read_excel(
+        package_data_path("material", "methanol", "methanol_sensitivity_pars.xlsx"),
+        sheet_name="Sheet1",
+        dtype=object,
+    )
+    temporary_sequestered = {
+        k: (v["carbon mass"] / v["molar mass"]) * (1 - v["plastics use"])
+        for k, v in carbon_pars[species].items()
+    }
+    embodied_carbon_plastics = {
+        k: (v["carbon mass"] / v["molar mass"]) * v["plastics use"]
+        for k, v in carbon_pars[species].items()
+    }
+    end_of_life_pars = end_of_life_pars.set_index("par").to_dict()["value"]
+    common = {
+        "unit": "???",
+        "relation": "CO2_ind",
+        "mode": embodied_carbon_plastics.keys(),
+        "technology": tec_species_map[species],
+    }
+    co2_emi_rel = make_df("relation_activity", **common).drop(columns="value")
+    co2_emi_rel = co2_emi_rel.merge(
+        pd.Series(embodied_carbon_plastics, name="value").to_frame().reset_index(),
+        left_on="mode",
+        right_on="index",
+    ).drop(columns="index")
+
+    years = info.Y
+    co2_emi_rel = co2_emi_rel.pipe(broadcast, year_act=years)
+    co2_emi_rel["year_rel"] = co2_emi_rel["year_act"]
+
+    co2_emi_rel = co2_emi_rel.pipe(broadcast, node_loc=nodes_ex_world(info.N)).pipe(
+        same_node
+    )
+
+    def apply_eol_factor(row, pars):
+        if row["year_act"] < pars["incin_trend_end"]:
+            share = pars["incin_rate"] + pars["incin_trend"] * (row["year_act"] - 2020)
+        else:
+            share = 0.5
+        return row["value"] * share
+
+    co2_emi_rel["value"] = co2_emi_rel.apply(
+        lambda x: apply_eol_factor(x, end_of_life_pars), axis=1
+    )
+
+    def add_non_combustion_oxidation(row):
+        return temporary_sequestered[row["mode"]] + row["value"]
+
+    co2_emi_rel["value"] = co2_emi_rel.apply(
+        lambda x: add_non_combustion_oxidation(x), axis=1
+    )
+    return {"relation_activity": co2_emi_rel}
+
+
+def gen_ethanol_to_ethylene_emi_factor(info) -> dict[str, pd.DataFrame]:
+    """Generate "CO2_ind" relation parameter that
+    represents carbon in chemical feedstocks that is oxidized in the
+    short-term (=during the model horizon) in downstream products.
+    This happens either through natural oxidation or combustion as the
+    end-of-life treatment of plastics.
+
+    The calculation considers:
+    * carbon content of feedstocks,
+    * the share that is converted to oxidizable chemicals
+    * the end-of-life treatment shares (i.e. incineration, landfill, etc.)
+
+    Values are positive since they need to be added
+    to bottom-up emission accounting.
+
+    Parameters
+    ----------
+    info: ScenarioInfo
+
+    Returns
+    -------
+    Dict[str, pd.DataFrame]
+    """
+
+    carbon_pars = read_yaml_file(
+        package_data_path(
+            "material", "petrochemicals", "chemicals_carbon_parameters.yaml"
+        )
+    )
+    embodied_carbon_plastics = {
+        k: (v["carbon mass"] / v["molar mass"]) * v["plastics use"]
+        for k, v in carbon_pars["ethanol"].items()
+    }
+    common = {
+        "unit": "???",
+        "relation": "CO2_ind",
+        "mode": embodied_carbon_plastics.keys(),
+        "technology": "ethanol_to_ethylene_petro",
+    }
+    co2_emi_rel = make_df("relation_activity", **common).drop(columns="value")
+    co2_emi_rel = co2_emi_rel.merge(
+        pd.Series(embodied_carbon_plastics, name="value").to_frame().reset_index(),
+        left_on="mode",
+        right_on="index",
+    ).drop(columns="index")
+
+    years = info.Y
+    co2_emi_rel = co2_emi_rel.pipe(broadcast, year_act=years)
+    co2_emi_rel["year_rel"] = co2_emi_rel["year_act"]
+
+    co2_emi_rel = co2_emi_rel.pipe(broadcast, node_loc=nodes_ex_world(info.N)).pipe(
+        same_node
+    )
+    return {"relation_activity": co2_emi_rel}
diff --git a/message_ix_models/model/material/material_demand/material_demand_calc.py b/message_ix_models/model/material/material_demand/material_demand_calc.py
index af155bdade..0e75454c29 100644
--- a/message_ix_models/model/material/material_demand/material_demand_calc.py
+++ b/message_ix_models/model/material/material_demand/material_demand_calc.py
@@ -32,7 +32,7 @@
     "SSP2": "normal",
     "SSP3": "high",
     "SSP4": "normal",
-    "SSP5": "high",
+    "SSP5": "highest",
     "LED": "low",
 }
 
@@ -49,7 +49,12 @@
     },
     "high": {
         "steel": {"a": 1.3, "b": 1},
-        "cement": {"a": 1.3},
+        "cement": {"a": 1.2, "b": 1.5},
+        "aluminum": {"a": 1.4, "b": 1.3},
+    },
+    "highest": {
+        "steel": {"a": 1.3, "b": 1},
+        "cement": {"a": 1.8, "b": 4},
         "aluminum": {"a": 1.3, "b": 1},
     },
 }
@@ -315,7 +320,7 @@ def read_gdp_ppp_from_scen(scen: message_ix.Scenario) -> pd.DataFrame:
 def derive_demand(
     material: Literal["cement", "steel", "aluminum"],
     scen: message_ix.Scenario,
-    ssp: Literal["SSP1", "SSP2", "SSP3", "SSP4", "SSP5"] = "SSP2",
+    ssp: Literal["SSP1", "SSP2", "SSP3", "SSP4", "SSP5", "LED"] = "SSP2",
 ):
     datapath = message_ix_models.util.package_data_path("material")
 
@@ -513,7 +518,7 @@ def get_demand_t1_with_income_elasticity(
 
     df_melt = df_demand.melt(ignore_index=False).reset_index()
 
-    level = "demand" if chemical == "HVC" else "final_material"
+    level = "demand" if chemical in ["HVC", "methanol"] else "final_material"
 
     return make_df(
         "demand",
diff --git a/message_ix_models/model/material/report/reporter_utils.py b/message_ix_models/model/material/report/reporter_utils.py
new file mode 100644
index 0000000000..33d096d156
--- /dev/null
+++ b/message_ix_models/model/material/report/reporter_utils.py
@@ -0,0 +1,351 @@
+import itertools
+
+import message_ix
+import pandas as pd
+
+comm_tec_map = {
+    "coal": ["meth_coal", "meth_coal_ccs"],
+    "gas": ["meth_ng", "meth_ng_ccs"],
+    "bio": ["meth_bio", "meth_bio_ccs"],
+    "h2": ["meth_h2"],
+}
+
+
+def create_var_map_from_yaml_dict(dictionary: dict):
+    """Creates a 1-to-n mapping for IAMC template variable to the
+    corresponding query keys.
+    The used query keys are the MESSAGEix sets: technology,
+    mode, commodity, level. The resulting map is represented by
+    a pandas DataFrame with the columns:
+    - iamc_name
+    - short_name
+    - unit
+    - technology
+    - mode
+    - commodity
+    - level
+
+    Parameters
+    ----------
+    dictionary: dict
+        a dictionary with the required information about the mapping
+        needs the following tree structure of key-value pairs:
+        - "vars"
+            - "filter"
+            - "short"
+        - "common"
+            - "unit"
+
+    Returns
+    -------
+
+    """
+    data = dictionary["vars"]
+    all = pd.DataFrame()
+    unit = dictionary["common"]["unit"]
+    for iamc_key, values in data.items():
+        # Extract relevant information
+        filter_data = values["filter"]
+        short_name = values["short"]
+
+        # Create a list to hold the modified entries
+        # Iterate over the list of technologies
+        data = {k: [v] if isinstance(v, str) else v for k, v in filter_data.items()}
+        combinations = list(itertools.product(*data.values()))
+
+        # Create DataFrame
+        df = pd.DataFrame(combinations, columns=data.keys())
+        df["iamc_name"] = iamc_key
+        df["short_name"] = short_name
+        if "unit" in list(values.keys()):
+            df["unit"] = values["unit"]
+        else:
+            df["unit"] = unit
+
+        # append
+        all = pd.concat([all, df])
+
+    rename_dict = {"mode": "m", "technology": "t", "level": "l", "commodity": "c"}
+    rename_dict = {k: v for k, v in rename_dict.items() if k in all.columns}
+
+    all = all.rename(columns=rename_dict).set_index(list(rename_dict.values()))
+    return all
+
+
+def add_methanol_share_calculations(rep: message_ix.Reporter, mode: str = "feedstock"):
+    """Prepare reporter to compute regional bio-methanol
+    shares of regional total methanol production.
+    Reporter can compute share with key: share::biomethanol
+
+    Steps:
+    1) Select all methanol production output
+    2) Aggregate vintages to get production by technology for
+        each year and node (methanol-by-tec)
+    3) Aggregate to get global totals (methanol-total)
+    4) Calculate methanol output shares by technology
+    5) Aggregate meth_bio_ccs and meth_bio shares to get total
+        bio-methanol share
+
+    Parameters
+    ----------
+    rep
+    """
+    t_filter2 = {
+        "t": [
+            "meth_coal",
+            "meth_coal_ccs",
+            "meth_ng_ccs",
+            "meth_ng",
+            "meth_bio",
+            "meth_bio_ccs",
+            "meth_h2",
+        ],
+        "c": ["methanol"],
+        "l": "primary_material",
+    }
+    if mode == "fuel":
+        t_filter2.update({"l": ["primary"]})
+
+    rep.add("out::methanol-prod", "select", "out:nl-t-ya-m-c-l", t_filter2)
+    rep.add(
+        "out::methanol-prod-by-tec",
+        "group_sum",
+        "out::methanol-prod",
+        group="t",
+        sum="c",
+    )
+    rep.add(
+        "out::methanol-prod-total",
+        "group_sum",
+        "out::methanol-prod",
+        group=["nl", "ya"],
+        sum="t",
+    )
+    rep.add(
+        "share::methanol-prod-by-tec",
+        "div",
+        "out::methanol-prod-by-tec",
+        "out::methanol-prod-total",
+    )
+    for comm, tecs in comm_tec_map.items():
+        rep.add(
+            f"share::{comm}-methanol-prod",
+            "aggregate",
+            "share::methanol-prod-by-tec",
+            groups={"t": {f"{comm}-methanol": tecs}},
+            keep=False,
+        )
+
+
+def add_meth_export_calculations(rep: message_ix.Reporter, mode: str = "feedstock"):
+    """Prepare reporter to compute bio-methanol exports.
+    Reporter can compute exports with key: out::biomethanol-export
+
+    Steps:
+    1) Select all methanol export outputs
+    2) Aggregate to get global totals (methanol-total)
+    3) Calculate bio-methanol exports by multiplying
+    regional exports with regional bio-methanol production shares
+
+    Parameters
+    ----------
+    rep
+    """
+    add_methanol_share_calculations(rep, mode=mode)
+    for comm in comm_tec_map.keys():
+        t_filter2 = {"t": "meth_exp", "m": mode}
+        rep.add("out::methanol-export", "select", "out:nl-t-ya-m", t_filter2)
+        rep.add(
+            "out::methanol-export-total",
+            "group_sum",
+            "out::methanol-export",
+            group="ya",
+            sum="nl",
+        )
+        rep.add(
+            f"out::{comm}methanol-export",
+            "mul",
+            "out::methanol-export",
+            f"share::{comm}-methanol-prod",
+        )
+
+
+def add_meth_import_calculations(rep: message_ix.Reporter, mode: str = "feedstock"):
+    """Prepare reporter to compute bio-methanol import indicators.
+    Reporter can compute imports with key: out::biomethanol-import
+
+    Steps:
+    1) Select all methanol import outputs
+    2) Calculate bio-methanol share of global trade pool
+        by dividing all bio-methanol exports by all methanol exports
+    3) Compute bio-methanol imports by multiplying bio-methanol
+        share of global trade pool with regional imports
+    4) Calculate share of bio-methanol import as a fraction of
+        regional methanol production
+
+    Parameters
+    ----------
+    rep
+    """
+
+    add_meth_export_calculations(rep, mode=mode)
+    for comm in comm_tec_map.keys():
+        t_filter2 = {"t": "meth_imp", "m": mode}
+        rep.add("out::methanol-import", "select", "out:nl-t-ya-m", t_filter2)
+
+        rep.add(
+            f"out::{comm}methanol-export-total",
+            "group_sum",
+            f"out::{comm}methanol-export",
+            group="ya",
+            sum="nl",
+        )
+        rep.add(
+            f"share::{comm}methanol-export",
+            "div",
+            f"out::{comm}methanol-export-total",
+            "out::methanol-export-total",
+        )
+
+        rep.add(
+            f"out::{comm}methanol-import",
+            "mul",
+            "out::methanol-import",
+            f"share::{comm}methanol-export",
+        )
+        rep.add(
+            f"share::{comm}methanol-import",
+            "div",
+            f"out::{comm}methanol-import",
+            "out::methanol-prod-total",
+        )
+
+
+def add_biometh_final_share(rep: message_ix.Reporter, mode: str = "feedstock"):
+    """Prepare reporter to compute bio-methanol supply to final level
+    Reporter can compute bio-methanol with key: out::biomethanol-final
+
+    Bio-methanol supply to final level is defined as:
+    Domestic production + Import - Exports
+
+    Parameters
+    ----------
+    rep
+    """
+    add_meth_import_calculations(rep, mode=mode)
+    if mode == "feedstock":
+        t_filter2 = {
+            "t": ["meth_t_d"],
+            "m": [mode],
+        }
+    else:
+        t_filter2 = {
+            "t": ["meth_t_d", "furnace_methanol_refining"],
+            "m": [mode, "high_temp"],
+        }
+    for comm in comm_tec_map.keys():
+        rep.add("in::methanol-final0", "select", "in:nl-t-ya-m", t_filter2)
+        rep.add(
+            "in::methanol-final", "sum", "in::methanol-final0", dimensions=["t", "m"]
+        )
+        rep.add(
+            f"out::{comm}methanol-prod",
+            "mul",
+            "out::methanol-prod-total",
+            f"share::{comm}-methanol-prod",
+        )
+        rep.add(
+            f"out::{comm}methanol-final",
+            "combine",
+            *[
+                f"out::{comm}methanol-prod",
+                f"out::{comm}methanol-export",
+                f"out::{comm}methanol-import",
+            ],
+            weights=[1, -1, 1],
+        )
+        rep.add(
+            f"share::{comm}methanol-final",
+            "div",
+            f"out::{comm}methanol-final",
+            "in::methanol-final",
+        )
+
+
+def add_ammonia_non_energy_computations(rep: message_ix.Reporter):
+    """Prepare reporter to compute process energy input for ammonia production.
+    Reporter can compute process energy inputs with key: "in::nh3-process-energy"
+
+    Steps:
+    1) Select all feedstock inputs for ammonia production
+    2) Subtract ammonia energy output from feedstock input to get process energy input
+
+    Parameters
+    ----------
+    rep
+    """
+    t_filter1 = {
+        "t": [
+            "coal_NH3",
+            "gas_NH3",
+            "coal_NH3_ccs",
+            "gas_NH3_ccs",
+            "biomass_NH3",
+            "biomass_NH3_ccs",
+        ],
+        "c": ["coal", "gas", "fueloil", "biomass"],
+    }
+    t_filter2 = {"t": ["electr_NH3"], "c": ["electr"]}
+    rep.add("in::nh3-feedstocks1", "select", "in:nl-t-ya-m-c", t_filter1)
+    rep.add("in::nh3-feedstocks2", "select", "in:nl-t-ya-m-c", t_filter2)
+    rep.add(
+        "in::nh3-feedstocks", "concat", "in::nh3-feedstocks1", "in::nh3-feedstocks2"
+    )
+
+    rep.add(
+        "in::nh3-process-energy", "sub", "in::nh3-feedstocks", "out::nh3-non-energy"
+    )
+
+
+def add_methanol_non_energy_computations(rep: message_ix.Reporter):
+    """Prepare reporter to compute process energy input for methanol production.
+    Reporter can compute process energy inputs with key: "in::nh3-process-energy"
+
+    Steps:
+    1) Select all feedstock inputs for methanol production
+    2) Subtract methanol energy output from feedstock input to get process energy input
+
+    Parameters
+    ----------
+    rep
+    """
+    t_filter2 = {
+        "t": [
+            "meth_coal",
+            "meth_ng",
+            "meth_coal_ccs",
+            "meth_ng_ccs",
+            "meth_bio",
+            "meth_bio_ccs",
+            "meth_h2",
+        ],
+        "c": ["coal", "gas", "biomass", "hydrogen"],
+    }
+    rep.add("in::meth-feedstocks", "select", "in:nl-t-ya-m-c", t_filter2)
+    t_filter2 = {
+        "t": [
+            "meth_coal",
+            "meth_ng",
+            "meth_coal_ccs",
+            "meth_ng_ccs",
+            "meth_bio",
+            "meth_bio_ccs",
+            "meth_h2",
+        ],
+        "c": "methanol",
+        "l": "primary_material",
+    }
+    rep.add("out::meth-non-energy", "select", "out:nl-t-ya-m-c-l", t_filter2)
+    rep.add(
+        "in::meth-process-energy", "sub", "in::meth-feedstocks", "out::meth-non-energy"
+    )
diff --git a/message_ix_models/model/material/report/reporting.py b/message_ix_models/model/material/report/reporting.py
index f7ff983b43..0c9f0c86c5 100644
--- a/message_ix_models/model/material/report/reporting.py
+++ b/message_ix_models/model/material/report/reporting.py
@@ -21,11 +21,13 @@
 @author: unlu
 """
 
+import warnings
+
+warnings.simplefilter(action="ignore", category=FutureWarning)
 import os
 
 import matplotlib
 import numpy as np
-import openpyxl
 import pandas as pd
 import pyam
 import xlsxwriter
@@ -66,20 +68,13 @@ def change_names(s):
     return s
 
 
-def fix_excel(path_temp, path_new):
+def fix_excel(df):
     """
     Fix the names of the regions or variables to be compatible
     with IAMC format. This is done in the final reported excel file
     (path_temp) and written to a new excel file (path_new).
     """
     # read Excel file and sheet by name
-    workbook = openpyxl.load_workbook(path_temp)
-    sheet = workbook["data"]
-
-    new_workbook = openpyxl.Workbook()
-    new_sheet = new_workbook["Sheet"]
-    new_sheet.title = "data"
-    new_sheet = new_workbook.active
 
     replacement = {
         "CO2_industry": "CO2",
@@ -130,31 +125,66 @@ def fix_excel(path_temp, path_new):
         "R12_WEU": "R12_WEU",
         "R12_CHN": "R12_CHN",
         "World": "R12_GLB",
+        "BCA": "BC",
+        "OCA": "OC",
+    }
+    columns = {
         "model": "Model",
         "scenario": "Scenario",
         "variable": "Variable",
         "region": "Region",
         "unit": "Unit",
-        "BCA": "BC",
-        "OCA": "OC",
     }
-    # Iterate over the rows and replace
-    for i in range(1, (sheet.max_row + 1)):
-        data = [
-            sheet.cell(row=i, column=col).value
-            for col in range(1, (sheet.max_column + 1))
-        ]
-        for index, value in enumerate(data):
-            col_no = index + 1
-            if value in replacement.keys():
-                new_sheet.cell(row=i, column=col_no).value = replacement.get(value)
-            else:
-                new_sheet.cell(row=i, column=col_no).value = value
+    # Iterate over the rows and replaced
+    df = df.replace(replacement)
+    df = df.rename(columns=columns)
 
-    new_workbook.save(path_new)
+    return df
 
 
-def report(context, scenario):  # noqa: C901
+def convert_mass_to_energy(df):
+    # Methanol input conversion from material to energy unit
+    conv_factor = 0.6976
+    inp_vars = [
+        "in|final_material|methanol|MTO_petro",
+        "in|final_material|methanol|CH2O_synth",
+    ]
+    suffix = "energy"
+    for var in inp_vars:
+        df.divide(
+            f"{var}|M1",
+            (1 / conv_factor),
+            f"{var}|{suffix}",
+            append=True,
+            ignore_units=True,
+        )
+
+    # Convert methanol at primary_material from energy to material unit
+    # In the model this is kept as energy units
+    # to easily separate two modes: fuel and feedstock
+    outp_vars = [
+        "out|level|methanol|meth_coal",
+        "out|level|methanol|meth_coal_ccs",
+        "out|level|methanol|meth_ng",
+        "out|level|methanol|meth_ng_ccs",
+        "out|level|methanol|meth_bio",
+        "out|level|methanol|meth_bio_ccs",
+        "out|level|methanol|meth_h2",
+    ]
+    modes = ["feedstock", "fuel"]
+    levels = ["primary_material", "primary"]
+    for mode, level in zip(modes, levels):
+        for var in outp_vars:
+            df.divide(
+                f"{var.replace('level', level)}|{mode}",
+                conv_factor,
+                f"{var.replace('level', level)}|{mode}Mt",
+                append=True,
+                ignore_units=True,
+            )
+
+
+def report(scenario, print_to_excel=False):  # noqa: C901
     # Obtain scenario information and directory
 
     s_info = ScenarioInfo(scenario)
@@ -184,19 +214,12 @@ def report(context, scenario):  # noqa: C901
     directory.mkdir(exist_ok=True)
 
