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Deduct electric heating from electricity load profile

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Otherwise it is double-counted in both the heating and the electricity
load profiles. This removes 454 TWh/a from electricity.
This commit is contained in:
Tom Brown 2019-08-01 16:16:05 +02:00
parent d3a0f7e67d
commit eebac1bfa3
1 changed files with 6 additions and 0 deletions
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6
scripts/prepare_sector_network.py
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@ -304,6 +304,7 @@ def prepare_data(network):
uses = ["water","space"]
heat_demand = {}
electric_heat_supply = {}
for sector in sectors:
for use in uses:
intraday_year_profile = generate_periodic_profiles(daily_space_heat_demand.index.tz_localize("UTC"),
@ -318,9 +319,14 @@ def prepare_data(network):
factor = 1.
heat_demand["{} {}".format(sector,use)] = factor*(heat_demand_shape/heat_demand_shape.sum()).multiply(nodal_energy_totals["total {} {}".format(sector,use)])*1e6
electric_heat_supply["{} {}".format(sector,use)] = (heat_demand_shape/heat_demand_shape.sum()).multiply(nodal_energy_totals["electricity {} {}".format(sector,use)])*1e6
heat_demand = pd.concat(heat_demand,axis=1)
electric_heat_supply = pd.concat(electric_heat_supply,axis=1)
#subtract from electricity load since heat demand already in heat_demand
electric_nodes = n.loads.index[n.loads.carrier == "electricity"]
n.loads_t.p_set[electric_nodes] = n.loads_t.p_set[electric_nodes] - electric_heat_supply.groupby(level=1,axis=1).sum()[electric_nodes]
##############
#Transport