scripts: annotate selected functions
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@ -95,6 +95,7 @@ import xarray as xr
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from _helpers import configure_logging, update_p_nom_max
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from powerplantmatching.export import map_country_bus
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from shapely.prepared import prep
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from typing import Dict, List
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idx = pd.IndexSlice
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@ -717,7 +718,17 @@ def attach_extendable_generators(n, costs, ppl, carriers):
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)
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def attach_OPSD_renewables(n, tech_map):
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def attach_OPSD_renewables(n: pypsa.Network, tech_map: Dict[str, List[str]]) -> None:
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"""
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Attach renewable capacities from the OPSD dataset to the network.
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Args:
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- n: The PyPSA network to attach the capacities to.
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- tech_map: A dictionary mapping fuel types to carrier names.
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Returns:
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- None
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"""
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tech_string = ", ".join(sum(tech_map.values(), []))
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logger.info(f"Using OPSD renewable capacities for carriers {tech_string}.")
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@ -742,7 +753,24 @@ def attach_OPSD_renewables(n, tech_map):
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n.generators.p_nom_min.update(gens.bus.map(caps).dropna())
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def estimate_renewable_capacities(n, year, tech_map, expansion_limit, countries):
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def estimate_renewable_capacities(
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n: pypsa.Network, year: int, tech_map: dict, expansion_limit: bool, countries: list
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) -> None:
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"""
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Estimate a different between renewable capacities in the network and reported country totals from IRENASTAT dataset. Distribute the difference with a heuristic.
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Heuristic: n.generators_t.p_max_pu.mean() * n.generators.p_nom_max
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Args:
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- n: The PyPSA network.
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- year: The year of optimisation.
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- tech_map: A dictionary mapping fuel types to carrier names.
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- expansion_limit: Boolean value from config file
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- countries: A list of country codes to estimate capacities for.
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Returns:
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- None
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"""
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if not len(countries) or not len(tech_map):
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return
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