     # Generate message_ix level reporting and dump to an excel file.
-
     rep = Reporter.from_scenario(scenario)
     configure(units={"replace": {"-": ""}})
     df = rep.get("message::default")
-    name = os.path.join(directory, f"message_ix_reporting_{scenario.scenario}.xlsx")
-    df.to_excel(name)
+    report = df.timeseries().reset_index()
     print("message_ix level reporting generated")
-
-    # Obtain a pyam dataframe / filter / global aggregation
-
-    path = os.path.join(directory, f"message_ix_reporting_{scenario.scenario}.xlsx")
-    report = pd.read_excel(path)
-    report.Unit.fillna("", inplace=True)
+    report.unit.fillna("", inplace=True)
     df = pyam.IamDataFrame(report)
     df.filter(region=nodes, year=years, inplace=True)
     df.filter(
@@ -297,152 +320,15 @@ def report(context, scenario):  # noqa: C901
         ],
         inplace=True,
     )
+    print("Necessary variables are filtered")
 
-    # Methanol input conversion from material to energy unit
-
-    df.divide(
-        "in|final_material|methanol|MTO_petro|M1",
-        (1 / 0.6976),
-        "in|final_material|methanol|MTO_petro|energy",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "in|final_material|methanol|CH2O_synth|M1",
-        (1 / 0.6976),
-        "in|final_material|methanol|CH2O_synth|energy",
-        append=True,
-        ignore_units=True,
-    )
-
-    # Convert methanol at primary_material from energy to material unit
-    # In the model this is kept as energy units
-    # to easily seperate two modes: fuel and feedstock
-    df.divide(
-        "out|primary_material|methanol|meth_coal|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_coal|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary_material|methanol|meth_coal_ccs|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_coal_ccs|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary_material|methanol|meth_ng|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_ng|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary_material|methanol|meth_ng_ccs|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_ng_ccs|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary_material|methanol|meth_bio|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_bio|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary_material|methanol|meth_bio_ccs|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_bio_ccs|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary_material|methanol|meth_h2|feedstock",
-        0.6976,
-        "out|primary_material|methanol|meth_h2|feedstockMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    # Convert methanol at primary from energy to material unit
-    # In the model this is kept as energy units
-    # to easily seperate two modes: fuel and feedstock
-    df.divide(
-        "out|primary|methanol|meth_coal|fuel",
-        0.6976,
-        "out|primary|methanol|meth_coal|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary|methanol|meth_coal_ccs|fuel",
-        0.6976,
-        "out|primary|methanol|meth_coal_ccs|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary|methanol|meth_ng|fuel",
-        0.6976,
-        "out|primary|methanol|meth_ng|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary|methanol|meth_ng_ccs|fuel",
-        0.6976,
-        "out|primary|methanol|meth_ng_ccs|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary|methanol|meth_bio|fuel",
-        0.6976,
-        "out|primary|methanol|meth_bio|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary|methanol|meth_bio_ccs|fuel",
-        0.6976,
-        "out|primary|methanol|meth_bio_ccs|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
-
-    df.divide(
-        "out|primary|methanol|meth_h2|fuel",
-        0.6976,
-        "out|primary|methanol|meth_h2|fuelMt",
-        append=True,
-        ignore_units=True,
-    )
+    convert_mass_to_energy(df)
 
     df.convert_unit("unknown", to="", factor=1, inplace=True)
 
     variables = df.variable
     df.aggregate_region(variables, region="World", method="sum", append=True)
 
-    name = os.path.join(directory, "check.xlsx")
-    df.to_excel(name)
-    print("Necessary variables are filtered")
-
     # Obtain the model and scenario name
     model_name = df.model[0]
     scenario_name = df.scenario[0]
@@ -4182,17 +4068,12 @@ def report(context, scenario):  # noqa: C901
     # Trade
     # ....................
 
-    path_temp = os.path.join(directory, "temp_new_reporting.xlsx")
-    df_final.to_excel(path_temp, sheet_name="data")
-
     excel_name_new = "New_Reporting_" + model_name + "_" + scenario_name + ".xlsx"
     path_new = os.path.join(directory, excel_name_new)
-
-    print(path_temp)
-    print(path_new)
-    fix_excel(path_temp, path_new)
+    df_final = fix_excel(df_final.timeseries().reset_index())
     print("New reporting file generated.")
-    df_final = pd.read_excel(path_new)
+    if print_to_excel:
+        df_final.to_excel(path_new)
 
