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pre-commit formatting [no ci]

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This commit is contained in:
Fabian Neumann 2024-05-20 15:49:40 +02:00
parent 65b05e92a1
commit a2012d8937
4 changed files with 27 additions and 10 deletions
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6
scripts/build_powerplants.py
View File

@ -148,7 +148,11 @@ def add_everywhere_powerplants(ppl, substations, everywhere_powerplants):
def replace_natural_gas_technology(df):
mapping = {"Steam Turbine": "CCGT", "Combustion Engine": "OCGT", "Not Found": "CCGT"}
mapping = {
"Steam Turbine": "CCGT",
"Combustion Engine": "OCGT",
"Not Found": "CCGT",
}
tech = df.Technology.replace(mapping).fillna("CCGT")
return df.Technology.mask(df.Fueltype == "Natural Gas", tech)

4
scripts/prepare_sector_network.py
View File

@ -973,7 +973,9 @@ def insert_electricity_distribution_grid(n, costs):
.get("electricity distribution grid", {})
.get("efficiency_static")
):
logger.info(f"Deducting distribution losses from electricity demand: {100*(1-efficiency)}%")
logger.info(
f"Deducting distribution losses from electricity demand: {100*(1-efficiency)}%"
)
n.loads_t.p_set.loc[:, n.loads.carrier == "electricity"] *= efficiency
# this catches regular electricity load and "industry electricity" and

25
scripts/solve_network.py
View File

@ -531,28 +531,39 @@ def add_CCL_constraints(n, config):
agg_p_nom_limits: data/agg_p_nom_minmax.csv
"""
agg_p_nom_minmax = pd.read_csv(
config["solving"]["agg_p_nom_limits"]["file"],
index_col=[0, 1], header=[0, 1]
config["solving"]["agg_p_nom_limits"]["file"], index_col=[0, 1], header=[0, 1]
)[snakemake.wildcards.planning_horizons]
logger.info("Adding generation capacity constraints per carrier and country")
p_nom = n.model["Generator-p_nom"]
gens = n.generators.query("p_nom_extendable").rename_axis(index="Generator-ext")
if config["solving"]["agg_p_nom_limits"]["agg_offwind"]:
rename_offwind = {"offwind-ac": "offwind-all", "offwind-dc": "offwind-all", "offwind": "offwind-all"}
rename_offwind = {
"offwind-ac": "offwind-all",
"offwind-dc": "offwind-all",
"offwind": "offwind-all",
}
gens = gens.replace(rename_offwind)
grouper = pd.concat([gens.bus.map(n.buses.country), gens.carrier], axis=1)
lhs = p_nom.groupby(grouper).sum().rename(bus="country")
if config["solving"]["agg_p_nom_limits"]["include_existing"]:
gens_cst = n.generators.query("~p_nom_extendable").rename_axis(index="Generator-cst")
gens_cst = n.generators.query("~p_nom_extendable").rename_axis(
index="Generator-cst"
)
gens_cst = gens_cst[
(gens_cst["build_year"] + gens_cst["lifetime"]) >= int(snakemake.wildcards.planning_horizons)]
(gens_cst["build_year"] + gens_cst["lifetime"])
>= int(snakemake.wildcards.planning_horizons)
]
if config["solving"]["agg_p_nom_limits"]["agg_offwind"]:
gens_cst = gens_cst.replace(rename_offwind)
rhs_cst = (
pd.concat([gens_cst.bus.map(n.buses.country), gens_cst[["carrier", "p_nom"]]], axis=1)
.groupby(["bus", "carrier"]).sum()
pd.concat(
[gens_cst.bus.map(n.buses.country), gens_cst[["carrier", "p_nom"]]],
axis=1,
)
.groupby(["bus", "carrier"])
.sum()
)
rhs_cst.index = rhs_cst.index.rename({"bus": "country"})
rhs_min = agg_p_nom_minmax["min"].dropna()