add existing wind and solar capacities based on IRENASTATS
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@ -58,10 +58,20 @@ electricity:
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conventional_carriers: [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
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renewable_capacities_from_OPSD: [] # onwind, offwind, solar
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# estimate_renewable_capacities_from_capacity_stats:
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# # Wind is the Fueltype in ppm.data.Capacity_stats, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
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# Wind: [onwind, offwind-ac, offwind-dc]
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# Solar: [solar]
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estimate_renewable_capacities:
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# Renewable capacities are based on existing capacities reported by IRENA
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# Reference year, any of 2000 to 2020
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year: 2020
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# Artificially limit maximum capacities to factor * (IRENA capacities),
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# i.e. 110% of <years>'s capacities => expansion_limit: 1.1
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# false: Use estimated renewable potentials determine by the workflow
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expansion_limit: false
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technology_mapping:
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# Wind is the Fueltype in ppm.data.Capacity_stats, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
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Offshore: [offwind-ac, offwind-dc]
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Onshore: [onwind]
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PV: [solar]
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atlite:
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nprocesses: 4
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@ -7,6 +7,26 @@
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Release Notes
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##########################################
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Energy Security Release (April 2022)
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====================================
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**New Features and Changes**
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* Added existing renewable capacities for all countries based on IRENA statistics (IRENASTAT) using new ``powerplantmatching`` version:
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* Configuration of reference year for capacities can be configured (default: ``2020``)
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* Uniform expansion limit of renewable build-up based on existing capacities can be configured using ``expansion_limit`` option
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(default: ``false``; limited to determined renewable potentials)
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* Distribution of country-level capacities proportional to maximum annual energy yield for each bus region
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* This functionality was previously using OPSD data.
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* The corresponding ``config`` entries changed, cf. ``config.default.yaml``:
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* old: ``estimate_renewable_capacities_from_capacity_stats``
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* new: ``estimate_renewable_capacities``
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**Bugs and Compatibility**
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* ``powerplantmatching>=0.5.1`` is now required for ``IRENASTATS``.
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Synchronisation Release - Ukraine and Moldova (17th March 2022)
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===============================================================
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@ -24,7 +24,7 @@ dependencies:
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- yaml
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- pytables
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- lxml
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- powerplantmatching>=0.4.8
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- powerplantmatching>=0.5.1
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- numpy
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- pandas
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- geopandas
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@ -1,4 +1,4 @@
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# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors
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# SPDX-FileCopyrightText: : 2017-2022 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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@ -491,29 +491,29 @@ def attach_OPSD_renewables(n, techs):
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def estimate_renewable_capacities(n, tech_map):
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def estimate_renewable_capacities(n, config):
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if len(tech_map) == 0: return
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capacities = (pm.data.Capacity_stats().powerplant.convert_country_to_alpha2()
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[lambda df: df.Energy_Source_Level_2]
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.set_index(['Fueltype', 'Country']).sort_index())
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countries = n.buses.country.unique()
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if not config["electricity"]["estimate_renewable_capacities"]: return
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year = config["electricity"]["estimate_renewable_capacities"]["year"]
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tech_map = config["electricity"]["estimate_renewable_capacities"]["technology_mapping"]
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tech_keys = list(tech_map.keys())
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countries = config["countries"]
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expansion_limit = config["electricity"]["estimate_renewable_capacities"]["expansion_limit"]
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if len(countries) == 0: return
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if len(tech_map) == 0: return
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logger.info('heuristics applied to distribute renewable capacities [MW] \n{}'
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.format(capacities.query('Fueltype in @tech_map.keys() and Capacity >= 0.1')
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.groupby('Country').agg({'Capacity': 'sum'})))
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capacities = pm.data.IRENASTAT().powerplant.convert_country_to_alpha2()
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capacities = capacities.query("Year == @year and Technology in @tech_keys and Country in @countries")
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capacities = capacities.groupby(["Technology", "Country"]).Capacity.sum()
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for ppm_fueltype, techs in tech_map.items():
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tech_capacities = capacities.loc[ppm_fueltype, 'Capacity']\
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.reindex(countries, fill_value=0.)
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#tech_i = n.generators.query('carrier in @techs').index
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tech_i = (n.generators.query('carrier in @techs')
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[n.generators.query('carrier in @techs')
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.bus.map(n.buses.country).isin(countries)].index)
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logger.info(f"Heuristics applied to distribute renewable capacities [MW] "
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f"{capacities.groupby('Country').sum()}")
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for ppm_technology, techs in tech_map.items():
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tech_capacities = capacities.loc[ppm_technology].reindex(countries, fill_value=0.)
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tech_i = n.generators.query('carrier in @techs').index
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n.generators.loc[tech_i, 'p_nom'] = (
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(n.generators_t.p_max_pu[tech_i].mean() *
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n.generators.loc[tech_i, 'p_nom_max']) # maximal yearly generation
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@ -522,6 +522,11 @@ def estimate_renewable_capacities(n, tech_map):
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.where(lambda s: s>0.1, 0.)) # only capacities above 100kW
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n.generators.loc[tech_i, 'p_nom_min'] = n.generators.loc[tech_i, 'p_nom']
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if expansion_limit:
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assert np.isscalar(expansion_limit)
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logger.info(f"Reducing capacity expansion limit to {expansion_limit*100:.2f}% of installed capacity.")
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n.generators.loc[tech_i, 'p_nom_max'] = float(expansion_limit) * n.generators.loc[tech_i, 'p_nom_min']
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def add_nice_carrier_names(n, config):
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carrier_i = n.carriers.index
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@ -565,11 +570,9 @@ if __name__ == "__main__":
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carriers = snakemake.config['electricity']['extendable_carriers']['Generator']
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attach_extendable_generators(n, costs, ppl, carriers)
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tech_map = snakemake.config['electricity'].get('estimate_renewable_capacities_from_capacity_stats', {})
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estimate_renewable_capacities(n, tech_map)
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estimate_renewable_capacities(n, snakemake.config)
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techs = snakemake.config['electricity'].get('renewable_capacities_from_OPSD', [])
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attach_OPSD_renewables(n, techs)
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update_p_nom_max(n)
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add_nice_carrier_names(n, snakemake.config)
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