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[pre-commit.ci] auto fixes from pre-commit.com hooks

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pre-commit-ci[bot] 2023-06-29 06:11:11 +00:00
parent 07224751e5
commit cc6bae282f
5 changed files with 64 additions and 56 deletions
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6
rules/build_electricity.smk
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@ -250,13 +250,14 @@ rule build_renewable_profiles:
script: script:
"../scripts/build_renewable_profiles.py" "../scripts/build_renewable_profiles.py"
rule build_monthly_prices: rule build_monthly_prices:
input: input:
co2_price_raw="data/validation/emission-spot-primary-market-auction-report-2019-data.xls", co2_price_raw="data/validation/emission-spot-primary-market-auction-report-2019-data.xls",
fuel_price_raw="data/validation/energy-price-trends-xlsx-5619002.xlsx" fuel_price_raw="data/validation/energy-price-trends-xlsx-5619002.xlsx",
output: output:
co2_price="data/validation/CO2_price_2019.csv", co2_price="data/validation/CO2_price_2019.csv",
fuel_price="data/validation/monthly_fuel_price.csv" fuel_price="data/validation/monthly_fuel_price.csv",
log: log:
LOGS + "build_monthly_prices.log", LOGS + "build_monthly_prices.log",
threads: 1 threads: 1
@ -267,6 +268,7 @@ rule build_monthly_prices:
script: script:
"../scripts/build_monthly_prices.py" "../scripts/build_monthly_prices.py"
rule build_hydro_profile: rule build_hydro_profile:
params: params:
hydro=config["renewable"]["hydro"], hydro=config["renewable"]["hydro"],

20
scripts/add_electricity.py
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@ -383,16 +383,13 @@ def attach_conventional_generators(
) )
ppl["efficiency"] = ppl.efficiency.fillna(ppl.efficiency_r) ppl["efficiency"] = ppl.efficiency.fillna(ppl.efficiency_r)
fuel_price = fuel_price.assign(OCGT=fuel_price["gas"], CCGT=fuel_price["gas"]).drop(
fuel_price = (fuel_price.assign(OCGT=fuel_price['gas'], "gas", axis=1
CCGT=fuel_price['gas']) )
.drop("gas", axis=1))
fuel_price = fuel_price.reindex(ppl.carrier, axis=1) fuel_price = fuel_price.reindex(ppl.carrier, axis=1)
fuel_price.fillna(costs.fuel, inplace=True) fuel_price.fillna(costs.fuel, inplace=True)
fuel_price.columns = ppl.index fuel_price.columns = ppl.index
marginal_cost = ( marginal_cost = (fuel_price.div(ppl.efficiency)).add(ppl.carrier.map(costs.VOM))
(fuel_price.div(ppl.efficiency)).add(ppl.carrier.map(costs.VOM))
)
logger.info( logger.info(
"Adding {} generators with capacities [GW] \n{}".format( "Adding {} generators with capacities [GW] \n{}".format(
@ -715,7 +712,8 @@ def add_nice_carrier_names(n, config):
logger.warning(f"tech_colors for carriers {missing_i} not defined in config.") logger.warning(f"tech_colors for carriers {missing_i} not defined in config.")
n.carriers["color"] = colors n.carriers["color"] = colors
#%%
# %%
if __name__ == "__main__": if __name__ == "__main__":
if "snakemake" not in globals(): if "snakemake" not in globals():
from _helpers import mock_snakemake from _helpers import mock_snakemake
@ -754,10 +752,8 @@ if __name__ == "__main__":
k: v for k, v in snakemake.input.items() if k.startswith("conventional_") k: v for k, v in snakemake.input.items() if k.startswith("conventional_")
} }
m_fuel_price = pd.read_csv(snakemake.input.fuel_price, m_fuel_price = pd.read_csv(snakemake.input.fuel_price, index_col=[0], header=[0])
index_col=[0], header=[0]) m_fuel_price.index = pd.date_range(start="2019-01-01", end="2019-12-01", freq="MS")
m_fuel_price.index = pd.date_range(start='2019-01-01', end='2019-12-01',
freq='MS')
fuel_price = m_fuel_price.reindex(n.snapshots).fillna(method="ffill") fuel_price = m_fuel_price.reindex(n.snapshots).fillna(method="ffill")
attach_conventional_generators( attach_conventional_generators(
n, n,

