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Features/#308 do not scale heat demand timeseries #324

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merged 10 commits into from
Sep 25, 2024
Merged

Features/#308 do not scale heat demand timeseries #324

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03bfc72
Do not scale heat demand time series in Germany
ClaraBuettner Sep 25, 2024
a4309f1
Combine rural heat and urban decentral heat demands in drop_urban_dec…
ClaraBuettner Sep 25, 2024
2981111
Use static p_set of urban decentral heat if time series are not avail…
ClaraBuettner Sep 25, 2024
eb0bcd8
Manipulate prenetworks depending on the foresight option
ClaraBuettner Sep 25, 2024
32930dd
Do not adjust district heating shares from pypsa-eur
ClaraBuettner Sep 25, 2024
cc6aedb
Remove the year 2050 from the pathway
ClaraBuettner Sep 25, 2024
176e967
Use correct name for urban central heat bus in Germany
ClaraBuettner Sep 25, 2024
cdc2d80
Run prevoius adjustment explicitly only for overnight calculation for…
ClaraBuettner Sep 25, 2024
3c87c2a
Fix carrier name
ClaraBuettner Sep 25, 2024
aee228e
Update __init__.py
ulfmueller Sep 25, 2024
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191 changes: 124 additions & 67 deletions src/egon/data/datasets/pypsaeur/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1478,8 +1478,8 @@ def geothermal_district_heating(network):

network.add(
"Generator",
f"DE1 0 urban central geo thermal {i}",
bus="DE1 0 urban central heat",
f"DE0 0 urban central geo thermal {i}",
bus="DE0 0 urban central heat",
carrier="urban central geo thermal",
p_nom_extendable=True,
p_nom_max=row["potential [MW]"],
Expand Down Expand Up @@ -1564,10 +1564,28 @@ def drop_biomass(network):


def drop_urban_decentral_heat(network):
carrier = "urban decentral"
carrier = "urban decentral heat"

# Add urban decentral heat demand to urban central heat demand
for country in network.loads.loc[
network.loads.carrier==carrier, "bus"].str[:5]:

if f"{country} {carrier}" in network.loads_t.p_set.columns:
network.loads_t.p_set[f"{country} rural heat"] += (
network.loads_t.p_set[f"{country} {carrier}"]
)
else:
print(f"""No time series available for {country} {carrier}.
Using static p_set.""")

network.loads_t.p_set[f"{country} rural heat"] += (
network.loads.loc[f"{country} {carrier}", "p_set"]
)

# Drop componentents attached to urban decentral heat
for c in network.iterate_components():
network.mremove(c.name, c.df[c.df.index.str.contains(carrier)].index)
network.mremove(c.name, c.df[c.df.index.str.contains("urban decentral")].index)

return network


Expand Down Expand Up @@ -1659,81 +1677,120 @@ def execute():
) as stream:
data_config = yaml.safe_load(stream)

networks = pd.Series()

for i in range(0, len(data_config["scenario"]["planning_horizons"])):
nc_file = pd.Series(
f"elec_s_{data_config['scenario']['clusters'][0]}"
f"_l{data_config['scenario']['ll'][0]}"
f"_{data_config['scenario']['opts'][0]}"
f"_{data_config['scenario']['sector_opts'][0]}"
f"_{data_config['scenario']['planning_horizons'][i]}.nc"
)
networks = networks._append(nc_file)
if data_config["foresight"] == "myopic":

scn_path = pd.DataFrame(
index=["2025", "2030", "2035", "2045", "2050"],
columns=["prenetwork", "functions"],
)
print("Adjusting scenarios on the myopic pathway...")

