n.storage_units['marginal_cost'] += n.storage_units.carrier.map(ep)
if __name__ == "__main__":
# Detect running outside of snakemake and mock snakemake for testing
if 'snakemake' not in globals():
from vresutils.snakemake import MockSnakemake, Dict
snakemake = MockSnakemake(output=['networks/elec.nc'])
snakemake.input = snakemake.expand(
Dict(base_network='networks/base.nc',
tech_costs='data/costs.csv',
regions="resources/regions_onshore.geojson",
powerplants="resources/powerplants.csv",
hydro_capacities='data/bundle/hydro_capacities.csv',
opsd_load=
'data/bundle/time_series_60min_singleindex_filtered.csv',
nuts3_shapes='resources/nuts3_shapes.geojson',
**{
'profile_' + t: "resources/profile_" + t + ".nc"
for t in snakemake.config['renewable']
}))
logging.basicConfig(level=snakemake.config['logging_level'])
n = pypsa.Network(snakemake.input.base_network)
Nyears = n.snapshot_weightings.sum() / 8760.
costs = load_costs(Nyears)
ppl = load_powerplants(n)
"""
script to convert the technology data assumptions of the Study
"Global Energy System based on 100% Renewable Energy" of Energywatchgroup/LTU University
http://energywatchgroup.org/wp-content/uploads/EWG_LUT_100RE_All_Sectors_Global_Report_2019.pdf
(see also pdf in folder docu) into a .csv format
"""
import pandas as pd
from tabula import read_pdf
import numpy as np
# Detect running outside of snakemake and mock snakemake for testing
if 'snakemake' not in globals():
from vresutils.snakemake import MockSnakemake
snakemake = MockSnakemake()
snakemake.input = dict(EWG = "docu/EWG_LUT_100RE_All_Sectors_Global_Report_2019.pdf")
snakemake.output = dict(costs = "inputs/EWG_costs.csv")
df_list = read_pdf(snakemake.input["EWG"],
pages="305-309",
multiple_tables=True)
#%%
# wished columns
wished_columns = ['Technologies', 'Type', 'Units',
'2015', '2020', '2025', '2030',
'2035', '2040', '2045', '2050', 'Ref']
# clean data frame
split_units = df_list[0]["Units 2015"].fillna(" ").str.split(" ", expand=True)
# check where split is too long
to_be_merged = split_units[split_units[2].apply(lambda x: x!=None)].index
split_units.loc[to_be_merged, 0] = split_units.loc[to_be_merged, 0] + " " + split_units.loc[to_be_merged, 1]