59
scripts/build_monthly_prices.py
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@ -1,7 +1,7 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
""" """
Created on Tue May 16 10:37:35 2023 Created on Tue May 16 10:37:35 2023.
This script extracts monthly fuel prices of oil, gas, coal and lignite, This script extracts monthly fuel prices of oil, gas, coal and lignite,
as well as CO2 prices as well as CO2 prices
@ -40,8 +40,9 @@ Data sources:
Data was accessed at 16.5.2023 Data was accessed at 16.5.2023
""" """
import pandas as pd
import logging import logging
import pandas as pd
from _helpers import configure_logging from _helpers import configure_logging
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@ -49,43 +50,49 @@ logger = logging.getLogger(__name__)
validation_year = 2019 validation_year = 2019
# sheet names to pypsa syntax # sheet names to pypsa syntax
sheet_name_map = {"5.1 Hard coal and lignite": "coal", sheet_name_map = {
"5.2 Mineral oil" : "oil", "5.1 Hard coal and lignite": "coal",
"5.3.1 Natural gas - indices":"gas"} "5.2 Mineral oil": "oil",
"5.3.1 Natural gas - indices": "gas",
}
# keywords in datasheet # keywords in datasheet
keywords = {"coal": " GP09-051 Hard coal", keywords = {
"lignite": " GP09-052 Lignite and lignite briquettes", "coal": " GP09-051 Hard coal",
"oil": " GP09-0610 10 Mineral oil, crude", "lignite": " GP09-052 Lignite and lignite briquettes",
"gas": "GP09-062 Natural gas" "oil": " GP09-0610 10 Mineral oil, crude",
} "gas": "GP09-062 Natural gas",
}
# import fuel price 2015 in Eur/MWh # import fuel price 2015 in Eur/MWh
# source for coal, oil, gas, Agora, slide 24 [2] # source for coal, oil, gas, Agora, slide 24 [2]
# source lignite, price for 2020, scaled by price index, ENTSO-E [3] # source lignite, price for 2020, scaled by price index, ENTSO-E [3]
price_2015 = {"coal": 8.3, price_2015 = {"coal": 8.3, "oil": 30.6, "gas": 20.6, "lignite": 3.8} # 2020 3.96/1.04
"oil": 30.6,
"gas": 20.6,
"lignite": 3.8} # 2020 3.96/1.04
def get_fuel_price(): def get_fuel_price():
fuel_price = pd.read_excel(snakemake.input.fuel_price_raw, fuel_price = pd.read_excel(
sheet_name=list(sheet_name_map.keys())) snakemake.input.fuel_price_raw, sheet_name=list(sheet_name_map.keys())
fuel_price = {sheet_name_map[key]: value for key, value in fuel_price.items() )
if key in sheet_name_map} fuel_price = {
sheet_name_map[key]: value
for key, value in fuel_price.items()
if key in sheet_name_map
}
# lignite and hard coal are on the same sheet # lignite and hard coal are on the same sheet
fuel_price["lignite"] = fuel_price["coal"] fuel_price["lignite"] = fuel_price["coal"]
def extract_df(sheet, keyword): def extract_df(sheet, keyword):
# Create a DatetimeIndex for the first day of each month of a given year # Create a DatetimeIndex for the first day of each month of a given year
dti = pd.date_range(start=f'{validation_year}-01-01', dti = pd.date_range(
end=f'{validation_year}-12-01', freq='MS') start=f"{validation_year}-01-01", end=f"{validation_year}-12-01", freq="MS"
)
# Extract month names # Extract month names
month_list = dti.month month_list = dti.month
start = fuel_price[sheet].index[(fuel_price[sheet] == keyword).any(axis=1)] start = fuel_price[sheet].index[(fuel_price[sheet] == keyword).any(axis=1)]
df = fuel_price[sheet].loc[start[0]:start[0]+18,:] df = fuel_price[sheet].loc[start[0] : start[0] + 18, :]
df.dropna(axis=0, inplace=True) df.dropna(axis=0, inplace=True)
df.iloc[:,0] = df.iloc[:,0].apply(lambda x: int(x.replace(" ...", ""))) df.iloc[:, 0] = df.iloc[:, 0].apply(lambda x: int(x.replace(" ...", "")))
df.set_index(df.columns[0], inplace=True) df.set_index(df.columns[0], inplace=True)
df = df.iloc[:, :12] df = df.iloc[:, :12]
df.columns = month_list df.columns = month_list
@ -94,24 +101,24 @@ def get_fuel_price():
m_price = {} m_price = {}
for carrier, keyword in keywords.items(): for carrier, keyword in keywords.items():
df = extract_df(carrier, keyword).loc[validation_year] df = extract_df(carrier, keyword).loc[validation_year]
m_price[carrier] = df.mul(price_2015[carrier]/100) m_price[carrier] = df.mul(price_2015[carrier] / 100)
pd.concat(m_price, axis=1).to_csv(snakemake.output.fuel_price) pd.concat(m_price, axis=1).to_csv(snakemake.output.fuel_price)
def get_co2_price(): def get_co2_price():
# emission price # emission price
CO2_price = pd.read_excel(snakemake.input.co2_price_raw, index_col=1, CO2_price = pd.read_excel(snakemake.input.co2_price_raw, index_col=1, header=5)
header=5)
CO2_price["Auction Price €/tCO2"].to_csv(snakemake.output.co2_price) CO2_price["Auction Price €/tCO2"].to_csv(snakemake.output.co2_price)
if __name__ == "__main__": if __name__ == "__main__":
if "snakemake" not in globals(): if "snakemake" not in globals():
from _helpers import mock_snakemake from _helpers import mock_snakemake
snakemake = mock_snakemake("build_monthly_prices") snakemake = mock_snakemake("build_monthly_prices")
configure_logging(snakemake) configure_logging(snakemake)
get_fuel_price() get_fuel_price()
get_co2_price() get_co2_price()

