013b705ee4
* Cluster first: build renewable profiles and add all assets after clustering * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * correction: pass landfall_lengths through functions * assign landfall_lenghts correctly * remove parameter add_land_use_constraint * fix network_dict * calculate distance to shoreline, remove underwater_fraction * adjust simplification parameter to exclude Crete from offshore wind connections * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove unused geth2015 hydro capacities * removing remaining traces of {simpl} wildcard * add release notes and update workflow graphics * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: lisazeyen <lisa.zeyen@web.de>
115 lines
3.4 KiB
Python
115 lines
3.4 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# SPDX-FileCopyrightText: : 2017-2024 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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import matplotlib.pyplot as plt
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import pypsa
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import seaborn as sns
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from _helpers import configure_logging, set_scenario_config
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sns.set_theme("paper", style="whitegrid")
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if __name__ == "__main__":
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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snakemake = mock_snakemake(
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"plot_elec_statistics",
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opts="Ept-12h",
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clusters="37",
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ll="v1.0",
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)
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configure_logging(snakemake)
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set_scenario_config(snakemake)
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n = pypsa.Network(snakemake.input.network)
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n.loads.carrier = "load"
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n.carriers.loc["load", ["nice_name", "color"]] = "Load", "darkred"
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colors = n.carriers.set_index("nice_name").color.where(
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lambda s: s != "", "lightgrey"
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)
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def rename_index(ds):
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specific = ds.index.map(lambda x: f"{x[1]}\n({x[0]})")
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generic = ds.index.get_level_values("carrier")
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duplicated = generic.duplicated(keep=False)
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index = specific.where(duplicated, generic)
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return ds.set_axis(index)
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def plot_static_per_carrier(ds, ax, drop_zero=True):
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if drop_zero:
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ds = ds[ds != 0]
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ds = ds.dropna()
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c = colors[ds.index.get_level_values("carrier")]
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ds = ds.pipe(rename_index)
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label = f"{ds.attrs['name']} [{ds.attrs['unit']}]"
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ds.plot.barh(color=c.values, xlabel=label, ax=ax)
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ax.grid(axis="y")
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fig, ax = plt.subplots()
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ds = n.statistics.capacity_factor().dropna()
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.capacity_factor_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.installed_capacity().dropna()
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ds = ds.drop("Line")
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ds = ds.drop(("Generator", "Load"), errors="ignore")
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ds = ds / 1e3
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ds.attrs["unit"] = "GW"
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.installed_capacity_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.optimal_capacity()
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ds = ds.drop("Line")
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ds = ds.drop(("Generator", "Load"), errors="ignore")
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ds = ds / 1e3
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ds.attrs["unit"] = "GW"
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.optimal_capacity_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.capex()
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.capital_expenditure_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.opex()
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.operational_expenditure_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.curtailment()
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.curtailment_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.supply()
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ds = ds.drop("Line")
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ds = ds / 1e6
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ds.attrs["unit"] = "TWh"
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.supply_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.withdrawal()
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ds = ds.drop("Line")
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ds = ds / -1e6
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ds.attrs["unit"] = "TWh"
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.withdrawal_bar)
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fig, ax = plt.subplots()
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ds = n.statistics.market_value()
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plot_static_per_carrier(ds, ax)
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fig.savefig(snakemake.output.market_value_bar)
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# touch file
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with open(snakemake.output.barplots_touch, "a"):
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pass
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