biomass_transport: reduce output files
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@ -188,8 +188,6 @@ if config["sector"]["biomass_transport"]:
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input:
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transport_cost_data=HTTP.remote("publications.jrc.ec.europa.eu/repository/bitstream/JRC98626/biomass potentials in europe_web rev.pdf", keep_local=True)
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output:
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supply_chain1="resources/biomass_transport_costs_supply_chain1.csv",
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supply_chain2="resources/biomass_transport_costs_supply_chain2.csv",
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biomass_transport_costs="resources/biomass_transport_costs.csv",
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threads: 1
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resources: mem_mb=1000
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@ -63,9 +63,6 @@ def build_biomass_transport_costs():
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sc1 = get_cost_per_tkm(146, countries)
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sc2 = get_cost_per_tkm(147, countries)
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sc1.to_csv(snakemake.output.supply_chain1)
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sc2.to_csv(snakemake.output.supply_chain2)
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# take mean of both supply chains
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to_concat = [sc1["EUR/km/ton"], sc2["EUR/km/ton"]]
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transport_costs = pd.concat(to_concat, axis=1).mean(axis=1)
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