BackboneTools#
This package aims to simply fy the use of the energy system modelling framework Backbone (https://gitlab.vtt.fi/backbone/backbone/) by providing python tools. It includes conversion of input and output gdx files to pandas dataframes and vice versa, automated plotting and some execution routines like automated scenario analysis. If you want to contribute, please refer to the guidelines outlined in contributing.
Contents#
- Usage
- Contributing
- API
- backbonetools.io
add_param_to_gdx_db()add_set_to_gdx_db()csvs_to_excel()csvs_to_frame_dict()excel_to_csvs()excel_to_frame_dict()excel_to_gdx()frame_dict_to_csvs()frame_dict_to_excel()frame_dict_to_gdx()- backbonetools.io.inputs
BackboneInputBackboneInput.__init__()BackboneInput.aggregate_timeseries()BackboneInput.input_symbolsBackboneInput.investInit_for_aggregatedTimeseries()BackboneInput.param_as_df_gdxdump()BackboneInput.set_symbols_as_attribs()BackboneInput.show_investInit_template()BackboneInput.update_gams_parameter_in_db()
- backbonetools.io.outputs
BackboneResultBackboneScenarioAnalysisBackboneScenarioAnalysis.__init__()BackboneScenarioAnalysis.energy_provided_per_unitType()BackboneScenarioAnalysis.installed_capacity()BackboneScenarioAnalysis.plot_energy_per_unitType()BackboneScenarioAnalysis.plot_energy_per_unitType_stacked()BackboneScenarioAnalysis.plot_installed_capacity()BackboneScenarioAnalysis.plot_priceDurationCurve()BackboneScenarioAnalysis.plot_priceDurationCurve2()BackboneScenarioAnalysis.plot_system_cost_composition()BackboneScenarioAnalysis.set_symbols_as_attribs()BackboneScenarioAnalysis.system_cost_composition()
- backbonetools.exec
- backbonetools.io