[pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
This commit is contained in:
pre-commit-ci[bot]
parent
07224751e5
commit
cc6bae282f
@ -250,13 +250,14 @@ rule build_renewable_profiles:
|
||||
script:
|
||||
"../scripts/build_renewable_profiles.py"
|
||||
|
||||
|
||||
rule build_monthly_prices:
|
||||
input:
|
||||
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:
|
||||
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:
|
||||
LOGS + "build_monthly_prices.log",
|
||||
threads: 1
|
||||
@ -267,6 +268,7 @@ rule build_monthly_prices:
|
||||
script:
|
||||
"../scripts/build_monthly_prices.py"
|
||||
|
||||
|
||||
rule build_hydro_profile:
|
||||
params:
|
||||
hydro=config["renewable"]["hydro"],
|
||||
|
||||
@ -382,17 +382,14 @@ def attach_conventional_generators(
|
||||
.rename(index=lambda s: "C" + str(s))
|
||||
)
|
||||
ppl["efficiency"] = ppl.efficiency.fillna(ppl.efficiency_r)
|
||||
|
||||
|
||||
fuel_price = (fuel_price.assign(OCGT=fuel_price['gas'],
|
||||
CCGT=fuel_price['gas'])
|
||||
.drop("gas", axis=1))
|
||||
fuel_price = fuel_price.assign(OCGT=fuel_price["gas"], CCGT=fuel_price["gas"]).drop(
|
||||
"gas", axis=1
|
||||
)
|
||||
fuel_price = fuel_price.reindex(ppl.carrier, axis=1)
|
||||
fuel_price.fillna(costs.fuel, inplace=True)
|
||||
fuel_price.columns = ppl.index
|
||||
marginal_cost = (
|
||||
(fuel_price.div(ppl.efficiency)).add(ppl.carrier.map(costs.VOM))
|
||||
)
|
||||
marginal_cost = (fuel_price.div(ppl.efficiency)).add(ppl.carrier.map(costs.VOM))
|
||||
|
||||
logger.info(
|
||||
"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.")
|
||||
n.carriers["color"] = colors
|
||||
|
||||
#%%
|
||||
|
||||
# %%
|
||||
if __name__ == "__main__":
|
||||
if "snakemake" not in globals():
|
||||
from _helpers import mock_snakemake
|
||||
@ -753,11 +751,9 @@ if __name__ == "__main__":
|
||||
conventional_inputs = {
|
||||
k: v for k, v in snakemake.input.items() if k.startswith("conventional_")
|
||||
}
|
||||
|
||||
m_fuel_price = pd.read_csv(snakemake.input.fuel_price,
|
||||
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 = pd.read_csv(snakemake.input.fuel_price, index_col=[0], header=[0])
|
||||
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")
|
||||
attach_conventional_generators(
|
||||
n,
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- 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,
|
||||
as well as CO2 prices
|
||||
@ -40,8 +40,9 @@ Data sources:
|
||||
Data was accessed at 16.5.2023
|
||||
"""
|
||||
|
||||
import pandas as pd
|
||||
import logging
|
||||
|
||||
import pandas as pd
|
||||
from _helpers import configure_logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@ -49,69 +50,75 @@ logger = logging.getLogger(__name__)
|
||||
validation_year = 2019
|
||||
|
||||
# sheet names to pypsa syntax
|
||||
sheet_name_map = {"5.1 Hard coal and lignite": "coal",
|
||||
"5.2 Mineral oil" : "oil",
|
||||
"5.3.1 Natural gas - indices":"gas"}
|
||||
sheet_name_map = {
|
||||
"5.1 Hard coal and lignite": "coal",
|
||||
"5.2 Mineral oil": "oil",
|
||||
"5.3.1 Natural gas - indices": "gas",
|
||||
}
|
||||
|
||||
# keywords in datasheet
|
||||
keywords = {"coal": " GP09-051 Hard coal",
|
||||
"lignite": " GP09-052 Lignite and lignite briquettes",
|
||||
"oil": " GP09-0610 10 Mineral oil, crude",
|
||||
"gas": "GP09-062 Natural gas"
|
||||
}
|
||||
keywords = {
|
||||
"coal": " GP09-051 Hard coal",
|
||||
"lignite": " GP09-052 Lignite and lignite briquettes",
|
||||
"oil": " GP09-0610 10 Mineral oil, crude",
|
||||
"gas": "GP09-062 Natural gas",
|
||||
}
|
||||
|
||||
# import fuel price 2015 in Eur/MWh
|
||||
# source for coal, oil, gas, Agora, slide 24 [2]
|
||||
# source lignite, price for 2020, scaled by price index, ENTSO-E [3]
|
||||
