scenario_capacities

The central module containing all code dealing with importing data from Netzentwicklungsplan 2035, Version 2031, Szenario C

class EgonScenarioCapacities(**kwargs)[source]

Bases: Base

capacity

carrier

component

index

nuts

scenario_name

class NEP2021ConvPowerPlants(**kwargs)[source]

Bases: Base

a2035_capacity

a2035_chp

b2035_capacity

b2035_chp

b2040_capacity

b2040_chp

bnetza_id

c2035_capacity

c2035_chp

capacity

carrier

carrier_nep

chp

city

commissioned

federal_state

index

name

name_unit

postcode

status

class ScenarioCapacities(dependencies)[source]

Bases: Dataset

Create and fill table with installed generation capacities in Germany

This dataset creates and fills a table with the installed generation capacities in Germany in a lower spatial resolution (either per federal state or on national level). This data is coming from external sources (e.g. German grid developement plan for scenario eGon2035). The table is in downstream datasets used to define target values for the installed capacities.

Dependencies

Resulting tables

supply.egon_scenario_capacities is created and filled
supply.egon_nep_2021_conventional_powerplants is created and filled

name: str = 'ScenarioCapacities'

sources: DatasetSources = DatasetSources(tables={'boundaries': 'boundaries.vg250_lan', 'zensus_population': 'society.destatis_zensus_population_per_ha'}, files={'eGon2035_capacities': 'data_bundle_egon_data/nep2035_version2021/NEP2035_V2021_scnC2035.xlsx', 'eGon2035_list_conv_pp': 'data_bundle_egon_data/nep2035_version2021/Kraftwerksliste_NEP_2021_konv.csv', 'eGon100RE_capacities': 'data_bundle_egon_data/pypsa_eur/csvs/nodal_capacities.csv'}, urls={}): The sources used by the datasets. Could be tables, files and urls

targets: DatasetTargets = DatasetTargets(tables={'scenario_capacities': 'supply.egon_scenario_capacities', 'nep_conventional_powerplants': 'supply.egon_nep_2021_conventional_powerplants'}, files={}): The targets created by the datasets. Could be tables and files

version: str = '0.0.21'

add_metadata()[source]

Add metdata to supply.egon_scenario_capacities

Returns:: None.

aggr_nep_capacities(carriers)[source]

Aggregates capacities from NEP power plants list by carrier and federal state

Returns:: pandas.Dataframe – Dataframe with capacities per federal state and carrier

create_table()[source]

Create input tables for scenario setup

Returns:: None.

district_heating_input()[source]

Imports data for district heating networks in Germany

Returns:: None.

eGon100_capacities()[source]

Inserts installed capacities for the eGon100 scenario

Returns:: None.

insert_capacities_per_federal_state_nep()[source]

Inserts installed capacities per federal state accordning to NEP 2035 (version 2021), scenario 2035 C

Returns:: None.

insert_capacities_status_quo(scenario: str) → None[source]

Insert capacity of rural heat pumps for status quo

Returns:: None.

insert_data_nep()[source]

Overall function for importing scenario input data for eGon2035 scenario

Returns:: None.

insert_nep_list_powerplants(export=True)[source]

Insert list of conventional powerplants attached to the approval of the scenario report by BNetzA

Parameters:: export (bool) – Choose if nep list should be exported to the data base. The default is True. If export=False a data frame will be returned
Returns:: kw_liste_nep (pandas.DataFrame) – List of conventional power plants from nep if export=False

map_carrier()[source]

Map carriers from NEP and Marktstammdatenregister to carriers from eGon

Returns:: pandas.Series – List of mapped carriers

nuts_mapping()[source]

population_share()[source]

Calulate share of population in testmode

Returns:: float – Share of population in testmode