Merge branch 'master' into voronoi
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commit
a4132919a0
@ -37,6 +37,7 @@ dependencies:
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- pyomo
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- pyomo
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- matplotlib
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- matplotlib
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- proj
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- proj
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- fiona <= 1.18.20 # Till issue https://github.com/Toblerity/Fiona/issues/1085 is not solved
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# Keep in conda environment when calling ipython
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# Keep in conda environment when calling ipython
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- ipython
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- ipython
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@ -120,7 +120,7 @@ def load_network_for_plots(fn, tech_costs, config, combine_hydro_ps=True):
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# n.storage_units.loc[bus_carrier == "heat","carrier"] = "water tanks"
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# n.storage_units.loc[bus_carrier == "heat","carrier"] = "water tanks"
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Nyears = n.snapshot_weightings.objective.sum() / 8760.
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Nyears = n.snapshot_weightings.objective.sum() / 8760.
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costs = load_costs(Nyears, tech_costs, config['costs'], config['electricity'])
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costs = load_costs(tech_costs, config['costs'], config['electricity'], Nyears)
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update_transmission_costs(n, costs)
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update_transmission_costs(n, costs)
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return n
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return n
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@ -20,8 +20,7 @@ Description
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"""
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"""
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import logging
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import logging
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from _helpers import (retrieve_snakemake_keys, load_network_for_plots,
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from _helpers import (load_network_for_plots, aggregate_p, aggregate_costs, configure_logging)
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aggregate_p, aggregate_costs, configure_logging)
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import pandas as pd
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import pandas as pd
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import numpy as np
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import numpy as np
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@ -75,7 +74,7 @@ def set_plot_style():
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}])
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}])
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def plot_map(n, ax=None, attribute='p_nom', opts={}):
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def plot_map(n, opts, ax=None, attribute='p_nom'):
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if ax is None:
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if ax is None:
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ax = plt.gca()
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ax = plt.gca()
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@ -182,7 +181,7 @@ def plot_map(n, ax=None, attribute='p_nom', opts={}):
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return fig
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return fig
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def plot_total_energy_pie(n, ax=None):
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def plot_total_energy_pie(n, opts, ax=None):
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if ax is None: ax = plt.gca()
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if ax is None: ax = plt.gca()
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ax.set_title('Energy per technology', fontdict=dict(fontsize="medium"))
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ax.set_title('Energy per technology', fontdict=dict(fontsize="medium"))
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@ -200,7 +199,7 @@ def plot_total_energy_pie(n, ax=None):
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t1.remove()
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t1.remove()
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t2.remove()
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t2.remove()
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def plot_total_cost_bar(n, ax=None):
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def plot_total_cost_bar(n, opts, ax=None):
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if ax is None: ax = plt.gca()
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if ax is None: ax = plt.gca()
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total_load = (n.snapshot_weightings.generators * n.loads_t.p.sum(axis=1)).sum()
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total_load = (n.snapshot_weightings.generators * n.loads_t.p.sum(axis=1)).sum()
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@ -259,25 +258,25 @@ if __name__ == "__main__":
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set_plot_style()
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set_plot_style()
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paths, config, wildcards, logs, out = retrieve_snakemake_keys(snakemake)
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config, wildcards = snakemake.config, snakemake.wildcards
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map_figsize = config['map']['figsize']
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map_figsize = config["plotting"]['map']['figsize']
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map_boundaries = config['map']['boundaries']
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map_boundaries = config["plotting"]['map']['boundaries']
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n = load_network_for_plots(paths.network, paths.tech_costs, config)
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n = load_network_for_plots(snakemake.input.network, snakemake.input.tech_costs, config)
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scenario_opts = wildcards.opts.split('-')
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scenario_opts = wildcards.opts.split('-')
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fig, ax = plt.subplots(figsize=map_figsize, subplot_kw={"projection": ccrs.PlateCarree()})
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fig, ax = plt.subplots(figsize=map_figsize, subplot_kw={"projection": ccrs.PlateCarree()})
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plot_map(n, ax, wildcards.attr, config)
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plot_map(n, config["plotting"], ax=ax, attribute=wildcards.attr)
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fig.savefig(out.only_map, dpi=150, bbox_inches='tight')
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fig.savefig(snakemake.output.only_map, dpi=150, bbox_inches='tight')
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ax1 = fig.add_axes([-0.115, 0.625, 0.2, 0.2])
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ax1 = fig.add_axes([-0.115, 0.625, 0.2, 0.2])
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plot_total_energy_pie(n, ax1)
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plot_total_energy_pie(n, config["plotting"], ax=ax1)
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ax2 = fig.add_axes([-0.075, 0.1, 0.1, 0.45])
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ax2 = fig.add_axes([-0.075, 0.1, 0.1, 0.45])
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plot_total_cost_bar(n, ax2)
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plot_total_cost_bar(n, config["plotting"], ax=ax2)
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ll = wildcards.ll
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ll = wildcards.ll
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ll_type = ll[0]
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ll_type = ll[0]
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@ -287,4 +286,4 @@ if __name__ == "__main__":
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fig.suptitle('Expansion to {amount} {label} at {clusters} clusters'
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fig.suptitle('Expansion to {amount} {label} at {clusters} clusters'
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.format(amount=amnt, label=lbl, clusters=wildcards.clusters))
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.format(amount=amnt, label=lbl, clusters=wildcards.clusters))
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fig.savefig(out.ext, transparent=True, bbox_inches='tight')
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fig.savefig(snakemake.output.ext, transparent=True, bbox_inches='tight')
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