for year in scn_path.index:
scn_path.at[year, "prenetwork"] = networks[
networks.str.contains(year)
].values
networks = pd.Series()

for year in ["2025", "2030", "2035"]:
scn_path.loc[year, "functions"] = [
for i in range(0, len(data_config["scenario"]["planning_horizons"])):
nc_file = pd.Series(
f"elec_s_{data_config['scenario']['clusters'][0]}"
f"_l{data_config['scenario']['ll'][0]}"
f"_{data_config['scenario']['opts'][0]}"
f"_{data_config['scenario']['sector_opts'][0]}"
f"_{data_config['scenario']['planning_horizons'][i]}.nc"
)
networks = networks._append(nc_file)

scn_path = pd.DataFrame(
index=["2025", "2030", "2035", "2045"],
columns=["prenetwork", "functions"],
)

for year in scn_path.index:
scn_path.at[year, "prenetwork"] = networks[
networks.str.contains(year)
].values

for year in ["2025", "2030", "2035"]:
scn_path.loc[year, "functions"] = [
drop_urban_decentral_heat,
update_electrical_timeseries_germany,
geothermal_district_heating,
h2_overground_stores,
drop_new_gas_pipelines,
]

scn_path.loc["2045", "functions"] = [
drop_biomass,
drop_urban_decentral_heat,
district_heating_shares,
update_heat_timeseries_germany,
update_electrical_timeseries_germany,
geothermal_district_heating,
h2_overground_stores,
drop_new_gas_pipelines,
drop_fossil_gas,
# rual_heat_technologies, #To be defined
]

scn_path.loc["2045", "functions"] = [
drop_biomass,
drop_urban_decentral_heat,
district_heating_shares,
update_heat_timeseries_germany,
update_electrical_timeseries_germany,
geothermal_district_heating,
h2_overground_stores,
drop_new_gas_pipelines,
drop_fossil_gas,
# rual_heat_technologies, #To be defined
]
network_path = (
Path(".")
/ "run-pypsa-eur"
/ "pypsa-eur"
/ "results"
/ data_config["run"]["name"]
/ "prenetworks"
)

scn_path.loc["2050", "functions"] = [
drop_biomass,
drop_urban_decentral_heat,
district_heating_shares,
update_heat_timeseries_germany,
update_electrical_timeseries_germany,
geothermal_district_heating,
h2_overground_stores,
drop_new_gas_pipelines,
drop_fossil_gas,
rual_heat_technologies,
]
for scn in scn_path.index:
path = network_path / scn_path.at[scn, "prenetwork"]
network = pypsa.Network(path)
network.year = int(scn)
for manipulator in scn_path.at[scn, "functions"]:
network = manipulator(network)
network.export_to_netcdf(path)

network_path = (
Path(".")
/ "run-pypsa-eur"
/ "pypsa-eur"
/ "results"
/ data_config["run"]["name"]
/ "prenetworks"
)

for scn in scn_path.index:
path = network_path / scn_path.at[scn, "prenetwork"]
network = pypsa.Network(path)
network.year = int(scn)
for manipulator in scn_path.at[scn, "functions"]:
network = manipulator(network)
network.export_to_netcdf(path)
elif ((data_config["foresight"] == "overnight")
& (int(data_config['scenario']['planning_horizons'][0]) > 2040)):

print("Adjusting overnight long-term scenario...")

network_path = (
Path(".")
/ "run-pypsa-eur"
/ "pypsa-eur"
/ "results"
/ data_config["run"]["name"]
/ "prenetworks"
/ f"elec_s_{data_config['scenario']['clusters'][0]}"
f"_l{data_config['scenario']['ll'][0]}"
f"_{data_config['scenario']['opts'][0]}"
f"_{data_config['scenario']['sector_opts'][0]}"
f"_{data_config['scenario']['planning_horizons'][0]}.nc"
)

network = pypsa.Network(network_path)

network = drop_biomass(network)

network = drop_urban_decentral_heat(network)

network = district_heating_shares(network)

network = update_heat_timeseries_germany(network)

network = update_electrical_timeseries_germany(network)

network = geothermal_district_heating(network)

network = h2_overground_stores(network)

network = drop_new_gas_pipelines(network)

network = drop_fossil_gas(network)

network = rual_heat_technologies(network)

network.export_to_netcdf(network_path)

else:
print(
f"""Adjustments on prenetworks are not implemented for
foresight option {data_config['foresight']} and
year int(data_config['scenario']['planning_horizons'][0].
Please check the pypsaeur.execute function.
"""
)

else:
print("Pypsa-eur is not executed due to the settings of egon-data")
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