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Pull Request — dev (#1008)

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created 2022-11-11 08:25 UTC

allocate_pumped_hydro_eGon2035() B

↳ Parent: data.datasets.storages

Complexity

Conditions

Size

Total Lines	178
Code Lines	96

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	96
dl	0
loc	178
rs	7.1309
c	0
b	0
f	0
cc	4
nop	1

How to fix Long Method

"""The central module containing all code dealing with power plant data.
"""
from pathlib import Path

from geoalchemy2 import Geometry
from sqlalchemy import BigInteger, Column, Float, Integer, Sequence, String
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import geopandas as gpd
import pandas as pd

from egon.data import config, db
from egon.data.datasets import Dataset
from egon.data.datasets.power_plants import assign_voltage_level
from egon.data.datasets.storages.home_batteries import (
    allocate_home_batteries_to_buildings,
)
from egon.data.datasets.storages.pumped_hydro import (
    apply_voltage_level_thresholds,
    get_location,
    match_storage_units,
    select_mastr_pumped_hydro,
    select_nep_pumped_hydro,
)

Base = declarative_base()


class EgonStorages(Base):

    __tablename__ = "egon_storages"
    __table_args__ = {"schema": "supply"}
    id = Column(BigInteger, Sequence("storage_seq"), primary_key=True)
    sources = Column(JSONB)
    source_id = Column(JSONB)
    carrier = Column(String)
    el_capacity = Column(Float)
    bus_id = Column(Integer)
    voltage_level = Column(Integer)
    scenario = Column(String)
    geom = Column(Geometry("POINT", 4326))


class Storages(Dataset):
    def __init__(self, dependencies):
        super().__init__(
            name="Storages",
            version="0.0.4",
            dependencies=dependencies,
            tasks=(
                create_tables,
                allocate_pumped_hydro_eGon2035,
                allocate_pumped_hydro_eGon100RE,
                allocate_pv_home_batteries_to_grids,
                allocate_home_batteries_to_buildings,
            ),
        )


def create_tables():
    """Create tables for power plant data
    Returns
    -------
    None.
    """

    cfg = config.datasets()["storages"]
    db.execute_sql(f"CREATE SCHEMA IF NOT EXISTS {cfg['target']['schema']};")
    engine = db.engine()
    db.execute_sql(
        f"""DROP TABLE IF EXISTS
        {cfg['target']['schema']}.{cfg['target']['table']}"""
    )

    db.execute_sql("""DROP SEQUENCE IF EXISTS pp_seq""")
    EgonStorages.__table__.create(bind=engine, checkfirst=True)


def allocate_pumped_hydro_eGon2035(export=True):
    """Allocates pumped_hydro plants for eGon2035 scenario and either exports
    results to data base or returns as a dataframe

    Parameters
    ----------
    export : bool
        Choose if allocated pumped hydro plants should be exported to the data
        base. The default is True.
        If export=False a data frame will be returned

    Returns
    -------
    power_plants : pandas.DataFrame
        List of pumped hydro plants in 'eGon2035' scenario
    """

    carrier = "pumped_hydro"

    cfg = config.datasets()["power_plants"]

    nep = select_nep_pumped_hydro()
    mastr = select_mastr_pumped_hydro()

    # Assign voltage level to MaStR
    mastr["voltage_level"] = assign_voltage_level(
        mastr.rename({"el_capacity": "Nettonennleistung"}, axis=1), cfg
    )

    # Initalize DataFrame for matching power plants
    matched = gpd.GeoDataFrame(
        columns=[
            "carrier",
            "el_capacity",
            "scenario",
            "geometry",
            "MaStRNummer",
            "source",
            "voltage_level",
        ]
    )

    # Match pumped_hydro units from NEP list
    # using PLZ and capacity
    matched, mastr, nep = match_storage_units(
        nep, mastr, matched, buffer_capacity=0.1, consider_carrier=False
    )

    # Match plants from NEP list using plz,
    # neglecting the capacity
    matched, mastr, nep = match_storage_units(
        nep,
        mastr,
        matched,
        consider_location="plz",
        consider_carrier=False,
        consider_capacity=False,
    )

    # Match plants from NEP list using city,
    # neglecting the capacity
    matched, mastr, nep = match_storage_units(
        nep,
        mastr,
        matched,
        consider_location="city",
        consider_carrier=False,
        consider_capacity=False,
    )

