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GDP for UA and MD (draft) - not working yet!

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martacki 2022-03-04 20:02:27 +01:00
parent d1d42213b1
commit 025dd35878
2 changed files with 24 additions and 3 deletions
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1
Snakefile
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@ -226,6 +226,7 @@ rule add_electricity:
geth_hydro_capacities='data/geth2015_hydro_capacities.csv', geth_hydro_capacities='data/geth2015_hydro_capacities.csv',
load='resources/load.csv', load='resources/load.csv',
nuts3_shapes='resources/nuts3_shapes.geojson', nuts3_shapes='resources/nuts3_shapes.geojson',
gdp='data/bundle/GDP_PPP_30arcsec_v3.nc',
**{f"profile_{tech}": f"resources/profile_{tech}.nc" **{f"profile_{tech}": f"resources/profile_{tech}.nc"
for tech in config['renewable']} for tech in config['renewable']}
output: "networks/elec.nc" output: "networks/elec.nc"

26
scripts/add_electricity.py
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@ -90,6 +90,7 @@ import pypsa
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import xarray as xr import xarray as xr
import xagg as xa
import geopandas as gpd import geopandas as gpd
import powerplantmatching as pm import powerplantmatching as pm
from powerplantmatching.export import map_country_bus from powerplantmatching.export import map_country_bus
@ -189,7 +190,7 @@ def load_powerplants(ppl_fn):
.replace({'carrier': carrier_dict})) .replace({'carrier': carrier_dict}))
def attach_load(n, regions, load, nuts3_shapes, countries, scaling=1.): def attach_load(n, regions, load, nuts3_shapes, gdp, countries, scaling=1.):
substation_lv_i = n.buses.index[n.buses['substation_lv']] substation_lv_i = n.buses.index[n.buses['substation_lv']]
regions = (gpd.read_file(regions).set_index('name') regions = (gpd.read_file(regions).set_index('name')
@ -197,6 +198,18 @@ def attach_load(n, regions, load, nuts3_shapes, countries, scaling=1.):
opsd_load = (pd.read_csv(load, index_col=0, parse_dates=True) opsd_load = (pd.read_csv(load, index_col=0, parse_dates=True)
.filter(items=countries)) .filter(items=countries))
#ToDo: adapt time+slices from config etc. (cover all data)
gdp = (xr.open_dataset(gdp)
.sel(time=2015)
.sel(longitude=slice(10,30))
.sel(latitude=slice(50, 30)))
weightmap = xa.pixel_overlaps(gdp, regions.iloc[0:2])
aggregated = xa.aggregate(gdp, weightmap)
print(aggregated.to_dataset().name)
print(aggregated.to_dataset().GDP_per_capita_PPP)
print(martha)
logger.info(f"Load data scaled with scalling factor {scaling}.") logger.info(f"Load data scaled with scalling factor {scaling}.")
opsd_load *= scaling opsd_load *= scaling
@ -204,6 +217,7 @@ def attach_load(n, regions, load, nuts3_shapes, countries, scaling=1.):
def upsample(cntry, group): def upsample(cntry, group):
l = opsd_load[cntry] l = opsd_load[cntry]
if len(group) == 1: if len(group) == 1:
return pd.DataFrame({group.index[0]: l}) return pd.DataFrame({group.index[0]: l})
else: else:
@ -218,12 +232,18 @@ def attach_load(n, regions, load, nuts3_shapes, countries, scaling=1.):
# relative factors 0.6 and 0.4 have been determined from a linear # relative factors 0.6 and 0.4 have been determined from a linear
# regression on the country to continent load data # regression on the country to continent load data
factors = normed(0.6 * normed(gdp_n) + 0.4 * normed(pop_n)) factors = normed(0.6 * normed(gdp_n) + 0.4 * normed(pop_n))
if cntry in ['UA', 'MD']:
#generate new factors in this case
print('ToDo: adjust load for UA and MD here')
return pd.DataFrame(factors.values * l.values[:,np.newaxis], return pd.DataFrame(factors.values * l.values[:,np.newaxis],
index=l.index, columns=factors.index) index=l.index, columns=factors.index)
load = pd.concat([upsample(cntry, group) for cntry, group load = pd.concat([upsample(cntry, group) for cntry, group
in regions.geometry.groupby(regions.country)], axis=1) in regions.geometry.groupby(regions.country)], axis=1)
print(some_error)
n.madd("Load", substation_lv_i, bus=substation_lv_i, p_set=load) n.madd("Load", substation_lv_i, bus=substation_lv_i, p_set=load)
@ -257,7 +277,7 @@ def update_transmission_costs(n, costs, length_factor=1.0, simple_hvdc_costs=Fal
def attach_wind_and_solar(n, costs, input_profiles, technologies, line_length_factor=1): def attach_wind_and_solar(n, costs, input_profiles, technologies, line_length_factor=1):
# TODO: rename tech -> carrier, technologies -> carriers # TODO: rename tech -> carrier, technologies -> carriers
for tech in technologies: for tech in technologies:
if tech == 'hydro': continue if tech == 'hydro': continue
@ -551,7 +571,7 @@ if __name__ == "__main__":
ppl = load_powerplants(snakemake.input.powerplants) ppl = load_powerplants(snakemake.input.powerplants)
attach_load(n, snakemake.input.regions, snakemake.input.load, snakemake.input.nuts3_shapes, attach_load(n, snakemake.input.regions, snakemake.input.load, snakemake.input.nuts3_shapes,
snakemake.config['countries'], snakemake.config['load']['scaling_factor']) snakemake.input.gdp, snakemake.config['countries'], snakemake.config['load']['scaling_factor'])
update_transmission_costs(n, costs, snakemake.config['lines']['length_factor']) update_transmission_costs(n, costs, snakemake.config['lines']['length_factor'])