set plot resolution to 300 dpi

Author: sebwehrle

03_postprocess_wtp.py

@@ -74,7 +74,7 @@
 axs.set_title("")
 axs.axis('off')
 plt.tight_layout()
-plt.savefig(figures_dir / f'map_soco_{data_ver}.png', dpi=200)
+plt.savefig(figures_dir / f'map_soco_{data_ver}.png', dpi=300)
 plt.close()
 
 fig, axs = plt.subplots(figsize=(7, 5))
@@ -84,7 +84,7 @@
 axs.set_title("")
 axs.axis('off')
 plt.tight_layout()
-plt.savefig(figures_dir / f'map_lcoe_{data_ver}.png', dpi=200)
+plt.savefig(figures_dir / f'map_lcoe_{data_ver}.png', dpi=300)
 plt.close()
 
 logging.info('Maps of Local Social Cost and LCOE plotted')
@@ -123,7 +123,7 @@
 plt.grid(alpha=0.4)
 ax.set_axisbelow(True)
 plt.tight_layout()
-plt.savefig(atlas.path / f'figures/dist_soco_{data_ver}.png', dpi=200)
+plt.savefig(atlas.path / f'figures/dist_soco_{data_ver}.png', dpi=300)
 plt.close()
 
 logging.info('Cost distributions plotted')
@@ -157,6 +157,6 @@
     fig.delaxes(axes[j])
 # Adjust layout
 plt.tight_layout()
-plt.savefig(atlas.path / f'figures/soco_facet{sens_name}.png', dpi=200)
+plt.savefig(atlas.path / f'figures/soco_facet{sens_name}.png', dpi=300)
 plt.close()
 logging.info("Facet of social cost variables plotted")

04_optimal_siting.py

@@ -20,7 +20,7 @@
         "Vestas.V100.1800", "Vestas.V100.2000", "Vestas.V112.3075"
     ]
 if 'capacity_factors' not in atlas.wind.data.data_vars:
-    atlas.wind.simulate_capacity_factors(bias_correction=0.71197)  # 0.71197
+    atlas.wind.simulate_capacity_factors(bias_correction=0.71197)
 if 'lcoe' not in atlas.wind.data.data_vars:
     atlas.wind.compute_lcoe(turbine_cost_share=0.7)
 if 'min_lcoe' not in atlas.wind.data.data_vars:

05_postprocess_sites.py

@@ -33,7 +33,7 @@
         "Vestas.V100.1800", "Vestas.V100.2000", "Vestas.V112.3075"
     ]
 if 'capacity_factors' not in atlas.wind.data.data_vars:
-    atlas.wind.simulate_capacity_factors(bias_correction=0.71197)  # 0.71197
+    atlas.wind.simulate_capacity_factors(bias_correction=0.71197)
 if 'lcoe' not in atlas.wind.data.data_vars:
     atlas.wind.compute_lcoe(turbine_cost_share=0.7)
 if 'min_lcoe' not in atlas.wind.data.data_vars:
@@ -131,7 +131,7 @@ def annual_cost(df):
     cx.add_basemap(ax, crs=state.crs, source=cx.providers.BasemapAT.terrain, zoom=10)
     ax.set_axis_off()
     plt.tight_layout()
-    plt.savefig(repo / f'figures/{filename}', dpi=200)
+    plt.savefig(repo / f'figures/{filename}', dpi=300)
     plt.close()
 
 logging.info('Maps of optimal wind turbine sites saved')
@@ -146,7 +146,7 @@ def annual_cost(df):
 ax.set_axisbelow(True)
 plt.legend(['Quasi-LCOE', 'Local Social Cost'], loc='upper left')
 plt.tight_layout()
-plt.savefig(repo / 'figures/cost_curve.png', dpi=200)
+plt.savefig(repo / 'figures/cost_curve.png', dpi=300)
 plt.close()
 
 logging.info('Social cost curve saved')