mescal.generate_lcia_obj_ampl

Functions

generate_mod_file_ampl(→ None)

Create an AMPL mod file containing the LCIA equations. This method has been specifically designed for the

Module Contents

mescal.generate_lcia_obj_ampl.generate_mod_file_ampl(self, impact_abbrev: pandas.DataFrame, lcia_methods: list[str], specific_lcia_categories: list[str] = None, specific_lcia_abbrev: list[str] = None, assessment_type: str = 'esm', path: str = None, file_name: str = None, metadata: dict = None, energyscope_version: str = 'epfl') → None[source]

Create an AMPL mod file containing the LCIA equations. This method has been specifically designed for the EnergyScope model. Currently, it supports the ‘epfl’ and ‘core’ versions of EnergyScope.

Parameters:

  • impact_abbrev (pandas.DataFrame) – dataframe containing the impact abbreviations of the LCIA method

  • lcia_methods (list[str]) – LCIA methods to be used

  • specific_lcia_categories (list[str]) – specific LCIA categories to be used

  • specific_lcia_abbrev (list[str]) – specific LCIA abbreviations to be used

  • assessment_type (str) – type of assessment, can be ‘esm’ for the full LCA database, ‘direct emissions’ for the computation of direct emissions only, or ‘territorial emissions’ for territorial and abroad emissions. Default is ‘esm’.

  • path (str) – path where the mod file will be saved. Default is results_path_file from the ESM class.

  • file_name (str) – name of the .mod file. Default is ‘objectives’ if assessment_type is ‘esm’, ‘objectives_direct’ if assessment_type is ‘direct emissions’, and ‘objectives_territorial’ if assessment_type is ‘territorial emissions’.

  • metadata (dict) – dictionary containing the metadata to be written at the beginning of the file

  • energyscope_version (str) – version of EnergyScope model used, can be ‘epfl’ or ‘core’

Returns:

None (writes the file)

Return type:

None