20
scripts/prepare_network.py
View File

@ -109,14 +109,16 @@ def add_emission_prices(n, emission_prices={"co2": 0.0}, exclude_co2=False):
def add_emission_prices_t(n): def add_emission_prices_t(n):
co2_price = pd.read_csv(snakemake.input.co2_price, index_col=0, co2_price = pd.read_csv(snakemake.input.co2_price, index_col=0, parse_dates=True)
parse_dates=True)
co2_price = co2_price[~co2_price.index.duplicated()] co2_price = co2_price[~co2_price.index.duplicated()]
co2_price = co2_price.reindex(n.snapshots).fillna(method="ffill").fillna(method="bfill") co2_price = (
co2_price.reindex(n.snapshots).fillna(method="ffill").fillna(method="bfill")
)
emissions = n.generators.carrier.map(n.carriers.co2_emissions) emissions = n.generators.carrier.map(n.carriers.co2_emissions)
co2_cost = (expand_series(emissions, n.snapshots).T co2_cost = expand_series(emissions, n.snapshots).T.mul(co2_price.iloc[:, 0], axis=0)
.mul(co2_price.iloc[:,0], axis=0)) n.generators_t.marginal_cost += co2_cost.reindex(
n.generators_t.marginal_cost += (co2_cost.reindex(columns=n.generators_t.marginal_cost.columns)) columns=n.generators_t.marginal_cost.columns
)
def set_line_s_max_pu(n, s_max_pu=0.7): def set_line_s_max_pu(n, s_max_pu=0.7):
@ -250,7 +252,7 @@ def set_line_nom_max(n, s_nom_max_set=np.inf, p_nom_max_set=np.inf):
n.links.p_nom_max.clip(upper=p_nom_max_set, inplace=True) n.links.p_nom_max.clip(upper=p_nom_max_set, inplace=True)
#%% # %%
if __name__ == "__main__": if __name__ == "__main__":
if "snakemake" not in globals(): if "snakemake" not in globals():
from _helpers import mock_snakemake from _helpers import mock_snakemake
@ -338,7 +340,9 @@ if __name__ == "__main__":
add_emission_prices(n, snakemake.params.costs["emission_prices"]) add_emission_prices(n, snakemake.params.costs["emission_prices"])
break break
if "ept" in o: if "ept" in o:
logger.info("Setting time dependent emission prices according spot market price") logger.info(
"Setting time dependent emission prices according spot market price"
)
add_emission_prices_t(n) add_emission_prices_t(n)
ll_type, factor = snakemake.wildcards.ll[0], snakemake.wildcards.ll[1:] ll_type, factor = snakemake.wildcards.ll[0], snakemake.wildcards.ll[1:]

1
scripts/solve_network.py
View File

@ -149,7 +149,6 @@ def prepare_network(
planning_horizons=None, planning_horizons=None,
co2_sequestration_potential=None, co2_sequestration_potential=None,
): ):
if snakemake.config["existing_capacities"]["unit_commitment"]: if snakemake.config["existing_capacities"]["unit_commitment"]:
add_unit_commitment(n, snakemake.input.unit_commitment_params) add_unit_commitment(n, snakemake.input.unit_commitment_params)