lca2rmnd

Calculate LCA impacts from REMIND output files

Usage

To generate a reporting for the REMIND power sector, use the class ElectricityLCAReporting like so:

        rep = ElectricityLCAReporting(
            scenario, years, bw_project, Path(remind_output_folder),
            methods=indicators,
            regions=["EUR"])
        el_lca = rep.report_sectoral_LCA()
        el_lca.to_csv("sectoral_output.csv")
        
        tech_lca = rep.report_tech_LCA()

for the REMIND scenario scenario and the timesteps years, bw_project is the brightway2 project that hosts the relevant databases, remind_output_folder contains the REMIND scenario outputs, methods is a list of brightway2 methods for which one wants to generate reporting variables and with regions the regional scope can be defined (has to be a valid REMIND region and part of the outputs, of course).

report_sectoral_LCA returns pandas tables with the year, region, (lca) method dimensions. Results are given per kWh and total.

report_tech_LCA tries to find a set of activities for a REMIND output variable in the region and calculates impacts on the level of REMIND output variables. This tool has not been used for some time.

Reporting for the transport sector can be done in a similar way:

       rep = TransportLCAReporting(
           scenario, years, project_string(scenario), Path(remind_output_folder),
           methods=indicators,
           regions=["EUR"])
       ldv_lca = rep.report_LDV_LCA()
       ldv_lca.to_csv(get_storage_file_path(scenario, "LDV_LCA"))
       materials = rep.report_materials()
       materials.to_csv(get_storage_file_path(scenario, "materials"))

report_LDV_LCA reports impacts for the REMIND energy service output variables for LDVs. report_materials sums up the amounts of raw materials used (biosphere exchanges) for a set of materials that is available in ecoinvent.