price_2015 = {"coal": 8.3,
|
||||
"oil": 30.6,
|
||||
"gas": 20.6,
|
||||
"lignite": 3.8} # 2020 3.96/1.04
|
||||
price_2015 = {"coal": 8.3, "oil": 30.6, "gas": 20.6, "lignite": 3.8} # 2020 3.96/1.04
|
||||
|
||||
|
||||
def get_fuel_price():
|
||||
fuel_price = pd.read_excel(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 = pd.read_excel(
|
||||
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
|
||||
}
|
||||
# lignite and hard coal are on the same sheet
|
||||
fuel_price["lignite"] = fuel_price["coal"]
|
||||
|
||||
|
||||
def extract_df(sheet, keyword):
|
||||
# Create a DatetimeIndex for the first day of each month of a given year
|
||||
dti = pd.date_range(start=f'{validation_year}-01-01',
|
||||
end=f'{validation_year}-12-01', freq='MS')
|
||||
dti = pd.date_range(
|
||||
start=f"{validation_year}-01-01", end=f"{validation_year}-12-01", freq="MS"
|
||||
)
|
||||
# Extract month names
|
||||
month_list = dti.month
|
||||
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.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 = df.iloc[:, :12]
|
||||
df.columns = month_list
|
||||
return df
|
||||
|
||||
|
||||
m_price = {}
|
||||
for carrier, keyword in keywords.items():
|
||||
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)
|
||||
|
||||
|
||||
def get_co2_price():
|
||||
# emission price
|
||||
CO2_price = pd.read_excel(snakemake.input.co2_price_raw, index_col=1,
|
||||
header=5)
|
||||
CO2_price = pd.read_excel(snakemake.input.co2_price_raw, index_col=1, header=5)
|
||||
CO2_price["Auction Price €/tCO2"].to_csv(snakemake.output.co2_price)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
if "snakemake" not in globals():
|
||||
from _helpers import mock_snakemake
|
||||
|
||||
snakemake = mock_snakemake("build_monthly_prices")
|
||||
|
||||
|
||||
configure_logging(snakemake)
|
||||
|
||||
|
||||
get_fuel_price()
|
||||
get_co2_price()
|
||||
|
||||
|
||||
@ -106,17 +106,19 @@ def add_emission_prices(n, emission_prices={"co2": 0.0}, exclude_co2=False):
|
||||
n.generators["marginal_cost"] += gen_ep
|
||||
su_ep = n.storage_units.carrier.map(ep) / n.storage_units.efficiency_dispatch
|
||||
n.storage_units["marginal_cost"] += su_ep
|
||||
|
||||
|
||||
|
||||
def add_emission_prices_t(n):
|
||||
co2_price = pd.read_csv(snakemake.input.co2_price, index_col=0,
|
||||
parse_dates=True)
|
||||
co2_price = pd.read_csv(snakemake.input.co2_price, index_col=0, parse_dates=True)
|
||||
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)
|
||||
co2_cost = (expand_series(emissions, n.snapshots).T
|
||||
.mul(co2_price.iloc[:,0], axis=0))
|
||||
n.generators_t.marginal_cost += (co2_cost.reindex(columns=n.generators_t.marginal_cost.columns))
|
||||
co2_cost = expand_series(emissions, n.snapshots).T.mul(co2_price.iloc[:, 0], axis=0)
|
||||
n.generators_t.marginal_cost += co2_cost.reindex(
|
||||
columns=n.generators_t.marginal_cost.columns
|
||||
)
|
||||
|
||||
|
||||
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)
|
||||
|
||||
|
||||
#%%
|
||||
# %%
|
||||
if __name__ == "__main__":
|
||||
if "snakemake" not in globals():
|
||||
from _helpers import mock_snakemake
|
||||
@ -338,7 +340,9 @@ if __name__ == "__main__":
|
||||
add_emission_prices(n, snakemake.params.costs["emission_prices"])
|
||||
break
|
||||
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)
|
||||
|
||||
ll_type, factor = snakemake.wildcards.ll[0], snakemake.wildcards.ll[1:]
|
||||
|
||||
@ -149,7 +149,6 @@ def prepare_network(
|
||||
planning_horizons=None,
|
||||
co2_sequestration_potential=None,
|
||||
):
|
||||
|
||||
if snakemake.config["existing_capacities"]["unit_commitment"]:
|
||||
add_unit_commitment(n, snakemake.input.unit_commitment_params)
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user