color adaptations, new features
This commit is contained in:
Fabian Neumann
parent
c754f253bc
commit
a8171ec9f3
@ -478,7 +478,8 @@ rule prepare_sector_network:
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rule plot_network:
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input:
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overrides="data/override_component_attrs",
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network=RDIR + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc"
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network=RDIR + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
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regions='../pypsa-eur/resources/regions_onshore_elec_s{simpl}_{clusters}.geojson'
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output:
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map=RDIR + "/maps/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}-costs-all_{planning_horizons}.pdf",
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today=RDIR + "/maps/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}-today.pdf"
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@ -42,9 +42,7 @@ def mock_snakemake(rulename, **wildcards):
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This function is expected to be executed from the 'scripts'-directory of '
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the snakemake project. It returns a snakemake.script.Snakemake object,
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based on the Snakefile.
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If a rule has wildcards, you have to specify them in **wildcards.
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Parameters
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----------
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rulename: str
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@ -2,6 +2,7 @@ import pypsa
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import numpy as np
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import pandas as pd
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import geopandas as gpd
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import matplotlib.pyplot as plt
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import cartopy.crs as ccrs
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@ -63,7 +64,6 @@ def add_legend_circles(ax, sizes, labels, scale=1, srid=None, patch_kw={}, legen
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if srid is not None:
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area_correction = projected_area_factor(ax, n.srid)**2
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print(area_correction)
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sizes = [s * area_correction for s in sizes]
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handles = make_legend_circles_for(sizes, scale, **patch_kw)
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@ -113,7 +113,9 @@ def assign_location(n):
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def plot_map(network, components=["links", "stores", "storage_units", "generators"],
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bus_size_factor=1.7e10, transmission=False):
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bus_size_factor=1.7e10, transmission=False, with_legend=True):
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tech_colors = snakemake.config['plotting']['tech_colors']
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tech_colors = snakemake.config['plotting']['tech_colors']
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@ -174,9 +176,9 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
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# PDF has minimum width, so set these to zero
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line_lower_threshold = 500.
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line_upper_threshold = 1e4
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linewidth_factor = 2e3
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ac_color = "gray"
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dc_color = "m"
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linewidth_factor = 4e3
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ac_color = "rosybrown"
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dc_color = "darkseagreen"
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if snakemake.wildcards["lv"] == "1.0":
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# should be zero
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@ -221,6 +223,7 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
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sizes = [20, 10, 5]
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labels = [f"{s} bEUR/a" for s in sizes]
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sizes = [s/bus_size_factor*1e9 for s in sizes]
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legend_kw = dict(
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loc="upper left",
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@ -235,7 +238,6 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
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ax,
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sizes,
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labels,
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scale=bus_size_factor/1e9,
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srid=n.srid,
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patch_kw=dict(facecolor="lightgrey"),
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legend_kw=legend_kw
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@ -267,15 +269,17 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
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frameon=False,
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)
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colors = [tech_colors[c] for c in carriers] + [ac_color, dc_color]
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labels = carriers + ["HVAC line", "HVDC link"]
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if with_legend:
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add_legend_patches(
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ax,
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colors,
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labels,
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legend_kw=legend_kw,
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)
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colors = [tech_colors[c] for c in carriers] + [ac_color, dc_color]
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labels = carriers + ["HVAC line", "HVDC link"]
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add_legend_patches(
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ax,
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colors,
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labels,
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legend_kw=legend_kw,
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)
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fig.savefig(
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snakemake.output.map,
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@ -284,7 +288,7 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
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)
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def plot_h2_map(network):
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def plot_h2_map(network, regions):
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tech_colors = snakemake.config['plotting']['tech_colors']
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@ -294,6 +298,10 @@ def plot_h2_map(network):
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assign_location(n)
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h2_storage = n.stores.query("carrier == 'H2'")
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regions["H2"] = h2_storage.rename(index=h2_storage.bus.map(n.buses.location)).e_nom_opt.div(1e6) # TWh
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regions["H2"] = regions["H2"].where(regions["H2"] > 0.1)
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bus_size_factor = 1e5
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linewidth_factor = 1e4
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# MW below which not drawn
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@ -356,17 +364,20 @@ def plot_h2_map(network):
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n.links.bus0 = n.links.bus0.str.replace(" H2", "")
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n.links.bus1 = n.links.bus1.str.replace(" H2", "")
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proj = ccrs.EqualEarth()
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regions = regions.to_crs(proj.proj4_init)
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fig, ax = plt.subplots(
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figsize=(7, 6),
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subplot_kw={"projection": ccrs.EqualEarth()}
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subplot_kw={"projection": proj}
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)
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color_h2_pipe = '#b3f3f4'
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color_retrofit = '#54cacd'
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color_retrofit = '#499a9c'
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bus_colors = {
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"H2 Electrolysis": "#ff29d9",
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"H2 Fuel Cell": "#6b3161",
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"H2 Fuel Cell": '#805394'
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}
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n.plot(
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@ -391,8 +402,24 @@ def plot_h2_map(network):
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boundaries=map_opts["boundaries"]
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)
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regions.plot(
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ax=ax,
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column="H2",
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cmap='Blues',
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linewidths=0,
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legend=True,
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vmax=10,
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vmin=0,
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legend_kwds={
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"label": "Hydrogen Storage [TWh]",
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"shrink": 0.7,
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"extend": "max",
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},
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)
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sizes = [50, 10]
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labels = [f"{s} GW" for s in sizes]
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sizes = [s/bus_size_factor*1e3 for s in sizes]
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legend_kw = dict(
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loc="upper left",
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@ -403,7 +430,6 @@ def plot_h2_map(network):
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)
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add_legend_circles(ax, sizes, labels,
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scale=bus_size_factor/1e3,
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srid=n.srid,
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patch_kw=dict(facecolor='lightgrey'),
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legend_kw=legend_kw
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@ -446,6 +472,9 @@ def plot_h2_map(network):
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legend_kw=legend_kw
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)
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plt.gca().outline_patch.set_visible(False)
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ax.set_facecolor("white")
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fig.savefig(
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snakemake.output.map.replace("-costs-all","-h2_network"),
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bbox_inches="tight"
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@ -561,6 +590,7 @@ def plot_ch4_map(network):
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sizes = [100, 10]
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labels = [f"{s} TWh" for s in sizes]
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sizes = [s/bus_size_factor*1e6 for s in sizes]
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legend_kw = dict(
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loc="upper left",
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@ -575,7 +605,6 @@ def plot_ch4_map(network):
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ax,
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sizes,
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labels,
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scale=bus_size_factor/1e6,
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srid=n.srid,
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patch_kw=dict(facecolor='lightgrey'),
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legend_kw=legend_kw,
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@ -648,8 +677,8 @@ def plot_map_without(network):
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line_lower_threshold = 200.
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line_upper_threshold = 1e4
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linewidth_factor = 3e3
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ac_color = "gray"
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dc_color = "m"
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ac_color = "rosybrown"
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dc_color = "darkseagreen"
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# hack because impossible to drop buses...
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if "EU gas" in n.buses.index:
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@ -846,6 +875,8 @@ if __name__ == "__main__":
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overrides = override_component_attrs(snakemake.input.overrides)
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n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides)
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regions = gpd.read_file(snakemake.input.regions).set_index("name")
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map_opts = snakemake.config['plotting']['map']
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plot_map(n,
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@ -854,7 +885,7 @@ if __name__ == "__main__":
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transmission=False
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)
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plot_h2_map(n)
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plot_h2_map(n, regions)
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plot_ch4_map(n)
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plot_map_without(n)
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