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"""The central module containing all code dealing with power plant data. |
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""" |
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from geoalchemy2 import Geometry |
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from sqlalchemy import ( |
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BigInteger, Column, Float, Integer, Sequence, String, DateTime, Boolean |
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) |
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from sqlalchemy.dialects.postgresql import JSONB |
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from sqlalchemy.ext.declarative import declarative_base |
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from sqlalchemy.orm import sessionmaker |
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import geopandas as gpd |
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import numpy as np |
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import pandas as pd |
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from egon.data import db |
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from egon.data.datasets import Dataset |
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from egon.data.datasets.power_plants.conventional import ( |
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match_nep_no_chp, |
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select_nep_power_plants, |
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select_no_chp_combustion_mastr, |
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) |
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from egon.data.datasets.power_plants.mastr import import_mastr |
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from egon.data.datasets.power_plants.pv_rooftop import pv_rooftop_per_mv_grid |
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from egon.data.datasets.power_plants.pv_rooftop_buildings import ( |
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geocode_mastr_data, |
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pv_rooftop_to_buildings, |
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) |
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import egon.data.config |
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import egon.data.datasets.power_plants.assign_weather_data as assign_weather_data # noqa: E501 |
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import egon.data.datasets.power_plants.pv_ground_mounted as pv_ground_mounted |
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import egon.data.datasets.power_plants.wind_farms as wind_onshore |
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import egon.data.datasets.power_plants.wind_offshore as wind_offshore |
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Base = declarative_base() |
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class EgonPowerPlantsPv(Base): |
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__tablename__ = "egon_power_plants_pv" |
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__table_args__ = {"schema": "supply"} |
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id = Column(Integer, Sequence("pp_pv_seq"), primary_key=True) |
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bus_id = Column(Integer, nullable=True) # Grid district id |
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gens_id = Column(String, nullable=True) # EinheitMastrNummer |
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status = Column(String, nullable=True) # EinheitBetriebsstatus |
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commissioning_date = Column(DateTime, nullable=True) # Inbetriebnahmedatum |
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postcode = Column(String(5), nullable=True) # Postleitzahl |
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city = Column(String(50), nullable=True) # Ort |
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federal_state = Column(String(21), nullable=True) # Bundesland |
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site_type = Column(String(69), nullable=True) # Lage |
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usage_sector = Column(String(36), nullable=True) # Nutzungsbereich |
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orientation_primary = Column(String(11), nullable=True) # Hauptausrichtung |
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orientation_primary_angle = Column(String(18), nullable=True) # HauptausrichtungNeigungswinkel |
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orientation_secondary = Column(String(11), nullable=True) # Nebenausrichtung |
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orientation_secondary_angle = Column(String(18), nullable=True) # NebenausrichtungNeigungswinkel |
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orientation_uniform = Column(Boolean, nullable=True) # EinheitlicheAusrichtungUndNeigungswinkel |
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module_count = Column(Float, nullable=True) # AnzahlModule |
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capacity = Column(Float) # Nettonennleistung |
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capacity_inverter = Column(Float, nullable=True) # ZugeordneteWirkleistungWechselrichter in MW |
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feedin_type = Column(String(47), nullable=True) # Einspeisungsart |
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voltage_level = Column(Integer, nullable=True) |
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geom = Column(Geometry("POINT", 4326), index=True, nullable=True) |
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class EgonPowerPlantsWind(Base): |
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__tablename__ = "egon_power_plants_wind" |
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__table_args__ = {"schema": "supply"} |
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id = Column(Integer, Sequence("pp_wind_seq"), primary_key=True) |
