2020-10-12 10:20:04 +00:00
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import pandas as pd
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import numpy as np
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# import EU ratios df as csv
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industry_sector_ratios=pd.read_csv(snakemake.input.industry_sector_ratios,
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index_col=0)
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#material demand per node and industry (kton/a)
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2020-10-12 11:26:21 +00:00
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nodal_production = pd.read_csv(snakemake.input.industrial_production_per_node,
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index_col=0)
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#energy demand today to get current electricity
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nodal_today = pd.read_csv(snakemake.input.industrial_energy_demand_per_node_today,
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index_col=0)
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2020-10-12 10:20:04 +00:00
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#final energy consumption per node and industry (TWh/a)
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nodal_df = nodal_production.dot(industry_sector_ratios.T)
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nodal_df*= 0.001 #GWh -> TWh (ktCO2 -> MtCO2)
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rename_sectors = {'elec':'electricity',
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'biomass':'solid biomass',
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'heat':'low-temperature heat'}
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nodal_df.rename(columns=rename_sectors,inplace=True)
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2020-10-12 11:26:21 +00:00
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nodal_df["current electricity"] = nodal_today["electricity"]
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2020-10-12 10:20:04 +00:00
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nodal_df.index.name = "TWh/a (MtCO2/a)"
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nodal_df.to_csv(snakemake.output.industrial_energy_demand_per_node,
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float_format='%.2f')
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