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Merge pull request #871 from PyPSA/feature_kernnetz

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wasserstoff kernnetz
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Fabian Neumann 2024-01-19 10:51:17 +01:00 committed by GitHub
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1 changed files with 17 additions and 0 deletions
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scripts/prepare_sector_network.py
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@ -1325,6 +1325,22 @@ def add_storage_and_grids(n, costs):
n, "H2 pipeline ", carriers=["DC", "gas pipeline"] n, "H2 pipeline ", carriers=["DC", "gas pipeline"]
) )
h2_pipes["p_nom"] = 0.0
if "custom_h2_pipelines" in snakemake.input:
fn = snakemake.input.custom_h2_pipelines
custom_pipes = pd.read_csv(fn, index_col=0)
h2_pipes = pd.concat([h2_pipes, custom_pipes])
# drop duplicates according to buses (order can be different) and keep pipe with highest p_nom
h2_pipes["buses_sorted"] = h2_pipes[["bus0", "bus1"]].apply(sorted, axis=1)
h2_pipes = (
h2_pipes.sort_values("p_nom")
.drop_duplicates(subset=["buses_sorted"], keep="last")
.drop(columns="buses_sorted")
)
# TODO Add efficiency losses # TODO Add efficiency losses
n.madd( n.madd(
"Link", "Link",
@ -1333,6 +1349,7 @@ def add_storage_and_grids(n, costs):
bus1=h2_pipes.bus1.values + " H2", bus1=h2_pipes.bus1.values + " H2",
p_min_pu=-1, p_min_pu=-1,
p_nom_extendable=True, p_nom_extendable=True,
p_nom_min=h2_pipes.p_nom.values,
length=h2_pipes.length.values, length=h2_pipes.length.values,
capital_cost=costs.at["H2 (g) pipeline", "fixed"] * h2_pipes.length.values, capital_cost=costs.at["H2 (g) pipeline", "fixed"] * h2_pipes.length.values,
carrier="H2 pipeline", carrier="H2 pipeline",