     # df_resid = pd.read_csv(path_resid)
     # df_resid["Model"] = model_name
@@ -4209,7 +4090,4 @@ def report(context, scenario):  # noqa: C901
     # scenario.add_timeseries(df_comm)
     print("Finished uploading timeseries")
     scenario.commit("Reporting uploaded as timeseries")
-
     pp.close()
-    os.remove(path_temp)
-    # os.remove(path)
diff --git a/message_ix_models/model/material/report/run_reporting.py b/message_ix_models/model/material/report/run_reporting.py
new file mode 100644
index 0000000000..d96aa803e5
--- /dev/null
+++ b/message_ix_models/model/material/report/run_reporting.py
@@ -0,0 +1,717 @@
+import os
+from typing import List, Literal
+
+import message_ix
+import pandas as pd
+import pyam
+from message_ix.report import Reporter
+from pydantic import BaseModel, ConfigDict
+
+from message_ix_models.model.material.report.reporter_utils import (
+    add_biometh_final_share,
+    create_var_map_from_yaml_dict,
+)
+from message_ix_models.model.material.util import read_yaml_file
+from message_ix_models.util import broadcast, package_data_path
+
+
+class ReporterConfig(BaseModel):
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+    iamc_prefix: str
+    message_query_key: Literal[
+        "out", "in", "ACT", "emi", "CAP"
+    ]  # TODO: try to import message_ix.Reporter keys here
+    unit: Literal["Mt/yr", "GWa", "Mt CH4/yr", "GW"]
+    df_mapping: pd.DataFrame  # TODO: use pandera to check on columns/dtypes etc.
+
+
+def create_agg_var_map_from_yaml(dictionary: dict, level: int = 1):
+    """Returns dataframe with 3 columns containing:
+    * the IAMC variable name of each aggregate variable defined in mapping dictionary at
+        the given level
+    * a short name of the variable and
+    * the short name of the sub-variable that belongs to the aggregate
+
+    The returned df can be used to join with the non-aggregate
+    sub variable produced with :func:create_var_map_from_yaml_dict2
+    to get the elements to compute the aggregate with message_ix.Reporter
+
+    Returns
+    -------
+    pd.DataFrame
+    """
+    data = dictionary[f"level_{level}"]
+    all = pd.DataFrame()
+    # iterate through all aggregate variable keys and compute dataframe with aggregate
+    # components mapped to aggregate short and IAMC name
+    for iamc_key, values in data.items():
+        # Extract aggregate components and short name from dictionary
+        components = values["components"]
+        short_name = values["short"]
+
+        # Create DataFrame
+        df = pd.DataFrame(components)
+        df["iamc_name"] = iamc_key
+        df["agg_short_name"] = short_name
+
+        # append to already created mapping rows
+        all = pd.concat([all, df])
+    all.columns = ["short_name", "iamc_name", "agg_short_name"]
+    all = all.set_index("short_name")
+    return all
+
+
+def pyam_df_from_rep(
+    rep: message_ix.Reporter, reporter_var: str, mapping_df: pd.DataFrame
+):
+    """Uses mapping_df with a message.Reporter to compute all values
+    for the IAMC variables defined in the mapping
+
+    Returns
+    -------
+    pd.DataFrame
+    """
+    filters_dict = {
+        col: list(mapping_df.index.get_level_values(col).unique())
+        for col in mapping_df.index.names
+    }
+    rep.set_filters(**filters_dict)
+    df_var = pd.DataFrame(rep.get(f"{reporter_var}:nl-t-ya-m-c-l"))
+    df = (
+        df_var.join(mapping_df[["iamc_name", "unit"]])
+        .dropna()
+        .groupby(["nl", "ya", "iamc_name"])
+        .sum(numeric_only=True)
+    )
+    rep.set_filters()
+    return df
+
+
+def format_reporting_df(
+    df: pd.DataFrame,
+    variable_prefix: str,
+    model_name: str,
+    scenario_name: str,
+    unit: str,
+    mappings,
+):
+    """Returns an pyam.IamDataFrame based on a DataFrame created with
+        :func:pyam_df_from_rep to an pyam.IamDataFrame
+
+    Returns
+    -------
+    pyam.IamDataFrame
+    """
+    df.columns = ["value"]
+    df = df.reset_index()
+    df = df.rename(columns={"iamc_name": "variable", "nl": "region", "ya": "Year"})
+    df["variable"] = variable_prefix + df["variable"]
+    df["Model"] = model_name
+    df["Scenario"] = scenario_name
+    df["Unit"] = unit
+    py_df = pyam.IamDataFrame(df)
+
+    missing = [
+        variable_prefix + i
+        for i in mappings.iamc_name.unique().tolist()
+        if i not in [i.replace(variable_prefix, "") for i in py_df.variable]
+    ]
+    if missing:
+        zero_ts = pyam.IamDataFrame(
+            pd.DataFrame()
+            .assign(
+                variable=missing,
+                region=None,
+                unit=unit,
+                value=0,
+                scenario=scenario_name,
+                model=model_name,
+                year=None,
+            )
+            .pipe(broadcast, region=py_df.region, year=py_df.year)
+        )
+        py_df = pyam.concat([py_df, zero_ts])
+    return py_df
+
+
+def load_config(name: str):
+    path = package_data_path("material", "reporting")
+    file = f"{name}_reporting.yaml"
+    file_agg = f"{name}_reporting_aggregates.yaml"
+
+    rep_var_dict = read_yaml_file(path.joinpath(file))
+    mappings = create_var_map_from_yaml_dict(rep_var_dict)
+    variable_prefix = rep_var_dict.get("iamc_prefix")
+    unit = rep_var_dict.get("common").get("unit")
+    var = rep_var_dict.get("var")
+
+    if os.path.exists(path.joinpath(file_agg)):
+        rep_var_dict_agg = read_yaml_file(path.joinpath(file_agg))
+
+        filters_mapping = (
+            mappings.copy(deep=True)
+            .drop(["iamc_name"], axis=1)
+            .reset_index()
+            .set_index("short_name")
+        )
+
+        # TODO: generalize to make this loop-able over arbitrary number of levels
+        # load aggregates mapping to components for level 1 variables
+        counter = 1
+        while rep_var_dict_agg.get(f"level_{counter}", None):
+            agg1_mapping = create_agg_var_map_from_yaml(rep_var_dict_agg, level=counter)
+            # Join aggregate mapping df with components df on the "short_name" values
+            # to get a row for each component of each aggregate
+            # drop the short name column afterward and replace it with the
+            #   aggregate short name
+            # finally concat the components mapping with the newly created
+            #   aggregate mapping
+            agg1_mapping = (
+                agg1_mapping.join(filters_mapping)
+                .set_index(["m", "t", "l", "c"])
+                .rename(columns={"agg_short_name": "short_name"})
+            )
+            mappings = pd.concat([mappings, agg1_mapping])
+            filters_mapping = (
+                mappings.copy(deep=True)
+                .drop(["iamc_name"], axis=1)
+                .reset_index()
+                .set_index("short_name")
+            )
+            counter += 1
+
+    # Creating config model and validate with pydantic
+    config = ReporterConfig(
+        iamc_prefix=variable_prefix,
+        message_query_key=var,
+        unit=unit,
+        df_mapping=mappings,
+    )
+    return config
+
+
+def run_fe_methanol_nh3_reporting(
+    rep: message_ix.Reporter, model_name: str, scen_name: str
+):
+    """Runs final energy reporting for ammonia and methanol.
+    Process energy input for methanol and ammonia is defined as the
+    difference between energy input and the embodied energy in the final product.
+    Since the model structure does not differentiate between feedstock
+    and process energy input for NH3 and CH3OH production, this needs to
+    calculated in post-processing steps:
+    1a) Query input flows to methanol and ammonia production
+    1b) Map to IAMC variable names
+    2a) Query methanol and ammonia output flows and map to same IAMC variables
+    2b) Convert ammonia output flows from Mt to GWa (not needed for methanol)
+    3) Subtract product output from energy input to get process energy
+    4) Format dataframe to IAMC standard
+
+    Parameters
+    ----------
+    rep
+    model_name
+    scen_name
+
+    Returns
+    -------
+
+    """
+    config = load_config("fe_methanol_ammonia")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+
+    config2 = load_config("fs1")
+    config2.iamc_prefix = config.iamc_prefix
+    df2 = pyam_df_from_rep(rep, config2.message_query_key, config2.df_mapping)
+    df2.loc[df2.index.get_level_values("iamc_name").str.contains("Ammonia")] *= 0.697615
+    df_final = df.sub(df2, fill_value=0)
+    py_df = format_reporting_df(
+        df_final,
+        config2.iamc_prefix,
+        model_name,
+        scen_name,
+        config.unit,
+        config.df_mapping,
+    )
+    return py_df
+
+
+def run_ch4_reporting(rep, model_name: str, scen_name: str):
+    var = "ch4_emi"
+    config = load_config(var)
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    py_df = format_reporting_df(
+        df, config.iamc_prefix, model_name, scen_name, config.unit, config.df_mapping
+    )
+    return py_df
+
+
+def run_fe_reporting(rep: message_ix.Reporter, model: str, scenario: str):
+    dfs = []
+
+    config = load_config("fe")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    dfs.append(
+        format_reporting_df(
+            df, config.iamc_prefix, model, scenario, config.unit, config.df_mapping
+        )
+    )
+
+    config = load_config("fe_solar")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    dfs.append(
+        format_reporting_df(
+            df, config.iamc_prefix, model, scenario, config.unit, config.df_mapping
+        )
+    )
+
+    py_df_all = add_chemicals_to_final_energy_variables(dfs, rep, model, scenario)
+
+    py_df_all = split_fe_other(rep, py_df_all, model, scenario)
+    df_final = (
+        py_df_all.filter(unit="dimensionless", keep=False)
+        .convert_unit("GWa", "EJ")
+        .timeseries()
+        .reset_index()
+    )
+    df_final.unit = "EJ/yr"
+    return df_final
+
+
+def add_chemicals_to_final_energy_variables(
+    dfs: List[pyam.IamDataFrame], rep: message_ix.Reporter, model: str, scenario: str
+):
+    dfs.append(run_fe_methanol_nh3_reporting(rep, model, scenario))
+    py_df_all = pyam.concat(dfs)
+    chem_aggs = {
+        "Chemicals": [
+            "Chemicals|Ammonia",
+            "Chemicals|Methanol",
+            "Chemicals|High-Value Chemicals",
+        ],
+        "Chemicals|Electricity": [
+            "Chemicals|Ammonia|Electricity",
+            "Chemicals|Methanol|Electricity",
+            "Chemicals|High-Value Chemicals|Electricity",
+        ],
+        "Chemicals|Gases": [
+            "Chemicals|Ammonia|Gases",
+            "Chemicals|Methanol|Gases",
+            "Chemicals|High-Value Chemicals|Gases",
+        ],
+        "Chemicals|Gases|Gas": [
+            "Chemicals|Ammonia|Gases|Gas",
+            "Chemicals|Methanol|Gases|Gas",
+            "Chemicals|High-Value Chemicals|Gases|Gas",
+        ],
+        "Chemicals|Liquids": [
+            "Chemicals|Ammonia|Liquids",
+            "Chemicals|High-Value Chemicals|Liquids",
+        ],
+        "Chemicals|Liquids|Oil": [
+            "Chemicals|Ammonia|Liquids|Oil",
+            "Chemicals|High-Value Chemicals|Liquids|Oil",
+        ],
+        "Chemicals|Solids": [
+            "Chemicals|Ammonia|Solids",
+            "Chemicals|Methanol|Solids",
+            "Chemicals|High-Value Chemicals|Solids",
+        ],
+        "Chemicals|Solids|Biomass": [
+            "Chemicals|Ammonia|Solids|Biomass",
+            "Chemicals|Methanol|Solids|Biomasss",
+            "Chemicals|High-Value Chemicals|Solids|Biomass",
+        ],
+        "Chemicals|Solids|Coal": [
+            "Chemicals|Ammonia|Solids|Coal",
+            "Chemicals|Methanol|Solids|Coal",
+            "Chemicals|High-Value Chemicals|Solids|Coal",
+        ],
+        "Chemicals|Hydrogen": [
+            "Chemicals|Ammonia|Hydrogen",
+            "Chemicals|Methanol|Hydrogen",
+            "Chemicals|High-Value Chemicals|Hydrogen",
+        ],
+    }
+    prefix = "Final Energy|Industry|"
+    fe_aggs = {prefix + k: [prefix + i for i in v] for k, v in chem_aggs.items()}
+    for k, v in fe_aggs.items():
+        py_df_all.aggregate(k, v, append=True)
+
+    updated_fe_totals = []
+    for comm in [
+        "Electricity",
+        "Gases",
+        "Gases|Gas",
+        "Liquids",
+        "Liquids|Oil",
+        "Solids",
+        "Solids|Biomass",
+        "Solids|Coal",
+        "Hydrogen",
+    ]:
+        updated_fe_totals.append(
+            py_df_all.add(
+                prefix + comm,
+                prefix + f"Chemicals|{comm}",
+                prefix + comm,
+                ignore_units=True,
+            )
+        )
+    py_df_updates = pyam.concat(updated_fe_totals)
+    py_df_all.filter(variable=py_df_updates.variable, keep=False, inplace=True)
+    py_df_all = pyam.concat([py_df_all, py_df_updates])
+    return py_df_all
+
+
+def split_fe_other(
+    rep: message_ix.Reporter, py_df_all: pyam.IamDataFrame, model: str, scenario: str
+):
+    """This function takes the Final Energy|Industry|*|Liquids|Other values
+    and reallocates it to Liquids|Biomass/Coal/Oil/Gas based on the methanol
+    feedstock shares.
+    1) calculates the feedstock shares of methanol production with message_ix.Reporter
+    2) append the shares as temporary iamc variables them to the existing reporting
+        pyam object
+    3) Uses pyam multiply feature to calculate shares with each "Liquids|Other"
+        timeseries
+    4) Uses pyam aggregate to sum existing Liquids|Biomass/Coal/Oil/Gas with new
+        variables and store in separate pyam object
+    5) Filters out existing (outdated) Liquids|Biomass/Coal/Oil/Gas from reporting
+        pyam object
+    6) Concats the updated variables with the full reporting
+
+    Parameters
+    ----------
+    rep
+    py_df_all
+    model
+    scenario
+
+    Returns
+    -------
+
+    """
+    add_biometh_final_share(rep, mode="fuel")
+    # set temporary filter on Reporter to speed up queries
+    rep.set_filters(
+        t=[
+            "meth_bunker",
+            "meth_tobunker",
+            "meth_bio",
+            "meth_bio_ccs",
+            "meth_h2",
+            "meth_t_d_material",
+            "meth_coal",
+            "meth_coal_ccs",
+            "meth_ng",
+            "meth_ng_ccs",
+            "meth_t_d",
+            "meth_bal",
+            "meth_trd",
+            "meth_exp",
+            "meth_imp",
+            "meth_ind_fs",
+            "furnace_methanol_refining",
+        ]
+    )
+    for c, full_name in zip(
+        ["coal", "gas", "bio", "h2"],
+        ["Coal", "Gas", "Biomass", "Hydrogen"],
+    ):
+        df_shrs = pd.DataFrame(rep.get(f"share::{c}methanol-final"))
+        if df_shrs.empty:
+            continue
+        df_shrs = df_shrs.reset_index()
+        df_shrs.rename(columns={"nl": "Region"}, inplace=True)
+        df_shrs = df_shrs.pivot(columns="ya", values=0, index="Region")
+        to_append = pyam.IamDataFrame(
+            df_shrs.assign(
+                scenario=scenario,
+                model=model,
+                unit="dimensionless",
+                variable=f"Share|{c}-methanol",
+            )
+        )
+        py_df_all = pyam.concat([py_df_all, to_append])
+        updated_rows = []
+
+        for var in [i for i in py_df_all.variable if "Liquids|Other" in i]:
+            py_df_all.multiply(
+                var,
+                f"Share|{c}-methanol",
+                var.replace("Other", f"{c}-methanol"),
+                append=True,
+            )
+            updated_rows.append(
+                py_df_all.aggregate(
+                    var.replace("Other", full_name),
+                    [
+                        var.replace("Other", full_name),
+                        var.replace("Other", f"{c}-methanol"),
+                    ],
+                )
+            )
+        py_df_update = pyam.concat(updated_rows)
+        py_df_all.filter(variable=py_df_update.variable, keep=False, inplace=True)
+        py_df_all = pyam.concat([py_df_all, py_df_update])
+    rep.set_filters()
+    return py_df_all
+
+
+def run_fs_reporting(rep: message_ix.Reporter, model_name: str, scen_name: str):
+    dfs = []
+    config = load_config("fs2")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    dfs.append(
+        format_reporting_df(
+            df,
+            config.iamc_prefix,
+            model_name,
+            scen_name,
+            config.unit,
+            config.df_mapping,
+        )
+    )
+    config = load_config("fs1")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    dfs.append(
+        format_reporting_df(
+            df,
+            config.iamc_prefix,
+            model_name,
+            scen_name,
+            config.unit,
+            config.df_mapping,
+        )
+    )
+    py_df = pyam.concat(dfs)
+    prefix = "Final Energy|Non-Energy Use|"
+    chem_aggs = {
+        "Chemicals": [
+            "Chemicals|Ammonia",
+            "Chemicals|Methanol",
+            "Chemicals|High-Value Chemicals",
+        ],
+        "Chemicals|Electricity": [
+            "Chemicals|Ammonia|Electricity",
+            "Chemicals|Methanol|Electricity",
+            "Chemicals|High-Value Chemicals|Electricity",
+        ],
+        "Chemicals|Gases": [
+            "Chemicals|Ammonia|Gases",
+            "Chemicals|Methanol|Gases",
+            "Chemicals|High-Value Chemicals|Gases",
+        ],
+        "Chemicals|Gases|Gas": [
+            "Chemicals|Ammonia|Gases|Gas",
+            "Chemicals|Methanol|Gases|Gas",
+            "Chemicals|High-Value Chemicals|Gases|Gas",
+        ],
+        "Chemicals|Liquids": [
+            "Chemicals|Ammonia|Liquids",
+            "Chemicals|High-Value Chemicals|Liquids",
+        ],
+        "Chemicals|Liquids|Oil": [
+            "Chemicals|Ammonia|Liquids|Oil",
+            "Chemicals|High-Value Chemicals|Liquids|Oil",
+        ],
+        "Chemicals|Liquids|Biomass": ["Chemicals|High-Value Chemicals|Liquids|Biomass"],
+        "Chemicals|Liquids|Other": ["Chemicals|High-Value Chemicals|Liquids|Other"],
+        "Chemicals|Solids": [
+            "Chemicals|Ammonia|Solids",
+            "Chemicals|Methanol|Solids",
+            "Chemicals|High-Value Chemicals|Solids",
+        ],
+        "Chemicals|Solids|Biomass": [
+            "Chemicals|Ammonia|Solids|Biomass",
+            "Chemicals|Methanol|Solids|Biomasss",
+            "Chemicals|High-Value Chemicals|Solids|Biomass",
+        ],
+        "Chemicals|Solids|Coal": [
+            "Chemicals|Ammonia|Solids|Coal",
+            "Chemicals|Methanol|Solids|Coal",
+            "Chemicals|High-Value Chemicals|Solids|Coal",
+        ],
+        "Chemicals|Hydrogen": [
+            "Chemicals|Methanol|Hydrogen",
+        ],
+    }
+    fe_chem_aggs = {prefix + k: [prefix + i for i in v] for k, v in chem_aggs.items()}
+    fe_aggs = {
+        prefix[:-1] + k.replace("Chemicals", ""): [prefix + i for i in v]
+        for k, v in chem_aggs.items()
+    }
+    for k, v in fe_chem_aggs.items():
+        py_df.aggregate(k, v, append=True)
+    for k, v in fe_aggs.items():
+        py_df.aggregate(k, v, append=True)
+
+    py_df = split_mto_feedstock(rep, py_df, model_name, scen_name)
+    df_final = (
+        py_df.filter(unit="dimensionless", keep=False)
+        .convert_unit("GWa", "EJ")
+        .timeseries()
+        .reset_index()
+    )
+    df_final.unit = "EJ/yr"
+    return df_final
+
+
+def split_mto_feedstock(
+    rep: message_ix.Reporter, py_df_all: pyam.IamDataFrame, model: str, scenario: str
+):
+    add_biometh_final_share(rep, mode="feedstock")
+    rep.set_filters(
+        t=[
+            "meth_bunker",
+            "meth_tobunker",
+            "meth_bio",
+            "meth_bio_ccs",
+            "meth_h2",
+            "meth_t_d_material",
+            "meth_coal",
+            "meth_coal_ccs",
+            "meth_ng",
+            "meth_ng_ccs",
+            "meth_t_d",
+            "meth_bal",
+            "meth_trd",
+            "meth_exp",
+            "meth_imp",
+            "meth_ind_fs",
+        ]
+    )
+    for c, full_name in zip(
+        ["coal", "gas", "bio", "h2"],
+        ["Coal", "Gas", "Biomass", "Hydrogen"],
+    ):
+        df_shrs = pd.DataFrame(rep.get(f"share::{c}methanol-final"))
+        df_shrs = df_shrs.reset_index()
+        df_shrs.rename(columns={"nl": "Region"}, inplace=True)
+        df_shrs = df_shrs.pivot(columns="ya", values=0, index="Region")
+        to_append = pyam.IamDataFrame(
+            df_shrs.assign(
+                scenario=scenario,
+                model=model,
+                unit="dimensionless",
+                variable=f"Share|{c}-methanol-fs",
+            )
+        )
+        py_df_all = pyam.concat([py_df_all, to_append])
+        updated_rows = []
+
+        for var in [i for i in py_df_all.variable if "Liquids|Other" in i]:
+            py_df_all.multiply(
+                var,
+                f"Share|{c}-methanol-fs",
+                var.replace("Other", f"{c}-methanol"),
+                append=True,
+            )
+            updated_rows.append(
+                py_df_all.aggregate(
+                    var.replace("Other", full_name),
+                    [
+                        var.replace("Other", full_name),
+                        var.replace("Other", f"{c}-methanol"),
+                    ],
+                )
+            )
+        py_df_update = pyam.concat(updated_rows)
+        py_df_all.filter(variable=py_df_update.variable, keep=False, inplace=True)
+        py_df_all = pyam.concat([py_df_all, py_df_update])
+    rep.set_filters()
+    return py_df_all
+
+
+def run_prod_reporting(rep: message_ix.Reporter, model_name: str, scen_name: str):
+    dfs = []
+    config = load_config("prod")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    df.loc[df.index.get_level_values("iamc_name").str.contains("Methanol")] /= 0.697615
+    dfs.append(
+        format_reporting_df(
+            df,
+            config.iamc_prefix,
+            model_name,
+            scen_name,
+            config.unit,
+            config.df_mapping,
+        )
+    )
+
+    config = load_config("prod_addon")
+    df = pyam_df_from_rep(rep, config.message_query_key, config.df_mapping)
+    dfs.append(
+        format_reporting_df(
+            df,
+            config.iamc_prefix,
+            model_name,
+            scen_name,
+            config.unit,
+            config.df_mapping,
+        )
+    )
+
+    py_df = pyam.concat(dfs)
+    # assume 15% of BOF output is secondary steel since input is 15% "new_scrap"
+    bof_var = "Production|Iron and Steel|Steel|Secondary|BOF"
+    bof = py_df.multiply(bof_var, 0.15, bof_var)
+    py_df.filter(variable=bof_var, keep=False, inplace=True)
+    py_df = pyam.concat([py_df, bof])
+    updated = []
+    to_update = [
+        "Production|Iron and Steel|Steel|Secondary",
+        "Production|Steel",
+        "Production|Iron and Steel|Steel",
+    ]
+    for agg_var in to_update:
+        updated.append(py_df.add(agg_var, bof_var, agg_var))
+    py_df.filter(variable=to_update, keep=False, inplace=True)
+    py_df = pyam.concat([py_df, pyam.concat(updated)])
+
+    # assume 85% of BOF output is primary steel since input is 85% "pig_iron"
+    bof_var = "Production|Iron and Steel|Steel|Primary|BOF"
+    bof = py_df.multiply(bof_var, 0.85, bof_var)
+    py_df.filter(variable=bof_var, keep=False, inplace=True)
+    py_df = pyam.concat([py_df, bof])
+    updated = []
+    to_update = [
+        "Production|Iron and Steel|Steel|Primary",
+        "Production|Steel",
+        "Production|Iron and Steel|Steel",
+    ]
+    for agg_var in to_update:
+        updated.append(py_df.add(agg_var, bof_var, agg_var))
+    py_df.filter(variable=to_update, keep=False, inplace=True)
+    py_df = pyam.concat([py_df, pyam.concat(updated)])
+
+    return py_df
+
+
+def run_all_categories(rep: message_ix.Reporter, model_name: str, scen_name: str):
+    dfs = []
+    dfs.append(run_fs_reporting(rep, model_name, scen_name))
+    dfs.append(run_fe_reporting(rep, model_name, scen_name))
+    dfs.append(run_prod_reporting(rep, model_name, scen_name))
+    dfs.append(run_ch4_reporting(rep, model_name, scen_name))
+    return dfs
+
+
+def run(scenario, upload_ts=False, region=False):
+    rep = Reporter.from_scenario(scenario)
+
+    dfs = run_all_categories(rep, scenario.model, scenario.scenario)
+
+    py_df = pyam.concat(dfs)
+    if region:
+        py_df.aggregate_region(py_df.variable, region=region, append=True)
+    else:
+        py_df.aggregate_region(py_df.variable, append=True)
+    py_df.filter(variable="Share*", keep=False, inplace=True)
+    py_df.filter(
+        year=[i for i in scenario.set("year") if i >= scenario.firstmodelyear],
+        inplace=True,
+    )
+    if upload_ts:
+        scenario.add_timeseries(py_df.timeseries())
+    return py_df
diff --git a/message_ix_models/model/material/share_constraints.py b/message_ix_models/model/material/share_constraints.py
new file mode 100644
index 0000000000..b5948c07ef
--- /dev/null
+++ b/message_ix_models/model/material/share_constraints.py
@@ -0,0 +1,469 @@
+from typing import TYPE_CHECKING, Any, List, Literal
+
+import message_ix
+import pandas as pd
+from ixmp import Platform
+from message_ix import make_df
+from pandas import DataFrame
+
+from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.share_constraints_constants import (
+    other_ind_th_tecs,
+)
+from message_ix_models.util import (
+    broadcast,
+    nodes_ex_world,
+    package_data_path,
+    same_node,
+)
+
+if TYPE_CHECKING:
+    from message_ix import Scenario
+
+
+def gen_com_share_df(
+    shr_name: str, df_vals: pd.DataFrame, type: Literal["up", "lo"] = "up"
+) -> pd.DataFrame:
+    """
+    Generates DataFrame for "share_commodity_up/lo" parameter of MESSAGEix
+
+    Parameters
+    ----------
+    shr_name: str
+        name of the share constraint
+    df_vals: pd.DataFrame
+        DataFrame with columns ["node", "Value"]
+    type
+        "lo" for minimum constraint and "up" for maximum constraint
+
+    Returns
+    -------
+    pd.DataFrame
+        in MESSAGEix "share_commodity_up/lo" parameter format
+    -------
+    """
+    df_share_com_lo = make_df(f"share_commodity_{type}", **df_vals)
+    df_share_com_lo["time"] = "year"
+    df_share_com_lo["shares"] = shr_name
+    df_share_com_lo["unit"] = "-"
+
+    return df_share_com_lo
+
+
+def add_new_share_cat(
+    scen: "Scenario",
+    shr_name: str,
+    type_tec_all_name: str,
+    type_tec_shr_name: str,
+    all_tecs: List[str],
+    shr_tecs: List[str],
+):
+    """
+
+    Parameters
+    ----------
+    scen
+        Scenario to add new share categories to
+    shr_name
+        name of share
+    type_tec_all_name
+        name of technology group used to calculate denominator for share constraint
+    type_tec_shr_name
+        name of technology group used to calculate numerator for share constraint
+    all_tecs
+        List of technologies that should belong to "type_tec_all_name"
+    shr_tecs
+        List of technologies that should belong to "type_tec_shr_name"
+    """
+    scen.check_out()
+    scen.add_set("shares", shr_name)
+    scen.add_cat("technology", type_tec_all_name, all_tecs)
+    scen.add_cat("technology", type_tec_shr_name, shr_tecs)
+    scen.commit(
+        f"New share: {shr_name} registered. Total and share technologies "
+        f"({type_tec_all_name} & {type_tec_shr_name}) category added."
+    )
+
+
+def remove_share_cat(
+    scen: "Scenario",
+    shr_name: str,
+    type_tec_all_name: str,
+    type_tec_shr_name: str,
+    all_tecs: List[str],
+    shr_tecs: List[str],
+) -> None:
+    """
+
+    Parameters
+    ----------
+    scen
+        Scenario to add new share categories to
+    shr_name
+        name of share
+    type_tec_all_name
+        name of technology group used to calculate denominator for share constraint
+    type_tec_shr_name
+        name of technology group used to calculate numerator for share constraint
+    all_tecs
+        List of technologies that should belong to "type_tec_all_name"
+    shr_tecs
+        List of technologies that should belong to "type_tec_shr_name"
+    """
+    scen.check_out()
+    scen.remove_set("shares", shr_name)
+    scen.remove_cat("technology", type_tec_all_name, all_tecs)
+    scen.remove_cat("technology", type_tec_shr_name, shr_tecs)
+    scen.commit(
+        f"Share: {shr_name} deleted. Total and share technologies "
+        f"({type_tec_all_name} & {type_tec_shr_name}) category removed."
+    )
+
+
+def gen_comm_map(
+    scen: "Scenario",
+    shr_const_name: str,
+    type_tec: str,
+    tecs: List[str],
+    nodes: List[str],
+) -> pd.DataFrame:
+    """
+
+    Parameters
+    ----------
+    scen
+    shr_const_name
+    type_tec
+    tecs
+    nodes
+
+    Returns
+    -------
+
+    """
+    df_set_all = pd.DataFrame(
+        {
+            "shares": [shr_const_name],
+            "node_share": None,
+            "node": None,
+            "type_tec": type_tec,
+            # 'mode': None,
+            "commodity": None,
+        }
+    )
+
+    df_tec = scen.par("input", filters={"technology": tecs})
+
+    df_set_all = (
+        df_set_all.pipe(broadcast, node=nodes)
+        .pipe(same_node, from_col="node")
+        .pipe(broadcast, commodity=df_tec["commodity"].unique())
+    )
+
+    df_set_all = (
+        df_set_all.set_index("commodity")
+        .join(df_tec.set_index("commodity")[["level", "mode"]])
+        .reset_index()
+        .drop_duplicates()
+    )
+    # df_set_all = df_set_all.set_index("commodity").join(df_tec.set_index(
+    # "commodity")["mode"]).reset_index().drop_duplicates()
+    return df_set_all
+
+
+def gen_comm_shr_map(
+    scen: "Scenario",
+    cnstrnt_name: str,
+    type_tec_all_name: str,
+    type_tec_shr_name: str,
+    tecs_all: List[str],
+    tecs_shr: List[str],
+    nodes: str or List[str] = "all",
+) -> [pd.DataFrame, pd.DataFrame]:
+    """
+
+    Parameters
+    ----------
+    scen
+    cnstrnt_name
+    type_tec_all_name
+    type_tec_shr_name
+    tecs_all
+    tecs_shr
+    nodes
+
+    Returns
+    -------
+    [pd.DataFrame, pd.DataFrame]
+    -------
+    """
+    s_info = ScenarioInfo(scen)
+    if nodes == "all":
+        nodes = nodes_ex_world(s_info.N)
+    elif nodes not in nodes_ex_world(s_info.N):
+        print(
+            f"The provided nodes: {nodes} are not contained in this scenario. "
+            f"Valid nodes of this scenario are: {nodes_ex_world(s_info.N)}"
+        )
+        return
+
+    df_all_set = gen_comm_map(scen, cnstrnt_name, type_tec_all_name, tecs_all, nodes)
+    df_shr_set = gen_comm_map(scen, cnstrnt_name, type_tec_shr_name, tecs_shr, nodes)
+    return (
+        df_all_set,
+        df_shr_set,
+    )
+
+
+def gen_comm_shr_par(
+    scen: "Scenario",
+    cname: str,
+    shr_vals_df: pd.DataFrame,
+    shr_type: Literal["up", "lo"] = "up",
+    years: str or List[int] = "all",
+) -> tuple[DataFrame, Any]:
+    """Generates data frame for "share_commodity_up/lo" parameter with given values for
+    node_share and broadcasts them for given "years".
+
+    Parameters
+    ----------
+    scen: .Scenario
+        used if years == "all" to obtain model years for column "year"
+    cname: str
+        code to use for "share" column
+    shr_vals_df: pd.DataFrame
+        data frame with columns ["node_share", "value"]
+    shr_type: str
+        "up" or "lo"
+    years: str or list of int
+        "all" to generate for all optimization years of scen or list of years
+
+    Returns
+    -------
+    pd.DataFrame
+        with "share_commodity_up/lo" columns
+    """
+    req_cols = ["node_share", "value"]
+    check_cols = any(item in shr_vals_df for item in req_cols)
+    if not check_cols:
+        raise ValueError(f"shr_vals_df does not have the columns {req_cols}")
+    df_final = shr_vals_df.copy(deep=True)
+    if isinstance(years, str):
+        if years == "all":
+            years = scen.yv_ya()["year_act"].drop_duplicates()
+    if "year_act" not in shr_vals_df.columns:
+        df_final["year_act"] = None
+        df_final = df_final.pipe(broadcast, year_act=years)
+
+    df_shares = gen_com_share_df(cname, df_final, shr_type)
+    return df_shares
+
+
+def add_comm_share(
+    scen: "Scenario",
+    name: str,
+    set_tot: str,
+    set_share: str,
+    all_tecs: List[str],
+    shr_tecs: List[str],
+    shr_vals: pd.DataFrame,
+    shr_type: Literal["up", "lo"] = "up",
+    years: List[str] = "all",
+):
+    """
+    Convenience function that adds commodity share constraint to a scenario.
+
+    This process requires a numer of steps:
+    1) Register name of share in "shares" set
+    2a) Register new "type_tec" mapping of technologies that should be considered to
+            calculate the "total"
+    2b) Register new "type_tec" mapping of technologies that should be considered to
+            calculate the "share"
+    3) Add "map_shares_commodity_share/total" mapping:
+        a) Obtain involved commodities by inspecting "input" of the list of technologies
+            for both "total" and "share" technologies
+        b) Create row for each combination of nodes and commodity
+        c) Add generated DataFrames with scenario.add_cat()
+    4) Add share constraint parametrization:
+        a) Read values from "shr_vals" argument for each node
+        b) Duplicate regional entry for each specified year in "years"
+        c) Add generated DataFrames with scenario.add_par()
+
+    Parameters
+    ----------
+    scen
+    name
+    set_tot
+    set_share
+    all_tecs
+    shr_tecs
+    shr_vals
+    shr_type
+    years
+    """
+    print(f"Adding share constraint: {name}.")
+
+    add_new_share_cat(scen, name, set_tot, set_share, all_tecs, shr_tecs)
+
+    scen.check_out()
+    com_map_tot, com_map_shr = gen_comm_shr_map(
+        scen, name, set_tot, set_share, all_tecs, shr_tecs
+    )
+    scen.add_set("map_shares_commodity_share", com_map_shr)
+    scen.add_set("map_shares_commodity_total", com_map_tot)
+
+    com_shr_par = gen_comm_shr_par(scen, name, shr_vals, shr_type=shr_type, years=years)
+    scen.add_par(f"share_commodity_{shr_type}", com_shr_par)
+
+    scen.commit(f"Added commodity share constraint: {name}")
+
+
+def remove_comm_share(
+    scen: "Scenario",
+    name: str,
+    set_tot: str,
+    set_share: str,
+    all_tecs: List[str],
+    shr_tecs: List[str],
+):
+    """
+    Convenience function that removes commodity share constraint
+    that was previously added with .add_comm_share() from a scenario
+
+    Parameters
+    ----------
+    scen: .Scenario
+    name: str
+
+    set_tot: str
+
+    set_share: str
+
+    all_tecs: list of str
+
+    shr_tecs: list of str
+
+    """
+    print(f"Removing share constraint: {name}.")
+
+    remove_share_cat(scen, name, set_tot, set_share, all_tecs, shr_tecs)
+
+    scen.check_out()
+    com_map_tot, com_map_shr = gen_comm_shr_map(
+        scen, name, set_tot, set_share, all_tecs, shr_tecs
+    )
+    scen.remove_set("map_shares_commodity_share", com_map_shr)
+    scen.remove_set("map_shares_commodity_total", com_map_tot)
+
+
+def add_foil_shr_constraint():
+    shr_const = "share_low_lim_foil_ind"
+    type_tec_shr = "foil_cement"
+    type_tec_tot = "all_cement"
+
+    from share_constraints_constants import foil_ind_tecs_ht, non_foil_ind_tecs_ht
+
+    df_furn_cement = pd.read_csv(
+        r"C:/Users\maczek\PycharmProjects\IEA_activity_calib_SSP/furnace_foil_cement_share.csv",
+        usecols=[0, 2],
+    )
+    df_furn_cement.columns = ["node_share", "value"]
+    all_ind_tecs = {
+        a[0]: [a[1], *b[1]]
+        for a, b in zip(foil_ind_tecs_ht.items(), non_foil_ind_tecs_ht.items())
+    }
+
+    foil_sectors = set(all_ind_tecs.keys())
+    foil_sectors.remove("resins")
+
+    model = ""
+    scenario = ""
+    mp = Platform()
+    scen = message_ix.Scenario(mp, model, scenario)
+    sc_clone = scen.clone(scen.model, scen.scenario + "foil_furn", keep_solution=False)
+
+    for sec in foil_sectors:
+        df_sec_foil_shr = pd.read_csv(
+            rf"C:/Users\maczek\PycharmProjects\IEA_activity_calib_SSP/furnace_foil_{sec}_share.csv",
+            usecols=[0, 2],
+        )
+        df_furn_cement.columns = ["node_share", "value"]
+        add_comm_share(
+            sc_clone,
+            f"{sec}_foil",
+            f"cat_{sec}_total",
+            f"cat_{sec}_foil",
+            all_ind_tecs[sec],
+            foil_ind_tecs_ht[sec],
+            df_furn_cement,
+            years=sc_clone.yv_ya()["year_act"].drop_duplicates()[1:],
+        )
+
+
+def add_industry_coal_shr_constraint(scen: "Scenario"):
+    name = "UE_industry_th_coal"
+    share_reg_values = pd.read_csv(
+        package_data_path("material", "other", "coal_i_shares_2020.csv")
+    )
+    add_comm_share(
+        scen,
+        name,
+        f"{name}_total",
+        f"{name}_share",
+        other_ind_th_tecs,
+        ["coal_i"],
+        share_reg_values,
+        years=scen.yv_ya()["year_act"].drop_duplicates()[1:],
+    )
+
+
+def get_ssp_low_temp_shr_up(s_info: ScenarioInfo, ssp: str):
+    lt_heat_shr_start = 0.35
+    ssp_lt_heat_shr_end = {
+        "SSP1": 0.65,
+        "SSP2": 0.5,
+        "SSP3": 0.35,
+        "SSP4": 0.6,
+        "SSP5": 0.5,
+        "LED": 0.65,
+    }
+    end_year = {
+        "SSP1": 2040,
+        "SSP2": 2055,
+        "SSP3": 2055,
+        "SSP4": 2045,
+        "SSP5": 2050,
+        "LED": 2035,
+    }
+    start_year = 2025
+    end_years = pd.DataFrame(index=list(end_year.keys()), data=end_year.values())
+    end_vals = pd.DataFrame(
+        index=list(ssp_lt_heat_shr_end.keys()), data=ssp_lt_heat_shr_end.values()
+    )
+    val_diff = end_vals - lt_heat_shr_start
+    year_diff = end_years - start_year
+    common = {
+        "shares": "UE_industry_th_low_temp_heat",
+        "time": "year",
+        "unit": "-",
+        "value": lt_heat_shr_start,
+    }
+    df = make_df("share_commodity_up", **common)
+    df = df.pipe(broadcast, node_share=nodes_ex_world(s_info.N)).pipe(
+        broadcast,
+        year_act=[i for i in s_info.yv_ya.year_act.unique() if i >= start_year],
+    )
+
+    def get_shr(row):
+        if row["year_act"] <= end_year[ssp]:
+            val = (
+                row["value"]
+                + (row["year_act"] - start_year)
+                * (val_diff / year_diff).loc[ssp].values[0]
+            )
+        else:
+            val = ssp_lt_heat_shr_end[ssp]
+        return val
+
+    df = df.assign(value=df.apply(lambda x: get_shr(x), axis=1))
+    return df
diff --git a/message_ix_models/model/material/share_constraints_constants.py b/message_ix_models/model/material/share_constraints_constants.py
new file mode 100644
index 0000000000..dcaf778c64
--- /dev/null
+++ b/message_ix_models/model/material/share_constraints_constants.py
@@ -0,0 +1,92 @@
+non_foil_ind_tecs_ht = {
+    # Cement industry
+    "cement": [
+        "furnace_elec_cement",
+        "furnace_loil_cement",
+        "furnace_biomass_cement",
+        "furnace_ethanol_cement",
+        "furnace_methanol_cement",
+        "furnace_gas_cement",
+        "furnace_coal_cement",
+        "furnace_h2_cement",
+        "furnace_coke_cement",
+    ],
+    # Aluminum industry
+    "aluminum": [
+        "furnace_coal_aluminum",
+        "furnace_elec_aluminum",
+        "furnace_loil_aluminum",
+        "furnace_ethanol_aluminum",
+        "furnace_biomass_aluminum",
+        "furnace_methanol_aluminum",
+        "furnace_gas_aluminum",
+        "furnace_h2_aluminum",
+    ],
+    # High Value Chemicals
+    "petro": [
+        "furnace_coke_petro",
+        "furnace_coal_petro",
+        "furnace_elec_petro",
+        "furnace_loil_petro",
+        "furnace_ethanol_petro",
+        "furnace_biomass_petro",
+        "furnace_methanol_petro",
+        "furnace_gas_petro",
+        "furnace_h2_petro",
+    ],
+    # Resins
+    "resins": [
+        "furnace_coal_resins",
+        "furnace_elec_resins",
+        "furnace_loil_resins",
+        "furnace_ethanol_resins",
+        "furnace_biomass_resins",
+        "furnace_methanol_resins",
+        "furnace_gas_resins",
+        "furnace_h2_resins",
+    ],
+    # Refining
+    "refining": [
+        "furnace_coal_refining",
+        "furnace_elec_refining",
+        "furnace_coke_refining",
+        "furnace_loil_refining",
+        "furnace_ethanol_refining",
+        "furnace_methanol_refining",
+        "furnace_biomass_refining",
+        "furnace_gas_refining",
+        "furnace_h2_refining",
+    ],
+}
+
+# Final Energy Industry Electricity Technologies
+foil_ind_tecs_ht = {
+    "cement": "furnace_foil_cement",
+    "aluminum": "furnace_foil_aluminum",
+    "petro": "furnace_foil_petro",
+    "resins": "furnace_foil_resins",
+    "refining": "furnace_foil_refining",
+}
+levels = {
+    "cement": "useful_cement",
+    "aluminum": "useful_aluminum",
+    "petro": "useful_petro",
+    "resins": "useful_resins",
+    "refining": "secondary",
+}
+
+other_ind_th_tecs = [
+    "eth_i",
+    "elec_i",
+    "loil_i",
+    "biomass_i",
+    # "meth_i", deactivated in MESSAGEix-Materials
+    "gas_i",
+    "coal_i",
+    "h2_i",
+    "h2_fc_I",
+    "foil_i",
+    "heat_i",
+    "hp_el_i",
+    "solar_i",
+]
diff --git a/message_ix_models/model/material/util.py b/message_ix_models/model/material/util.py
index 6091892277..5f7579dd51 100644
--- a/message_ix_models/model/material/util.py
+++ b/message_ix_models/model/material/util.py
@@ -1,15 +1,16 @@
 import os
 from pathlib import Path
-from typing import Any, Union
+from typing import Any, Literal, Union
 
