What is new?

• PathwayESM class (in esm.py) to create databases and impact score dataframes for all ESM time steps at once.
• Contribution analysis of processes in compute_impact_scores (in impact_assessment.py) by setting contribution_analysis to processes.
• max_depth_double_counting_search argument in the ESM class to limit the depth of the search in the double-counting removal process (in double_counting.py).
• Harmonization of efficiency and capacity factor with the ESM in the ESM results database (in esm_back_to_lca.py and adapt_efficiency.py).
• Loss coefficient (based on the one of the original dataset) for datasets in the ESM results database (in esm_back_to_lca.py).

What has changed?

• Corrected unit conversion for elementary flows contribution analysis in compute_impact_scores (in impact_assessment.py).
• Improved double-counting removal process for market-type activities in the ESM results database (i.e., removal of infrastructure flows) (in esm_back_to_lca.py and double_counting.py).
• If specified in tech_specifics, double-counting removal during background search is allowed even if a flows has already been set to zero (in double_counting.py).
• Relinking of the main database with the ESM results database can be based on activity names and/or product names, and for a user-defined set of geographies locations (in esm_back_to_lca.py).
• Default esm_location is GLO and default accepted_locations is [esm_location] in the ESM class (in esm.py).