    # Match remaining plants from NEP using the federal state
    matched, mastr, nep = match_storage_units(
        nep,
        mastr,
        matched,
        buffer_capacity=0.1,
        consider_location="federal_state",
        consider_carrier=False,
    )

    # Match remaining plants from NEP using the federal state
    matched, mastr, nep = match_storage_units(
        nep,
        mastr,
        matched,
        buffer_capacity=0.7,
        consider_location="federal_state",
        consider_carrier=False,
    )

    print(f"{matched.el_capacity.sum()} MW of {carrier} matched")
    print(f"{nep.c2035_capacity.sum()} MW of {carrier} not matched")

    if nep.c2035_capacity.sum() > 0:

        # Get location using geolocator and city information
        located, unmatched = get_location(nep)

        # Bring both dataframes together
        matched = matched.append(
            located[
                [
                    "carrier",
                    "el_capacity",
                    "scenario",
                    "geometry",
                    "source",
                    "MaStRNummer",
                ]
            ],
            ignore_index=True,
        )

    # Set CRS
    matched.crs = "EPSG:4326"

    # Assign voltage level
    matched = apply_voltage_level_thresholds(matched)

    # Assign bus_id
    # Load grid district polygons
    mv_grid_districts = db.select_geodataframe(
        f"""
    SELECT * FROM {cfg['sources']['egon_mv_grid_district']}
    """,
        epsg=4326,
    )

    ehv_grid_districts = db.select_geodataframe(
        f"""
    SELECT * FROM {cfg['sources']['ehv_voronoi']}
    """,
        epsg=4326,
    )

    # Perform spatial joins for plants in ehv and hv level seperately
    power_plants_hv = gpd.sjoin(
        matched[matched.voltage_level >= 3],
        mv_grid_districts[["bus_id", "geom"]],
        how="left",
    ).drop(columns=["index_right"])
    power_plants_ehv = gpd.sjoin(
        matched[matched.voltage_level < 3],
        ehv_grid_districts[["bus_id", "geom"]],
        how="left",
    ).drop(columns=["index_right"])

    # Combine both dataframes
    power_plants = pd.concat([power_plants_hv, power_plants_ehv])

    # Delete existing units in the target table
    db.execute_sql(
        f""" DELETE FROM {cfg ['target']['schema']}.{cfg ['target']['table']}
        WHERE carrier IN ('pumped_hydro')
        AND scenario='eGon2035';"""
    )

    # If export = True export pumped_hydro plants to data base

    if export:
        # Insert into target table
        session = sessionmaker(bind=db.engine())()
        for i, row in power_plants.iterrows():
            entry = EgonStorages(
                sources={"el_capacity": row.source},
                source_id={"MastrNummer": row.MaStRNummer},
                carrier=row.carrier,
                el_capacity=row.el_capacity,
                voltage_level=row.voltage_level,
                bus_id=row.bus_id,
                scenario=row.scenario,
                geom=f"SRID=4326;POINT({row.geometry.x} {row.geometry.y})",
            )
            session.add(entry)
        session.commit()

    else:
        return power_plants


def allocate_pumped_hydro_eGon100RE():
    """Allocates pumped_hydro plants for eGon100RE scenario based on a
    prox-to-now method applied on allocated pumped-hydro plants in the eGon2035
    scenario.

    Parameters
    ----------
    None

    Returns
    -------
    None
    """

    carrier = "pumped_hydro"
    cfg = config.datasets()["power_plants"]
    boundary = config.settings()["egon-data"]["--dataset-boundary"]

    # Select installed capacity for pumped_hydro in eGon100RE scenario from
    # scenario capacities table
    capacity = db.select_dataframe(
        f"""
        SELECT capacity
        FROM {cfg['sources']['capacities']}
        WHERE carrier = '{carrier}'
        AND scenario_name = 'eGon100RE';
        """
    )

    if boundary == "Schleswig-Holstein":
        # Break capacity of pumped hydron plants down SH share in eGon2035
        capacity_phes = capacity.iat[0, 0] * 0.0176

    elif boundary == "Everything":
        # Select national capacity for pumped hydro
        capacity_phes = capacity.iat[0, 0]

    else:
        raise ValueError(f"'{boundary}' is not a valid dataset boundary.")

