optimizes a single year

config.yml

@@ -1,18 +1,18 @@
 state_abbr: 'IL'
-version: "9.0"
-scenario: "export_and_growth_0pct"
+version: "10.0"
+scenario: "test_single_year"
 
 solver: 'cplex'  # 'cplex','highs','gurobi'
 geo_res: 'rto'  # accepts: 'rto' or 'county'
 time_res: 4  # hours 
 load_filter: 60e3  # MW, load above this level will be removed as outliers.
-# total_demand: 185e6  # Annual MWh in the first year
-total_demand: 136e6  # Annual MWh in the first year
+total_demand: 185e6  # Annual MWh in the first year
+# total_demand: 136e6  # Annual MWh in the first year
 load_growth: 0.00  # % annual growth
 random_seed: 1234
 
-model_years: [2025, 2030, 2035, 2040, 2045]
-# model_years: [2025]
+# model_years: [2025, 2030, 2035, 2040, 2045]
+model_years: [2025]
 plot_year: 2025
 
 co2_limits:
@@ -48,10 +48,10 @@ capacity_max:
     # 2025: 114
     2025: 18
 
-solar_years: [2016,2017,2018,2019,2020]  # NSRDB only accepts years 1998-2020
-wind_years: [2009,2010,2011,2012,2013]  # WTK only goes from 2009-2013
-# solar_years: [2016]  # NSRDB only accepts years 1998-2020
-# wind_years: [2009]  # WTK only goes from 2009-2013
+# solar_years: [2016,2017,2018,2019,2020]  # NSRDB only accepts years 1998-2020
+# wind_years: [2009,2010,2011,2012,2013]  # WTK only goes from 2009-2013
+solar_years: [2017]  # NSRDB only accepts years 1998-2020
+wind_years: [2009]  # WTK only goes from 2009-2013
 load_year: 2019
 fuel_cost_year: 2023
 

scripts/add_electricity.py

@@ -502,7 +502,7 @@ def add_capacity_max(n):
 
 
     # add energy constraints
-    add_retirements(n)
+    # add_retirements(n)
 
     # add capacity constraints
     add_capacity_max(n)

scripts/plot_results.py

@@ -173,16 +173,22 @@ def plot_monthly_generation(n, time_res, model_years):
 
     color = p_by_carrier.columns.map(n.carriers.color)
 
-    fig, ax = plt.subplots(1,len(model_years), figsize=(16, 8), sharey=True)
-    for i, year in enumerate(model_years):
-        p_by_carrier.loc[str(year)].plot.area(ax=ax[i],
+    if len(model_years) > 1:
+        fig, ax = plt.subplots(1,len(model_years), figsize=(16, 8), sharey=True)
+        for i, year in enumerate(model_years):
+            p_by_carrier.loc[str(year)].plot.area(ax=ax[i],
+                                    color=color,
+                                    fontsize=16, )
+
+            ax[i].set_xlabel('')
+
+        plt.tight_layout()
+        plt.subplots_adjust(wspace=0, hspace=0)
+    else:
+        fig, ax = plt.subplots(figsize=(12,8))
+        p_by_carrier.plot.area(ax=ax,
                                 color=color,
                                 fontsize=16, )
-
-        ax[i].set_xlabel('')
-
-    plt.tight_layout()
-    plt.subplots_adjust(wspace=0, hspace=0)
     return fig, ax