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bus_id = Column(Integer, nullable=True) # Grid district id |
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gens_id = Column(String, nullable=True) # EinheitMastrNummer |
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status = Column(String, nullable=True) # EinheitBetriebsstatus |
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commissioning_date = Column(DateTime, nullable=True) # Inbetriebnahmedatum |
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postcode = Column(String(5), nullable=True) # Postleitzahl |
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city = Column(String(50), nullable=True) # Ort |
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federal_state = Column(String(21), nullable=True) # Bundesland |
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site_type = Column(String(17), nullable=True) # Lage |
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manufacturer_name = Column(String(100), nullable=True) # Hersteller |
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type_name = Column(String(100), nullable=True) # Typenbezeichnung |
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hub_height = Column(Float, nullable=True) # Nabenhoehe |
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rotor_diameter = Column(Float, nullable=True) # Rotordurchmesser |
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capacity = Column(Float) # Nettonennleistung |
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feedin_type = Column(String(47), nullable=True) # Einspeisungsart |
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voltage_level = Column(Integer, nullable=True) |
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geom = Column(Geometry("POINT", 4326), index=True, nullable=True) |
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class EgonPowerPlantsBiomass(Base): |
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__tablename__ = "egon_power_plants_biomass" |
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__table_args__ = {"schema": "supply"} |
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id = Column(Integer, Sequence("pp_biomass_seq"), primary_key=True) |
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bus_id = Column(Integer, nullable=True) # Grid district id |
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gens_id = Column(String, nullable=True) # EinheitMastrNummer |
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status = Column(String, nullable=True) # EinheitBetriebsstatus |
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commissioning_date = Column(DateTime, nullable=True) # Inbetriebnahmedatum |
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postcode = Column(String(5), nullable=True) # Postleitzahl |
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city = Column(String(50), nullable=True) # Ort |
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federal_state = Column(String(21), nullable=True) # Bundesland |
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technology = Column(String(45), nullable=True) # Technologie |
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fuel_name = Column(String(52), nullable=True) # Hauptbrennstoff |
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fuel_type = Column(String(19), nullable=True) # Biomasseart |
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capacity = Column(Float) # Nettonennleistung |
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th_capacity = Column(Float, nullable=True) # ThermischeNutzleistung |
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feedin_type = Column(String(47), nullable=True) # Einspeisungsart |
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voltage_level = Column(Integer, nullable=True) |
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geom = Column(Geometry("POINT", 4326), index=True, nullable=True) |
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class EgonPowerPlantsHydro(Base): |
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__tablename__ = "egon_power_plants_hydro" |
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__table_args__ = {"schema": "supply"} |
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id = Column(Integer, Sequence("pp_hydro_seq"), primary_key=True) |
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bus_id = Column(Integer, nullable=True) # Grid district id |
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gens_id = Column(String, nullable=True) # EinheitMastrNummer |
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status = Column(String, nullable=True) # EinheitBetriebsstatus |
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commissioning_date = Column(DateTime, nullable=True) # Inbetriebnahmedatum |
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postcode = Column(String(5), nullable=True) # Postleitzahl |
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city = Column(String(50), nullable=True) # Ort |
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federal_state = Column(String(21), nullable=True) # Bundesland |
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type = Column(Integer, nullable=True) # ArtDerWasserkraftanlage |
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water_origin = Column(String(20), nullable=True) # ArtDesZuflusses |
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capacity = Column(Float, nullable=False) # Nettonennleistung |
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feedin_type = Column(String(47), nullable=True) # Einspeisungsart |
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voltage_level = Column(Integer, nullable=True) |
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geom = Column(Geometry("POINT", 4326), index=True, nullable=True) |
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View Code Duplication |
class EgonPowerPlants(Base): |
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__tablename__ = "egon_power_plants" |
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__table_args__ = {"schema": "supply"} |
