5.1.1.1. delta_e.EPAEmissions package

5.1.1.1.1. Submodules

5.1.1.1.2. delta_e.EPAEmissions.EPAEmissions module

module for EPAEmissions dataset

5.1.1.1.2.1. Project name:

OSeMOSYS Global

5.1.1.1.2.2. Tags:

Temporal:Years

Sector:Power

Uses:Generation

Subject:Technical, Subject:Environment

Dtype:Tabular

ReCar:Emissions

5.1.1.1.2.3. Researcher Name:

Trevor

5.1.1.1.2.4. Dataset name:

EPAEmissions

5.1.1.1.2.5. Description

100 year CO2, N20, and CH4 potential for varrious fuels

5.1.1.1.2.6. Version:

2018

5.1.1.1.2.7. Private or public:

Public

5.1.1.1.2.8. Region:

World

5.1.1.1.2.9. Time Horizon:

2018 : 2018

5.1.1.1.2.10. Spatial Resolution:

N/A

5.1.1.1.2.12. Citation requirements:

Environmental Protection Agency

class delta_e.EPAEmissions.EPAEmissions.EpaEmissions[source]

Bases: object

Processes EPA Emissions.

get_available_fuels() → List[str][source]

Gets available fuel types.

Returns:

List[str]

Available fuel types in EPA dataset

get_gwp(emissions: List[str] = ['co2', 'n2o', 'ch4']) → DataFrame[source]

Gets global warming potential adjusted emissions.

This function performs unit conversions and collapses the different emission types to a single co2 equivalent value for each fuel.

Parameters:

emissions – List[str] Emissions from the EPA to include in the gwp calcualtion. Must be in the set (‘co2’,’n2o’,’ch4’)

Returns:

pd.DataFrame

dataframe where each fuel has a calculated single GWP value

Example

>>> epa = EpaEmissions()
>>> gwp = epa.get_gwp()
>>> gwp.loc['Natural Gas', ('co2_eq', 'kT/PJ')]
>>> 50.3 # kT / PJ
get_osemosys_emissions(epa_fuel: str, regions: List[str], technologies: List[str], emissions: List[str], modes: List[int], years: List[int], epa_emissions: List[int] = ['co2', 'n2o', 'ch4']) → DataFrame[source]

Creates emission activity ratio dataframe for OSeMOSYS Models.

Parameters:

  • epa_fuel – str, Fuel from EPA dataset

  • regions – List[str], Regions in the OSeMOSYS Model

  • technologies – List[str], Techs to attach the EAR value to

  • emissions – List[str], Emission set

  • modes – List[int], Modes to attach emission value to

  • years – List[int], Years to attach emission value to

  • epa_emissions – List[str] = [‘co2’,’n2o’,’ch4’] Emissions to include from EPA when calculating global warming potential

Returns:

pd.DataFrame

EmissionActivityRatio otoole formatted dataframe with columns: [REGION, TECHNOLOGY, EMISSION, MODE_OF_OPERATION, YEAR, VALUE]

Example

>>> epa = EpaEmissions()
>>> epa.get_osemosys_emissions(
        epa_fuel='Natural Gas,
        regions=['BC'],
        technologies=['GAS'],
        emissions=['CO2'],
        modes=[1,2],
        years=[2020,2021])

5.1.1.1.3. Module contents