fix error in RsrInvCost

IIT-EnergySystemModels · Dec 9, 2023 · db78948 · db78948
1 parent 9f9ae4a
commit db78948
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/openTEPES/openTEPES_OutputResults.py b/openTEPES/openTEPES_OutputResults.py
@@ -1352,7 +1352,7 @@ def CostSummaryResults(DirName, CaseName, OptModel, mTEPES):
     if mTEPES.pIndHydroTopology == 1:
         RsrInvCost = pd.Series(data=[mTEPES.pDiscountedWeight[p] * sum(mTEPES.pRsrInvestCost[rc  ]                                                                * OptModel.vReservoirInvest [p,rc  ]()  for rc      in mTEPES.rn                                               )     for p in mTEPES.p], index=mTEPES.p).to_frame(name='Reservoir  Investment Cost').stack()
     else:
-        RsrInvCost = pd.Series(data=[0.0                                                                                                                                                                                                                                                              ], index=mTEPES.p).to_frame(name='Reservoir  Investment Cost').stack()
+        RsrInvCost = pd.Series(data=[0.0                                                                                                                                                                                                                                               for p in mTEPES.p], index=mTEPES.p).to_frame(name='Reservoir  Investment Cost').stack()
     NetInvCost     = pd.Series(data=[mTEPES.pDiscountedWeight[p] * sum(mTEPES.pNetFixedCost [lc  ]                                                                * OptModel.vNetworkInvest   [p,lc  ]()  for lc      in mTEPES.lc                                               )     for p in mTEPES.p], index=mTEPES.p).to_frame(name='Network    Investment Cost').stack()
     GenCost        = pd.Series(data=[mTEPES.pDiscountedWeight[p] * sum(mTEPES.pScenProb     [p,sc]()                                                              * OptModel.vTotalGCost      [p,sc,n]()  for sc,n    in mTEPES.sc*mTEPES.n           if mTEPES.pScenProb[p,sc]())     for p in mTEPES.p], index=mTEPES.p).to_frame(name='Generation  Operation Cost').stack()
     ConCost        = pd.Series(data=[mTEPES.pDiscountedWeight[p] * sum(mTEPES.pScenProb     [p,sc]()                                                              * OptModel.vTotalCCost      [p,sc,n]()  for sc,n    in mTEPES.sc*mTEPES.n           if mTEPES.pScenProb[p,sc]())     for p in mTEPES.p], index=mTEPES.p).to_frame(name='Consumption Operation Cost').stack()