 import message_ix
 import openpyxl as pxl
 import pandas as pd
+import pycountry
 import yaml
 from scipy.optimize import curve_fit
 
-from message_ix_models import Context
-from message_ix_models.util import load_package_data, package_data_path
+from message_ix_models import Context, ScenarioInfo
+from message_ix_models.util import load_package_data, nodes_ex_world, package_data_path
 
 # Configuration files
 METADATA = [
@@ -228,10 +229,12 @@ def price_fit(df: pd.DataFrame) -> float:
     float
         estimated value for price_ref in 2020
     """
-
+    if 2025 in df["year"].values:
+        if df[df["year"] == 2025]["lvl"].gt(0.5).all():
+            val = df[df["year"] == 2025]["lvl"].values[0].round(3)
+            return val
     pars = curve_fit(exponential, df.year, df.lvl, maxfev=10000)[0]
     val = exponential([2020], *pars)[0]
-    # print(df.commodity.unique(), df.node.unique(), val)
     return val
 
 
@@ -259,7 +262,9 @@ def cost_fit(df: pd.DataFrame) -> float:
     return val / 1000
 
 
-def update_macro_calib_file(scenario: message_ix.Scenario, fname: str) -> None:
+def update_macro_calib_file(
+    scenario: message_ix.Scenario, fname: str, extrapolate=True
+) -> None:
     """Function to automate manual steps in MACRO calibration
 
     Tries to open a xlsx file with the given "fname" and
@@ -295,15 +300,26 @@ def update_macro_calib_file(scenario: message_ix.Scenario, fname: str) -> None:
 
     # cost_ref
     years_cost = [i for i in range(fmy, fmy + 15, 5)]
-    df = scenario.var("COST_NODAL_NET", filters={"year": years_cost})
-    df["node"] = pd.Categorical(df["node"], nodes)
-    df = df[df["year"].isin(years_cost)].groupby(["node"]).apply(cost_fit)
-    ws = wb["cost_ref"]
-    # write derived values to sheet. Cell B7 (MEA region) is skipped.
-    for i in range(2, 7):
-        ws[f"B{i}"].value = df.values[i - 2]
-    for i in range(8, 14):
-        ws[f"B{i}"].value = df.values[i - 2]
+    df = scenario.var(
+        "COST_NODAL_NET",
+        filters={"year": years_cost, "node": nodes_ex_world(ScenarioInfo(scenario).N)},
+    )
+    if extrapolate:
+        df["node"] = pd.Categorical(df["node"], nodes)
+        df = df[df["year"].isin(years_cost)].groupby(["node"]).apply(cost_fit)
+        ws = wb.get_sheet_by_name("cost_ref")
+        # write derived values to sheet. Cell B7 (MEA region) is skipped.
+        for i in range(2, 7):
+            ws[f"B{i}"].value = df.values[i - 2]
+        for i in range(8, 14):
+            ws[f"B{i}"].value = df.values[i - 2]
+    else:
+        vals = df[df["year"] == fmy + 5]["lvl"].values
+        nodes = df["node"].values
+        ws = wb.get_sheet_by_name("cost_ref")
+        for i in range(2, 14):
+            ws[f"A{i}"].value = nodes
+            ws[f"B{i}"].value = (vals[i - 2] / 1000).round(3)
 
     # price_ref
     comms = ["i_feed", "i_spec", "i_therm", "rc_spec", "rc_therm", "transport"]
@@ -316,11 +332,24 @@ def update_macro_calib_file(scenario: message_ix.Scenario, fname: str) -> None:
     df = df.groupby(["node", "commodity"]).apply(price_fit)
     ws = wb["price_ref"]
     for i in range(2, 62):
+        ws[f"A{i}"].value = df.index.get_level_values(0).values[i - 2]
+        ws[f"B{i}"].value = df.index.get_level_values(1).values[i - 2]
         ws[f"C{i}"].value = df.values[i - 2]
+
+    # demand_ref
+    df = scenario.par("demand", filters={"commodity": comms, "year": fmy})
+    ws = wb.get_sheet_by_name("demand_ref")
+    for i in range(2, 62):
+        ws[f"A{i}"].value = df.node.values[i - 2]
+        ws[f"B{i}"].value = df.commodity.values[i - 2]
+        ws[f"C{i}"].value = df.value.values[i - 2]
+
     wb.save(path)
 
 
-def get_ssp_from_context(context: Context) -> str:
+def get_ssp_from_context(
+    context: Context,
+) -> Literal["SSP1", "SSP2", "SSP3", "SSP4", "SSP5", "LED"]:
     """Get selected SSP from context
 
     Parameters
@@ -329,7 +358,6 @@ def get_ssp_from_context(context: Context) -> str:
 
     Returns
     -------
-    str
         SSP label
     """
     return "SSP2" if "ssp" not in context else context["ssp"]
@@ -363,3 +391,36 @@ def path_fallback(context_or_regions: Union[Context, str], *parts) -> Path:
             return c
 
     raise FileNotFoundError(candidates)
+
+
+def get_pycountry_iso(row, mis_dict):
+    try:
+        row = pycountry.countries.lookup(row).alpha_3
+    except LookupError:
+        try:
+            row = mis_dict[row]
+        except KeyError:
+            print(f"{row} is not mapped to an ISO")
+            row = None
+    return row
+
+
+def get_r12_reg(df, r12_map_inv, col_name):
+    try:
+        df = r12_map_inv[df[col_name]]
+    except KeyError:
+        df = None
+    return df
+
+
+def add_R12_column(df, file_path, iso_column="COUNTRY"):
+    # Replace 'your_file_path.yaml' with the path to your actual YAML file
+    # file_path = private_data_path("node", "R12_SSP_V1.yaml")
+    yaml_data = read_yaml_file(file_path)
+    yaml_data.pop("World")
+
+    r12_map = {k: v["child"] for k, v in yaml_data.items()}
+    r12_map_inv = {k: v[0] for k, v in invert_dictionary(r12_map).items()}
+
+    df["R12"] = df.apply(lambda x: get_r12_reg(x, r12_map_inv, iso_column), axis=1)
+    return df
diff --git a/message_ix_models/model/water/build.py b/message_ix_models/model/water/build.py
index 0cdbbcc087..660f0495bd 100644
--- a/message_ix_models/model/water/build.py
+++ b/message_ix_models/model/water/build.py
@@ -334,6 +334,16 @@ def get_spec(context: Context) -> Mapping[str, ScenarioInfo]:
         # Sets to add
         add.set[set_name].extend(config)
 
+    # clean the remove.set from things that are actually not in the scenario
+    # this saves building time significantly, as remove is slow
+    scen = context.get_scenario()
+    for category, elements in ((k, v) for k, v in remove.set.items() if k != "unit"):
+        # Get the corresponding set from the scenario
+        scen_set = scen.set(category)
+
+        # Filter elements to keep only those present in the scenario set
+        remove.set[category] = [elem for elem in elements if elem in scen_set.values]
+
     return dict(require=require, remove=remove, add=add)
 
