Merge branch 'update-district-heating-cops' of https://github.com/PyPSA/pypsa-eur into update-district-heating-cops
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commit
ff12480713
@ -408,7 +408,6 @@ sector:
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2045: 0.8
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2050: 1.0
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district_heating_loss: 0.15
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# check these numbers!
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forward_temperature: 90 #C
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return_temperature: 50 #C
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heat_source_cooling: 6 #K
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@ -1063,7 +1062,7 @@ plotting:
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V2G: '#e5ffa8'
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land transport EV: '#baf238'
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land transport demand: '#38baf2'
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Li ion: '#baf238'
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EV battery: '#baf238'
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# hot water storage
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water tanks: '#e69487'
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residential rural water tanks: '#f7b7a3'
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@ -10,10 +10,10 @@ district_heating,--,,`prepare_sector_network.py <https://github.com/PyPSA/pypsa-
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-- return_temperature,°C,float,Return temperature in district heating. Must be lower than forward temperature
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-- heat_source_cooling,K,float,Cooling of heat source for heat pumps
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-- heat_pump_cop_approximation,,,
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-- refrigerant,--,"{ammonia, isobutane}",Heat pump refrigerant assumed for COP approximation
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-- heat_exchanger_pinch_point_temperature_difference,K,float,Heat pump pinch point temperature difference in heat exchangers assumed for approximation.
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-- isentropic_compressor_efficiency,--,float,Isentropic efficiency of heat pump compressor assumed for approximation. Must be between 0 and 1.
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-- heat_loss,--,float,Heat pump heat loss assumed for approximation. Must be between 0 and 1.
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-- -- refrigerant,--,"{ammonia, isobutane}",Heat pump refrigerant assumed for COP approximation
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-- -- heat_exchanger_pinch_point_temperature_difference,K,float,Heat pump pinch point temperature difference in heat exchangers assumed for approximation.
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-- -- isentropic_compressor_efficiency,--,float,Isentropic efficiency of heat pump compressor assumed for approximation. Must be between 0 and 1.
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-- -- heat_loss,--,float,Heat pump heat loss assumed for approximation. Must be between 0 and 1.
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-- progress,--,Dictionary with planning horizons as keys., Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating
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-- district_heating_loss,--,float,Share increase in district heat demand in urban central due to heat losses
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cluster_heat_buses,--,"{true, false}",Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_ to one to save memory.
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@ -12,6 +12,8 @@ Upcoming Release
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* Changed heat pump COP approximation for central heating to be based on Jensen et al. 2018 and a default forward temperature of 90C. This is more realistic for district heating than the previously used approximation method.
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* Renamed the carrier of batteries in BEVs from `battery storage` to `EV battery` and the corresponding bus carrier from `Li ion` to `EV battery`. This is to avoid confusion with stationary battery storage.
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* Changed default assumptions about waste heat usage from PtX and fuel cells in district heating.
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The default value for the link efficiency scaling factor was changed from 100% to 25%.
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It can be set to other values in the configuration ``sector: use_TECHNOLOGY_waste_heat``.
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@ -89,10 +89,6 @@ def add_brownfield(n, n_p, year):
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# deal with gas network
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pipe_carrier = ["gas pipeline"]
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if snakemake.params.H2_retrofit:
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# drop capacities of previous year to avoid duplicating
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to_drop = n.links.carrier.isin(pipe_carrier) & (n.links.build_year != year)
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n.mremove("Link", n.links.loc[to_drop].index)
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# subtract the already retrofitted from today's gas grid capacity
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h2_retrofitted_fixed_i = n.links[
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(n.links.carrier == "H2 pipeline retrofitted")
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@ -115,10 +111,6 @@ def add_brownfield(n, n_p, year):
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index=pipe_capacity.index
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).fillna(0)
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n.links.loc[gas_pipes_i, "p_nom"] = remaining_capacity
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else:
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new_pipes = n.links.carrier.isin(pipe_carrier) & (n.links.build_year == year)
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n.links.loc[new_pipes, "p_nom"] = 0.0
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n.links.loc[new_pipes, "p_nom_min"] = 0.0
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def disable_grid_expansion_if_limit_hit(n):
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@ -250,7 +250,7 @@ def adjust_stores(n):
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n.stores.loc[cyclic_i, "e_cyclic_per_period"] = True
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n.stores.loc[cyclic_i, "e_cyclic"] = False
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# non cyclic store assumptions
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non_cyclic_store = ["co2", "co2 stored", "solid biomass", "biogas", "Li ion"]
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non_cyclic_store = ["co2", "co2 stored", "solid biomass", "biogas", "EV battery"]
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co2_i = n.stores[n.stores.carrier.isin(non_cyclic_store)].index
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n.stores.loc[co2_i, "e_cyclic_per_period"] = False
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n.stores.loc[co2_i, "e_cyclic"] = False
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@ -1238,12 +1238,14 @@ def add_storage_and_grids(n, costs):
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gas_pipes["p_nom_min"] = 0.0
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# 0.1 EUR/MWkm/a to prefer decommissioning to address degeneracy
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gas_pipes["capital_cost"] = 0.1 * gas_pipes.length
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gas_pipes["p_nom_extendable"] = True
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else:
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gas_pipes["p_nom_max"] = np.inf
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gas_pipes["p_nom_min"] = gas_pipes.p_nom
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gas_pipes["capital_cost"] = (
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gas_pipes.length * costs.at["CH4 (g) pipeline", "fixed"]
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)
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gas_pipes["p_nom_extendable"] = False
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n.madd(
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"Link",
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@ -1252,14 +1254,14 @@ def add_storage_and_grids(n, costs):
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bus1=gas_pipes.bus1 + " gas",
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p_min_pu=gas_pipes.p_min_pu,
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p_nom=gas_pipes.p_nom,
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p_nom_extendable=True,
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p_nom_extendable=gas_pipes.p_nom_extendable,
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p_nom_max=gas_pipes.p_nom_max,
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p_nom_min=gas_pipes.p_nom_min,
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length=gas_pipes.length,
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capital_cost=gas_pipes.capital_cost,
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tags=gas_pipes.name,
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carrier="gas pipeline",
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lifetime=costs.at["CH4 (g) pipeline", "lifetime"],
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lifetime=np.inf,
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)
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# remove fossil generators where there is neither
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@ -1541,14 +1543,14 @@ def add_EVs(
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temperature,
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):
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n.add("Carrier", "Li ion")
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n.add("Carrier", "EV battery")
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n.madd(
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"Bus",
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spatial.nodes,
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suffix=" EV battery",
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location=spatial.nodes,
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carrier="Li ion",
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carrier="EV battery",
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unit="MWh_el",
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)
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@ -1621,9 +1623,9 @@ def add_EVs(
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n.madd(
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"Store",
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spatial.nodes,
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suffix=" battery storage",
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suffix=" EV battery",
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bus=spatial.nodes + " EV battery",
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carrier="battery storage",
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carrier="EV battery",
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e_cyclic=True,
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e_nom=e_nom,
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e_max_pu=1,
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