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id = Column(BigInteger, Sequence("pp_seq"), primary_key=True) |
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sources = Column(JSONB) |
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source_id = Column(JSONB) |
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carrier = Column(String) |
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el_capacity = Column(Float) |
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bus_id = Column(Integer) |
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voltage_level = Column(Integer) |
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weather_cell_id = Column(Integer) |
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scenario = Column(String) |
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geom = Column(Geometry("POINT", 4326), index=True) |
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class PowerPlants(Dataset): |
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def __init__(self, dependencies): |
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super().__init__( |
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name="PowerPlants", |
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version="0.0.15", |
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dependencies=dependencies, |
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tasks=( |
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create_tables, |
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import_mastr, |
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insert_hydro_biomass, |
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allocate_conventional_non_chp_power_plants, |
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allocate_other_power_plants, |
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{ |
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wind_onshore.insert, |
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pv_ground_mounted.insert, |
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( |
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pv_rooftop_per_mv_grid, |
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geocode_mastr_data, |
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pv_rooftop_to_buildings, |
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), |
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}, |
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wind_offshore.insert, |
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assign_weather_data.weatherId_and_busId, |
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), |
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) |
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def create_tables(): |
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"""Create tables for power plant data |
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Returns |
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------- |
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None. |
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""" |
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# Tables for future scenarios |
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cfg = egon.data.config.datasets()["power_plants"] |
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db.execute_sql(f"CREATE SCHEMA IF NOT EXISTS {cfg['target']['schema']};") |
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engine = db.engine() |
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db.execute_sql( |
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f"""DROP TABLE IF EXISTS |
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{cfg['target']['schema']}.{cfg['target']['table']}""" |
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) |
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db.execute_sql("""DROP SEQUENCE IF EXISTS pp_seq""") |
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EgonPowerPlants.__table__.create(bind=engine, checkfirst=True) |
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# Tables for status quo |
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tables = [ |
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EgonPowerPlantsWind, |
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EgonPowerPlantsPv, |
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EgonPowerPlantsBiomass, |
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EgonPowerPlantsHydro, |
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] |
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for t in tables: |
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db.execute_sql( |
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f"DROP TABLE IF EXISTS {t.schema}.{t.name} CASCADE;" |
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) |
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t.__table__.create(bind=engine, checkfirst=True) |
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def scale_prox2now(df, target, level="federal_state"): |
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"""Scale installed capacities linear to status quo power plants |
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Parameters |
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---------- |
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df : pandas.DataFrame |
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Status Quo power plants |
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target : pandas.Series |
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Target values for future scenario |
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level : str, optional |
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Scale per 'federal_state' or 'country'. The default is 'federal_state'. |
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Returns |
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------- |
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df : pandas.DataFrame |
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Future power plants |
