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wasserstoff kernnetz

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This commit is contained in:
JulianGeis 2024-01-17 11:23:29 +01:00
parent 5faab62a1e
commit ec4e9aa548
1 changed files with 13 additions and 0 deletions
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13
scripts/prepare_sector_network.py
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@ -1324,6 +1324,18 @@ def add_storage_and_grids(n, costs):
n, "H2 pipeline ", carriers=["DC", "gas pipeline"]
)
h2_pipes["p_nom"] = 0.
if snakemake.input.get("custom_h2_pipelines"):
fn = snakemake.input.custom_h2_pipelines
wkn = pd.read_csv(fn, index_col=0)
h2_pipes = pd.concat([h2_pipes, wkn])
# drop duplicates according to buses (order can be different) and keep pipe with highest p_nom
h2_pipes['buses_sorted'] = h2_pipes.apply(lambda row: tuple(sorted([row['bus0'], row['bus1']])), 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
n.madd(
"Link",
@ -1332,6 +1344,7 @@ def add_storage_and_grids(n, costs):
bus1=h2_pipes.bus1.values + " H2",
p_min_pu=-1,
p_nom_extendable=True,
p_nom_min=h2_pipes.p_nom.values,
length=h2_pipes.length.values,
capital_cost=costs.at["H2 (g) pipeline", "fixed"] * h2_pipes.length.values,
carrier="H2 pipeline",