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Merge from ariadne2 #918

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2 changes: 2 additions & 0 deletions config/config.default.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -357,6 +357,7 @@ existing_capacities:
grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020, 2025, 2030]
grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019] # these should not extend 2020
threshold_capacity: 10
default_heating_lifetime: 20
conventional_carriers:
- lignite
- coal
Expand Down Expand Up @@ -482,6 +483,7 @@ sector:
resistive_heaters: true
oil_boilers: false
biomass_boiler: true
overdimension_individual_heating: 1.1 #to cover demand peaks bigger than data
chp: true
micro_chp: false
solar_thermal: true
Expand Down
1 change: 1 addition & 0 deletions doc/configtables/existing_capacities.csv
Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,5 @@ grouping_years_power ,--,A list of years,Intervals to group existing capacities
grouping_years_heat ,--,A list of years below 2020,Intervals to group existing capacities for heat

threshold_capacity ,MW,float,Capacities generators and links of below threshold are removed during add_existing_capacities
default_heating_lifetime ,years,int,Default lifetime for heating technologies
conventional_carriers ,--,"Any subset of {uranium, coal, lignite, oil} ",List of conventional power plants to include in the sectoral network
2 changes: 1 addition & 1 deletion doc/configtables/licenses-sector.csv
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ BASt emobility statistics,emobility/,unknown,http://www.bast.de/DE/Verkehrstechn
BDEW heating profile,heat_load_profile_BDEW.csv,unknown,https://github.com/oemof/demandlib
heating profiles for Aarhus,heat_load_profile_DK_AdamJensen.csv,unknown,Adam Jensen MA thesis at Aarhus University
co2 budgets,co2_budget.csv,CC BY 4.0,https://arxiv.org/abs/2004.11009
existing heating potentials,existing_infrastructure/existing_heating_raw.csv,unknown,https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1
existing heating potentials,existing_infrastructure/existing_heating_raw.csv,unknown,https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en
IRENA existing VRE capacities,existing_infrastructure/{solar|onwind|offwind}_capcity_IRENA.csv,unknown,https://www.irena.org/Statistics/Download-Data
USGS ammonia production,myb1-2017-nitro.xls,unknown,https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information
hydrogen salt cavern potentials,h2_salt_caverns_GWh_per_sqkm.geojson,CC BY 4.0,https://doi.org/10.1016/j.ijhydene.2019.12.161 https://doi.org/10.20944/preprints201910.0187.v1
Expand Down
1 change: 1 addition & 0 deletions doc/configtables/sector.csv
Original file line number Diff line number Diff line change
Expand Up @@ -66,6 +66,7 @@ boilers,--,"{true, false}",Add option for transforming gas into heat using gas b
resistive_heaters,--,"{true, false}",Add option for transforming electricity into heat using resistive heaters (independently from gas boilers)
oil_boilers,--,"{true, false}",Add option for transforming oil into heat using boilers
biomass_boiler,--,"{true, false}",Add option for transforming biomass into heat using boilers
overdimension_individual_heating,--,"float",Add option for overdimensioning individual heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1.
chp,--,"{true, false}",Add option for using Combined Heat and Power (CHP)
micro_chp,--,"{true, false}",Add option for using Combined Heat and Power (CHP) for decentral areas.
solar_thermal,--,"{true, false}",Add option for using solar thermal to generate heat.
Expand Down
13 changes: 13 additions & 0 deletions doc/release_notes.rst
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,19 @@ Release Notes
Upcoming Release
================

* Add new default to overdimension heating in individual buildings. This allows
them to cover heat demand peaks e.g. 10% higher than those in the data. The
disadvantage of manipulating the costs is that the capacity is then not quite
right. This way at least the costs are right.

* Add option to specify to set a default heating lifetime for existing heating
(``existing_capacities: default_heating_lifetime:``).

* Correctly source the existing heating technologies for buildings since the
source URL has changed. It represents the year 2012 and is only for
buildings, not district heating. So the capacities for urban central are now
set to zero from this source.

* Remove long-deprecated function ``attach_extendable_generators`` in :mod:`add_electricity`.

* The filtering of power plants in the ``config.default.yaml`` has been updated regarding phased-out power plants in 2023.
Expand Down
19 changes: 4 additions & 15 deletions scripts/add_existing_baseyear.py
Original file line number Diff line number Diff line change
Expand Up @@ -402,13 +402,6 @@ def add_heating_capacities_installed_before_baseyear(
"""
logger.debug(f"Adding heating capacities installed before {baseyear}")

# Add existing heating capacities, data comes from the study
# "Mapping and analyses of the current and future (2020 - 2030)
# heating/cooling fuel deployment (fossil/renewables) "
# https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1
# file: "WP2_DataAnnex_1_BuildingTechs_ForPublication_201603.xls" -> "existing_heating_raw.csv".
# TODO start from original file

existing_heating = pd.read_csv(
snakemake.input.existing_heating_distribution, header=[0, 1], index_col=0
)
Expand Down Expand Up @@ -436,7 +429,7 @@ def add_heating_capacities_installed_before_baseyear(
if int(grouping_year) + default_lifetime <= int(baseyear):
continue

# installation is assumed to be linear for the past 25 years (default lifetime)
# installation is assumed to be linear for the past default_lifetime years
ratio = (int(grouping_year) - int(grouping_years[i - 1])) / default_lifetime

n.madd(
Expand Down Expand Up @@ -543,12 +536,6 @@ def add_heating_capacities_installed_before_baseyear(
],
)