    # Get allocation of pumped_hydro plants in eGon2035 scenario as the
    # reference for the distribution in eGon100RE scenario
    allocation = allocate_pumped_hydro_eGon2035(export=False)

    scaling_factor = capacity_phes / allocation.el_capacity.sum()

    power_plants = allocation.copy()
    power_plants["scenario"] = "eGon100RE"
    power_plants["el_capacity"] = allocation.el_capacity * scaling_factor

    # Insert into target table
    session = sessionmaker(bind=db.engine())()
    for i, row in power_plants.iterrows():
        entry = EgonStorages(
            sources={"el_capacity": row.source},
            source_id={"MastrNummer": row.MaStRNummer},
            carrier=row.carrier,
            el_capacity=row.el_capacity,
            voltage_level=row.voltage_level,
            bus_id=row.bus_id,
            scenario=row.scenario,
            geom=f"SRID=4326;POINT({row.geometry.x} {row.geometry.y})",
        )
        session.add(entry)
    session.commit()


def home_batteries_per_scenario(scenario):
    """Allocates home batteries which define a lower boundary for extendable
    battery storage units. The overall installed capacity is taken from NEP
    for eGon2035 scenario. The spatial distribution of installed battery
    capacities is based on the installed pv rooftop capacity.

    Parameters
    ----------
    None

    Returns
    -------
    None
    """

    cfg = config.datasets()["storages"]
    dataset = config.settings()["egon-data"]["--dataset-boundary"]

    if scenario == "eGon2035":

        target_file = (
            Path(".")
            / "data_bundle_egon_data"
            / "nep2035_version2021"
            / cfg["sources"]["nep_capacities"]
        )

        capacities_nep = pd.read_excel(
            target_file,
            sheet_name="1.Entwurf_NEP2035_V2021",
            index_col="Unnamed: 0",
        )
        
    # Select target value in MW
        target = capacities_nep.Summe["PV-Batteriespeicher"]*1000

    else:
        target = db.select_dataframe(
            f"""
            SELECT capacity
            FROM {cfg['sources']['capacities']}
            WHERE scenario_name = '{scenario}'
            AND carrier = 'battery';
            """
        ).capacity[0]

    pv_rooftop = db.select_dataframe(
        f"""
        SELECT bus, p_nom, generator_id
        FROM {cfg['sources']['generators']}
        WHERE scn_name = '{scenario}'
        AND carrier = 'solar_rooftop'
        AND bus IN
            (SELECT bus_id FROM {cfg['sources']['bus']}
               WHERE scn_name = '{scenario}' AND country = 'DE' );
        """
    )

    if dataset == "Schleswig-Holstein":
        target = target / 16

    battery = pv_rooftop
    battery["p_nom_min"] = target * battery["p_nom"] / battery["p_nom"].sum()
    battery = battery.drop(columns=["p_nom"])

    battery["carrier"] = "home_battery"
    battery["scenario"] = scenario

    if scenario == "eGon2035":
        source = "NEP"

    else:
        source = "p-e-s"

    battery[
        "source"
    ] = f"{source} capacity allocated based in installed PV rooftop capacity"

    # Insert into target table
    session = sessionmaker(bind=db.engine())()
    for i, row in battery.iterrows():
        entry = EgonStorages(
            sources={"el_capacity": row.source},
            source_id={"generator_id": row.generator_id},
            carrier=row.carrier,
            el_capacity=row.p_nom_min,
            bus_id=row.bus,
            scenario=row.scenario,
        )
        session.add(entry)
    session.commit()


def allocate_pv_home_batteries_to_grids():

    home_batteries_per_scenario("eGon2035")
    home_batteries_per_scenario("eGon100RE")