 
diff --git a/message_ix_models/project/ssp/script/__init__.py b/message_ix_models/project/ssp/script/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/message_ix_models/project/ssp/script/scenarios/ccs_dac.py b/message_ix_models/project/ssp/script/scenarios/ccs_dac.py
new file mode 100644
index 0000000000..816944420a
--- /dev/null
+++ b/message_ix_models/project/ssp/script/scenarios/ccs_dac.py
@@ -0,0 +1,508 @@
+import ixmp
+import message_ix
+import numpy as np
+import pandas as pd
+import yaml
+
+from collections.abc import Mapping
+from itertools import repeat
+from message_ix.models import MESSAGE_ITEMS
+from message_ix.utils import make_df
+
+from message_ix_models.tools.add_dac import add_tech
+from message_ix_models.tools.costs.config import Config
+from message_ix_models.tools.costs.projections import create_cost_projections
+
+from typing import Literal
+
+%matplotlib inline
+
+# CO2 storage potential from Matt and Sidd
+R12_potential = {
+    'R12_FSU': 83310.661,
+    'R12_LAM': 55868.988,
+    'R12_WEU': 11793.358,
+    'R12_EEU':  1808.370,
+    'R12_AFR': 61399.222,
+    'R12_MEA': 57369.171,
+    'R12_NAM': 58983.981,
+    'R12_SAS':  4765.219,
+    'R12_PAS': 21108.578,
+    'R12_PAO': 34233.825,
+    'R12_CHN': 15712.475,
+    'R12_RCPA': 3754.285,
+}
+
+# max rate in MtC per year
+max_rate = np.round(15000/3.667,0)
+
+# technology modes
+modes = ["M1","M2","M3"]
+
+# length for each periods
+len_periods = {2025: 5, 2030: 5, 
+               2035: 5, 2040: 5, 
+               2045: 5, 2050: 5, 
+               2055: 5, 2060: 5, 
+               2070:10, 2080:10, 
+               2090:10, 2100:10, 
+               2110:10}
+
+# nodes
+nodes = ['R12_AFR', 'R12_EEU', 'R12_LAM', 
+         'R12_MEA', 'R12_NAM', 'R12_SAS', 
+         'R12_WEU', 'R12_FSU', 'R12_PAO', 
+         'R12_PAS', 'R12_CHN', 'R12_RCPA', 'R12_GLB']
+
+# years
+years = [year for year in list(len_periods.keys()) 
+         if year > 2025]
+
+
+# SSPs to run
+ssps = ["LED","SSP1","SSP2","SSP3","SSP4","SSP5"]
+ssps = ["SSP2"]
+
+# SSPs CCS parameters
+ccs_ssp_pars = {
+    "LED":{
+        "co2storage": 0.25,
+        "co2rate"   : 4000/3.667,
+    },
+    "SSP1":{
+        "co2storage": 0.25,
+        "co2rate"   : 4000/3.667,
+    },
+    "SSP2":{
+        "co2storage": 0.50,
+        "co2rate"   : 9000/3.667,
+    },
+    "SSP3":{
+        "co2storage": 1.00,
+        "co2rate"   : 15000/3.667,
+    },
+    "SSP4":{
+        "co2storage": 1.00,
+        "co2rate"   : 15000/3.667,
+    },
+    "SSP5":{
+        "co2storage": 1.00,
+        "co2rate"   : 15000/3.667,
+    },
+}
+
+
+# scenario parameters list for edit
+co2_pipes = ['co2_tr_dis', 'bco2_tr_dis']
+co2_pipes_par = [
+    'inv_cost',
+    'fix_cost',
+    'input',
+    'capacity_factor',
+    'technical_lifetime',
+    'construction_time',
+    'abs_cost_activity_soft_up',
+    'growth_activity_lo',
+    'level_cost_activity_soft_lo',
+    'level_cost_activity_soft_up',
+    'relation_activity',
+    'var_cost',
+    'output',
+    'emission_factor',
+    'soft_activity_lo',
+    'soft_activity_up',
+    'growth_activity_up',
+    'initial_activity_up',
+]
+
+ccs_techs = [
+    # BECCS
+    'bio_istig_ccs',
+    'biomass_NH3_ccs',
+    'bio_ppl_co2scr',
+    'eth_bio_ccs',
+    'meth_bio_ccs',
+    'h2_bio_ccs',
+    'liq_bio_ccs',
+    # Fossil and Industrial CCS
+    'bf_ccs_steel',
+    'c_ppl_co2scr',
+    'clinker_dry_ccs_cement',
+    'clinker_wet_ccs_cement',
+    'coal_adv_ccs',
+    'coal_NH3_ccs',
+    'dri_gas_ccs_steel',
+    'fueloil_NH3_ccs',
+    'g_ppl_co2scr',
+    'gas_cc_ccs', 
+    'gas_NH3_ccs',
+    'h2_coal_ccs',
+    'h2_smr_ccs',
+    'igcc_ccs',
+    'meth_coal_ccs',
+    'meth_ng_ccs',
+    'syn_liq_ccs',
+    # DACCS
+    "dac_lt",
+    "dac_hte",
+    "dac_htg",
+]
+
+dac_techs = [
+    "dac_lt", 
+    "dac_hte", 
+    "dac_htg"
+]
+
+def gen_te_projections(
+    scen: message_ix.Scenario,
+    ssp: Literal["all", "LED", "SSP1", "SSP2", "SSP3", "SSP4", "SSP5"] = "SSP2",
+    method: Literal["constant", "convergence", "gdp"] = "convergence",
+    ref_reg: str = "R12_NAM",
+) -> tuple[pd.DataFrame, pd.DataFrame]:
+    """
+    Calls message_ix_models.tools.costs with config for MESSAGEix-Materials
+    and return inv_cost and fix_cost projections for energy and materials
+    technologies
+
+    Parameters
+    ----------
+    scen: message_ix.Scenario
+        Scenario instance is required to get technology set
+    ssp: str
+        SSP to use for projection assumptions
+    method: str
+        method to use for cost convergence over time
+    ref_reg: str
+        reference region to use for regional cost differentiation
+
+    Returns
+    -------
+    tuple[pd.DataFrame, pd.DataFrame]
+        tuple with "inv_cost" and "fix_cost" DataFrames
+    """
+    model_tec_set = dac_techs
+    cfg = Config(
+        module="dac",
+        ref_region=ref_reg,
+        method=method,
+        format="message",
+        scenario=ssp,
+        final_year=2110,
+    )
+    out_materials = create_cost_projections(cfg)
+    fix_cost = (
+        out_materials["fix_cost"]
+        .drop_duplicates()
+        .drop(["scenario_version", "scenario"], axis=1)
+    )
+    fix_cost = fix_cost[fix_cost["technology"].isin(model_tec_set)]
+    inv_cost = (
+        out_materials["inv_cost"]
+        .drop_duplicates()
+        .drop(["scenario_version", "scenario"], axis=1)
+    )
+    inv_cost = inv_cost[inv_cost["technology"].isin(model_tec_set)]
+    return inv_cost, fix_cost
+
+for ssp in ssps:
+    mp = ixmp.Platform()
+    
+    # calling base scenario
+    model_name = f'SSP_dev_{ssp}_v1.0_testco2v3'
+    scen_name  = "baseline"
+    
+    base_scen = message_ix.Scenario(
+        mp, 
+        model = model_name, 
+        scenario = scen_name
+    )
+    
+    # clone scenario to add CCS infrastructure and DAC
+    scen = base_scen.clone(
+        f"SSP_dev_{ssp}_v1.0_testco2v3_split",
+        "baseline",
+        "scenario with CCS infrastructure and DAC",
+        keep_solution=False, 
+    )
+    scen.check_out()
+
+    
+    # ==============================================
+    # Remove old setup ================================
+    ## rem. relations
+    rels = ['co2_trans_disp',
+            'bco2_trans_disp',
+            'CO2_Emission_Global_Total', 
+            'CO2_Emission','CO2_PtX_trans_disp_split']
+
+    scen.remove_par(
+        "relation_activity", 
+        scen.par("relation_activity",
+                 {'technology':co2_pipes + ccs_techs,
+                  'relation':rels})
+    )
+    
+    ## rem. 'CO2_PtX_trans_disp_split' fro relation set
+    scen.remove_set('relation','CO2_PtX_trans_disp_split')
+    
+    ## rem. pipelines
+    for par in co2_pipes_par:
+        scen.remove_par(
+            par, scen.par(par,
+                          {'technology':co2_pipes})
+        )
+
+    ## rem. co2 pipeline sets    
+    scen.remove_set('technology',co2_pipes)
+    scen.remove_set(
+        'relation', 
+        ['co2_trans_disp', 'bco2_trans_disp']
+    )
+    
+    
+    # ==============================================
+    # Add new setup ================================
+    ## setup pipelines, storage, and non-dac ccs technologies
+    filepath = r'C:\Users\pratama\Documents\GitHub\MESSAGEix\message-ix-models\message_ix_models\data\ccs-dac'
+    add_tech(scen,filepath=filepath+f'\co2infrastructure_data_{ssp}dev.yaml')
+    
+    ## setup dac technologies
+    filepath = r'C:\Users\pratama\Documents\GitHub\MESSAGEix\message-ix-models\message_ix_models\data\ccs-dac'
+    add_tech(scen,filepath=filepath+f'\daccs_setup_data_{ssp}dev.yaml')
+    
+    ## add dac costs using meas's tool
+    ##> making the projection
+    inv_cost_dac, fix_cost_dac  = gen_te_projections(scen, ssp, 'gdp')
+
+    inv_cost_dac = inv_cost_dac[inv_cost_dac['technology'].isin(dac_techs)]
+    fix_cost_dac = fix_cost_dac[fix_cost_dac['technology'].isin(dac_techs)]
+    
+    ##> adding the costs to the model
+    scen.add_par('inv_cost', inv_cost_dac)
+    scen.add_par('fix_cost', fix_cost_dac)
+    
+    ## removing excess year_act
+    pars2remove = ['capacity_factor','fix_cost','input','output']
+    ##> use 2030 R12_NAM as basis to get technology lifetime
+    lt = scen.par("technical_lifetime", 
+                    {"technology":ccs_techs, 
+                     "node_loc":"R12_NAM", 
+                     "year_vtg":2030})
+    for par in pars2remove:
+        df2remove = []
+        df = scen.par(par,{'technology':ccs_techs})
+        rem_techs = ccs_techs if par == 'output' else dac_techs
+        for tech in rem_techs:
+            lt_tech = np.int32(lt[lt["technology"]==tech]["value"].iloc[0])
+            df2remove_tech = df[df['year_act'] > df['year_vtg'].add(lt_tech)]
+            df2remove_tech = df2remove_tech[df2remove_tech['technology'] == tech]
+            df2remove += [df2remove_tech]
+        df2remove = pd.concat(df2remove)
+        scen.remove_par(par, df2remove)
+    
+    ## make pipelines and storage a single period technology
+    newpipesnstors = ['co2_stor','co2_trans1', 'co2_trans2']
+    pars2remove = ['var_cost','input','output','emission_factor','capacity_factor']
+    for par in pars2remove:
+        df = scen.par(par,{'technology':newpipesnstors})
+        df= df.loc[df['year_vtg'] != df['year_act']]
+        scen.remove_par(par, df)
+
+        
+    # ==============================================
+    # Setup technology and relations to track cumulative storage
+    ## adding new set and technologies
+    scen.add_set("technology","co2_storcumulative")
+    
+    ## each storage mode is represented by one relation
+    for mode in modes:
+        scen.add_set("relation", f"co2_storcum_{mode}")
+
+    ## create relation activity
+    list_relation = []
+    for node in nodes:
+        for mode in modes:
+            for yr in years:
+                ya = [y for y in years if y <= yr]
+                relact_co2stor = make_df("relation_activity",
+                            relation=f"co2_storcum_{mode}",
+                            node_rel=node,
+                            year_rel=yr,
+                            node_loc=node,
+                            technology="co2_stor",
+                            year_act=ya,
+                            mode=mode,
+                            value= [-1 * len_periods[y] for y in ya],
+                            unit = "-"
+                       )
+
+                relact_co2storcumulative = make_df("relation_activity",
+                            relation=f"co2_storcum_{mode}",
+                            node_rel=node,
+                            year_rel=yr,
+                            node_loc=node,
+                            technology="co2_storcumulative",
+                            year_act=yr,
+                            mode=mode,
+                            value=1,
+                            unit = "-"
+                       )
+                list_relation += [relact_co2stor, relact_co2storcumulative]
+    df_relation = pd.concat(list_relation)
+
+    ## create relation bounds
+    list_rel_eq = []
+    for node in nodes:
+        for mode in modes:
+            rel_eq = make_df("relation_upper",
+                    relation = f"co2_storcum_{mode}",
+                    node_rel = node,
+                    year_rel = years,
+                    value = 0,
+                    unit = "-"
+                   )
+            list_rel_eq += [rel_eq]
+    df_rel_eq = pd.concat(list_rel_eq)
+
+    ## adding parameters
+    scen.add_par("relation_activity", df_relation)
+    scen.add_par("relation_upper", df_rel_eq)
+    scen.add_par("relation_lower", df_rel_eq)
+    
+    
+    # adding set up for limiting CO2 storage availabilities
+    nodes = [node for node in nodes if node not in ["R12_GLB","World"]]
+    df_list = []
+    for node in nodes:
+        for year in years:
+            df = make_df("bound_activity_up",
+                         node_loc=node,
+                         technology="co2_storcumulative",
+                         year_act=year,
+                         mode="all",
+                         time="year",
+                         value = (R12_potential[node] 
+                                  * ccs_ssp_pars[ssp]["co2storage"]),
+                         unit = "???",
+                        )
+            df_list += [df]
+    df_stor = pd.concat(df_list)
+    
+    scen.add_par("bound_activity_up", df_stor)
+
+    
+    # ==============================================
+    # Setup tech and relations to limit global CO2 injection
+    
+    ## adding new set and technologies
+    scen.add_set("technology","co2_stor_glb")
+    for mode in modes:
+        scen.add_set("relation",f"co2_storglobal_{mode}")
+
+    ## create relation activity
+    list_relation = []
+    for mode in modes:
+        for yr in years:
+            for node in nodes:
+                relact_co2stor = make_df("relation_activity",
+                            relation=f"co2_storglobal_{mode}",
+                            node_rel="R12_GLB",
+                            year_rel=yr,
+                            node_loc=node,
+                            technology="co2_stor",
+                            year_act=yr,
+                            mode=mode,
+                            value= -1,
+                            unit = "-"
+                       )
+                list_relation += [relact_co2stor]
+            relact_co2stor_glb = make_df("relation_activity",
+                        relation=f"co2_storglobal_{mode}",
+                        node_rel="R12_GLB",
+                        year_rel=yr,
+                        node_loc="R12_GLB",
+                        technology="co2_stor_glb",
+                        year_act=yr,
+                        mode=mode,
+                        value=1,
+                        unit = "-"
+                   )
+            list_relation += [relact_co2stor_glb]
+    df_relation = pd.concat(list_relation)
+
+    ## create relation bounds
+    list_rel_eq = []
+    for mode in modes:
+        rel_eq = make_df("relation_upper",
+                relation = f"co2_storglobal_{mode}",
+                node_rel = "R12_GLB",
+                year_rel = years,
+                value = 0,
+                unit = "-"
+               )
+        list_rel_eq += [rel_eq]
+    df_rel_eq = pd.concat(list_rel_eq)
+
+    ## adding parameters
+    scen.add_par("relation_activity", df_relation)
+    scen.add_par("relation_upper", df_rel_eq)
+    scen.add_par("relation_lower", df_rel_eq)
+    
+    df_list = []
+    for year in years:
+        df = make_df("bound_activity_up",
+                     node_loc="R12_GLB",
+                     technology="co2_stor_glb",
+                     year_act=year,
+                     mode="all",
+                     time="year",
+                     value = ccs_ssp_pars[ssp]["co2rate"],
+                     unit = "???",
+                    )
+        df_list += [df]
+    df_co2ratelim = pd.concat(df_list)
+    
+    ## adding parameters
+    scen.add_par("bound_activity_up", df_co2ratelim)
+    
+    
+    # ==============================================
+    ## Setup relation_upper and _lower for DAC market penetration limit
+    rels = ["DAC_mpen_c"]
+    df_list = []
+    for rel in rels:
+        for node in nodes:
+            df = make_df("relation_upper",
+                         relation=rel,
+                         node_rel=node,
+                         year_rel=years,
+                         unit = "-",
+                         value = 0
+                        )
+            df_list = df_list + [df]
+    dfpar2add = pd.concat(df_list)
+    scen.add_par("relation_upper", dfpar2add)
+    scen.add_par("relation_lower", dfpar2add)
+    
+    scen.commit(comment=f"{ssp} baseline with dac and CCS infrastructure")
+    
+    with scen.transact(""):
+        scen.add_set("balance_equality", ["bic_co2", "secondary"])
+        scen.add_set("balance_equality", ["fic_co2", "secondary"])
+        scen.add_set("balance_equality", ["dac_co2", "secondary"])
+        scen.add_set("balance_equality", ["methanol", "final_material"])
+        scen.add_set("balance_equality", ["HVC", "demand"])
+        scen.add_set("balance_equality", ["HVC", "export"])
+        scen.add_set("balance_equality", ["HVC", "import"])
+        scen.add_set("balance_equality", ["ethylene", "final_material"])
+        scen.add_set("balance_equality", ["propylene", "final_material"])
+        scen.add_set("balance_equality", ["BTX", "final_material"])
+
+    scen.set_as_default()
+    
+    scen.solve(solve_options={'scaind':'-1'})
+    
+    # close connection with the database
+    mp.close_db()
+    
\ No newline at end of file
diff --git a/message_ix_models/project/ssp/script/scenarios/low.py b/message_ix_models/project/ssp/script/scenarios/low.py
new file mode 100644
index 0000000000..1a2c5095ec
--- /dev/null
+++ b/message_ix_models/project/ssp/script/scenarios/low.py
@@ -0,0 +1,96 @@
+import ixmp  # type: ignore
+import message_ix  # type: ignore
+
+from message_ix_models.project.ssp.script.util.functions import (
+    add_balance_equality,
+    add_steel_sector_nze,
+    modify_steel_growth,
+    modify_steel_initial,
+    remove_bof_steel_lower,
+)
+
+# selections
+sel_scen = "SSP1"
+scen_suffix = ""
+rem_bof_steel = True
+mod_growth_steel = True
+mod_initial_steel = True
+add_steel_target = False
+
+# parameters
+trp_year_start = 2035
+mult_price = 5.5
+rc_years = [2060, 2070, 2080, 2090, 2100, 2110]
+steel_years = [2030, 2035, 2040, 2045, 2050, 2055, 2060, 2070, 2080, 2090, 2100, 2110]
+steel_growth = 0.075
+steel_inital = 1.0
+nze_targets = [
+    4.2,
+    3.7,
+    3.2,
+    2.7,
+]
+
+# model and scenario names
+snames = {"SSP1": "SSP1 - Low Emissions", "SSP2": "SSP2 - Low Emissions"}
+svers = {"SSP1": 1, "SSP2": 1}
+model_orig = "SSP_" + sel_scen + "_v1.0"
+scenario_orig = snames[sel_scen]
+
+if rem_bof_steel:
+    scen_suffix += "_bof"
+if mod_growth_steel:
+    scen_suffix += "_growth"
+if mod_initial_steel:
+    scen_suffix += "_initial"
+if add_steel_target:
+    scen_suffix += "_nzsteel"
+
+# target scenario
+model_target = "MM_ScenarioMIP"
+scenario_target = "Low_" + sel_scen + scen_suffix  # + "_v" + str(scen_vers)
+
+# connect to database
+mp = ixmp.Platform("ixmp_dev")
+
+# load scenario
+s_orig = message_ix.Scenario(
+    mp, model=model_orig, scenario=scenario_orig, version=svers[sel_scen]
+)
+
+# clone scenario
+s_tar = s_orig.clone(model_target, scenario_target, keep_solution=False)
+s_tar.set_as_default()
+
+# modify steel sector
+if rem_bof_steel:
+    remove_bof_steel_lower(s_tar, steel_years)
+
+if mod_growth_steel:
+    modify_steel_growth(
+        s_tar,
+        ["dri_gas_steel", "dri_h2_steel", "eaf_steel"],
+        steel_years,
+        steel_growth,
+    )
+
+if mod_initial_steel:
+    modify_steel_initial(
+        s_tar,
+        ["dri_gas_steel", "dri_h2_steel"],
+        steel_years,
+        steel_inital,
+    )
+
+if add_steel_target:
+    add_steel_sector_nze(s_tar, nze_targets)
+
+# add balance equality
+add_balance_equality(s_tar)
+
+solve_typ = "MESSAGE-MACRO"
+solve_args = dict(model=solve_typ)
+s_tar.solve(**solve_args)
+s_tar.set_as_default()
+
+mp.close_db()
diff --git a/message_ix_models/project/ssp/script/scenarios/low_overshoot.py b/message_ix_models/project/ssp/script/scenarios/low_overshoot.py
new file mode 100644
index 0000000000..353f0a9c39
--- /dev/null
+++ b/message_ix_models/project/ssp/script/scenarios/low_overshoot.py
@@ -0,0 +1,436 @@
+import ixmp
+import message_ix
+import numpy as np
+import pandas as pd
+import yaml
+
+from collections.abc import Mapping
+from itertools import repeat
+from message_ix.models import MESSAGE_ITEMS
+from message_ix.utils import make_df
+
+from typing import Literal
+
+%matplotlib inline
+
+# Function to add share constraints for end-use technologies
+def add_UE_share_constraints(
+    scen,
+    path_UE_share_input,
+    ssp="SSP2",
+    start_year=None,
+    calibration_year=None,
+    period_interpol=4,
+    clean_relations=False,
+    verbose=False,
+):
+    """Add share constraints for end-use technologies.
+
+    The purpose of this script is to add share constraints for the end-use
+    sectors, thereby replacing any exisiting relation based share constraints
+    in the process.
+    The share constraint parametrization is read from an Excel-file and has
+    been setup so that it can be applied to all five SSPs. Some constraints
+    are applicable for multiple SSPs and nodes.
+    The share constraints are parameterized so that the total to which the
+    share is applied is derived based on a level/commodity and the
+    technologies contributing to a share are specified individually. Shares
+    with a value of 1. are not added to the model. In the process of adding
+    the share constraints, a check is undertaken to ensure that the share
+    constraint values do do not violate the calibrated baseyear shares. If
+    they do, then the baseyear share value is interpolated, so that the
+    target-share value as specied in the Excel-file are gradually achieved
+    over time.
+
+    Parameters
+    ----------
+    scen : :class:`message_ix.Scenario`
+        scenario to which changes should be applies
+    ssp : string
+        specify for which SSP the parameters should be added
+    start_year : int
+        specify the year as of which constraints should be added;
+        If None, then `firstmodelyear`
+    calibration_year : int
+        specify the last year for data has been calibrated
+        If None, the `firstmodelyear` -1
+    period_intpol : int (default=4)
+        the number of time periods (not years) over which deviations
+        converge
+    clean_relations : boolean
+        option whether to entirely remove all relation based UE share
+        constraints.
+    verbose : boolean (default=False)
+        option whether to primnt onscreen messages.
+    """
+
+    # Remove all existing UE_ growth constraints
+    if clean_relations is True:
+        with scen.transact("Remove UE relations"):
+            remove_rel = [r for r in scen.set("relation") if r.find("UE_") >= 0]
+            scen.remove_set("relation", remove_rel)
+
+            remove_tec = [t for t in scen.set("technology") if t.find("useful_") >= 0]
+            scen.remove_set("technology", remove_tec)
+
+    # Retrieve share constraint input data
+    data = pd.read_excel(path_UE_share_input)
+
+    # Retrieve list of scenario years
+    years = scen.set("year").tolist()
+
+    # If start_year is None, set to `firstmodelyear`
+    if start_year is None:
+        start_year = scen.firstmodelyear
+
+    # If calibration_year is None, set to `firstmodelyear`
+    if calibration_year is None:
+        calibration_year = years[years.index(scen.firstmodelyear) - 1]
+
+    # Ensure that the data is relevant for the current SSP
+    data_gen = data.loc[data.SSP == "all"]
+    data_ssp = data.loc[data.SSP == ssp]
+
+    for i in data_ssp.index:
+        if data_ssp.loc[i, "node"] == "all":
+            data_gen = data_gen.loc[
+                ~(data_gen.share_name == data_ssp.loc[i, "share_name"])
+            ]
+        else:
+            data_gen = data_gen.loc[
+                ~(
+                    (data_gen.share_name == data_ssp.loc[i, "share_name"])
+                    & (data_gen.node == data_ssp.loc[i, "node"])
+                )
+            ]
+    data = pd.concat([data_ssp, data_gen]).reset_index().drop("index", axis=1)
+
+    # Start workflow to add parameters
+    with scen.transact(""):
+        for i in data.index:
+            row = data.iloc[i]
+
+            if row.share_name in scen.set("relation").tolist():
+                if verbose:
+                    print(f"Removing relation {row.share_name}")
+                scen.remove_set("relation", row.share_name)
+
+            # Skip if share is 100%
+            if row.target_value == 1:
+                continue
+
+            # Derive individual elements required for parametrization
+            # Assign share names
+            share_name = row.share_name
+            if share_name not in scen.set("shares").tolist():
+                if verbose:
+                    print(f"Adding share {row.share_name}")
+                scen.add_set("shares", share_name)
+
+            # Derive names of share total and share
+            share_name_total = f"{share_name}_total"
+            share_name_share = f"{share_name}_share"
+
+            # Assign technologies
+            tec_list_share = row.share_tec.split(",")
+
+            # Ensure that the output of the technologies have the same output
+            # as defined for "commodity" and "useful"
+            check_output = scen.par("output", filters={"technology": tec_list_share})[
+                ["commodity", "level"]
+            ].drop_duplicates()
+            assert row.commodity in check_output.commodity.tolist()
+            assert row.level in check_output.level.tolist()
+
+            # Retrieve all technologies which have an outout onto the desired
+            # "commodity" and "level"
+            output = scen.par(
+                "output", filters={"level": row.level, "commodity": row.commodity}
+            )
+            tec_list_total = output.technology.unique().tolist()
+
+            # Add technologies to new type_tec
+            for tec in tec_list_total:
+                cur_type_tec = scen.set(
+                    "cat_tec", filters={"type_tec": share_name_total}
+                ).technology.tolist()
+                if tec not in cur_type_tec:
+                    scen.add_cat("technology", share_name_total, tec)
+
+            for tec in tec_list_share:
+                cur_type_tec = scen.set(
+                    "cat_tec", filters={"type_tec": share_name_share}
+                ).technology.tolist()
+                if tec not in cur_type_tec:
+                    scen.add_cat("technology", share_name_share, tec)
+
+            # Define nodes, if "all" then all are retrieved from the output
+            # for which the target share technology is available
+            if row.node == "all":
+                nodes = output.loc[
+                    output.technology.isin(tec_list_share)
+                ].node_loc.unique()
+            else:
+                nodes = [f"R12_{r}" for r in row.node.split(",")]
+
+            # Assign type_tec to map_shares_commodity_total
+            for n in nodes:
+                df = pd.DataFrame(
+                    {
+                        "shares": share_name,
+                        "node_share": n,
+                        "node": n,
+                        "type_tec": share_name_total,
+                        "mode": output.loc[
+                            (output.technology.isin(tec_list_total))
+                            & (output.node_loc == n)
+                        ]["mode"]
+                        .unique()
+                        .tolist(),