# drop assets which are at the end of their lifetime
links_i = n.links[(n.links.build_year + n.links.lifetime <= baseyear)].index
logger.info("Removing following links because at end of their lifetime:")
logger.info(links_i)
n.mremove("Link", links_i)


if __name__ == "__main__":
if "snakemake" not in globals():
Expand Down Expand Up @@ -605,7 +592,9 @@ def add_heating_capacities_installed_before_baseyear(
.to_pandas()
.reindex(index=n.snapshots)
)
default_lifetime = snakemake.params.costs["fill_values"]["lifetime"]
default_lifetime = snakemake.params.existing_capacities[
"default_heating_lifetime"
]
add_heating_capacities_installed_before_baseyear(
n,
baseyear,
Expand Down
18 changes: 13 additions & 5 deletions scripts/build_existing_heating_distribution.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,14 @@
def build_existing_heating():
# retrieve existing heating capacities

# Add existing heating capacities, data comes from the study
# "Mapping and analyses of the current and future (2020 - 2030)
# heating/cooling fuel deployment (fossil/renewables) "
# https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en
# file: "WP2_DataAnnex_1_BuildingTechs_ForPublication_201603.xls" -> "existing_heating_raw.csv".
# data is for buildings only (i.e. NOT district heating) and represents the year 2012
# TODO start from original file

existing_heating = pd.read_csv(
snakemake.input.existing_heating, index_col=0, header=0
)
Expand Down Expand Up @@ -67,17 +75,17 @@ def build_existing_heating():
nodal_sectoral_totals.sum(axis=1), axis=0
)

nodal_heat_name_fraction = pd.DataFrame(dtype=float)
nodal_heat_name_fraction = pd.DataFrame(index=district_heat_info.index, dtype=float)

nodal_heat_name_fraction["urban central"] = dist_fraction
nodal_heat_name_fraction["urban central"] = 0.0

for sector in sectors:
nodal_heat_name_fraction[f"{sector} rural"] = nodal_sectoral_fraction[
sector
] * (1 - urban_fraction)
nodal_heat_name_fraction[f"{sector} urban decentral"] = nodal_sectoral_fraction[
sector
] * (urban_fraction - dist_fraction)
nodal_heat_name_fraction[f"{sector} urban decentral"] = (
nodal_sectoral_fraction[sector] * urban_fraction
)

nodal_heat_name_tech = pd.concat(
{
Expand Down
22 changes: 16 additions & 6 deletions scripts/prepare_sector_network.py
Original file line number Diff line number Diff line change
Expand Up @@ -1680,6 +1680,8 @@ def add_heat(n, costs):

heat_demand = build_heat_demand(n)

overdim_factor = options["overdimension_individual_heating"]

district_heat_info = pd.read_csv(snakemake.input.district_heat_share, index_col=0)
dist_fraction = district_heat_info["district fraction of node"]
urban_fraction = district_heat_info["urban fraction"]
Expand Down Expand Up @@ -1814,7 +1816,8 @@ def add_heat(n, costs):
carrier=f"{name} {heat_pump_type} heat pump",
efficiency=efficiency,
capital_cost=costs.at[costs_name, "efficiency"]
* costs.at[costs_name, "fixed"],
* costs.at[costs_name, "fixed"]
* overdim_factor,
p_nom_extendable=True,
lifetime=costs.at[costs_name, "lifetime"],
)
Expand Down Expand Up @@ -1883,7 +1886,9 @@ def add_heat(n, costs):
bus1=nodes + f" {name} heat",
carrier=name + " resistive heater",
efficiency=costs.at[key, "efficiency"],
capital_cost=costs.at[key, "efficiency"] * costs.at[key, "fixed"],
capital_cost=costs.at[key, "efficiency"]
* costs.at[key, "fixed"]
* overdim_factor,
p_nom_extendable=True,
lifetime=costs.at[key, "lifetime"],
)
Expand All @@ -1901,7 +1906,9 @@ def add_heat(n, costs):
carrier=name + " gas boiler",
efficiency=costs.at[key, "efficiency"],
efficiency2=costs.at["gas", "CO2 intensity"],
capital_cost=costs.at[key, "efficiency"] * costs.at[key, "fixed"],
capital_cost=costs.at[key, "efficiency"]
* costs.at[key, "fixed"]
* overdim_factor,
lifetime=costs.at[key, "lifetime"],
)

Expand All @@ -1915,7 +1922,8 @@ def add_heat(n, costs):
bus=nodes + f" {name} heat",
carrier=name + " solar thermal",
p_nom_extendable=True,
capital_cost=costs.at[name_type + " solar thermal", "fixed"],
capital_cost=costs.at[name_type + " solar thermal", "fixed"]
* overdim_factor,
p_max_pu=solar_thermal[nodes],
lifetime=costs.at[name_type + " solar thermal", "lifetime"],
)
Expand Down Expand Up @@ -2348,7 +2356,8 @@ def add_biomass(n, costs):
carrier=name + " biomass boiler",
efficiency=costs.at["biomass boiler", "efficiency"],
capital_cost=costs.at["biomass boiler", "efficiency"]
* costs.at["biomass boiler", "fixed"],
* costs.at["biomass boiler", "fixed"]
* options["overdimension_individual_heating"],
marginal_cost=costs.at["biomass boiler", "pelletizing cost"],
lifetime=costs.at["biomass boiler", "lifetime"],
)
Expand Down Expand Up @@ -2806,7 +2815,8 @@ def add_industry(n, costs):
efficiency=costs.at["decentral oil boiler", "efficiency"],
efficiency2=costs.at["oil", "CO2 intensity"],
capital_cost=costs.at["decentral oil boiler", "efficiency"]
* costs.at["decentral oil boiler", "fixed"],
* costs.at["decentral oil boiler", "fixed"]
* options["overdimension_individual_heating"],
lifetime=costs.at["decentral oil boiler", "lifetime"],
)

Expand Down
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