1		"""The central module containing all code dealing with power plant data.
2		"""
3		from pathlib import Path
4
5		from geoalchemy2 import Geometry
6		from sqlalchemy import BigInteger, Column, Float, Integer, Sequence, String
7		from sqlalchemy.dialects.postgresql import JSONB
8		from sqlalchemy.ext.declarative import declarative_base
9		from sqlalchemy.orm import sessionmaker
10		import geopandas as gpd
11		import pandas as pd
12
13		from egon.data import config, db
14		from egon.data.datasets import Dataset
15		from egon.data.datasets.power_plants import assign_voltage_level
16		from egon.data.datasets.storages.home_batteries import (
17		allocate_home_batteries_to_buildings,
18		)
19		from egon.data.datasets.storages.pumped_hydro import (
20		apply_voltage_level_thresholds,
21		get_location,
22		match_storage_units,
23		select_mastr_pumped_hydro,
24		select_nep_pumped_hydro,
25		)
26
27		Base = declarative_base()
28
29
30	View Code Duplication	class EgonStorages(Base):
		0 ignored issues – show Duplication introduced 2021-11-25 08:07 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
31		__tablename__ = "egon_storages"
32		__table_args__ = {"schema": "supply"}
33		id = Column(BigInteger, Sequence("storage_seq"), primary_key=True)
34		sources = Column(JSONB)
35		source_id = Column(JSONB)
36		carrier = Column(String)
37		el_capacity = Column(Float)
38		bus_id = Column(Integer)
39		voltage_level = Column(Integer)
40		scenario = Column(String)
41		geom = Column(Geometry("POINT", 4326))
42
43
44		class Storages(Dataset):
45		def __init__(self, dependencies):
46		super().__init__(
47		name="Storages",
48		version="0.0.4",
49		dependencies=dependencies,
50		tasks=(
51		create_tables,
52		allocate_pumped_hydro_eGon2035,
53		allocate_pumped_hydro_eGon100RE,
54		allocate_pv_home_batteries_to_grids,
55		allocate_home_batteries_to_buildings,
56		),
57		)
58
59
60		def create_tables():
61		"""Create tables for power plant data
62		Returns
63		-------
64		None.
65		"""
66
67		cfg = config.datasets()["storages"]
68		db.execute_sql(f"CREATE SCHEMA IF NOT EXISTS {cfg['target']['schema']};")
69		engine = db.engine()
70		db.execute_sql(
71		f"""DROP TABLE IF EXISTS
72		{cfg['target']['schema']}.{cfg['target']['table']}"""
73		)
74
75		db.execute_sql("""DROP SEQUENCE IF EXISTS pp_seq""")
76		EgonStorages.__table__.create(bind=engine, checkfirst=True)
77
78
79		def allocate_pumped_hydro_eGon2035(export=True):
80		"""Allocates pumped_hydro plants for eGon2035 scenario and either exports
81		results to data base or returns as a dataframe
82
83		Parameters
84		----------
85		export : bool
86		Choose if allocated pumped hydro plants should be exported to the data
87		base. The default is True.
88		If export=False a data frame will be returned
89
90		Returns
91		-------
92		power_plants : pandas.DataFrame
93		List of pumped hydro plants in 'eGon2035' scenario
94		"""
95
96		carrier = "pumped_hydro"
97
98		cfg = config.datasets()["power_plants"]
99
100		nep = select_nep_pumped_hydro()
101		mastr = select_mastr_pumped_hydro()
102
103		# Assign voltage level to MaStR
104		mastr["voltage_level"] = assign_voltage_level(
105		mastr.rename({"el_capacity": "Nettonennleistung"}, axis=1), cfg
106		)
107
108		# Initalize DataFrame for matching power plants
109		matched = gpd.GeoDataFrame(
110		columns=[
111		"carrier",
112		"el_capacity",
113		"scenario",
114		"geometry",
115		"MaStRNummer",
116		"source",
117		"voltage_level",
118		]
119		)
120
121		# Match pumped_hydro units from NEP list
122		# using PLZ and capacity
123		matched, mastr, nep = match_storage_units(
124		nep, mastr, matched, buffer_capacity=0.1, consider_carrier=False
125		)
126
127		# Match plants from NEP list using plz,
128		# neglecting the capacity
129		matched, mastr, nep = match_storage_units(
130		nep,
131		mastr,
132		matched,
133		consider_location="plz",
134		consider_carrier=False,
135		consider_capacity=False,
136		)
137
138		# Match plants from NEP list using city,
