electricity_demand_etrago

The central module containing code to merge data on electricity demand and feed this data into the corresponding etraGo tables.

class ElectricalLoadEtrago(dependencies)

Bases: egon.data.datasets.Dataset

Aggregate annual and hourly electricity demands per substation and export to eTraGo tables

All loads including time series are aggregated per corresponding substation and inserted into the existing eTraGo tables. Additionally the aggregated national time series are stored to function as an input for pypsa-eur-sec.

Dependencies

• CtsElectricityDemand

• IndustrialDemandCurves

• hh_buildings

Resulting tables

• grid.egon_etrago_load is extended

• grid.egon_etrago_load_timeseries is extended

name: str = 'Electrical_load_etrago'

version: str = '0.0.8'

demands_per_bus(scenario)

Sum all electricity demand curves up per bus

Parameters

scenario (str) – Scenario name.

Returns

pandas.DataFrame – Aggregated electrical demand timeseries per bus

export_to_db()

Prepare and export eTraGo-ready information of loads per bus and their time series to the database

Returns

None.

store_national_profiles(ind_curves_sites, ind_curves_osm, cts_curves, hh_curves, scenario)

Store electrical load timeseries aggregated for national level as an input for pypsa-eur-sec

Parameters

• ind_curves_sites (pd.DataFrame) – Industrial load timeseries for industrial sites per bus

• ind_curves_osm (pd.DataFrame) – Industrial load timeseries for industrial osm areas per bus

• cts_curves (pd.DataFrame) – CTS load curves per bus

• hh_curves (pd.DataFrame) – Household load curves per bus

• scenario (str) – Scenario name

Returns

None.