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""" |
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if level == "federal_state": |
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df.loc[:, "Nettonennleistung"] = ( |
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df.groupby(df.Bundesland) |
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.Nettonennleistung.apply(lambda grp: grp / grp.sum()) |
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.mul(target[df.Bundesland.values].values) |
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) |
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else: |
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df.loc[:, "Nettonennleistung"] = df.Nettonennleistung.apply( |
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lambda x: x / x.sum() |
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).mul(target.values) |
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df = df[df.Nettonennleistung > 0] |
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return df |
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def select_target(carrier, scenario): |
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"""Select installed capacity per scenario and carrier |
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Parameters |
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---------- |
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carrier : str |
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Name of energy carrier |
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scenario : str |
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Name of scenario |
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Returns |
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------- |
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pandas.Series |
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Target values for carrier and scenario |
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""" |
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cfg = egon.data.config.datasets()["power_plants"] |
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return ( |
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pd.read_sql( |
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f"""SELECT DISTINCT ON (b.gen) |
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REPLACE(REPLACE(b.gen, '-', ''), 'ü', 'ue') as state, |
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a.capacity |
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FROM {cfg['sources']['capacities']} a, |
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{cfg['sources']['geom_federal_states']} b |
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WHERE a.nuts = b.nuts |
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AND scenario_name = '{scenario}' |
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AND carrier = '{carrier}' |
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AND b.gen NOT IN ('Baden-Württemberg (Bodensee)', |
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'Bayern (Bodensee)')""", |
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con=db.engine(), |
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) |
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.set_index("state") |
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.capacity |
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) |
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290
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291
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def filter_mastr_geometry(mastr, federal_state=None): |
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292
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"""Filter data from MaStR by geometry |
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Parameters |
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---------- |
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296
|
|
|
mastr : pandas.DataFrame |
|
297
|
|
|
All power plants listed in MaStR |
|
298
|
|
|
federal_state : str or None |
|
299
|
|
|
Name of federal state whoes power plants are returned. |
|
300
|
|
|
If None, data for Germany is returned |
|
301
|
|
|
|
|
302
|
|
|
Returns |
|
303
|
|
|
------- |
|
304
|
|
|
mastr_loc : pandas.DataFrame |
|
305
|
|
|
Power plants listed in MaStR with geometry inside German boundaries |
|
306
|
|
|
|
|
307
|
|
|
""" |
|
308
|
|
|
cfg = egon.data.config.datasets()["power_plants"] |
|
309
|
|
|
|
|
310
|
|
|
if type(mastr) == pd.core.frame.DataFrame: |
|
311
|
|
|
# Drop entries without geometry for insert |
|
312
|
|
|
mastr_loc = mastr[ |
|
313
|
|
|
mastr.Laengengrad.notnull() & mastr.Breitengrad.notnull() |
|
314
|
|
|
] |
|
315
|
|
|
|
|
316
|
|
|
# Create geodataframe |
|
317
|
|
|
mastr_loc = gpd.GeoDataFrame( |
|
318
|
|
|
mastr_loc, |
|
319
|
|
|
geometry=gpd.points_from_xy( |
|
320
|
|
|
mastr_loc.Laengengrad, mastr_loc.Breitengrad, crs=4326 |
|
321
|
|
|
), |
|
322
|
|
|
) |
|
323
|
|
|
else: |
|
324
|
|
|
mastr_loc = mastr.copy() |
|
325
|
|
|
|
|
326
|
|
|
# Drop entries outside of germany or federal state |
|
327
|
|
|
if not federal_state: |
|
328
|
|
|
sql = f"SELECT geometry as geom FROM {cfg['sources']['geom_germany']}" |
|
329
|
|
|
else: |
|
330
|
|
|
sql = f""" |
|
331
|
|
|
SELECT geometry as geom |
|
332
|
|
|
FROM boundaries.vg250_lan_union |
|
333
|
|
|
WHERE REPLACE(REPLACE(gen, '-', ''), 'ü', 'ue') = '{federal_state}'""" |
|
334
|
|
|
|
|
335
|
|
|
mastr_loc = ( |
|
336
|
|
|
gpd.sjoin( |
|
337
|
|
|
gpd.read_postgis(sql, con=db.engine()).to_crs(4326), |
|
338
|
|
|
mastr_loc, |
|
339
|
|
|
how="right", |
|
340
|
|
|
) |
|
341
|
|
|
.query("index_left==0") |
|
342
|
|
|
.drop("index_left", axis=1) |
|
343
|
|
|
) |
|
344
|
|
|
|
|
345
|
|
|
return mastr_loc |
|
346
|
|
|
|
|
347
|
|
|
|
|
348
|
|
|
def insert_biomass_plants(scenario): |
|
349
|
|
|
"""Insert biomass power plants of future scenario |
|
350
|
|
|
|
|
351
|
|
|
Parameters |
|
352
|
|
|
---------- |
|
353
|
|
|
scenario : str |
|
354
|
|
|
Name of scenario. |
|