139		# neglecting the capacity
140		matched, mastr, nep = match_storage_units(
141		nep,
142		mastr,
143		matched,
144		consider_location="city",
145		consider_carrier=False,
146		consider_capacity=False,
147		)
148
149		# Match remaining plants from NEP using the federal state
150		matched, mastr, nep = match_storage_units(
151		nep,
152		mastr,
153		matched,
154		buffer_capacity=0.1,
155		consider_location="federal_state",
156		consider_carrier=False,
157		)
158
159		# Match remaining plants from NEP using the federal state
160		matched, mastr, nep = match_storage_units(
161		nep,
162		mastr,
163		matched,
164		buffer_capacity=0.7,
165		consider_location="federal_state",
166		consider_carrier=False,
167		)
168
169		print(f"{matched.el_capacity.sum()} MW of {carrier} matched")
170		print(f"{nep.c2035_capacity.sum()} MW of {carrier} not matched")
171
172		if nep.c2035_capacity.sum() > 0:
173
174		# Get location using geolocator and city information
175		located, unmatched = get_location(nep)
176
177		# Bring both dataframes together
178		matched = matched.append(
179		located[
180		[
181		"carrier",
182		"el_capacity",
183		"scenario",
184		"geometry",
185		"source",
186		"MaStRNummer",
187		]
188		],
189		ignore_index=True,
190		)
191
192		# Set CRS
193		matched.crs = "EPSG:4326"
194
195		# Assign voltage level
196		matched = apply_voltage_level_thresholds(matched)
197
198		# Assign bus_id
199		# Load grid district polygons
200		mv_grid_districts = db.select_geodataframe(
201		f"""
202		SELECT * FROM {cfg['sources']['egon_mv_grid_district']}
203		""",
204		epsg=4326,
205		)
206
207		ehv_grid_districts = db.select_geodataframe(
208		f"""
209		SELECT * FROM {cfg['sources']['ehv_voronoi']}
210		""",
211		epsg=4326,
212		)
213
214		# Perform spatial joins for plants in ehv and hv level seperately
215		power_plants_hv = gpd.sjoin(
216		matched[matched.voltage_level >= 3],
217		mv_grid_districts[["bus_id", "geom"]],
218		how="left",
219		).drop(columns=["index_right"])
220		power_plants_ehv = gpd.sjoin(
221		matched[matched.voltage_level < 3],
222		ehv_grid_districts[["bus_id", "geom"]],
223		how="left",
224		).drop(columns=["index_right"])
225
226		# Combine both dataframes
227		power_plants = pd.concat([power_plants_hv, power_plants_ehv])
228
229		# Delete existing units in the target table
230		db.execute_sql(
231		f""" DELETE FROM {cfg ['target']['schema']}.{cfg ['target']['table']}
232		WHERE carrier IN ('pumped_hydro')
233		AND scenario='eGon2035';"""
234		)
235
236		# If export = True export pumped_hydro plants to data base
237
238		if export:
239		# Insert into target table
240		session = sessionmaker(bind=db.engine())()
241		for i, row in power_plants.iterrows():
242		entry = EgonStorages(
243		sources={"el_capacity": row.source},
244		source_id={"MastrNummer": row.MaStRNummer},
245		carrier=row.carrier,
246		el_capacity=row.el_capacity,
247		voltage_level=row.voltage_level,
248		bus_id=row.bus_id,
249		scenario=row.scenario,
250		geom=f"SRID=4326;POINT({row.geometry.x} {row.geometry.y})",
251		)
252		session.add(entry)
253		session.commit()
254
255		else:
256		return power_plants
257
258
259		def allocate_pumped_hydro_eGon100RE():
260		"""Allocates pumped_hydro plants for eGon100RE scenario based on a
261		prox-to-now method applied on allocated pumped-hydro plants in the eGon2035
262		scenario.
263
264		Parameters
265		----------
266		None
267
268		Returns
269		-------
270		None
271		"""
272
273		carrier = "pumped_hydro"
274		cfg = config.datasets()["power_plants"]
275		boundary = config.settings()["egon-data"]["--dataset-boundary"]
276
277		# Select installed capacity for pumped_hydro in eGon100RE scenario from
278		# scenario capacities table
279		capacity = db.select_dataframe(
280		f"""
281		SELECT capacity
282		FROM {cfg['sources']['capacities']}
283		WHERE carrier = '{carrier}'
284		AND scenario_name = 'eGon100RE';
285		"""
286		)
287
288		if boundary == "Schleswig-Holstein":
