dwind.scenarios

dwind.scenarios#

Provides the scenario-specific mapping for varying financial and model configuration data.

Functions

`config_cambium`(scenario)	Loads the cambium configuration name based on `scenario`.
`config_costs`(scenario, year)	Loads the cost configuration based on the ATB analysis.
`config_financial`(scenario, year)	Loads the financial configuration based on the ATB analysis.
`config_nem`(scenario, year)	Provides NEM configuration based on `scenario` and `year`.
`config_performance`(scenario, year)	Loads the technology performance configurations.

dwind.scenarios.config_cambium(scenario)[source]#

Loads the cambium configuration name based on scenario.

Parameters:: scenario (dwind.config.Scenario) – Valid dwind.config.Scenario.
Returns:: Name of the Cambium scenario to use.
Return type:: str

dwind.scenarios.config_costs(scenario, year)[source]#

Loads the cost configuration based on the ATB analysis.

Parameters:

Returns:

Dictionary of ATB assumptions to be used for PySAM’s cost inputs.

Return type:

dict

dwind.scenarios.config_financial(scenario, year)[source]#

Loads the financial configuration based on the ATB analysis.

Parameters:

Returns:

Dictionary of ATB assumptions to be used for configuration PySAM.

Return type:

dict

dwind.scenarios.config_nem(scenario, year)[source]#

Provides NEM configuration based on scenario and year.

Parameters:

Returns:

Name of the NEM scenario file to use.

Return type:

str

dwind.scenarios.config_performance(scenario, year)[source]#

Loads the technology performance configurations.

Parameters:

Returns:

Performance data based on the scale of each technology.

Return type:

pd.DataFrame