355
|
|
|
|
|
356
|
|
|
Returns |
|
357
|
|
|
------- |
|
358
|
|
|
None. |
|
359
|
|
|
|
|
360
|
|
|
""" |
|
361
|
|
|
cfg = egon.data.config.datasets()["power_plants"] |
|
362
|
|
|
|
|
363
|
|
|
# import target values from NEP 2021, scneario C 2035 |
|
364
|
|
|
target = select_target("biomass", scenario) |
|
365
|
|
|
|
|
366
|
|
|
# import data for MaStR |
|
367
|
|
|
mastr = pd.read_csv(cfg["sources"]["mastr_biomass"]).query( |
|
368
|
|
|
"EinheitBetriebsstatus=='InBetrieb'" |
|
369
|
|
|
) |
|
370
|
|
|
|
|
371
|
|
|
# Drop entries without federal state or 'AusschließlichWirtschaftszone' |
|
372
|
|
|
mastr = mastr[ |
|
373
|
|
|
mastr.Bundesland.isin( |
|
374
|
|
|
pd.read_sql( |
|
375
|
|
|
f"""SELECT DISTINCT ON (gen) |
|
376
|
|
|
REPLACE(REPLACE(gen, '-', ''), 'ü', 'ue') as states |
|
377
|
|
|
FROM {cfg['sources']['geom_federal_states']}""", |
|
378
|
|
|
con=db.engine(), |
|
379
|
|
|
).states.values |
|
380
|
|
|
) |
|
381
|
|
|
] |
|
382
|
|
|
|
|
383
|
|
|
# Scaling will be done per federal state in case of eGon2035 scenario. |
|
384
|
|
|
if scenario == "eGon2035": |
|
385
|
|
|
level = "federal_state" |
|
386
|
|
|
else: |
|
387
|
|
|
level = "country" |
|
388
|
|
|
|
|
389
|
|
|
# Choose only entries with valid geometries inside DE/test mode |
|
390
|
|
|
mastr_loc = filter_mastr_geometry(mastr).set_geometry("geometry") |
|
391
|
|
|
|
|
392
|
|
|
# Scale capacities to meet target values |
|
393
|
|
|
mastr_loc = scale_prox2now(mastr_loc, target, level=level) |
|
394
|
|
|
|
|
395
|
|
|
# Assign bus_id |
|
396
|
|
|
if len(mastr_loc) > 0: |
|
397
|
|
|
mastr_loc["voltage_level"] = assign_voltage_level(mastr_loc, cfg) |
|
398
|
|
|
mastr_loc = assign_bus_id(mastr_loc, cfg) |
|
399
|
|
|
|
|
400
|
|
|
# Insert entries with location |
|
401
|
|
|
session = sessionmaker(bind=db.engine())() |
|
402
|
|
|
|
|
403
|
|
|
for i, row in mastr_loc.iterrows(): |
|
404
|
|
|
if not row.ThermischeNutzleistung > 0: |
|
405
|
|
|
entry = EgonPowerPlants( |
|
406
|
|
|
sources={"el_capacity": "MaStR scaled with NEP 2021"}, |
|
407
|
|
|
source_id={"MastrNummer": row.EinheitMastrNummer}, |
|
408
|
|
|
carrier="biomass", |
|
409
|
|
|
el_capacity=row.Nettonennleistung, |
|
410
|
|
|
scenario=scenario, |
|
411
|
|
|
bus_id=row.bus_id, |
|
412
|
|
|
voltage_level=row.voltage_level, |
|
413
|
|
|
geom=f"SRID=4326;POINT({row.Laengengrad} {row.Breitengrad})", |
|
414
|
|
|
) |
|
415
|
|
|
session.add(entry) |
|
416
|
|
|
|
|
417
|
|
|
session.commit() |
|
418
|
|
|
|
|
419
|
|
|
|
|
420
|
|
|
def insert_hydro_plants(scenario): |
|
421
|
|
|
"""Insert hydro power plants of future scenario. |
|
422
|
|
|
|
|
423
|
|
|
Hydro power plants are diveded into run_of_river and reservoir plants |
|
424
|
|
|
according to Marktstammdatenregister. |
|
425
|
|
|
Additional hydro technologies (e.g. turbines inside drinking water |
|
426
|
|
|
systems) are not considered. |
|
427
|
|
|
|
|
428
|
|
|
Parameters |
|
429
|
|
|
---------- |
|
430
|
|
|
scenario : str |
|
431
|
|
|
Name of scenario. |
|
432
|
|
|
|
|
433
|
|
|
Returns |
|
434
|
|
|
------- |
|
435
|
|
|
None. |
|
436
|
|
|
|
|
437
|
|
|
""" |
|
438
|
|
|
cfg = egon.data.config.datasets()["power_plants"] |
|
439
|
|
|
|
|
440
|
|
|
# Map MaStR carriers to eGon carriers |
|
441
|
|
|
map_carrier = { |
|
442
|
|
|
"run_of_river": ["Laufwasseranlage"], |
|
443
|
|
|
"reservoir": ["Speicherwasseranlage"], |
|
444
|
|
|
} |
|
445
|
|
|
|
|
446
|
|
|
for carrier in map_carrier.keys(): |
|
447
|
|
|
|
|
448
|
|
|
# import target values |
|
449
|
|
|
target = select_target(carrier, scenario) |
|
450
|
|
|
|
|
451
|
|
|
# import data for MaStR |
|
452
|
|
|
mastr = pd.read_csv(cfg["sources"]["mastr_hydro"]).query( |
|
453
|
|
|
"EinheitBetriebsstatus=='InBetrieb'" |
|
454
|
|
|
) |
|
455
|
|
|
|
|
456
|
|
|
# Choose only plants with specific carriers |
|
457
|
|
|
mastr = mastr[mastr.ArtDerWasserkraftanlage.isin(map_carrier[carrier])] |
|
458
|
|
|
|
|
459
|
|
|
# Drop entries without federal state or 'AusschließlichWirtschaftszone' |
|
460
|
|
|
mastr = mastr[ |
|
461
|
|
|
mastr.Bundesland.isin( |
|
462
|
|
|
pd.read_sql( |
|
463
|
|
|
f"""SELECT DISTINCT ON (gen) |
|
464
|
|
|
REPLACE(REPLACE(gen, '-', ''), 'ü', 'ue') as states |
|
465
|
|
|
FROM {cfg['sources']['geom_federal_states']}""", |
|
466
|
|
|
con=db.engine(), |
|
467
|
|
|
).states.values |
|
468
|
|
|
) |
|
469
|
|
|
] |
|
470
|
|
|
|
|
471
|
|
|
# Scaling will be done per federal state in case of eGon2035 scenario. |
|
472
|
|
|
if scenario == "eGon2035": |
|
473
|
|
|
level = "federal_state" |
|
474
|
|
|
else: |
|
475
|
|
|
level = "country" |
|
476
|
|
|
|
|
477
|
|
|
# Scale capacities to meet target values |
|
478
|
|
|
mastr = scale_prox2now(mastr, target, level=level) |
|
479
|
|
|
|
|
480
|
|
|
# Choose only entries with valid geometries inside DE/test mode |
|
481
|
|
|
mastr_loc = filter_mastr_geometry(mastr).set_geometry("geometry") |
|
482
|
|
|
# TODO: Deal with power plants without geometry |
|
483
|
|
|
|
|
484
|
|
|
# Assign bus_id and voltage level |
|
485
|
|
|
if len(mastr_loc) > 0: |
|
486
|
|
|
mastr_loc["voltage_level"] = assign_voltage_level(mastr_loc, cfg) |
|
487
|
|
|
mastr_loc = assign_bus_id(mastr_loc, cfg) |
|
488
|
|
|
|
|
489
|
|
|
# Insert entries with location |
|
490
|
|
|
session = sessionmaker(bind=db.engine())() |
|
491
|
|
|
for i, row in mastr_loc.iterrows(): |
|
492
|
|
|
entry = EgonPowerPlants( |
|
493
|
|
|
sources={"el_capacity": "MaStR scaled with NEP 2021"}, |
|
494
|
|
|
source_id={"MastrNummer": row.EinheitMastrNummer}, |
|
495
|
|
|
carrier=carrier, |
|
496
|
|
|
el_capacity=row.Nettonennleistung, |
|
497
|
|
|
scenario=scenario, |
|
498
|
|
|
bus_id=row.bus_id, |
|
499
|
|
|
voltage_level=row.voltage_level, |
|
500
|
|
|
geom=f"SRID=4326;POINT({row.Laengengrad} {row.Breitengrad})", |
|
501
|
|
|
) |
|
502
|
|
|
session.add(entry) |
|
503
|
|
|
|
|
504
|
|
|
session.commit() |
|
505
|
|
|
|
|
506
|
|
|
|
|
507
|
|
|
def assign_voltage_level(mastr_loc, cfg): |
|
508
|
|
|
"""Assigns voltage level to power plants. |
|
509
|
|
|
|
|
510
|
|
|
If location data inluding voltage level is available from |
|
511
|
|