289		# Break capacity of pumped hydron plants down SH share in eGon2035
290		capacity_phes = capacity.iat[0, 0] * 0.0176
291
292		elif boundary == "Everything":
293		# Select national capacity for pumped hydro
294		capacity_phes = capacity.iat[0, 0]
295
296		else:
297		raise ValueError(f"'{boundary}' is not a valid dataset boundary.")
298
299		# Get allocation of pumped_hydro plants in eGon2035 scenario as the
300		# reference for the distribution in eGon100RE scenario
301		allocation = allocate_pumped_hydro_eGon2035(export=False)
302
303		scaling_factor = capacity_phes / allocation.el_capacity.sum()
304
305		power_plants = allocation.copy()
306		power_plants["scenario"] = "eGon100RE"
307		power_plants["el_capacity"] = allocation.el_capacity * scaling_factor
308
309		# Insert into target table
310		session = sessionmaker(bind=db.engine())()
311		for i, row in power_plants.iterrows():
312		entry = EgonStorages(
313		sources={"el_capacity": row.source},
314		source_id={"MastrNummer": row.MaStRNummer},
315		carrier=row.carrier,
316		el_capacity=row.el_capacity,
317		voltage_level=row.voltage_level,
318		bus_id=row.bus_id,
319		scenario=row.scenario,
320		geom=f"SRID=4326;POINT({row.geometry.x} {row.geometry.y})",
321		)
322		session.add(entry)
323		session.commit()
324
325
326		def home_batteries_per_scenario(scenario):
327		"""Allocates home batteries which define a lower boundary for extendable
328		battery storage units. The overall installed capacity is taken from NEP
329		for eGon2035 scenario. The spatial distribution of installed battery
330		capacities is based on the installed pv rooftop capacity.
331
332		Parameters
333		----------
334		None
335
336		Returns
337		-------
338		None
339		"""
340
341		cfg = config.datasets()["storages"]
342		dataset = config.settings()["egon-data"]["--dataset-boundary"]
343
344		if scenario == "eGon2035":
345
346		target_file = (
347		Path(".")
348		/ "data_bundle_egon_data"
349		/ "nep2035_version2021"
350		/ cfg["sources"]["nep_capacities"]
351		)
352
353		capacities_nep = pd.read_excel(
354		target_file,
355		sheet_name="1.Entwurf_NEP2035_V2021",
356		index_col="Unnamed: 0",
357		)
358
359		# Select target value in MW
360		target = capacities_nep.Summe["PV-Batteriespeicher"]*1000
361
362		else:
363		target = db.select_dataframe(
364		f"""
365		SELECT capacity
366		FROM {cfg['sources']['capacities']}
367		WHERE scenario_name = '{scenario}'
368		AND carrier = 'battery';
369		"""
370		).capacity[0]
371
372		pv_rooftop = db.select_dataframe(
373		f"""
374		SELECT bus, p_nom, generator_id
375		FROM {cfg['sources']['generators']}
376		WHERE scn_name = '{scenario}'
377		AND carrier = 'solar_rooftop'
378		AND bus IN
379		(SELECT bus_id FROM {cfg['sources']['bus']}
380		WHERE scn_name = '{scenario}' AND country = 'DE' );
381		"""
382		)
383
384		if dataset == "Schleswig-Holstein":
385		target = target / 16
386
387		battery = pv_rooftop
388		battery["p_nom_min"] = target * battery["p_nom"] / battery["p_nom"].sum()
389		battery = battery.drop(columns=["p_nom"])
390
391		battery["carrier"] = "home_battery"
392		battery["scenario"] = scenario
393
394		if scenario == "eGon2035":
395		source = "NEP"
396
397		else:
398		source = "p-e-s"
399
400		battery[
401		"source"
402		] = f"{source} capacity allocated based in installed PV rooftop capacity"
403
404		# Insert into target table
405		session = sessionmaker(bind=db.engine())()
406		for i, row in battery.iterrows():
407		entry = EgonStorages(
408		sources={"el_capacity": row.source},
409		source_id={"generator_id": row.generator_id},
410		carrier=row.carrier,
411		el_capacity=row.p_nom_min,
412		bus_id=row.bus,
413		scenario=row.scenario,
414		)
415		session.add(entry)
416		session.commit()
417
418
419		def allocate_pv_home_batteries_to_grids():
420
421		home_batteries_per_scenario("eGon2035")
422		home_batteries_per_scenario("eGon100RE")
423

openego / eGon-data

Pull Request — dev (#1008)

allocate_pumped_hydro_eGon2035() B

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