diff --git a/doc/release_notes.rst b/doc/release_notes.rst index 2636ea31..5ceea76d 100644 --- a/doc/release_notes.rst +++ b/doc/release_notes.rst @@ -73,6 +73,10 @@ Upcoming Release * A new section ``conventional`` was added to the config file. This section contains configurations for conventional carriers. Using the ``energy_availibility_factor`` key, the ``p_max_pu`` values for conventional power plants can be defined. +* Fix crs bug. Change crs 4236 to 4326. + +* Update rasterio version to correctly calculate exclusion raster + Synchronisation Release - Ukraine and Moldova (17th March 2022) =============================================================== diff --git a/doc/tutorial.rst b/doc/tutorial.rst index 76970aff..c37abb39 100644 --- a/doc/tutorial.rst +++ b/doc/tutorial.rst @@ -43,7 +43,7 @@ For more information on the data dependencies of PyPSA-Eur, continue reading :re How to customise PyPSA-Eur? =========================== -The model can be adapted to only include selected countries (e.g. Germany) instead of all European countries to limit the spatial scope. +The model can be adapted to only include selected countries (e.g. Belgium) instead of all European countries to limit the spatial scope. .. literalinclude:: ../config.tutorial.yaml :language: yaml diff --git a/envs/environment.yaml b/envs/environment.yaml index 9c50d8dd..0c636edc 100644 --- a/envs/environment.yaml +++ b/envs/environment.yaml @@ -24,6 +24,7 @@ dependencies: - yaml - pytables - lxml + - powerplantmatching>=0.5.3 - numpy - pandas - geopandas @@ -45,7 +46,7 @@ dependencies: # GIS dependencies: - cartopy - descartes - - rasterio + - rasterio<=1.2.9 # 1.2.10 creates error https://github.com/PyPSA/atlite/issues/238 # PyPSA-Eur-Sec Dependencies - geopy diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py index 992c0b3d..24027162 100755 --- a/scripts/add_electricity.py +++ b/scripts/add_electricity.py @@ -94,7 +94,6 @@ import geopandas as gpd import powerplantmatching as pm from powerplantmatching.export import map_country_bus -from vresutils.costdata import annuity from vresutils import transfer as vtransfer idx = pd.IndexSlice @@ -105,6 +104,18 @@ logger = logging.getLogger(__name__) def normed(s): return s/s.sum() +def calculate_annuity(n, r): + """Calculate the annuity factor for an asset with lifetime n years and + discount rate of r, e.g. annuity(20, 0.05) * 20 = 1.6""" + + if isinstance(r, pd.Series): + return pd.Series(1/n, index=r.index).where(r == 0, r/(1. - 1./(1.+r)**n)) + elif r > 0: + return r / (1. - 1./(1.+r)**n) + else: + return 1 / n + + def _add_missing_carriers_from_costs(n, costs, carriers): missing_carriers = pd.Index(carriers).difference(n.carriers.index) if missing_carriers.empty: return @@ -138,7 +149,7 @@ def load_costs(tech_costs, config, elec_config, Nyears=1.): "investment" : 0, "lifetime" : 25}) - costs["capital_cost"] = ((annuity(costs["lifetime"], costs["discount rate"]) + + costs["capital_cost"] = ((calculate_annuity(costs["lifetime"], costs["discount rate"]) + costs["FOM"]/100.) * costs["investment"] * Nyears) diff --git a/scripts/build_renewable_profiles.py b/scripts/build_renewable_profiles.py index a2b2eda6..41e1b54d 100644 --- a/scripts/build_renewable_profiles.py +++ b/scripts/build_renewable_profiles.py @@ -240,7 +240,7 @@ if __name__ == '__main__': # use named function np.greater with partially frozen argument instead # and exclude areas where: -max_depth > grid cell depth func = functools.partial(np.greater,-config['max_depth']) - excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000) + excluder.add_raster(snakemake.input.gebco, codes=func, crs=4326, nodata=-1000) if 'min_shore_distance' in config: buffer = config['min_shore_distance'] diff --git a/scripts/make_summary.py b/scripts/make_summary.py index af1ecf36..c070d33f 100644 --- a/scripts/make_summary.py +++ b/scripts/make_summary.py @@ -171,6 +171,9 @@ def calculate_capacity(n,label,capacity): if 'p_nom_opt' in c.df.columns: c_capacities = abs(c.df.p_nom_opt.multiply(c.df.sign)).groupby(c.df.carrier).sum() capacity = include_in_summary(capacity, [c.list_name], label, c_capacities) + elif 'e_nom_opt' in c.df.columns: + c_capacities = abs(c.df.e_nom_opt.multiply(c.df.sign)).groupby(c.df.carrier).sum() + capacity = include_in_summary(capacity, [c.list_name], label, c_capacities) for c in n.iterate_components(n.passive_branch_components): c_capacities = c.df['s_nom_opt'].groupby(c.df.carrier).sum() @@ -185,11 +188,11 @@ def calculate_capacity(n,label,capacity): def calculate_supply(n, label, supply): """calculate the max dispatch of each component at the buses where the loads are attached""" - load_types = n.loads.carrier.value_counts().index + load_types = n.buses.carrier.unique() for i in load_types: - buses = n.loads.bus[n.loads.carrier == i].values + buses = n.buses.query("carrier == @i").index bus_map = pd.Series(False,index=n.buses.index) @@ -232,11 +235,11 @@ def calculate_supply(n, label, supply): def calculate_supply_energy(n, label, supply_energy): """calculate the total dispatch of each component at the buses where the loads are attached""" - load_types = n.loads.carrier.value_counts().index + load_types = n.buses.carrier.unique() for i in load_types: - buses = n.loads.bus[n.loads.carrier == i].values + buses = n.buses.query("carrier == @i").index bus_map = pd.Series(False,index=n.buses.index)