|
Marktstammdatenregister, this is used. Otherwise the voltage level is |
|
512
|
|
|
assigned according to the electrical capacity. |
|
513
|
|
|
|
|
514
|
|
|
Parameters |
|
515
|
|
|
---------- |
|
516
|
|
|
mastr_loc : pandas.DataFrame |
|
517
|
|
|
Power plants listed in MaStR with geometry inside German boundaries |
|
518
|
|
|
|
|
519
|
|
|
Returns |
|
520
|
|
|
------- |
|
521
|
|
|
pandas.DataFrame |
|
522
|
|
|
Power plants including voltage_level |
|
523
|
|
|
|
|
524
|
|
|
""" |
|
525
|
|
|
mastr_loc["Spannungsebene"] = np.nan |
|
526
|
|
|
mastr_loc["voltage_level"] = np.nan |
|
527
|
|
|
|
|
528
|
|
|
if "LokationMastrNummer" in mastr_loc.columns: |
|
529
|
|
|
location = pd.read_csv( |
|
530
|
|
|
cfg["sources"]["mastr_location"], |
|
531
|
|
|
usecols=["LokationMastrNummer", "Spannungsebene"], |
|
532
|
|
|
).set_index("LokationMastrNummer") |
|
533
|
|
|
|
|
534
|
|
|
location = location[~location.index.duplicated(keep="first")] |
|
535
|
|
|
|
|
536
|
|
|
mastr_loc.loc[ |
|
537
|
|
|
mastr_loc[ |
|
538
|
|
|
mastr_loc.LokationMastrNummer.isin(location.index) |
|
539
|
|
|
].index, |
|
540
|
|
|
"Spannungsebene", |
|
541
|
|
|
] = location.Spannungsebene[ |
|
542
|
|
|
mastr_loc[ |
|
543
|
|
|
mastr_loc.LokationMastrNummer.isin(location.index) |
|
544
|
|
|
].LokationMastrNummer |
|
545
|
|
|
].values |
|
546
|
|
|
|
|
547
|
|
|
# Transfer voltage_level as integer from Spanungsebene |
|
548
|
|
|
map_voltage_levels = pd.Series( |
|
549
|
|
|
data={ |
|
550
|
|
|
"Höchstspannung": 1, |
|
551
|
|
|
"Hoechstspannung": 1, |
|
552
|
|
|
"UmspannungZurHochspannung": 2, |
|
553
|
|
|
"Hochspannung": 3, |
|
554
|
|
|
"UmspannungZurMittelspannung": 4, |
|
555
|
|
|
"Mittelspannung": 5, |
|
556
|
|
|
"UmspannungZurNiederspannung": 6, |
|
557
|
|
|
"Niederspannung": 7, |
|
558
|
|
|
} |
|
559
|
|
|
) |
|
560
|
|
|
|
|
561
|
|
|
mastr_loc.loc[ |
|
562
|
|
|
mastr_loc[mastr_loc["Spannungsebene"].notnull()].index, |
|
563
|
|
|
"voltage_level", |
|
564
|
|
|
] = map_voltage_levels[ |
|
565
|
|
|
mastr_loc.loc[ |
|
566
|
|
|
mastr_loc[mastr_loc["Spannungsebene"].notnull()].index, |
|
567
|
|
|
"Spannungsebene", |
|
568
|
|
|
].values |
|
569
|
|
|
].values |
|
570
|
|
|
|
|
571
|
|
|
else: |
|
572
|
|
|
print( |
|
573
|
|
|
"No information about MaStR location available. " |
|
574
|
|
|
"All voltage levels are assigned using threshold values." |
|
575
|
|
|
) |
|
576
|
|
|
|
|
577
|
|
|
# If no voltage level is available from mastr, choose level according |
|
578
|
|
|
# to threshold values |
|
579
|
|
|
|
|
580
|
|
|
mastr_loc.voltage_level = assign_voltage_level_by_capacity(mastr_loc) |
|
581
|
|
|
|
|
582
|
|
|
return mastr_loc.voltage_level |
|
583
|
|
|
|
|
584
|
|
|
|
|
585
|
|
|
def assign_voltage_level_by_capacity(mastr_loc): |
|
586
|
|
|
|
|
587
|
|
|
for i, row in mastr_loc[mastr_loc.voltage_level.isnull()].iterrows(): |
|
588
|
|
|
|
|
589
|
|
|
if row.Nettonennleistung > 120: |
|
590
|
|
|
level = 1 |
|
591
|
|
|
elif row.Nettonennleistung > 20: |
|
592
|
|
|
level = 3 |
|
593
|
|
|
elif row.Nettonennleistung > 5.5: |
|
594
|
|
|
level = 4 |
|
595
|
|
|
elif row.Nettonennleistung > 0.2: |
|
596
|
|
|
level = 5 |
|
597
|
|
|
elif row.Nettonennleistung > 0.1: |
|
598
|
|
|
level = 6 |
|
599
|
|
|
else: |
|
600
|
|
|
level = 7 |
|
601
|
|
|
|
|
602
|
|
|
mastr_loc.loc[i, "voltage_level"] = level |
|
603
|
|
|
|
|
604
|
|
|
mastr_loc.voltage_level = mastr_loc.voltage_level.astype(int) |
|
605
|
|
|
|
|
606
|
|
|
return mastr_loc.voltage_level |
|
607
|
|
|
|
|
608
|
|
|
|
|
609
|
|
|
def assign_bus_id(power_plants, cfg): |
|
610
|
|
|
"""Assigns bus_ids to power plants according to location and voltage level |
|
611
|
|
|
|
|
612
|
|
|
Parameters |
|
613
|
|
|
---------- |
|
614
|
|
|
power_plants : pandas.DataFrame |
|
615
|
|
|
Power plants including voltage level |
|
616
|
|
|
|
|
617
|
|
|
Returns |
|
618
|
|
|
------- |
|
619
|
|
|
power_plants : pandas.DataFrame |
|
620
|
|
|
Power plants including voltage level and bus_id |
|
621
|
|
|
|
|
622
|
|
|
""" |
|
623
|
|
|
|
|
624
|
|
|
mv_grid_districts = db.select_geodataframe( |
|
625
|
|
|
f""" |
|
626
|
|
|
SELECT * FROM {cfg['sources']['egon_mv_grid_district']} |
|
627
|
|
|
""", |
|
628
|
|
|
epsg=4326, |
|
629
|
|
|
) |
|
630
|
|
|
|
|
631
|
|
|
ehv_grid_districts = db.select_geodataframe( |
|
632
|
|
|
f""" |
|
633
|
|
|
SELECT * FROM {cfg['sources']['ehv_voronoi']} |
|
634
|
|
|
""", |
|
635
|
|
|
epsg=4326, |
|
636
|
|
|
) |
|
637
|
|
|
|
|
638
|
|
|
# Assign power plants in hv and below to hvmv bus |
|
639
|
|
|
power_plants_hv = power_plants[power_plants.voltage_level >= 3].index |
|
640
|
|
|
if len(power_plants_hv) > 0: |
|
641
|
|
|
power_plants.loc[power_plants_hv, "bus_id"] = gpd.sjoin( |
|
642
|
|
|
power_plants[power_plants.index.isin(power_plants_hv)], |
|
643
|
|
|
mv_grid_districts, |
|
644
|
|
|
).bus_id |
|
645
|
|
|
|
|
646
|
|
|
# Assign power plants in ehv to ehv bus |
|
647
|
|
|
power_plants_ehv = power_plants[power_plants.voltage_level < 3].index |
|
648
|
|
|
|
|
649
|
|
|
if len(power_plants_ehv) > 0: |
|
650
|
|
|
ehv_join = gpd.sjoin( |
|
651
|
|
|
power_plants[power_plants.index.isin(power_plants_ehv)], |
|
652
|
|
|
ehv_grid_districts, |
|
653
|
|
|
) |
|
654
|
|
|
|
|
655
|
|
|
if "bus_id_right" in ehv_join.columns: |
|
656
|
|
|
power_plants.loc[power_plants_ehv, "bus_id"] = gpd.sjoin( |
|
657
|
|
|
power_plants[power_plants.index.isin(power_plants_ehv)], |
|
658
|
|
|
ehv_grid_districts, |
|
659
|
|
|
).bus_id_right |
|
660
|
|
|
|
|
661
|
|
|
else: |
|
662
|
|
|
power_plants.loc[power_plants_ehv, "bus_id"] = gpd.sjoin( |
|
663
|
|
|
power_plants[power_plants.index.isin(power_plants_ehv)], |
|
664
|
|
|
ehv_grid_districts, |
|
665
|
|
|
).bus_id |
|
666
|
|
|
|
|
667
|
|
|
# Assert that all power plants have a bus_id |
|
668
|
|
|
assert power_plants.bus_id.notnull().all(), f"""Some power plants are |
|
669
|
|
|
not attached to a bus: {power_plants[power_plants.bus_id.isnull()]}""" |
|
670
|
|
|
|
|
671
|
|
|
return power_plants |
|
672
|
|
|
|
|
673
|
|
|
|
|
674
|
|
|
def insert_hydro_biomass(): |
|
675
|
|
|
"""Insert hydro and biomass power plants in database |