+                        "commodity": row.commodity,
+                        "level": row.level,
+                    }
+                )
+                scen.add_set("map_shares_commodity_total", df)
+
+            # Assign type_tec to map_shares_commodity_total
+            for n in nodes:
+                df = pd.DataFrame(
+                    {
+                        "shares": share_name,
+                        "node_share": n,
+                        "node": n,
+                        "type_tec": share_name_share,
+                        "mode": output.loc[
+                            (output.technology.isin(tec_list_share))
+                            & (output.node_loc == n)
+                        ]["mode"]
+                        .unique()
+                        .tolist(),
+                        "commodity": row.commodity,
+                        "level": row.level,
+                    }
+                )
+                scen.add_set("map_shares_commodity_share", df)
+
+            # Derive shares of activity in the calibration_year
+            if calibration_year >= scen.firstmodelyear:
+                par = "bound_activity_lo"
+            else:
+                par = "historical_activity"
+            act_total = scen.par(
+                par,
+                filters={
+                    "node_loc": nodes,
+                    "technology": tec_list_total,
+                    "year_act": calibration_year,
+                },
+            )
+            act_total = act_total.groupby(["node_loc"]).sum(numeric_only=True)[
+                ["value"]
+            ]
+
+            act_share = scen.par(
+                "bound_activity_lo",
+                filters={
+                    "node_loc": nodes,
+                    "technology": tec_list_share,
+                    "year_act": calibration_year,
+                },
+            )
+            act_share = act_share.groupby(["node_loc"]).sum(numeric_only=True)[
+                ["value"]
+            ]
+
+            baseyear_share = round((act_share / act_total) * 1000) / 1000
+            baseyear_share = baseyear_share.dropna()
+
+            # Create timeseries for values
+            share_type = (
+                "share_commodity_lo"
+                if row.share_type == "lower"
+                else "share_commodity_up"
+            )
+
+            # If "baseyear" then add timeseries with baseyear values for all years
+            if row.target_value == "baseyear":
+                for n in nodes:
+                    if n not in baseyear_share.index.values:
+                        val = 0
+                    else:
+                        val = baseyear_share.loc[n].value
+                    df = pd.DataFrame(
+                        {
+                            "shares": share_name,
+                            "node_share": n,
+                            "year_act": [
+                                y for y in scen.set("year") if y >= start_year
+                            ],
+                            "time": "year",
+                            "value": val,
+                            "unit": "-",
+                        }
+                    )
+                    scen.add_par(share_type, df)
+
+            else:
+                for n in nodes:
+                    if row.target_value == "TS":
+                        # Create timeseries dataframe
+                        ts = pd.DataFrame(
+                            row[[y for y in row.index if y in years]]
+                        ).rename(columns={i: "value"})
+                        ts.value = ts.value.astype(float)
+                    else:
+                        ts = pd.DataFrame(
+                            {
+                                "year_act": [y for y in years if y >= calibration_year],
+                                "value": row.target_value,
+                            }
+                        ).set_index("year_act")
+                    if n not in baseyear_share:
+                        baseval = ts.iloc[0].value
+                    else:
+                        baseval = baseyear_share.loc[n].value
+                    # Check if timeseries value is smaller than baseyear_share
+                    check = True
+                    if row.share_type == "lower":
+                        # If lower, check if baseyear share value is smaller
+                        # than the target value if it is, then the interpolate
+                        # to gradually reduce the share.
+                        check = baseval < ts.iloc[0].value
+                    elif row.share_type == "upper":
+                        # If upper, check if baseyear share value is larger
+                        # than the target value if it is, then the interpolate
+                        # to gradually increase the share.
+                        check = baseval < ts.iloc[0].value
+                    if check == False:
+                        if calibration_year not in ts.index:
+                            ts = pd.concat(
+                                [
+                                    pd.DataFrame(
+                                        {"year": calibration_year, "value": [baseval]}
+                                    ).set_index("year"),
+                                    ts,
+                                ]
+                            )
+                        else:
+                            ts.loc[calibration_year, "value"] = baseval
+                        ts.loc[
+                            years[
+                                years.index(calibration_year)
+                                + 1 : years.index(calibration_year)
+                                + period_interpol
+                            ],
+                            "value",
+                        ] = np.nan
+
+                        # Interpolate values
+                        ts = ts.interpolate(method="index")
+
+                    # Assign the remaining index values
+                    ts = (
+                        ts.assign(
+                            shares=share_name, node_share=n, time="year", unit="-"
+                        )
+                        .reset_index()
+                        .rename(columns={"index": "year_act"})
+                    )
+
+                    # Filter out years >= the start_year, so the year as of
+                    # which parameters should be added
+                    ts = ts.loc[ts.year_act >= start_year]
+                    scen.add_par(share_type, ts)
+
+# Relaxation parameters for low overshoot scenarios
+# SSP: [injection rate, storage]
+ssps = {"SSP2":np.round(22000/3.667,0), 
+        "SSP4":np.round(22000/3.667,0),
+        "SSP5":np.round(32000/3.667,0)}
+
+for ssp in ssps.keys():
+    mp = ixmp.Platform()
+
+    emiss_bound_name = "600f"
+
+    sbase = message_ix.Scenario(mp, model=f"SSP_{ssp}_v1.0",
+                                scenario=f"NPi2030_{emiss_bound_name}")
+    
+    s2run = sbase.clone(
+        f"SSP_{ssp}_v1.0",
+        f"{ssp} - Low Overshoot",
+        keep_solution=False,
+    )
+    s2run.check_out()
+    
+    # Relaxing co2 injection rate constraint
+    df2rem = s2run.par("bound_activity_up",{
+        "technology":"co2_stor_glb"})
+    df2add = df2rem.copy()
+    df2add["value"] = ssps[ssp]
+    
+    s2run.remove_par("bound_activity_up",df2rem)
+    s2run.add_par("bound_activity_up", df2add)  # comment out if want unlimited injection rate
+    
+    # Relaxing trans1 activity up
+    # no longer implemented
+    #df2rem = s2run.par("bound_activity_up",{
+    #    "technology":"co2_trans1"})
+    #s2run.remove_par("bound_activity_up",df2rem)
+    
+    # Removing co2 storage share constraint
+    # no longer implemented
+    if ssp != "SSP5":
+        df2rem = s2run.par("share_mode_lo",{
+            "technology":"co2_storcumulative"})
+        s2run.remove_par("share_mode_lo",df2rem)
+        
+    # updating emission bound
+    df2rem = s2run.par("bound_emission",
+                       {"node":"World",
+                        "type_emission":"TCE",
+                        "type_year":"cumulative"})
+    df2add = df2rem.copy()
+    df2add["value"] = -300
+    
+    s2run.remove_par("bound_emission",df2rem)
+    s2run.add_par("bound_emission", df2add)
+    
+    # increasing storage limit
+    df2rem = s2run.par("bound_activity_up",{"technology":"co2_storcumulative"})
+    df2add = df2rem.copy()
+    df2add["value"] = df2rem["value"].mul(100)
+    
+    s2run.remove_par("bound_activity_up",df2rem)
+    #s2run.add_par("bound_activity_up", df2add) # currently set to unlimited
+    
+    # Remove transport thing
+    # Yoga: I comment this out as this is perhaps need to be done in the transport
+    # so I don't interefere with any updates performed by the transport team
+    # ---
+    # ---> from here
+    #s2run.remove_set("shares", "UE_transport_fossil_Minimum")
+    #s2run.add_set("technology", ['meth_fc_trp','meth_ic_trp'])
+
+    #s2run.commit(comment=f"modify scenario parameters for {ssp}_Low Overshoot")
+
+    #input_path = "C:/Users/pratama/Documents/GitHub/MESSAGEix/message_ix/tutorial/dac_scenarios/SSPs"
+    #file_name = "/ue_share_constraints.xlsx"
+    #add_UE_share_constraints(
+    #        s2run, # scenario object
+    #        input_path+file_name, # path
+    #        ssp="SSP5", # SSP-name i.e "LED"
+    #        start_year=2035, # the year as of which a constraint should be added, best this is the firstmodelyear for your case
+    #        calibration_year=2020, # 2020
+    #        clean_relations=False, # set to False
+    #        verbose=True, # set to True
+    #    )
+    # ---> until here
+
+    s2run.solve(solve_options={'scaind': '-1'})
+    print(ssp, "objective value:", s2run.var("OBJ")["lvl"])
+
+    s2run.set_as_default()        
+    
+    # CLOSE CONNECTION
+    mp.close_db()
diff --git a/message_ix_models/project/ssp/script/scenarios/very_low.py b/message_ix_models/project/ssp/script/scenarios/very_low.py
new file mode 100644
index 0000000000..d416a79475
--- /dev/null
+++ b/message_ix_models/project/ssp/script/scenarios/very_low.py
@@ -0,0 +1,127 @@
+import os
+
+import ixmp  # type: ignore
+import message_ix  # type: ignore
+
+from message_ix_models.project.ssp.script.util.functions import (
+    add_balance_equality,
+    add_steel_sector_nze,
+    modify_rc_bounds,
+    modify_steel_growth,
+    modify_steel_initial,
+    modify_tax_emission,
+    remove_bof_steel_lower,
+)
+from message_ix_models.project.ssp.script.util.shares import (
+    main as add_UE_share_constraints,
+)
+from message_ix_models.util import package_data_path
+
+# selections
+sel_scen = "LED"
+scen_suffix = "g05_e9"
+rem_bof_steel = True
+mod_growth_steel = True
+mod_initial_steel = True
+add_steel_target = False
+file_ue = "trp_gas0.05_elec0.9.xlsx"
+
+# parameters
+trp_year_start = 2035
+mult_price = 5.5
+rc_years = [2060, 2070, 2080, 2090, 2100, 2110]
+steel_years = [2030, 2035, 2040, 2045, 2050, 2055, 2060, 2070, 2080, 2090, 2100, 2110]
+steel_growth = 0.075
+steel_inital = 1.0
+nze_targets = [
+    0,
+    0,
+    0,
+    0,
+]
+
+# scenario names
+snames = {"SSP1": "SSP1 - Very Low Emissions", "LED": "SSP2 - Very Low Emissions"}
+svers = {"SSP1": 1, "LED": 2}
+model_orig = "SSP_" + sel_scen + "_v1.0"
+scenario_orig = snames[sel_scen]
+
+if rem_bof_steel:
+    scen_suffix += "_bof"
+if mod_growth_steel:
+    scen_suffix += "_growth"
+if mod_initial_steel:
+    scen_suffix += "_initial"
+if add_steel_target:
+    scen_suffix += "_nzsteel"
+
+# read UE share file
+path_ue = package_data_path("ue-shares")
+path_ue_file = os.path.join(path_ue, file_ue)
+
+# target scenario
+model_target = "MM_ScenarioMIP"
+scenario_target = "VL_" + sel_scen + "_" + scen_suffix
+
+# connect to database
+mp = ixmp.Platform("ixmp_dev")
+
+# load scenario
+s_orig = message_ix.Scenario(
+    mp, model=model_orig, scenario=scenario_orig, version=svers[sel_scen]
+)
+
+# clone scenario
+s_tar = s_orig.clone(model_target, scenario_target, keep_solution=False)
+s_tar.set_as_default()
+
+# modify bounds for some fuels in residential and commercial sector
+modify_rc_bounds(s_orig, s_tar, rc_years)
+
+# add UE share constraints to transport
+add_UE_share_constraints(
+    s_tar,  # scenario object
+    path_UE_share_input=path_ue_file,  # path
+    ssp=sel_scen,  # SSP-name i.e "LED"
+    start_year=trp_year_start,  # the year as of which a constraint should be added
+    calibration_year=2020,  # 2020
+    clean_relations=False,  # set to False
+    verbose=True,  # set to True
+)
+
+# modify tax/price emissions
+modify_tax_emission(s_orig, s_tar, mult_price)
+
+# modify steel sector
+if rem_bof_steel:
+    remove_bof_steel_lower(s_tar, steel_years)
+
+if mod_growth_steel:
+    modify_steel_growth(
+        s_tar,
+        ["dri_gas_steel", "dri_h2_steel", "eaf_steel"],
+        steel_years,
+        steel_growth,
+    )
+
+if mod_initial_steel:
+    modify_steel_initial(
+        s_tar,
+        ["dri_gas_steel", "dri_h2_steel"],
+        steel_years,
+        steel_inital,
+    )
+
+if add_steel_target:
+    add_steel_sector_nze(s_tar, nze_targets)
+
+# add balance equality
+add_balance_equality(s_tar)
+
+# solve
+solve_typ = "MESSAGE-MACRO"
+solve_args = dict(model=solve_typ)
+s_tar.solve(**solve_args)
+s_tar.set_as_default()
+
+mp.close_db()
diff --git a/message_ix_models/project/ssp/script/util/__init__.py b/message_ix_models/project/ssp/script/util/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/message_ix_models/project/ssp/script/util/functions.py b/message_ix_models/project/ssp/script/util/functions.py
new file mode 100644
index 0000000000..9d3306c97e
--- /dev/null
+++ b/message_ix_models/project/ssp/script/util/functions.py
@@ -0,0 +1,735 @@
+from typing import Literal
+
+import message_ix
+import numpy as np
+import pandas as pd
+from message_ix.utils import make_df
+
+from message_ix_models.tools.add_dac import add_tech
+from message_ix_models.tools.costs.config import Config
+from message_ix_models.tools.costs.projections import create_cost_projections
+from message_ix_models.util import load_package_data
+
+
+def modify_rc_bounds(s_original, s_target, mod_years):
+    # get ACT for biomass_rc in SAS
+    act_bio = s_original.var(
+        "ACT", filters={"technology": "biomass_rc", "node_loc": "R12_SAS"}
+    )
+
+    # get ACT for loil_rc in SAS
+    act_loil_sas = s_original.var(
+        "ACT", filters={"technology": "loil_rc", "node_loc": "R12_SAS"}
+    )
+
+    val_bound_loil_sas = (
+        act_loil_sas.loc[act_loil_sas["year_act"] == 2055]
+        .reset_index()
+        ._get_value(0, "lvl")
+        .round(2)
+    )
+
+    # get ACT for loil_rc in MEA
+    act_loil_mea = s_original.var(
+        "ACT", filters={"technology": "loil_rc", "node_loc": "R12_MEA"}
+    )
+
+    val_bound_loil_mea = (
+        act_loil_mea.loc[act_loil_mea["year_act"] == 2055]
+        .reset_index()
+        ._get_value(0, "lvl")
+        .round(2)
+    )
+
+    # get bound_activity_up for biomass_rc in SAS
+    orig_bound_bio = s_original.par(
+        "bound_activity_up", filters={"technology": "biomass_rc", "node_loc": "R12_SAS"}
+    )
+
+    # get bound_activity_up for loil_rc in SAS
+    orig_bound_loil_sas = s_original.par(
+        "bound_activity_up", filters={"technology": "loil_rc", "node_loc": "R12_SAS"}
+    )
+
+    # get bound_activity_up for loil_rc in MEA
+    orig_bound_loil_mea = s_original.par(
+        "bound_activity_up", filters={"technology": "loil_rc", "node_loc": "R12_MEA"}
+    )
+
+    # function to get first row of bound and create new rows for set_years
+    # and replace value with specified value
+    def get_new_bound(df, set_years, value):
+        new_rows = []
+        for year in set_years:
+            new_row = df.iloc[0].copy()
+            new_row["year_act"] = year
+            new_row["value"] = value
+            new_rows.append(new_row)
+        df_new = pd.DataFrame(new_rows).reset_index(drop=True)
+        return df_new
+
+    new_bound_bio = get_new_bound(orig_bound_bio, mod_years, 0)
+    new_bound_loil_sas = get_new_bound(
+        orig_bound_loil_sas, mod_years, val_bound_loil_sas
+    )
+    new_bound_loil_mea = get_new_bound(
+        orig_bound_loil_mea, mod_years, val_bound_loil_mea
+    )
+
+    # check out and add each new bound_activity_up
+    s_target.check_out()
+    s_target.add_par("bound_activity_up", new_bound_bio)
+    s_target.add_par("bound_activity_up", new_bound_loil_sas)
+    s_target.add_par("bound_activity_up", new_bound_loil_mea)
+
+    # commit the changes
+    s_target.commit("New bounds added to biomass_rc and loil_rc")
+
+
+def modify_tax_emission(s_original, s_target, scalar_val):
+    # get PRICE_EMISSION variable
+    price_emission = s_original.var(
+        "PRICE_EMISSION", filters={"type_emission": "TCE_non-CO2"}
+    )
+
+    # get tax_emission parameter
+    tax_emission_old = s_original.par(
+        "tax_emission", filters={"type_emission": "TCE_non-CO2"}
+    )
+
+    # for PRICE_EMISSION after 2080, multiply by mult_price
+    price_emission_mod = (
+        price_emission.copy()
+        .assign(lvl=lambda x: x.lvl * scalar_val)[["year", "lvl"]]
+        .rename(columns={"year": "type_year"})
+    )
+
+    # merge with tax_emission
+    tax_emission_new = (
+        tax_emission_old.copy()
+        .assign(type_year=lambda x: x.type_year.astype("int64"))
+        .merge(price_emission_mod, on="type_year")
+        .assign(value=lambda x: np.where(x.type_year >= 2080, x.lvl, x.value))
+        .assign(type_emission="TCE")
+        .drop(columns="lvl")
+    )
+
+    # check out and add new tax_emission
+    s_target.check_out()
+    s_target.remove_par("tax_emission", tax_emission_old)
+    s_target.add_par("tax_emission", tax_emission_new)
+    s_target.commit("New tax_emission added")
+
+
+def remove_bof_steel_lower(s, rem_years):
+    remove_growth_activity_lo = s.par(
+        "growth_activity_lo",
+        filters={"technology": ["bof_steel"], "year_act": rem_years},
+    )
+    remove_initial_activity_lo = s.par(
+        "initial_activity_lo",
+        filters={"technology": ["bof_steel"], "year_act": rem_years},
+    )
+    s.check_out()
+    s.remove_par("growth_activity_lo", remove_growth_activity_lo)
+    s.remove_par("initial_activity_lo", remove_initial_activity_lo)
+    s.commit("bof_steel bounds removed")
+
+
+def modify_steel_growth(s, techs, rem_years, growth_val):
+    # get old values
+    old_growth_activity_up = s.par(
+        "growth_activity_up",
+        filters={"technology": techs, "year_act": rem_years},
+    )
+
+    # modify values
+    new_growth_activity_up = old_growth_activity_up.copy().assign(value=growth_val)
+
+    # check out; remove old bounds and add new bounds
+    s.check_out()
+    s.remove_par("growth_activity_up", old_growth_activity_up)
+    s.add_par("growth_activity_up", new_growth_activity_up)
+    s.commit("Modified bounds for steel alternatives")
+
+
+def modify_steel_initial(s, techs, rem_years, initial_val):
+    # get old values
+    old_initial_activity_up = s.par(
+        "initial_activity_up",
+        filters={"technology": techs, "year_act": rem_years},
+    )
+
+    # modify values
+    new_initial_activity_up = old_initial_activity_up.copy().assign(value=initial_val)
+
+    # check out; remove old bounds and add new bounds
+    s.check_out()
+    s.remove_par("initial_activity_up", old_initial_activity_up)
+    s.add_par("initial_activity_up", new_initial_activity_up)
+    s.commit("Modified bounds for steel alternatives")
+
+
+def add_steel_sector_nze(s, steel_target_array):
+    co2_ind = s.par(
+        "relation_activity",
+        filters={
+            "relation": "CO2_ind",
+            "technology": ["DUMMY_coal_supply", "DUMMY_gas_supply"],
+        },
+    )
+
+    co2_emi = s.par(
+        "output",
+        filters={
+            "commodity": "fic_co2",
+            "technology": ["dri_gas_ccs_steel", "bf_ccs_steel"],
+        },
+    )
+
+    co2_emi["relation"] = "CO2_Emission"
+    co2_emi.rename(columns={"node_dest": "node_rel"}, inplace=True)
+    co2_emi["year_rel"] = co2_emi["year_act"]
+    co2_emi.drop(
+        ["year_vtg", "commodity", "level", "time", "time_dest"], axis=1, inplace=True
+    )
+
+    co2_emi["value"] *= -1
+
+    rel_new = pd.concat([co2_ind, co2_emi], ignore_index=True)
+
+    rel_new = rel_new[rel_new["year_rel"] >= 2070]
+
+    rel_new["node_rel"] = "R12_GLB"
+    rel_new["relation"] = "steel_sector_target"
+
+    rel_new = rel_new.drop_duplicates()
+
+    s.check_out()
+    s.add_set("relation", "steel_sector_target")
+
+    relation_upper_df = pd.DataFrame(
+        {
+            "relation": "steel_sector_target",
+            "node_rel": "R12_GLB",
+            "year_rel": [2070, 2080, 2090, 2100],
+            "value": steel_target_array,  # slack values given from Gamze, added manually
+            "unit": "???",
+        }
+    )
+
+    relation_lower_df = pd.DataFrame(
+        {
+            "relation": "steel_sector_target",
+            "node_rel": "R12_GLB",
+            "year_rel": [2070, 2080, 2090, 2100],
+            "value": 0,
+            "unit": "???",
+        }
+    )
+
+    s.add_par("relation_activity", rel_new)
+    s.add_par("relation_upper", relation_upper_df)
+    s.add_par("relation_lower", relation_lower_df)
+
+    s.commit("Steel sector target added.")
+
+
+def add_balance_equality(scen):
+    with scen.transact(""):
+        scen.add_set("balance_equality", ["bic_co2", "secondary"])
+        scen.add_set("balance_equality", ["fic_co2", "secondary"])
+        scen.add_set("balance_equality", ["dac_co2", "secondary"])
+        scen.add_set("balance_equality", ["methanol", "final_material"])
+        scen.add_set("balance_equality", ["HVC", "demand"])
+        scen.add_set("balance_equality", ["HVC", "export"])
+        scen.add_set("balance_equality", ["HVC", "import"])
+        scen.add_set("balance_equality", ["ethylene", "final_material"])
+        scen.add_set("balance_equality", ["propylene", "final_material"])
+        scen.add_set("balance_equality", ["BTX", "final_material"])
+
+
+def gen_te_projections(
+    scen: message_ix.Scenario,
+    ssp: Literal["all", "LED", "SSP1", "SSP2", "SSP3", "SSP4", "SSP5"] = "SSP2",
+    method: Literal["constant", "convergence", "gdp"] = "convergence",
+    ref_reg: str = "R12_NAM",
+) -> tuple[pd.DataFrame, pd.DataFrame]:
+    """
+    Calls message_ix_models.tools.costs with config for MESSAGEix-Materials
+    and return inv_cost and fix_cost projections for energy and materials
+    technologies
+
+    Parameters
+    ----------
+    scen: message_ix.Scenario
+        Scenario instance is required to get technology set
+    ssp: str
+        SSP to use for projection assumptions
+    method: str
+        method to use for cost convergence over time
+    ref_reg: str
+        reference region to use for regional cost differentiation
+
+    Returns
+    -------
+    tuple[pd.DataFrame, pd.DataFrame]
+        tuple with "inv_cost" and "fix_cost" DataFrames
+    """
+    dac_techs = ["dac_lt", "dac_hte", "dac_htg"]
+    model_tec_set = dac_techs
+    cfg = Config(
+        module="dac",
+        ref_region=ref_reg,
+        method=method,
+        format="message",
+        scenario=ssp,
+        final_year=2110,
+    )
+    out_materials = create_cost_projections(cfg)
+    fix_cost = (
+        out_materials["fix_cost"]
+        .drop_duplicates()
+        .drop(["scenario_version", "scenario"], axis=1)
+    )
+    fix_cost = fix_cost[fix_cost["technology"].isin(model_tec_set)]
+    inv_cost = (
+        out_materials["inv_cost"]
+        .drop_duplicates()
+        .drop(["scenario_version", "scenario"], axis=1)
+    )
+    inv_cost = inv_cost[inv_cost["technology"].isin(model_tec_set)]
+    return inv_cost, fix_cost
+
+
+def add_ccs_setup(scen: message_ix.Scenario, ssp="SSP2"):
+    with scen.transact(""):
+        # CO2 storage potential from Matt and Sidd
+        R12_potential = {
+            "R12_FSU": 83310.661,
+            "R12_LAM": 55868.988,
+            "R12_WEU": 11793.358,
+            "R12_EEU": 1808.370,
+            "R12_AFR": 61399.222,
+            "R12_MEA": 57369.171,
+            "R12_NAM": 58983.981,
+            "R12_SAS": 4765.219,
+            "R12_PAS": 21108.578,
+            "R12_PAO": 34233.825,
+            "R12_CHN": 15712.475,
+            "R12_RCPA": 3754.285,
+        }
+
+        # max rate in MtC per year
+        max_rate = np.round(15000 / 3.667, 0)
+
+        # technology modes
+        modes = ["M1", "M2", "M3"]
+
+        # length for each periods
+        len_periods = {
+            2025: 5,
+            2030: 5,
+            2035: 5,
+            2040: 5,
+            2045: 5,
+            2050: 5,
+            2055: 5,
+            2060: 5,
+            2070: 10,
+            2080: 10,
+            2090: 10,
+            2100: 10,
+            2110: 10,
+        }
+
+        # nodes
+        nodes = [
+            "R12_AFR",
+            "R12_EEU",
+            "R12_LAM",
+            "R12_MEA",
+            "R12_NAM",
+            "R12_SAS",
+            "R12_WEU",
+            "R12_FSU",
+            "R12_PAO",
+            "R12_PAS",
+            "R12_CHN",
+            "R12_RCPA",
+            "R12_GLB",
+        ]
+
+        # years
+        years = [year for year in list(len_periods.keys()) if year > 2025]
+
+        # SSPs to run
+        ssps = ["LED", "SSP1", "SSP2", "SSP3", "SSP4", "SSP5"]
+        ssps = ["SSP2"]
+
+        # SSPs CCS parameters
+        ccs_ssp_pars = {
+            "LED": {
+                "co2storage": 0.25,
+                "co2rate": 6000 / 3.667,
+            },
+            "SSP1": {
+                "co2storage": 0.25,
+                "co2rate": 6000 / 3.667,
+            },
+            "SSP2": {
+                "co2storage": 0.50,
+                "co2rate": 16500 / 3.667,
+            },
+            "SSP3": {
+                "co2storage": 1.00,
+                "co2rate": 18750 / 3.667,
+            },
+            "SSP4": {
+                "co2storage": 1.00,
+                "co2rate": 35000 / 3.667,
+            },
+            "SSP5": {
+                "co2storage": 1.00,
+                "co2rate": 35000 / 3.667,
+            },
+        }
+
+        # scenario parameters list for edit
+        co2_pipes = ["co2_tr_dis", "bco2_tr_dis"]
+        co2_pipes_par = [
+            "inv_cost",
+            "fix_cost",
+            "input",
+            "capacity_factor",
+            "technical_lifetime",
+            "construction_time",
+            "abs_cost_activity_soft_up",
+            "growth_activity_lo",
+            "level_cost_activity_soft_lo",
+            "level_cost_activity_soft_up",
+            "relation_activity",
+            "var_cost",
+            "output",
+            "emission_factor",
+            "soft_activity_lo",
+            "soft_activity_up",
+            "growth_activity_up",
+            "initial_activity_up",
