change industry reference year to 2019
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@ -716,7 +716,7 @@ industry:
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MWh_CH4_per_tMeOH: 10.25
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MWh_CH4_per_tMeOH: 10.25
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MWh_MeOH_per_tMeOH: 5.528
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MWh_MeOH_per_tMeOH: 5.528
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hotmaps_locate_missing: false
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hotmaps_locate_missing: false
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reference_year: 2021
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reference_year: 2019
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# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs
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# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs
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@ -293,6 +293,7 @@ def separate_basic_chemicals(demand, year):
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"""
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"""
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Separate basic chemicals into ammonia, chlorine, methanol and HVC.
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Separate basic chemicals into ammonia, chlorine, methanol and HVC.
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"""
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"""
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# ammonia data from 2017-2021
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ammonia = pd.read_csv(snakemake.input.ammonia_production, index_col=0)
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ammonia = pd.read_csv(snakemake.input.ammonia_production, index_col=0)
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there = ammonia.index.intersection(demand.index)
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there = ammonia.index.intersection(demand.index)
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@ -302,7 +303,10 @@ def separate_basic_chemicals(demand, year):
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demand["Ammonia"] = 0.0
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demand["Ammonia"] = 0.0
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demand.loc[there, "Ammonia"] = ammonia.loc[there, str(year)]
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year_to_use = min(max(year, 2017), 2021)
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if year_to_use != year:
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logger.info(f"Using data from {year_to_use} for ammonia production.")
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demand.loc[there, "Ammonia"] = ammonia.loc[there, str(year_to_use)]
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demand["Basic chemicals"] -= demand["Ammonia"]
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demand["Basic chemicals"] -= demand["Ammonia"]
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