|
676
|
|
|
|
|
677
|
|
|
Returns |
|
678
|
|
|
------- |
|
679
|
|
|
None. |
|
680
|
|
|
|
|
681
|
|
|
""" |
|
682
|
|
|
cfg = egon.data.config.datasets()["power_plants"] |
|
683
|
|
|
db.execute_sql( |
|
684
|
|
|
f""" |
|
685
|
|
|
DELETE FROM {cfg['target']['schema']}.{cfg['target']['table']} |
|
686
|
|
|
WHERE carrier IN ('biomass', 'reservoir', 'run_of_river') |
|
687
|
|
|
""" |
|
688
|
|
|
) |
|
689
|
|
|
|
|
690
|
|
|
for scenario in ["eGon2035"]: |
|
691
|
|
|
insert_biomass_plants(scenario) |
|
692
|
|
|
insert_hydro_plants(scenario) |
|
693
|
|
|
|
|
694
|
|
|
|
|
695
|
|
|
def allocate_conventional_non_chp_power_plants(): |
|
696
|
|
|
|
|
697
|
|
|
carrier = ["oil", "gas"] |
|
698
|
|
|
|
|
699
|
|
|
cfg = egon.data.config.datasets()["power_plants"] |
|
700
|
|
|
|
|
701
|
|
|
# Delete existing plants in the target table |
|
702
|
|
|
db.execute_sql( |
|
703
|
|
|
f""" |
|
704
|
|
|
DELETE FROM {cfg ['target']['schema']}.{cfg ['target']['table']} |
|
705
|
|
|
WHERE carrier IN ('gas', 'oil') |
|
706
|
|
|
AND scenario='eGon2035'; |
|
707
|
|
|
""" |
|
708
|
|
|
) |
|
709
|
|
|
|
|
710
|
|
|
for carrier in carrier: |
|
711
|
|
|
|
|
712
|
|
|
nep = select_nep_power_plants(carrier) |
|
713
|
|
|
|
|
714
|
|
|
if nep.empty: |
|
715
|
|
|
print(f"DataFrame from NEP for carrier {carrier} is empty!") |
|
716
|
|
|
|
|
717
|
|
|
else: |
|
718
|
|
|
|
|
719
|
|
|
mastr = select_no_chp_combustion_mastr(carrier) |
|
720
|
|
|
|
|
721
|
|
|
# Assign voltage level to MaStR |
|
722
|
|
|
mastr["voltage_level"] = assign_voltage_level( |
|
723
|
|
|
mastr.rename({"el_capacity": "Nettonennleistung"}, axis=1), cfg |
|
724
|
|
|
) |
|
725
|
|
|
|
|
726
|
|
|
# Initalize DataFrame for matching power plants |
|
727
|
|
|
matched = gpd.GeoDataFrame( |
|
728
|
|
|
columns=[ |
|
729
|
|
|
"carrier", |
|
730
|
|
|
"el_capacity", |
|
731
|
|
|
"scenario", |
|
732
|
|
|
"geometry", |
|
733
|
|
|
"MaStRNummer", |
|
734
|
|
|
"source", |
|
735
|
|
|
"voltage_level", |
|
736
|
|
|
] |
|
737
|
|
|
) |
|
738
|
|
|
|
|
739
|
|
|
# Match combustion plants of a certain carrier from NEP list |
|
740
|
|
|
# using PLZ and capacity |
|
741
|
|
|
matched, mastr, nep = match_nep_no_chp( |
|
742
|
|
|
nep, |
|
743
|
|
|
mastr, |
|
744
|
|
|
matched, |
|
745
|
|
|
buffer_capacity=0.1, |
|
746
|
|
|
consider_carrier=False, |
|
747
|
|
|
) |
|
748
|
|
|
|
|
749
|
|
|
# Match plants from NEP list using city and capacity |
|
750
|
|
|
matched, mastr, nep = match_nep_no_chp( |
|
751
|
|
|
nep, |
|
752
|
|
|
mastr, |
|
753
|
|
|
matched, |
|
754
|
|
|
buffer_capacity=0.1, |
|
755
|
|
|
consider_carrier=False, |
|
756
|
|
|
consider_location="city", |
|
757
|
|
|
) |
|
758
|
|
|
|
|
759
|
|
|
# Match plants from NEP list using plz, |
|
760
|
|
|
# neglecting the capacity |
|
761
|
|
|
matched, mastr, nep = match_nep_no_chp( |
|
762
|
|
|
nep, |
|
763
|
|
|
mastr, |
|
764
|
|
|
matched, |
|
765
|
|
|
consider_location="plz", |
|
766
|
|
|
consider_carrier=False, |
|
767
|
|
|
consider_capacity=False, |
|
768
|
|
|
) |
|
769
|
|
|
|
|
770
|
|
|
# Match plants from NEP list using city, |
|
771
|
|
|
# neglecting the capacity |
|
772
|
|
|
matched, mastr, nep = match_nep_no_chp( |
|
773
|
|
|
nep, |
|
774
|
|
|
mastr, |
|
775
|
|
|
matched, |
|
776
|
|
|
consider_location="city", |
|
777
|
|
|
consider_carrier=False, |
|
778
|
|
|
consider_capacity=False, |
|
779
|
|
|
) |
|
780
|
|
|
|
|
781
|
|
|
# Match remaining plants from NEP using the federal state |
|
782
|
|
|
matched, mastr, nep = match_nep_no_chp( |
|
783
|
|
|
nep, |
|
784
|
|
|
mastr, |
|
785
|
|
|
matched, |
|
786
|
|
|
buffer_capacity=0.1, |
|
787
|
|
|
consider_location="federal_state", |
|
788
|
|
|
consider_carrier=False, |
|
789
|
|
|
) |
|
790
|
|
|
|
|
791
|
|
|
# Match remaining plants from NEP using the federal state |
|
792
|
|
|
matched, mastr, nep = match_nep_no_chp( |
|
793
|
|
|
nep, |
|
794
|
|
|
mastr, |
|
795
|
|
|
matched, |
|
796
|
|
|
buffer_capacity=0.7, |
|
797
|
|
|
consider_location="federal_state", |
|
798
|
|
|
consider_carrier=False, |
|
799
|
|
|
) |
|
800
|
|
|
|
|
801
|
|
|
print(f"{matched.el_capacity.sum()} MW of {carrier} matched") |
|
802
|
|
|
print(f"{nep.c2035_capacity.sum()} MW of {carrier} not matched") |
|
803
|
|
|
|
|
804
|
|
|
matched.crs = "EPSG:4326" |
|
805
|
|
|
|
|
806
|
|
|
# Assign bus_id |
|
807
|
|
|
# Load grid district polygons |
|
808
|
|
|
mv_grid_districts = db.select_geodataframe( |
|
809
|
|
|
f""" |
|
810
|
|
|
SELECT * FROM {cfg['sources']['egon_mv_grid_district']} |
|
811
|
|
|
""", |
|
812
|
|
|
epsg=4326, |
|
813
|
|
|
) |
|
814
|
|
|
|
|
815
|
|
|
ehv_grid_districts = db.select_geodataframe( |
|
816
|
|
|
f""" |
|
817
|
|
|
SELECT * FROM {cfg['sources']['ehv_voronoi']} |
|
818
|
|
|
""", |
|
819
|
|
|
epsg=4326, |
|
820
|
|
|
) |
|
821
|
|
|
|
|
822
|
|
|
# Perform spatial joins for plants in ehv and hv level seperately |
|
823
|
|
|
power_plants_hv = gpd.sjoin( |
|
824
|
|
|
matched[matched.voltage_level >= 3], |
|
825
|
|
|
mv_grid_districts[["bus_id", "geom"]], |
|
826
|
|
|
how="left", |
|
827
|
|
|
).drop(columns=["index_right"]) |
|
828
|
|
|
power_plants_ehv = gpd.sjoin( |
|
829
|
|
|
matched[matched.voltage_level < 3], |
|
830
|
|
|
ehv_grid_districts[["bus_id", "geom"]], |
|
831
|
|
|
how="left", |
|
832
|
|
|
).drop(columns=["index_right"]) |
|
833
|
|
|
|
|
834
|
|
|
# Combine both dataframes |
|
835
|
|
|
power_plants = pd.concat([power_plants_hv, power_plants_ehv]) |
|
836
|
|
|
|
|
837
|
|
|
# Insert into target table |
|
838
|
|
|
session = sessionmaker(bind=db.engine())() |
|
839
|
|
|
for i, row in power_plants.iterrows(): |
|
840
|
|
|
entry = EgonPowerPlants( |
|
841
|
|
|
sources={"el_capacity": row.source}, |
|
842
|
|
|
source_id={"MastrNummer": row.MaStRNummer}, |
|
843
|
|
|
carrier=row.carrier, |
|
844
|
|
|
el_capacity=row.el_capacity, |
|
845
|
|
|
voltage_level=row.voltage_level, |
|
846
|
|
|
bus_id=row.bus_id, |
|
847
|
|
|
scenario=row.scenario, |
|
848
|
|
|
geom=f"SRID=4326;POINT({row.geometry.x} {row.geometry.y})", |
|
849
|
|
|
) |
|
850
|
|
|
session.add(entry) |
|
851
|
|
|
session.commit() |
|
852
|
|
|
|
|
853
|
|
|