+        ]
+
+        ccs_techs = [
+            # BECCS
+            "bio_istig_ccs",
+            "biomass_NH3_ccs",
+            "bio_ppl_co2scr",
+            "eth_bio_ccs",
+            "meth_bio_ccs",
+            "h2_bio_ccs",
+            "liq_bio_ccs",
+            # Fossil and Industrial CCS
+            "bf_ccs_steel",
+            "c_ppl_co2scr",
+            "clinker_dry_ccs_cement",
+            "clinker_wet_ccs_cement",
+            "coal_adv_ccs",
+            "coal_NH3_ccs",
+            "dri_gas_ccs_steel",
+            "fueloil_NH3_ccs",
+            "g_ppl_co2scr",
+            "gas_cc_ccs",
+            "gas_NH3_ccs",
+            "h2_coal_ccs",
+            "h2_smr_ccs",
+            "igcc_ccs",
+            "meth_coal_ccs",
+            "meth_ng_ccs",
+            "syn_liq_ccs",
+            # DACCS
+            "dac_lt",
+            "dac_hte",
+            "dac_htg",
+        ]
+
+        dac_techs = ["dac_lt", "dac_hte", "dac_htg"]
+
+        # mp = ixmp.Platform()
+
+        # calling base scenario
+        # model_name = f"SSP_dev_{ssp}_v1.0_testco2v3"
+        # scen_name = "baseline"
+
+        # base_scen = message_ix.Scenario(mp, model=model_name, scenario=scen_name)
+
+        # clone scenario to add CCS infrastructure and DAC
+        # scen = base_scen.clone(
+        #    f"SSP_dev_{ssp}_v1.0_testco2v3_split",
+        #    "baseline",
+        #    "scenario with CCS infrastructure and DAC",
+        #    keep_solution=False,
+        # )
+        # scen.check_out()
+
+        # ==============================================
+        # Remove old setup ================================
+        ## rem. relations
+        rels = [
+            "co2_trans_disp",
+            "bco2_trans_disp",
+            "CO2_Emission_Global_Total",
+            "CO2_Emission",
+            "CO2_PtX_trans_disp_split",
+        ]
+
+        scen.remove_par(
+            "relation_activity",
+            scen.par(
+                "relation_activity",
+                {"technology": co2_pipes + ccs_techs, "relation": rels},
+            ),
+        )
+
+        ## rem. 'CO2_PtX_trans_disp_split' fro relation set
+        scen.remove_set("relation", "CO2_PtX_trans_disp_split")
+
+        ## rem. pipelines
+        for par in co2_pipes_par:
+            scen.remove_par(par, scen.par(par, {"technology": co2_pipes}))
+
+        ## rem. co2 pipeline sets
+        scen.remove_set("technology", co2_pipes)
+        scen.remove_set("relation", ["co2_trans_disp", "bco2_trans_disp"])
+
+        # ==============================================
+        # Add new setup ================================
+        ## setup pipelines, storage, and non-dac ccs technologies
+        add_tech(
+            scen, load_package_data(f"ccs-dac\co2infrastructure_data_{ssp}dev.yaml")
+        )
+
+        ## setup dac technologies
+        add_tech(scen, load_package_data(f"ccs-dac\daccs_setup_data_{ssp}dev.yaml"))
+
+        ## add dac costs using meas's tool
+        ##> making the projection
+        inv_cost_dac, fix_cost_dac = gen_te_projections(scen, ssp, "gdp")
+
+        inv_cost_dac = inv_cost_dac[inv_cost_dac["technology"].isin(dac_techs)]
+        fix_cost_dac = fix_cost_dac[fix_cost_dac["technology"].isin(dac_techs)]
+
+        ##> adding the costs to the model
+        scen.add_par("inv_cost", inv_cost_dac)
+        scen.add_par("fix_cost", fix_cost_dac)
+
+        ## removing excess year_act
+        pars2remove = ["capacity_factor", "fix_cost", "input", "output"]
+        ##> use 2030 R12_NAM as basis to get technology lifetime
+        lt = scen.par(
+            "technical_lifetime",
+            {"technology": ccs_techs, "node_loc": "R12_NAM", "year_vtg": 2030},
+        )
+        for par in pars2remove:
+            df2remove = []
+            df = scen.par(par, {"technology": ccs_techs})
+            rem_techs = ccs_techs if par == "output" else dac_techs
+            for tech in rem_techs:
+                lt_tech = np.int32(lt[lt["technology"] == tech]["value"].iloc[0])
+                df2remove_tech = df[df["year_act"] > df["year_vtg"].add(lt_tech)]
+                df2remove_tech = df2remove_tech[df2remove_tech["technology"] == tech]
+                df2remove += [df2remove_tech]
+            df2remove = pd.concat(df2remove)
+            scen.remove_par(par, df2remove)
+
+        ## make pipelines and storage a single period technology
+        newpipesnstors = ["co2_stor", "co2_trans1", "co2_trans2"]
+        pars2remove = [
+            "var_cost",
+            "input",
+            "output",
+            "emission_factor",
+            "capacity_factor",
+        ]
+        for par in pars2remove:
+            df = scen.par(par, {"technology": newpipesnstors})
+            df = df.loc[df["year_vtg"] != df["year_act"]]
+            scen.remove_par(par, df)
+
+        # ==============================================
+        # Setup technology and relations to track cumulative storage
+        ## adding new set and technologies
+        scen.add_set("technology", "co2_storcumulative")
+
+        ## each storage mode is represented by one relation
+        for mode in modes:
+            scen.add_set("relation", f"co2_storcum_{mode}")
+
+        ## create relation activity
+        list_relation = []
+        for node in nodes:
+            for mode in modes:
+                for yr in years:
+                    ya = [y for y in years if y <= yr]
+                    relact_co2stor = make_df(
+                        "relation_activity",
+                        relation=f"co2_storcum_{mode}",
+                        node_rel=node,
+                        year_rel=yr,
+                        node_loc=node,
+                        technology="co2_stor",
+                        year_act=ya,
+                        mode=mode,
+                        value=[-1 * len_periods[y] for y in ya],
+                        unit="-",
+                    )
+
+                    relact_co2storcumulative = make_df(
+                        "relation_activity",
+                        relation=f"co2_storcum_{mode}",
+                        node_rel=node,
+                        year_rel=yr,
+                        node_loc=node,
+                        technology="co2_storcumulative",
+                        year_act=yr,
+                        mode=mode,
+                        value=1,
+                        unit="-",
+                    )
+                    list_relation += [relact_co2stor, relact_co2storcumulative]
+        df_relation = pd.concat(list_relation)
+
+        ## create relation bounds
+        list_rel_eq = []
+        for node in nodes:
+            for mode in modes:
+                rel_eq = make_df(
+                    "relation_upper",
+                    relation=f"co2_storcum_{mode}",
+                    node_rel=node,
+                    year_rel=years,
+                    value=0,
+                    unit="-",
+                )
+                list_rel_eq += [rel_eq]
+        df_rel_eq = pd.concat(list_rel_eq)
+
+        ## adding parameters
+        scen.add_par("relation_activity", df_relation)
+        scen.add_par("relation_upper", df_rel_eq)
+        scen.add_par("relation_lower", df_rel_eq)
+
+        # adding set up for limiting CO2 storage availabilities
+        nodes = [node for node in nodes if node not in ["R12_GLB", "World"]]
+        df_list = []
+        for node in nodes:
+            for year in years:
+                df = make_df(
+                    "bound_activity_up",
+                    node_loc=node,
+                    technology="co2_storcumulative",
+                    year_act=year,
+                    mode="all",
+                    time="year",
+                    value=(R12_potential[node] * ccs_ssp_pars[ssp]["co2storage"]),
+                    unit="???",
+                )
+                df_list += [df]
+        df_stor = pd.concat(df_list)
+
+        scen.add_par("bound_activity_up", df_stor)
+
+        # ==============================================
+        # Setup tech and relations to limit global CO2 injection
+
+        ## adding new set and technologies
+        scen.add_set("technology", "co2_stor_glb")
+        for mode in modes:
+            scen.add_set("relation", f"co2_storglobal_{mode}")
+
+        ## create relation activity
+        list_relation = []
+        for mode in modes:
+            for yr in years:
+                for node in nodes:
+                    relact_co2stor = make_df(
+                        "relation_activity",
+                        relation=f"co2_storglobal_{mode}",
+                        node_rel="R12_GLB",
+                        year_rel=yr,
+                        node_loc=node,
+                        technology="co2_stor",
+                        year_act=yr,
+                        mode=mode,
+                        value=-1,
+                        unit="-",
+                    )
+                    list_relation += [relact_co2stor]
+                relact_co2stor_glb = make_df(
+                    "relation_activity",
+                    relation=f"co2_storglobal_{mode}",
+                    node_rel="R12_GLB",
+                    year_rel=yr,
+                    node_loc="R12_GLB",
+                    technology="co2_stor_glb",
+                    year_act=yr,
+                    mode=mode,
+                    value=1,
+                    unit="-",
+                )
+                list_relation += [relact_co2stor_glb]
+        df_relation = pd.concat(list_relation)
+
+        ## create relation bounds
+        list_rel_eq = []
+        for mode in modes:
+            rel_eq = make_df(
+                "relation_upper",
+                relation=f"co2_storglobal_{mode}",
+                node_rel="R12_GLB",
+                year_rel=years,
+                value=0,
+                unit="-",
+            )
+            list_rel_eq += [rel_eq]
+        df_rel_eq = pd.concat(list_rel_eq)
+
+        ## adding parameters
+        scen.add_par("relation_activity", df_relation)
+        scen.add_par("relation_upper", df_rel_eq)
+        scen.add_par("relation_lower", df_rel_eq)
+
+        df_list = []
+        for year in years:
+            df = make_df(
+                "bound_activity_up",
+                node_loc="R12_GLB",
+                technology="co2_stor_glb",
+                year_act=year,
+                mode="all",
+                time="year",
+                value=ccs_ssp_pars[ssp]["co2rate"],
+                unit="???",
+            )
+            df_list += [df]
+        df_co2ratelim = pd.concat(df_list)
+
+        ## adding parameters
+        scen.add_par("bound_activity_up", df_co2ratelim)
+
+        # ==============================================
+        ## Setup relation_upper and _lower for DAC market penetration limit
+        rels = ["DAC_mpen_c"]
+        df_list = []
+        for rel in rels:
+            for node in nodes:
+                df = make_df(
+                    "relation_upper",
+                    relation=rel,
+                    node_rel=node,
+                    year_rel=years,
+                    unit="-",
+                    value=0,
+                )
+                df_list = df_list + [df]
+        dfpar2add = pd.concat(df_list)
+        scen.add_par("relation_upper", dfpar2add)
+        scen.add_par("relation_lower", dfpar2add)
diff --git a/message_ix_models/project/ssp/script/util/shares.py b/message_ix_models/project/ssp/script/util/shares.py
new file mode 100644
index 0000000000..5b3ffb9d28
--- /dev/null
+++ b/message_ix_models/project/ssp/script/util/shares.py
@@ -0,0 +1,332 @@
+import numpy as np
+import pandas as pd
+
+
+def main(
+    scen,
+    path_UE_share_input,
+    ssp="SSP2",
+    start_year=None,
+    calibration_year=None,
+    period_interpol=4,
+    clean_relations=False,
+    verbose=False,
+):
+    """Add share constraints for end-use technologies.
+
+    The purpose of this script is to add share constraints for the end-use
+    sectors, thereby replacing any exisiting relation based share constraints
+    in the process.
+    The share constraint parametrization is read from an Excel-file and has
+    been setup so that it can be applied to all five SSPs. Some constraints
+    are applicable for multiple SSPs and nodes.
+    The share constraints are parameterized so that the total to which the
+    share is applied is derived based on a level/commodity and the
+    technologies contributing to a share are specified individually. Shares
+    with a value of 1. are not added to the model. In the process of adding
+    the share constraints, a check is undertaken to ensure that the share
+    constraint values do do not violate the calibrated baseyear shares. If
+    they do, then the baseyear share value is interpolated, so that the
+    target-share value as specied in the Excel-file are gradually achieved
+    over time.
+
+    Parameters
+    ----------
+    scen : :class:`message_ix.Scenario`
+        scenario to which changes should be applies
+    ssp : string
+        specify for which SSP the parameters should be added
+    start_year : int
+        specify the year as of which constraints should be added;
+        If None, then `firstmodelyear`
+    calibration_year : int
+        specify the last year for data has been calibrated
+        If None, the `firstmodelyear` -1
+    period_intpol : int (default=4)
+        the number of time periods (not years) over which deviations
+        converge
+    clean_relations : boolean
+        option whether to entirely remove all relation based UE share
+        constraints.
+    verbose : boolean (default=False)
+        option whether to primnt onscreen messages.
+    """
+
+    # Remove all existing UE_ growth constraints
+    if clean_relations is True:
+        with scen.transact("Remove UE relations"):
+            remove_rel = [r for r in scen.set("relation") if r.find("UE_") >= 0]
+            scen.remove_set("relation", remove_rel)
+
+            remove_tec = [t for t in scen.set("technology") if t.find("useful_") >= 0]
+            scen.remove_set("technology", remove_tec)
+
+    # Retrieve share constraint input data
+    data = pd.read_excel(path_UE_share_input)
+
+    # Retrieve list of scenario years
+    years = scen.set("year").tolist()
+
+    # If start_year is None, set to `firstmodelyear`
+    if start_year is None:
+        start_year = scen.firstmodelyear
+
+    # If calibration_year is None, set to `firstmodelyear`
+    if calibration_year is None:
+        calibration_year = years[years.index(scen.firstmodelyear) - 1]
+
+    # Ensure that the data is relevant for the current SSP
+    data_gen = data.loc[data.SSP == "all"]
+    data_ssp = data.loc[data.SSP == ssp]
+
+    for i in data_ssp.index:
+        if data_ssp.loc[i, "node"] == "all":
+            data_gen = data_gen.loc[
+                ~(data_gen.share_name == data_ssp.loc[i, "share_name"])
+            ]
+        else:
+            data_gen = data_gen.loc[
+                ~(
+                    (data_gen.share_name == data_ssp.loc[i, "share_name"])
+                    & (data_gen.node == data_ssp.loc[i, "node"])
+                )
+            ]
+    data = pd.concat([data_ssp, data_gen]).reset_index().drop("index", axis=1)
+
+    # Start workflow to add parameters
+    with scen.transact(""):
+        for i in data.index:
+            row = data.iloc[i]
+
+            if row.share_name in scen.set("relation").tolist():
+                if verbose:
+                    print(f"Removing relation {row.share_name}")
+                scen.remove_set("relation", row.share_name)
+
+            # Skip if share is 100%
+            if row.target_value == 1:
+                continue
+
+            # Derive individual elements required for parametrization
+            # Assign share names
+            share_name = row.share_name
+            if share_name not in scen.set("shares").tolist():
+                if verbose:
+                    print(f"Adding share {row.share_name}")
+                scen.add_set("shares", share_name)
+
+            # Derive names of share total and share
+            share_name_total = f"{share_name}_total"
+            share_name_share = f"{share_name}_share"
+
+            # Assign technologies
+            tec_list_share = row.share_tec.split(",")
+
+            # Ensure that the output of the technologies have the same output
+            # as defined for "commodity" and "useful"
+            check_output = scen.par("output", filters={"technology": tec_list_share})[
+                ["commodity", "level"]
+            ].drop_duplicates()
+            assert row.commodity in check_output.commodity.tolist()
+            assert row.level in check_output.level.tolist()
+
+            # Retrieve all technologies which have an outout onto the desired
+            # "commodity" and "level"
+            output = scen.par(
+                "output", filters={"level": row.level, "commodity": row.commodity}
+            )
+            tec_list_total = output.technology.unique().tolist()
+
+            # Add technologies to new type_tec
+            for tec in tec_list_total:
+                cur_type_tec = scen.set(
+                    "cat_tec", filters={"type_tec": share_name_total}
+                ).technology.tolist()
+                if tec not in cur_type_tec:
+                    scen.add_cat("technology", share_name_total, tec)
+
+            for tec in tec_list_share:
+                cur_type_tec = scen.set(
+                    "cat_tec", filters={"type_tec": share_name_share}
+                ).technology.tolist()
+                if tec not in cur_type_tec:
+                    scen.add_cat("technology", share_name_share, tec)
+
+            # Define nodes, if "all" then all are retrieved from the output
+            # for which the target share technology is available
+            if row.node == "all":
+                nodes = output.loc[
+                    output.technology.isin(tec_list_share)
+                ].node_loc.unique()
+            else:
+                nodes = [f"R12_{r}" for r in row.node.split(",")]
+
+            # Assign type_tec to map_shares_commodity_total
+            for n in nodes:
+                df = pd.DataFrame(
+                    {
+                        "shares": share_name,
+                        "node_share": n,
+                        "node": n,
+                        "type_tec": share_name_total,
+                        "mode": output.loc[
+                            (output.technology.isin(tec_list_total))
+                            & (output.node_loc == n)
+                        ]["mode"]
+                        .unique()
+                        .tolist(),
+                        "commodity": row.commodity,
+                        "level": row.level,
+                    }
+                )
+                scen.add_set("map_shares_commodity_total", df)
+
+            # Assign type_tec to map_shares_commodity_total
+            for n in nodes:
+                df = pd.DataFrame(
+                    {
+                        "shares": share_name,
+                        "node_share": n,
+                        "node": n,
+                        "type_tec": share_name_share,
+                        "mode": output.loc[
+                            (output.technology.isin(tec_list_share))
+                            & (output.node_loc == n)
+                        ]["mode"]
+                        .unique()
+                        .tolist(),
+                        "commodity": row.commodity,
+                        "level": row.level,
+                    }
+                )
+                scen.add_set("map_shares_commodity_share", df)
+
+            # Derive shares of activity in the calibration_year
+            if calibration_year >= scen.firstmodelyear:
+                par = "bound_activity_lo"
+            else:
+                par = "historical_activity"
+            act_total = scen.par(
+                par,
+                filters={
+                    "node_loc": nodes,
+                    "technology": tec_list_total,
+                    "year_act": calibration_year,
+                },
+            )
+            act_total = act_total.groupby(["node_loc"]).sum(numeric_only=True)[
+                ["value"]
+            ]
+
+            act_share = scen.par(
+                "bound_activity_lo",
+                filters={
+                    "node_loc": nodes,
+                    "technology": tec_list_share,
+                    "year_act": calibration_year,
+                },
+            )
+            act_share = act_share.groupby(["node_loc"]).sum(numeric_only=True)[
+                ["value"]
+            ]
+
+            baseyear_share = round((act_share / act_total) * 1000) / 1000
+            baseyear_share = baseyear_share.dropna()
+
+            # Create timeseries for values
+            share_type = (
+                "share_commodity_lo"
+                if row.share_type == "lower"
+                else "share_commodity_up"
+            )
+
+            # If "baseyear" then add timeseries with baseyear values for all years
+            if row.target_value == "baseyear":
+                for n in nodes:
+                    if n not in baseyear_share.index.values:
+                        val = 0
+                    else:
+                        val = baseyear_share.loc[n].value
+                    df = pd.DataFrame(
+                        {
+                            "shares": share_name,
+                            "node_share": n,
+                            "year_act": [
+                                y for y in scen.set("year") if y >= start_year
+                            ],
+                            "time": "year",
+                            "value": val,
+                            "unit": "-",
+                        }
+                    )
+                    scen.add_par(share_type, df)
+
+            else:
+                for n in nodes:
+                    if row.target_value == "TS":
+                        # Create timeseries dataframe
+                        ts = pd.DataFrame(
+                            row[[y for y in row.index if y in years]]
+                        ).rename(columns={i: "value"})
+                        ts.value = ts.value.astype(float)
+                    else:
+                        ts = pd.DataFrame(
+                            {
+                                "year_act": [y for y in years if y >= calibration_year],
+                                "value": row.target_value,
+                            }
+                        ).set_index("year_act")
+                    if n not in baseyear_share:
+                        baseval = ts.iloc[0].value
+                    else:
+                        baseval = baseyear_share.loc[n].value
+                    # Check if timeseries value is smaller than baseyear_share
+                    check = True
+                    if row.share_type == "lower":
+                        # If lower, check if baseyear share value is smaller
+                        # than the target value if it is, then the interpolate
+                        # to gradually reduce the share.
+                        check = baseval < ts.iloc[0].value
+                    elif row.share_type == "upper":
+                        # If upper, check if baseyear share value is larger
+                        # than the target value if it is, then the interpolate
+                        # to gradually increase the share.
+                        check = baseval < ts.iloc[0].value
+                    if check is False:
+                        if calibration_year not in ts.index:
+                            ts = pd.concat(
+                                [
+                                    pd.DataFrame(
+                                        {"year": calibration_year, "value": [baseval]}
+                                    ).set_index("year"),
+                                    ts,
+                                ]
+                            )
+                        else:
+                            ts.loc[calibration_year, "value"] = baseval
+                        ts.loc[
+                            years[
+                                years.index(calibration_year) + 1 : years.index(
+                                    calibration_year
+                                )
+                                + period_interpol
+                            ],
+                            "value",
+                        ] = np.nan
+
+                        # Interpolate values
+                        ts = ts.interpolate(method="index")
+
+                    # Assign the remaining index values
+                    ts = (
+                        ts.assign(
+                            shares=share_name, node_share=n, time="year", unit="-"
+                        )
+                        .reset_index()
+                        .rename(columns={"index": "year_act"})
+                    )
+
+                    # Filter out years >= the start_year, so the year as of
+                    # which parameters should be added
+                    ts = ts.loc[ts.year_act >= start_year]
+                    scen.add_par(share_type, ts)
diff --git a/message_ix_models/tests/model/material/test_data_aluminum.py b/message_ix_models/tests/model/material/test_data_aluminum.py
new file mode 100644
index 0000000000..aaca54ad7e
--- /dev/null
+++ b/message_ix_models/tests/model/material/test_data_aluminum.py
@@ -0,0 +1,39 @@
+import pytest
+
+from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.data_aluminum import (
+    gen_alumina_trade_tecs,
+    gen_refining_hist_act,
+    load_bgs_data,
+)
+
+
+@pytest.mark.parametrize(
+    "commodity",
+    [
+        "aluminum",
+        "alumina",
+    ],
+)
+def test_load_bgs_data(commodity):
+    out = load_bgs_data(commodity)
+
+    # assert that there is an ISO 3166-1 alpha-3 code and R12 region
+    # assigned to every timeseries row
+    assert not out[["R12", "ISO"]].isna().any(axis=None)
+
+
+def test_gen_refining_hist_act():
+    out = gen_refining_hist_act()
+    for v in out.values():
+        assert not v.isna().any(axis=None)
+    print()
+
+
+def test_gen_alumina_trade_tecs():
+    info = ScenarioInfo()
+    info.set["node"] = ["node0", "node1", "R12_GLB"]
+    info.set["year"] = [2020, 2025]
+    out = gen_alumina_trade_tecs(info)
+    for v in out.values():
+        assert not v.isna().any(axis=None)
diff --git a/message_ix_models/tests/model/material/test_data_util.py b/message_ix_models/tests/model/material/test_data_util.py
index a0ee7f826e..901c37121d 100644
--- a/message_ix_models/tests/model/material/test_data_util.py
+++ b/message_ix_models/tests/model/material/test_data_util.py
@@ -1,6 +1,12 @@
 import pandas as pd
+import pytest
+from message_ix.util import make_df
 
