Import the official IPCC's GWP20a/GWP100a characterization factors into Brightway2, with the addition of hydrogen and biogenic CO2 uptake and release flows. This is needed when using premise -generated LCI databases for two reasons:
- in some scenarios, hydrogen-based supply chains (and associated losses) are significant
- some scenarios rely on Bioenergy with carbon capture and storage (BECCS), Direct Air capture (DAC), and any other forms of storage using biomass or atmospheric resources. Without it, negative emission technologies (NET) do not yield a net negative carbon footprint.
This adds:
-
IPCC 2013 and 2021, climate change, GWP 20/100a, with hydrogen
- "Hydrogen", with a CF of 33 and 11 for GWP20 and GWP100 respectively.
- Biogenic methane with a CF reduced by 2.75 kg CO2-eq. compared to fossil methane, as per Muñoz and Schmidt, DOI: 10.1007/s11367-016-1091-z.
-
IPCC 2013 and 2021, climate change, GWP 20/100a, with hydrogen and bio CO2
- Biogenic methane with a CF similar to that of fossil methane, as per Muñoz and Schmidt, DOI: 10.1007/s11367-016-1091-z.
- "Hydrogen", with a CF of 33 and 11 for GWP20 and GWP100 respectively.
- "Carbon dioxide, in air", with a CF of -1
- "Carbon dioxide, non-fossil, resource correction", with a CF of -1
- "Carbon dioxide, non-fossil", with a CF of +1
The biogenic carbon balance in the rest of the ecoinvent database should be correct. Hence, using this method, instead of the regular IPCC GWP method, should not yield any difference, as long as BECCS or other CDR technologies, are not present and solicited in the database.
The characterization factors for the global warming impact GWP100a of for hydrogen is taken from Warwick et al, 2022.
Now works with bw2io 0.8.7
and bw2io 0.8.8
.
If bw2io 0.8.8
is present, IPCC 2021 methods will be
installed, otherwise IPCC 2013 methods will be installed.
In an open Brightway2 project:
from premise_gwp import add_premise_gwp
add_premise_gwp()
pip install premise_gwp
or
conda install -c romainsacchi premise_gwp