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split hydrogen storage into underground storage in salt cavern for countries with potential, others overground hydrogen storage, switch costs from gas storage to corresponding hydrogen storage

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This commit is contained in:
lisazeyen 2020-09-22 09:52:53 +02:00
parent 515416fd75
commit 27e2584ae8
2 changed files with 25 additions and 9 deletions
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1
Snakefile
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@ -186,6 +186,7 @@ rule prepare_sector_network:
timezone_mappings='data/timezone_mappings.csv',
heat_profile="data/heat_load_profile_BDEW.csv",
costs=config['costs_dir'] + "costs_{planning_horizons}.csv",
h2_cavern = "data/hydrogen_salt_cavern_potentials.csv",
co2_budget="data/co2_budget.csv",
profile_offwind_ac=pypsaeur("resources/profile_offwind-ac.nc"),
profile_offwind_dc=pypsaeur("resources/profile_offwind-dc.nc"),

33
scripts/prepare_sector_network.py
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@ -761,21 +761,36 @@ def add_storage(network):
capital_cost=costs.at["fuel cell","fixed"]*costs.at["fuel cell","efficiency"], #NB: fixed cost is per MWel
lifetime=costs.at['fuel cell','lifetime'])
cavern_nodes = pd.DataFrame()
if options['hydrogen_underground_storage']:
h2_capital_cost = costs.at["gas storage","fixed"]
#TODO: change gas storage to hydrogen underground storage when cost database is updated
#h2_capital_cost = costs.at["hydrogen underground storage","fixed"]
else:
h2_capital_cost = costs.at["hydrogen storage","fixed"]
h2_salt_cavern_potential = pd.read_csv(snakemake.input.h2_cavern,
index_col=0, skiprows=[0],
names=["potential", "TWh"])
h2_cavern_ct = h2_salt_cavern_potential[h2_salt_cavern_potential.potential]
cavern_nodes = pop_layout[pop_layout.ct.isin(h2_cavern_ct.index)]
h2_capital_cost = costs.at["hydrogen storage underground", "fixed"]
network.madd("Store",
cavern_nodes.index + " H2 Store",
bus=cavern_nodes.index + " H2",
e_nom_extendable=True,
e_cyclic=True,
carrier="H2 Store",
capital_cost=h2_capital_cost)
# hydrogen stored overground
h2_capital_cost = costs.at["hydrogen storage tank", "fixed"]
nodes_overground = nodes ^ cavern_nodes.index
network.madd("Store",
nodes + " H2 Store",
bus=nodes + " H2",
nodes_overground + " H2 Store",
bus=nodes_overground + " H2",
e_nom_extendable=True,
e_cyclic=True,
carrier="H2 Store",
capital_cost=h2_capital_cost,
lifetime=costs.at['gas storage','lifetime'])
capital_cost=h2_capital_cost)
h2_links = pd.DataFrame(columns=["bus0","bus1","length"])
prefix = "H2 pipeline "