1.1.1

What is new?

• Arguments specific_lcia_methods, specific_lcia_categories and specific_lcia_abbrev in the normalize_lca_metrics (in normalization.py) and generate_mod_file_ampl (in generate_lcia_obj_ampl.py) functions to specify the LCIA methods or impact categories to be used when generating the AMPL .mod and .dat files.

What has changed?

• Set the refactor parameter in the normalize_lca_metrics function (in normalization.py) depending on the AoP (in impact_abbrev.csv) rather than the impact category.

1.1.0

What is new?

• The function change_direct_carbon_emissions_by_factor (in modify_inventory.py) changes all direct carbon emissions by a factor.
• The function add_carbon_dioxide_flow (in modify_inventory.py) adds a fossil carbon dioxide flow to an LCI dataset.

What has changed?

• Major update: the mescal package has been restructured from functional programming to object-oriented programming. The classes ESM (in esm.py), Database (in database.py) and Dataset (in database.py) have been created to perform operations on the ESM database, the LCI databases and the LCI datasets respectively. All functions from v1.0.3 are still available but have been reorganized in the classes.

1.0.3

What is new?

• The function change_fossil_carbon_flows_of_biofuels (in modify_inventory.py) changes fossil carbon emissions to biogenic carbon emissions if biofuels are used in the foreground.
• Metadata has been added at the beginning of AMPL files (in normalized_lca_metric from normalization.py and generate_lci_obj from generate_lci_obj_ampl.py).
• Correction of CA-QC heat flows in the ecoinvent database for global markets (in remove_quebec_flow_in_global_heat_market from modify_inventory.py).
• Option added to check for duplicated activities in terms of (product, name, location) tuple when merging several databases (in merge_databases from utils.py).
• A specific category for imports and exports has been added in technology_specifics.csv to avoid their regionalization to the ESM geography.

What has changed?

• The efficiency harmonization functions (in adapt_efficiency.py) can now accept multiple types of input flows instead of just one.
• The arguments of the regionalization functions have been renamed to differentiate between regionalization and spatialization.
• Renamed AMPL files (by default, techs_lcia.dat and objectives.mod are used regardless of the LCIA method employed).
• For AMPL files generation, the refactor parameter is computed based on the LCA indicator data rather than being a user input.

1.0.2

What is new?

• Regionalization of biosphere flows in the regionalize_activity_foreground function (from regionalization.py), and added conditions to prevent the regionalization when unnecessary.
• Correction of efficiency differences between the ESM and LCI databases (scale direct emissions accordingly) in the correct_esm_and_lca_efficiency_differences function (from adapt_efficiency.py).
• Option to return the database instead of writing it (or both) in the create_esm_database (from double_counting.py) and create_new_database_with_esm_results (from esm_back_to_lca.py) functions.

What has changed?

• concatenate_database function renamed to load_multiple_databases to avoid confusion with new merge_databases function (from utils.py).
• unit_conversion.csv file has its columns From and To renamed to ESM and LCA for better clarity.
• Reformatted and added new information to the double-counting removal output csv files.

1.0.1

What is already available in mescal?

• Perform double-counting removal using the create_esm_database function (from double_counting.py).
• Compute your LCA metrics for a set of impact categories using the compute_impact_scores function (from impact_assessment.py).
• Reformat results as .mod and .dat files if you are using AMPL with the normalize_lca_metrics (from normalization.py) and gen_lcia_obj (from generate_lci_obj_ampl.py) functions.
• Feed the ESM results back in the LCI database using the create_new_database_with_esm_results function (from esm_back_to_lca.py).
• Add CPC categories to additional LCI datasets, e.g., from Premise, with the create_new_database_with_CPC_categories function (from CPC.py).
• Relink a mapping to a new database using the create_complementary_database function (from link_to_premise.py).
• Relink a mapping to a new version of ecoinvent using the change_ecoinvent_version_mapping and update_unit_conversion_file functions (change_ecoinvent.py).
• Regionalize the foreground of LCI datasets by setting regionalize_foregrounds=True in the create_esm_database function (from double_counting.py).