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#!/usr/bin/env python3 |
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# -*- coding: utf-8 -*- |
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# File description |
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""" |
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Created on Tue May 24 14:42:05 2022 |
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Plotdatascn.py defines functions to plot to provide a better context of the different parameters part of |
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scenarios eGon2035 and eGon100RE . |
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@author: Alonso |
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""" |
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import logging |
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import os |
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from matplotlib import pyplot as plt |
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import matplotlib as mpl |
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import pandas as pd |
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from math import sqrt, log10 |
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from pyproj import Proj, transform |
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from egon.data import db |
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import egon.data.config |
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import geopandas as gpd |
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import tilemapbase |
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from math import sqrt, log10 |
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from pyproj import Proj, transform |
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from matplotlib_scalebar.scalebar import ScaleBar |
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""" |
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Tilemapbase library could be necessary |
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to generate the figures |
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""" |
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logger = logging.getLogger(__name__) |
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if 'READTHEDOCS' not in os.environ: |
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from geoalchemy2.shape import to_shape |
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__copyright__ = ("Flensburg University of Applied Sciences, " |
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"Europa-Universität Flensburg, " |
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"Centre for Sustainable Energy Systems, " |
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"DLR-Institute for Networked Energy Systems") |
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__license__ = "" |
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__author__ = "" |
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def set_epsg_network(network): |
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""" |
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Change EPSG from 4326 to 3857. Needed when using osm-background. |
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Parameters |
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---------- |
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network : PyPSA network container |
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Returns |
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------- |
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""" |
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inProj = Proj(init='epsg:4326') |
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outProj = Proj(init='epsg:3857') |
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x1, y1 = network.buses.x.values, network.buses.y.values |
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x2, y2 = transform(inProj, outProj, x1, y1) |
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network.buses.x, network.buses.y = x2, y2 |
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network.epsg = 3857 |
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set_epsg_network.counter = set_epsg_network.counter + 1 |
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def plot_osm(x, y, zoom, alpha=0.4): |
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""" |
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Plots openstreetmap as background of network-plots |
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Parameters |
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---------- |
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x : array of two floats |
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Define x-axis boundaries (lat) of osm plot |
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y : array of two floats |
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Define y-axis boundaries (long) of osm plot |
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zoom : int |
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Define zoom of osm, higher values for higher resolution |
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alpha : float |
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Sets osm-visibility, increase value if osm covers network-plot |
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osm : bool or dict, e.g. {'x': [1,20], 'y': [47, 56], 'zoom' : 6} |
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If not False, osm is set as background |
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with the following settings as dict: |
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'x': array of two floats, x axis boundaries (lat) |
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'y': array of two floats, y axis boundaries (long) |
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'zoom' : resolution of osm. The default is False. |
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Returns |
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------- |
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""" |
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tilemapbase.init(create=True) |
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extent = tilemapbase.Extent.from_lonlat(x[0], x[1], y[0], y[1]) |
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extent = extent.to_aspect(1.0) |
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extent = extent.to_project_3857() |
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fig, ax = plt.subplots(1,1) |
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ax.set_zorder(1) |
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ax.add_artist(ScaleBar(1)) |
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plt.axis('off') |
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plotter = tilemapbase.Plotter(extent, tilemapbase.tiles.build_OSM(), |
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zoom=zoom) |
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plotter.plot(ax, alpha=alpha) |
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#ax.plot(x, y, "ro-") |
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return fig, ax |
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def plot_generation( |
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carrier,scenario, osm = False |
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): |
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""" |
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Plots color maps according to the capacity of different generators |
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of the two existing scenarios (eGon2035 and eGon100RE) |
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Parameters |
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---------- |
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carrier : generators |
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The list of generators: biomass, central_biomass_CHP, central_biomass_CHP_heat, |
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industrial_biomass_CHP, solar, solar_rooftop, wind_offshore, wind_onshore. |
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scenario: eGon2035, eGon100RE |
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""" |
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con = db.engine() |
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#imports buses of Germany |
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SQLBus = "SELECT bus_id, country FROM grid.egon_etrago_bus WHERE country='DE'" |
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busDE = pd.read_sql(SQLBus,con) |
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busDE = busDE.rename({'bus_id': 'bus'},axis=1) |
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#Imports grid districs |
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sql = "SELECT bus_id, geom FROM grid.egon_mv_grid_district" |
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distr = gpd.GeoDataFrame.from_postgis(sql, con) |
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distr = distr.rename({'bus_id': 'bus'},axis=1) |
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distr = distr.set_index("bus") |
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#merges grid districts with buses |
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distr = pd.merge(busDE, distr, on='bus') |
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#Imports generator |
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sqlCarrier = "SELECT carrier, p_nom, bus FROM grid.egon_etrago_generator" |
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sqlCarrier = "SELECT * FROM grid.egon_etrago_generator" |
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Carriers = pd.read_sql(sqlCarrier,con) |
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Carriers = Carriers.loc[Carriers['scn_name'] == scenario] |
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Carriers = Carriers.set_index("bus") |
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CarrierGen = Carriers.loc[Carriers['carrier'] == carrier] |
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#merges districts with generators |
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Merge = pd.merge(CarrierGen, distr, on ='bus', how="outer") |
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Merge.loc[Merge ['carrier'] != carrier, "p_nom" ] = 0 |
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Merge.loc[Merge ['country'] != "DE", "p_nom" ] = 0 |
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gdf = gpd.GeoDataFrame(Merge , geometry='geom') |
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pnom=gdf['p_nom'] # |
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#0.95 quantile is used to filter values that are too high and make noise in the plots. |
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max_pnom=pnom.quantile(0.95) |
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gdf = gdf.to_crs(epsg=3857) |
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# Plot osm map in background |
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if osm != False: |
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#if network.srid == 4326: |
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#set_epsg_network(network) |
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fig, ax = plot_osm(osm['x'], osm['y'], osm['zoom']) |
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else: |
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fig, ax = plt.subplots(1, 1) |
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ax.set_axis_off(); |
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plt.title(f" {carrier} installed capacity in MW , {scenario}") |
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cmap = mpl.cm.coolwarm |
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norm = mpl.colors.Normalize(vmin=0, vmax=max_pnom) |
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gdf.plot(column='p_nom', ax=ax, legend=False, legend_kwds={'label': "p_nom(MW)", |
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'orientation': "vertical"}, cmap=cmap, norm=norm, edgecolor='black', linewidth=0.1,zorder=2) |
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scatter = ax.collections[0] |
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cbar=plt.colorbar(scatter, ax=ax, extend='max') |
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cbar.set_label('p_nom(MW)', rotation=90) |
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return 0 |
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openego /
eGon-data
