Issue with running Monte Carlo after importing new parameters and triangular uncertainty ranges from BW

[Ronja-Oerbeck]

Issue

Hi,
I have an issue with some parameters I have created in BW through Jupyter Notebook and then imported to AB. I have 4 scenarios and with my current project I can get AB to calculate the results, so I think the default parameter values are working fine after import. However, I get an error when trying to run Monte Carlo simulation, so my guidance counsellor Heather Logan suggested I posted the issue here.
I have defined my parameters as shown below in Jupyter Notebook:

This gets imported to AB. I then manually changed the uncertainty type of the parameters which are 0 as default, min and max from Triangular uncertainty to No uncertainty to avoid an Improper bound error I was getting.

The error when running Monte Carlo is shown below. I hope you can help me debug it😊

Reset project settings directory to:C:\Users\ronja\AppData\Local\pylca\Brightway3\BSc-Jupyter-2.774ac4c710d246aec82ed363481e637a
-hiding tab:LCA results
Reset metadata.
Loaded project:BSc Jupyter 2
Loading Scenario file. This may take a while for large files
Superstructure: Attempting to read as parameter scenario file.
<function ScenarioImportWidget.scenario_db_check at 0x00000227A4BA8EA0> -- 0.0010039806365966797
<function SuperstructureManager.fill_empty_process_keys_in_exchanges at 0x00000227A4578180> -- 0.0025649070739746094
<function SuperstructureManager.verify_scenario_process_keys at 0x00000227A45782C0> -- 0.02978038787841797
<function SuperstructureManager.check_duplicates at 0x00000227A4578540> -- 0.005026817321777344
<function SuperstructureManager.check_scenario_exchange_values at 0x00000227A4578400> -- 0.003981351852416992
<function SuperstructureManager.merge_flows_to_self at 0x00000227A455FE20> -- 0.012993574142456055
<function ScenarioImportWidget.sync_superstructure at 0x00000227A4BA8D60> -- 0.06897521018981934
<function ScenarioImportWidget.load_action at 0x00000227A4BA8C20> -- 6.8225109577178955
Current shape and databases in the MetaDataStore:(0, 0)set()
Adding:Detergent
Adding:ecoinvent 3.9.1_cutoff_ecoSpold02
Adding:biosphere3
Adding:Main activities
C:\Users\ronja\anaconda3\envs\ab\Lib\site-packages\seaborn\matrix.py:202: RuntimeWarning: All-NaN slice encountered
vmin = np.nanmin(calc_data)
C:\Users\ronja\anaconda3\envs\ab\Lib\site-packages\seaborn\matrix.py:207: RuntimeWarning: All-NaN slice encountered
vmax = np.nanmax(calc_data)
+showing tab:LCA results
Monte Carlo LCA: finished 30 iterations for 7 reference flows and 28 methods in 100.92 seconds.
Traceback (most recent call last):
File "C:\Users\ronja\anaconda3\envs\ab\Lib\site-packages\activity_browser\layouts\tabs\LCA_results_tabs.py", line 1249, in calculate_mc_lca
self.update_mc()
File "C:\Users\ronja\anaconda3\envs\ab\Lib\site-packages\activity_browser\layouts\tabs\LCA_results_tabs.py", line 1333, in update_mc
self.df = self.parent.mc.get_results_dataframe(method=method)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ronja\anaconda3\envs\ab\Lib\site-packages\activity_browser\bwutils\montecarlo.py", line 273, in get_results_dataframe
raise ValueError('You need to perform a Monte Carlo Simulation first.')
ValueError: You need to perform a Monte Carlo Simulation first.

[mrvisscher]

Hi @Ronja-Oerbeck,

Thanks for reaching out! Your post made me think about the parameter-scenario and montecarlo interaction in the activity browser. And I'm not sure it's even possible to run a montecarlo on a scenario LCA given the way we've implemented them.

I realize that the option is there anyways, but I can't get it to work myself (No error message like you have though). Do you get any results if you don't run it as a scenario LCA?

Kind regards,

Marin