Export energy costs per period

Author: josiahjohnston

examples/copperplate0/outputs/electricity_cost.csv

@@ -0,0 +1,2 @@
+PERIOD,EnergyCost_per_MWh,SystemCostPerPeriod
+2020,49.6695083562,18504623.6857

switch_model/financials.py

@@ -7,6 +7,7 @@
 """
 from pyomo.environ import *
 import os
+import pandas as pd
 
 dependencies = 'switch_model.timescales'
 
@@ -305,3 +306,19 @@ def load_inputs(mod, switch_data, inputs_dir):
     base_financial_year, interest_rate and optionally discount_rate.
     """
     switch_data.load(filename=os.path.join(inputs_dir, 'financials.dat'))
+
+def post_solve(instance, outdir):
+    mod = instance
+    normalized_dat = [
+        {
+        	"PERIOD": p,
+        	"SystemCostPerPeriod": value(mod.SystemCostPerPeriod[p]),
+        	"EnergyCost_per_MWh": value(
+        	    mod.SystemCostPerPeriod[p] / 
+        	    sum(mod.zone_total_demand_in_period_mwh[z,p] for z in mod.LOAD_ZONES)
+        	)
+        } for p in mod.PERIODS
+    ]
+    df = pd.DataFrame(normalized_dat)
+    df.set_index(["PERIOD"], inplace=True)
+    df.to_csv(os.path.join(outdir, "electricity_cost.csv"))

switch_model/transmission/transport/build.py

@@ -366,4 +366,3 @@ def post_solve(instance, outdir):
     tx_build_df = pd.DataFrame(normalized_dat)
     tx_build_df.set_index(["TRANSMISSION_LINE", "PERIOD"], inplace=True)
     tx_build_df.to_csv(os.path.join(outdir, "transmission.csv"))
-