heat_demand_timeseries

• daily
• idp_pool
• service_sector

class EgonEtragoHeatCts(**kwargs)

Bases: sqlalchemy.ext.declarative.api.Base

bus_id

p_set

scn_name

class EgonEtragoTimeseriesIndividualHeating(**kwargs)

Bases: sqlalchemy.ext.declarative.api.Base

bus_id

dist_aggregated_mw

scenario

class EgonIndividualHeatingPeakLoads(**kwargs)

Bases: sqlalchemy.ext.declarative.api.Base

building_id

scenario

w_th

class EgonTimeseriesDistrictHeating(**kwargs)

Bases: sqlalchemy.ext.declarative.api.Base

area_id

dist_aggregated_mw

scenario

class HeatTimeSeries(dependencies)

Bases: egon.data.datasets.Dataset

calulate_peak_load(df, scenario)

create_district_heating_profile(scenario, area_id)

Create heat demand profile for district heating grid including demands of households and service sector.

Parameters:

• scenario (str) – Name of the selected scenario.
• area_id (int) – Index of the selected district heating grid

Returns:

df (pandas,DataFrame) – Hourly heat demand timeseries in MW for the selected district heating grid

create_district_heating_profile_python_like(scenario='eGon2035')

Creates profiles for all district heating grids in one scenario. Similar to create_district_heating_profile but faster and needs more RAM. The results are directly written into the database.

Parameters:scenario (str) – Name of the selected scenario. Returns:None.

create_individual_heat_per_mv_grid(scenario='eGon2035', mv_grid_id=1564)

create_individual_heating_peak_loads(scenario='eGon2035')

create_individual_heating_profile_python_like(scenario='eGon2035')

create_timeseries_for_building(building_id, scenario)

Generates final heat demand timeseries for a specific building

Parameters:

• building_id (int) – Index of the selected building
• scenario (str) – Name of the selected scenario.

Returns:

pandas.DataFrame – Hourly heat demand timeseries in MW for the selected building

district_heating(method='python')

export_etrago_cts_heat_profiles()

Export heat cts load profiles at mv substation level to etrago-table in the database

Returns:None.

individual_heating_per_mv_grid(method='python')

individual_heating_per_mv_grid_100(method='python')

individual_heating_per_mv_grid_2035(method='python')

individual_heating_per_mv_grid_tables(method='python')

store_national_profiles()