pypsa-eur/scripts/build_industrial_energy_demand_per_node.py
Fabian Neumann df285a001e merge master
2022-02-18 11:25:38 +01:00

46 lines
1.4 KiB
Python

"""Build industrial energy demand per node."""
import pandas as pd
if __name__ == '__main__':
if 'snakemake' not in globals():
from helper import mock_snakemake
snakemake = mock_snakemake(
'build_industrial_energy_demand_per_node',
weather_year='',
simpl='',
clusters=48,
)
# import EU ratios df as csv
fn = snakemake.input.industry_sector_ratios
industry_sector_ratios = pd.read_csv(fn, index_col=0)
# material demand per node and industry (kton/a)
fn = snakemake.input.industrial_production_per_node
nodal_production = pd.read_csv(fn, index_col=0)
# energy demand today to get current electricity
fn = snakemake.input.industrial_energy_demand_per_node_today
nodal_today = pd.read_csv(fn, index_col=0)
# final energy consumption per node and industry (TWh/a)
nodal_df = nodal_production.dot(industry_sector_ratios.T)
# convert GWh to TWh and ktCO2 to MtCO2
nodal_df *= 0.001
rename_sectors = {
'elec': 'electricity',
'biomass': 'solid biomass',
'heat': 'low-temperature heat'
}
nodal_df.rename(columns=rename_sectors, inplace=True)
nodal_df["current electricity"] = nodal_today["electricity"]
nodal_df.index.name = "TWh/a (MtCO2/a)"
fn = snakemake.output.industrial_energy_demand_per_node
nodal_df.to_csv(fn, float_format='%.2f')