|
|
854
|
|
|
def allocate_other_power_plants(): |
|
855
|
|
|
|
|
856
|
|
|
# Get configuration |
|
857
|
|
|
cfg = egon.data.config.datasets()["power_plants"] |
|
858
|
|
|
boundary = egon.data.config.settings()["egon-data"]["--dataset-boundary"] |
|
859
|
|
|
|
|
860
|
|
|
db.execute_sql( |
|
861
|
|
|
f""" |
|
862
|
|
|
DELETE FROM {cfg['target']['schema']}.{cfg['target']['table']} |
|
863
|
|
|
WHERE carrier ='others' |
|
864
|
|
|
""" |
|
865
|
|
|
) |
|
866
|
|
|
|
|
867
|
|
|
# Define scenario, carrier 'others' is only present in 'eGon2035' |
|
868
|
|
|
scenario = "eGon2035" |
|
869
|
|
|
|
|
870
|
|
|
# Select target values for carrier 'others' |
|
871
|
|
|
target = db.select_dataframe( |
|
872
|
|
|
f""" |
|
873
|
|
|
SELECT sum(capacity) as capacity, carrier, scenario_name, nuts |
|
874
|
|
|
FROM {cfg['sources']['capacities']} |
|
875
|
|
|
WHERE scenario_name = '{scenario}' |
|
876
|
|
|
AND carrier = 'others' |
|
877
|
|
|
GROUP BY carrier, nuts, scenario_name; |
|
878
|
|
|
""" |
|
879
|
|
|
) |
|
880
|
|
|
|
|
881
|
|
|
# Assign name of federal state |
|
882
|
|
|
|
|
883
|
|
|
map_states = { |
|
884
|
|
|
"DE1": "BadenWuerttemberg", |
|
885
|
|
|
"DEA": "NordrheinWestfalen", |
|
886
|
|
|
"DE7": "Hessen", |
|
887
|
|
|
"DE4": "Brandenburg", |
|
888
|
|
|
"DE5": "Bremen", |
|
889
|
|
|
"DEB": "RheinlandPfalz", |
|
890
|
|
|
"DEE": "SachsenAnhalt", |
|
891
|
|
|
"DEF": "SchleswigHolstein", |
|
892
|
|
|
"DE8": "MecklenburgVorpommern", |
|
893
|
|
|
"DEG": "Thueringen", |
|
894
|
|
|
"DE9": "Niedersachsen", |
|
895
|
|
|
"DED": "Sachsen", |
|
896
|
|
|
"DE6": "Hamburg", |
|
897
|
|
|
"DEC": "Saarland", |
|
898
|
|
|
"DE3": "Berlin", |
|
899
|
|
|
"DE2": "Bayern", |
|
900
|
|
|
} |
|
901
|
|
|
|
|
902
|
|
|
target = ( |
|
903
|
|
|
target.replace({"nuts": map_states}) |
|
904
|
|
|
.rename(columns={"nuts": "Bundesland"}) |
|
905
|
|
|
.set_index("Bundesland") |
|
906
|
|
|
) |
|
907
|
|
|
target = target.capacity |
|
908
|
|
|
|
|
909
|
|
|
# Select 'non chp' power plants from mastr table |
|
910
|
|
|
mastr_combustion = select_no_chp_combustion_mastr("others") |
|
911
|
|
|
|
|
912
|
|
|
# Rename columns |
|
913
|
|
|
mastr_combustion = mastr_combustion.rename( |
|
914
|
|
|
columns={ |
|
915
|
|
|
"carrier": "Energietraeger", |
|
916
|
|
|
"plz": "Postleitzahl", |
|
917
|
|
|
"city": "Ort", |
|
918
|
|
|
"federal_state": "Bundesland", |
|
919
|
|
|
"el_capacity": "Nettonennleistung", |
|
920
|
|
|
} |
|
921
|
|
|
) |
|
922
|
|
|
|
|
923
|
|
|
# Select power plants representing carrier 'others' from MaStR files |
|
924
|
|
|
mastr_sludge = pd.read_csv(cfg["sources"]["mastr_gsgk"]).query( |
|
925
|
|
|
"""EinheitBetriebsstatus=='InBetrieb'and Energietraeger=='Klaerschlamm'""" # noqa: E501 |
|
926
|
|
|
) |
|
927
|
|
|
mastr_geothermal = pd.read_csv(cfg["sources"]["mastr_gsgk"]).query( |
|
928
|
|
|
"EinheitBetriebsstatus=='InBetrieb' and Energietraeger=='Geothermie' " |
|
929
|
|
|
"and Technologie == 'ORCOrganicRankineCycleAnlage'" |
|
930
|
|
|
) |
|
931
|
|
|
|
|
932
|
|
|
mastr_sg = mastr_sludge.append(mastr_geothermal) |
|
933
|
|
|
|
|
934
|
|
|
# Insert geometry column |
|
935
|
|
|
mastr_sg = mastr_sg[~(mastr_sg["Laengengrad"].isnull())] |
|
936
|
|
|
mastr_sg = gpd.GeoDataFrame( |
|
937
|
|
|
mastr_sg, |
|
938
|
|
|
geometry=gpd.points_from_xy( |
|
939
|
|
|
mastr_sg["Laengengrad"], mastr_sg["Breitengrad"], crs=4326 |
|
940
|
|
|
), |
|
941
|
|
|
) |
|
942
|
|
|
|
|
943
|
|
|
# Exclude columns which are not essential |
|
944
|
|
|
mastr_sg = mastr_sg.filter( |
|
945
|
|
|
[ |
|
946
|
|
|
"EinheitMastrNummer", |
|
947
|
|
|
"Nettonennleistung", |
|
948
|
|
|
"geometry", |
|
949
|
|
|
"Energietraeger", |
|
950
|
|
|
"Postleitzahl", |
|
951
|
|
|
"Ort", |
|
952
|
|
|
"Bundesland", |
|
953
|
|
|
], |
|
954
|
|
|
axis=1, |
|
955
|
|
|
) |
|
956
|
|
|
# Rename carrier |
|
957
|
|
|
mastr_sg.Energietraeger = "others" |
|
958
|
|
|
|
|
959
|
|
|
# Change data type |
|
960
|
|
|
mastr_sg["Postleitzahl"] = mastr_sg["Postleitzahl"].astype(int) |
|
961
|
|
|
|
|
962
|
|
|
# Capacity in MW |
|
963
|
|
|
mastr_sg.loc[:, "Nettonennleistung"] *= 1e-3 |
|
964
|
|
|
|
|
965
|
|
|
# Merge different sources to one df |
|
966
|
|
|
mastr_others = mastr_sg.append(mastr_combustion).reset_index() |
|
967
|
|
|
|
|
968
|
|
|
# Delete entries outside Schleswig-Holstein for test mode |
|
969
|
|
|
if boundary == "Schleswig-Holstein": |
|
970
|
|
|
mastr_others = mastr_others[ |
|
971
|
|
|
mastr_others["Bundesland"] == "SchleswigHolstein" |
|
972
|
|
|
] |
|
973
|
|
|
|
|
974
|
|
|
# Scale capacities prox to now to meet target values |
|
975
|
|
|
mastr_prox = scale_prox2now(mastr_others, target, level="federal_state") |
|
976
|
|
|
|
|
977
|
|
|
# Assign voltage_level based on scaled capacity |
|
978
|
|
|
mastr_prox["voltage_level"] = np.nan |
|
979
|
|
|
mastr_prox["voltage_level"] = assign_voltage_level_by_capacity(mastr_prox) |
|
980
|
|
|
|
|
981
|
|
|
# Rename columns |
|
982
|
|
|
mastr_prox = mastr_prox.rename( |
|
983
|
|
|
columns={ |
|
984
|
|
|
"Energietraeger": "carrier", |
|
985
|
|
|
"Postleitzahl": "plz", |
|
986
|
|
|
"Ort": "city", |
|
987
|
|
|
"Bundesland": "federal_state", |
|
988
|
|
|
"Nettonennleistung": "el_capacity", |
|
989
|
|
|
} |
|
990
|
|
|
) |
|
991
|
|
|
|
|
992
|
|
|
# Assign bus_id |
|
993
|
|
|
mastr_prox = assign_bus_id(mastr_prox, cfg) |
|
994
|
|
|
mastr_prox = mastr_prox.set_crs(4326, allow_override=True) |
|
995
|
|
|
|
|
996
|
|
|
# Insert into target table |
|
997
|
|
|
session = sessionmaker(bind=db.engine())() |
|
998
|
|
|
for i, row in mastr_prox.iterrows(): |
|
999
|
|
|
entry = EgonPowerPlants( |
|
1000
|
|
|
sources=row.el_capacity, |
|
1001
|
|
|
source_id={"MastrNummer": row.EinheitMastrNummer}, |
|
1002
|
|
|
carrier=row.carrier, |
|
1003
|
|
|
el_capacity=row.el_capacity, |
|
1004
|
|
|
voltage_level=row.voltage_level, |
|
1005
|
|
|
bus_id=row.bus_id, |
|
1006
|
|
|
scenario=scenario, |
|
1007
|
|
|
geom=f"SRID=4326; {row.geometry}", |
|
1008
|
|
|
) |
|
1009
|
|
|
session.add(entry) |
|
1010
|
|
|
session.commit() |
|
1011
|
|
|
|
openego /
eGon-data
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