-from message_ix_models.model.material.data_util import map_iea_db_to_msg_regs
+from message_ix_models import ScenarioInfo
+from message_ix_models.model.material.data_util import (
+    gen_plastics_emission_factors,
+    map_iea_db_to_msg_regs,
+)
 
 DATA = [
     ["ALB", "R12_EEU"],
@@ -120,3 +126,22 @@ def test_map_iea_db_to_msg_regs() -> None:
     # - Add a column with True if these two are equal.
     # - Assert all are equal.
     assert df_out.merge(df, on="COUNTRY").eval("Z = REGION_x == REGION_y").Z.all()
+
+
+@pytest.mark.parametrize(
+    "species",
+    [
+        "HVCs",
+        "methanol",
+    ],
+)
+def test_gen_plastics_emission_factors(species):
+    info = ScenarioInfo()
+    info.set["node"] = ["node0", "node1"]
+    info.set["year"] = [2020, 2025]
+    out = gen_plastics_emission_factors(info, species)["relation_activity"]
+
+    assert not out.isna().any(axis=None)  # Completely full
+
+    # Data have the expected columns
+    assert sorted(make_df("relation_activity").columns) == sorted(out.columns)
diff --git a/message_ix_models/tools/add_dac/__init__.py b/message_ix_models/tools/add_dac/__init__.py
new file mode 100644
index 0000000000..188c3a5dc2
--- /dev/null
+++ b/message_ix_models/tools/add_dac/__init__.py
@@ -0,0 +1,491 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Mar 20 15:41:32 2023
+
+@author: pratama
+"""
+
+import os
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import yaml
+from message_ix.models import MESSAGE_ITEMS
+from message_ix.utils import make_df
+
+
+def generate_df(
+    scenario,
+    tech_data,
+):
+    """
+    This function generate parameter dataframe, matching the data input
+    in yaml file and parameter's dimension
+
+    Parameters
+    ----------
+    scenario    : message_ix.Scenario()
+        MESSAGEix Scenario where the data will be included
+    tech_data   : dictionary, technology data read using load_package_data
+    """
+
+    # Set up dictionary of parameter indices list
+    par_idx = {}
+    data = {}
+
+    # Create dicitonary of parameter indices and data
+    for tech in set(tech_data):
+        # add vintage and active years and update tech_data for each tech
+        years_vtg_act = scenario.vintage_and_active_years()
+        years_vtg_act = years_vtg_act[
+            years_vtg_act["year_vtg"] >= tech_data[tech]["year_init"]
+        ]
+        tech_data[tech]["year_vtg"] = years_vtg_act["year_vtg"].to_list()
+        tech_data[tech]["year_act"] = years_vtg_act["year_act"].to_list()
+
+        # collect parameter indices and update data
+        par_idx.update(
+            {
+                tech: {
+                    name: {
+                        idx: []
+                        for idx in list(
+                            MESSAGE_ITEMS[tech_data[tech][name]["par_name"]].get(
+                                "idx_names"
+                            )
+                        )
+                    }
+                    for name in set(tech_data[tech])
+                    - set(["year_init", "year_vtg", "year_act"])
+                }
+            }
+        )
+
+        data.update({tech: {name: [] for name in list(par_idx[tech].keys())}})
+
+    # If those are not provided, then this block of code
+    # is needed to retrieve them from the data input
+    regions = []
+    emissions = []
+    times = []
+    modes = []
+    commodities = []
+    levels = []
+    relations = []
+
+    set_elements_dict = {
+        "node_loc": {"data": regions, "name": "node"},
+        "emission": {"data": emissions, "name": "emission"},
+        "mode": {"data": modes, "name": "mode"},
+        "time": {"data": times, "name": "time"},
+        "commodity": {"data": commodities, "name": "commodity"},
+        "level": {"data": levels, "name": "level"},
+        "time_origin": {"data": times, "name": "time"},
+        "time_dest": {"data": times, "name": "time"},
+        "relation": {"data": relations, "name": "relation"},
+        "node_rel": {"data": regions, "name": "node"},
+    }
+
+    # Create DataFrame for all parameters
+    for tec, val in data.items():
+        for name in val.keys():
+            if tec not in scenario.set("technology"):
+                scenario.add_set("technology", tec)
+
+            if "commodity" in par_idx[tec][name]:
+                commodity = list(tech_data[tec][name]["commodity"].keys())[0]
+                if commodity not in scenario.set("commodity"):
+                    scenario.add_set("commodity", commodity)
+
+            kwargs = {}
+            if all(idx in par_idx[tec][name] for idx in ["year_vtg", "year_act"]):
+                kwargs = {
+                    "year_vtg": tech_data[tec]["year_vtg"],
+                    "year_act": tech_data[tec]["year_act"],
+                }
+            elif "year_vtg" in par_idx[tec][name]:
+                kwargs = {"year_vtg": sorted(set(tech_data[tec]["year_vtg"]))}
+            else:
+                kwargs = {"year_act": sorted(set(tech_data[tec]["year_act"]))}
+                # if 'year_rel' is present, the values are assumed
+                # from 'year_act' values
+                if "year_rel" in par_idx[tec][name]:
+                    kwargs.update({"year_rel": sorted(set(tech_data[tec]["year_act"]))})
+
+            df = make_df(
+                tech_data[tec][name]["par_name"],
+                technology=tec,
+                value=tech_data[tec][name]["value"],
+                unit=tech_data[tec][name]["unit"],
+                **kwargs,
+            )
+
+            # create empty dataframe
+            idx_exp = [
+                e
+                for e in par_idx[tec][name]
+                if e
+                not in [
+                    "technology",
+                    "year_vtg",
+                    "year_act",
+                    "year_rel",
+                    "node_origin",
+                    "node_dest",
+                    "node_rel",
+                    "time_origin",
+                    "time_dest",
+                ]
+            ]
+
+            for idx in idx_exp:
+                default = (
+                    {
+                        e: 1
+                        for e in list(scenario.set(set_elements_dict[idx]["name"]))[1:]
+                    }
+                    if idx in ["node_loc", "mode"]
+                    else {
+                        e: 1 for e in list(scenario.set(set_elements_dict[idx]["name"]))
+                    }
+                )
+
+                listidx = list(tech_data[tec][name].get(idx, default))
+                listdfidx = []
+                for e in listidx:
+                    df1 = df.copy()
+                    df1[idx] = [e] * len(df)
+                    listdfidx.append(df1)
+                df = pd.concat(listdfidx, ignore_index=True)
+
+            # assigning values for node and time related indices
+            for idx in df.columns:
+                if idx in ["node_origin", "node_dest", "node_rel"]:
+                    df[idx] = df["node_loc"]
+                if idx in ["time_origin", "time_dest"]:
+                    df[idx] = df["time"]
+
+            # Calculate values of row-by-row multipliers
+            mult = []
+            for i in range(len(df)):
+                # node_loc factor
+                _node_loc = (
+                    tech_data[tec]
+                    .get(name, {})
+                    .get("node_loc", {})
+                    .get(df.get("node_loc", {}).get(i), 1)
+                )
+
+                # year_vtg factor
+                # _year_vtg = (1+rate)**delta_years
+
+                if "year_vtg" in df.columns:
+                    usf_year_vtg = (
+                        tech_data[tec]
+                        .get(name, {})
+                        .get("year_vtg", {})
+                        .get(df["year_vtg"][i], 1)
+                    )
+
+                    exp_year_vtg = df["year_vtg"][i] - tech_data[tech]["year_init"]
+
+                    _year_vtg = (
+                        np.power(
+                            (
+                                1
+                                + tech_data[tec]
+                                .get(name, {})
+                                .get("year_vtg", {})
+                                .get("rate", 0.0)
+                            ),
+                            exp_year_vtg,
+                        )
+                        * usf_year_vtg
+                    )
+                else:
+                    _year_vtg = 1
+
+                # year_act factor
+                # _year_act = ((1+rate)**(year_act-year_vtg))*usf_year_act
+                # if both years present
+                # _year_act = ((1+rate)**(year_act-first_active_year))*usf_year_act
+                # if no year_vtg
+
+                if "year_act" in df.columns:
+                    usf_year_act = (
+                        tech_data[tec]
+                        .get(name, {})
+                        .get("year_act", {})
+                        .get(df["year_act"][i], 1)
+                    )
+
+                    exp_year_act = df["year_act"][i] - (
+                        df["year_vtg"][i]
+                        if "year_vtg" in df.columns
+                        else tech_data[tech]["year_init"]
+                    )
+
+                    _year_act = (
+                        np.power(
+                            (
+                                1
+                                + tech_data[tec]
+                                .get(name, {})
+                                .get("year_act", {})
+                                .get("rate", 0)
+                            ),
+                            exp_year_act,
+                        )
+                        * usf_year_act
+                    )
+                else:
+                    _year_act = 1
+
+                # get mode multiplier from model_data
+                _mode = (
+                    tech_data[tec]
+                    .get(name, {})
+                    .get("mode", {})
+                    .get(df.get("mode", {}).get(i), 1)
+                )
+
+                mult.append(
+                    np.prod(
+                        [
+                            _node_loc,
+                            _year_vtg,
+                            _year_act,
+                            _mode,
+                        ]
+                    )
+                )
+
+            # index adjusted df
+            value = df["value"] * mult
+            value = [e for e in value]
+            df["value"] = value
+
+            data[tec][name] = df
+
+    return data
+
+
+def print_df(scenario, tech_data):
+    data = generate_df(scenario, tech_data)
+    for tec, val in data.items():
+        with pd.ExcelWriter(f"{tec}.xlsx", engine="xlsxwriter", mode="w") as writer:
+            for sheet_name, sheet_data in val.items():
+                sheet_data.to_excel(writer, sheet_name=sheet_name, index=False)
+
+
+def add_tech(scenario, tech_data):
+    """
+    Parameters
+    ----------
+    scenario    : message_ix.Scenario()
+        MESSAGEix Scenario where the data will be included
+    filepath    : string, path of the input file
+        the default is in the module's folder
+    """
+
+    # check if all required sets already in scenario
+    # TODO: this must not be hardcoded here
+    # if "CO2_storage" not in scenario.set("emission"):
+    #    scenario.add_set("emission", "CO2_storage")
+    # if "co2_storage_pot" not in scenario.set("type_emission"):
+    #    scenario.add_set("type_emission", "co2_storage_pot")
+    # if "co2_potential" not in scenario.set("type_tec"):
+    #    scenario.add_set("type_tec", "co2_potential")
+    # if "co2_stor" not in scenario.set("technology"):
+    #    scenario.add_set("technology", "co2_stor")
+
+    # scenario.add_set("cat_emission", ["co2_storage_pot", "CO2_storage"])
+    # scenario.add_set("cat_tec", ["co2_potential", "co2_stor"])
+
+    # Reading new technology database
+    data = generate_df(scenario, tech_data)
+
+    # TODO: @ywpratama, bring in the set information here from the YAML file
+    # Adding parameters by technology and name
+    for tec, val in data.items():
+        if tec not in set(scenario.set("technology")):
+            scenario.add_set("technology", tec)
+
+        for name in val.keys():
+            if tech_data[tec][name]["par_name"] == "relation_activity":
+                for rel in tech_data[tec][name]["relation"]:
+                    if rel not in set(scenario.set("relation")):
+                        scenario.add_set("relation", rel)
+                # if tech_data[tec][name]["relation"][0] not in set(
+                #    scenario.set("relation")
+                # ):
+                #    scenario.add_set("relation", tech_data[tec][name]["relation"][0])
+            scenario.add_par(tech_data[tec][name]["par_name"], data[tec][name])
+
+    # TODO: @ywpratama, add in the relation_actiavity for emissions in the yaml file
+    # Specific for daccs setup in the global model,
+    # "CO2_Emission_Global_Total" relation should be added via
+    # yaml file referencing this method below
+
+    # n_nodes = np.int32(len(scenario.set("node")) - 2)
+
+    # excluding 'World' and 'RXX_GLB'
+    # reg_exception = ["World", f"R{n_nodes}_GLB"]
+    # node_loc = [e for e in scenario.set("node") if e not in reg_exception]
+    # year_act = [e for e in scenario.set("year") if e >= 2025]
+
+    # Creating dataframe for CO2_Emission_Global_Total relation
+    # CO2_global_par = []
+    # for reg in node_loc:
+    #    CO2_global_par.append(
+    #        make_df(
+    #            "relation_activity",
+    #            relation="CO2_Emission_Global_Total",
+    #            node_rel=f"R{n_nodes}_GLB",
+    #            year_rel=year_act,
+    #            node_loc=reg,
+    #            technology="co2_stor",
+    #            year_act=year_act,
+    #            mode="M1",
+    #            value=-1,
+    #            unit="-",
+    #        )
+    #    )
+    # CO2_global_par = pd.concat(CO2_global_par)
+    # relation lower and upper bounds
+    # rel_lower_upper = []
+    # for rel in ["co2_trans", "bco2_trans"]:
+    #    for reg in node_loc:
+    #        rel_lower_upper.append(
+    #            make_df(
+    #                "relation_lower",
+    #                relation=rel,
+    #                node_rel=reg,
+    #                year_rel=year_act,
+    #                value=0,
+    #                unit="-",
+    #            )
+    #        )
+    # rel_lower_upper = pd.concat(rel_lower_upper)
+    # Adding the dataframe to the scenario
+    # scenario.add_par("relation_activity", CO2_global_par)
+    # scenario.add_par("relation_lower", rel_lower_upper)
+    # scenario.add_par("relation_upper", rel_lower_upper)
+
+
+def get_values(
+    scenario,
+    variable="",
+    valuetype="lvl",
+    # filters = {}
+):
+    # filters must use 'cat_tec' to aggregate technology
+    # don't forget to include check unit
+    """
+    Parameters
+    ----------
+    scenario    : message_ix.Scenario()
+        MESSAGEix Scenario where the data will be included
+    variable    : string
+        name of variable to report
+    valuetype   : string, 'lvl' or 'mrg'
+        type of values reported to report,
+        either level or marginal.
+        default is 'lvl'
+    """
+
+    if isinstance(scenario.var(variable), pd.DataFrame):
+        df = scenario.var(variable)
+        dimensions = [col for col in df.columns if col not in ["lvl", "mrg"]]
+        return df.set_index(dimensions)[[valuetype]]
+    else:
+        return scenario.var(variable)[valuetype]
+
+
+def get_report(
+    scenario,
+    technologies=[],
+):
+    """
+    Parameters
+    ----------
+    scenario    : message_ix.Scenario()
+        MESSAGEix Scenario where the data will be included
+    technologies    : string or list
+        name of technology to be reported
+    variable    : string or list
+        name of variable to report
+    """
+    var_dict = {var: [] for var in ["CAP", "CAP_NEW", "INVESTMENT", "REMOVAL"]}
+
+    # listing model years to be reported
+    years_rep = sorted(
+        scenario.set("cat_year")
+        .set_index("type_year")
+        .loc["cumulative", "year"]
+        .to_list()
+    )
+
+    # Create dataframe
+    for var in var_dict.keys():
+        # primary variables
+        if var in ["CAP", "CAP_NEW"]:
+            df = (
+                get_values(scenario, var)["lvl"]
+                .unstack()
+                .loc[:, technologies, :]
+                .groupby(["node_loc"])
+                .sum()
+            )[years_rep]
+
+        # investment
+        elif var == "INVESTMENT":
+            depl = (
+                get_values(scenario, "CAP_NEW")["lvl"].unstack().loc[:, technologies, :]
+            )[years_rep]
+
+            dfic = scenario.par("inv_cost")
+
+            inv = (
+                dfic.loc[dfic["technology"].isin(technologies)]
+                .set_index(["node_loc", "technology", "year_vtg"])["value"]
+                .unstack()
+            )
+
+            df = depl.mul(inv).groupby(["node_loc"]).sum()
+
+        # removal
+        elif var == "REMOVAL":
+            acts = get_values(scenario, "ACT").droplevel(["mode", "time"])
+            df = (
+                acts.loc[:, technologies, :, :]["lvl"]
+                .unstack()
+                .groupby(["node_loc"])
+                .sum()
+            )
+
+        df.loc["World"] = df.sum(axis=0)
+
+        var_dict[var] = df
+
+    # Create dictionary for variable dataframes and write variables to excel
+    with pd.ExcelWriter("get_report_output.xlsx", engine="openpyxl") as writer:
+        for var in var_dict.keys():
+            var_dict[var].to_excel(writer, sheet_name=var)
+
+    frame_count = 0
+    fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(10, 6))
+    for k, v in var_dict.items():
+        r = np.int32(np.floor(frame_count / 2))
+        c = frame_count - r * 2
+        frame_count += 1
+        for reg in range(len(v)):
+            kwargs = {"marker": "o"} if reg == 11 else {}
+            axs[r, c].plot(v.columns, v.iloc[reg], label=v.index[reg], **kwargs)
+        axs[r, c].set_title(k)
+    axs[0, 0].legend(ncols=2)
+    plt.tight_layout()
+    plt.show()
+
+    return var_dict
diff --git a/message_ix_models/tools/costs/config.py b/message_ix_models/tools/costs/config.py
index 49bf4675dc..d4cbf47cc9 100644
--- a/message_ix_models/tools/costs/config.py
+++ b/message_ix_models/tools/costs/config.py
@@ -53,7 +53,7 @@ class Config:
     method: Literal["constant", "convergence", "gdp"] = "gdp"
 
     #: Model variant for which to project costs.
-    module: Literal["energy", "materials", "cooling"] = "energy"
+    module: Literal["energy", "materials", "cooling", "dac"] = "energy"
 
     #: Use vintages.
     #: