Upload 3 files

Input_Jahr_2021.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c4ef37909db51eea482b585b2d38496735c11b680d8553d528e9e1089bb48a2
-size 995439
+oid sha256:c92d04350980ce78a44f5ce2cc57fef81682eb12247d80b9f89bed4954302d7d
+size 995396

app.py

@@ -70,7 +70,6 @@ iConv = sets_dict['iConv']
 iPtG = sets_dict['iPtG']
 iRes = sets_dict['iRes']
 iHyRes = sets_dict['iHyRes']
-iChar = sets_dict['iChar']
 
 # Unpack params_dict into the workspace
 l_co2 = params_dict['l_co2']
@@ -251,8 +250,8 @@ with colb1:
     fig    
 
 # %%
-df_charging = m.solution['y_ch'].sel(i = iChar).to_dataframe().reset_index()
-fig = px.area(m.solution['y_ch'].sel(i = iChar).to_dataframe().reset_index(), y='y_ch', x='t',  title='Storage charging', color='i')
+df_charging = m.solution['y_ch'].sel(i = iSto).to_dataframe().reset_index()
+fig = px.area(m.solution['y_ch'].sel(i = iSto).to_dataframe().reset_index(), y='y_ch', x='t',  title='Storage charging', color='i')
 
 with colb2:
     fig
@@ -284,7 +283,7 @@ with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
     df_new_capacities.to_excel(writer, sheet_name='Capacities', index=False)
     df_production.to_excel(writer, sheet_name='Production', index=False)
     df_charging.to_excel(writer, sheet_name='Charging', index=False)
-    D_t.to_dataframe().reset_index().to_excel(writer, sheet_name='Demand', index=False)
+    D_t.to_excel(writer, sheet_name='Demand', index=False)
     df_curtailment.to_excel(writer, sheet_name='Curtailment', index=False)
     df_Co2_price.to_excel(writer, sheet_name='CO2_Price', index=False)
     

sourced.py

@@ -35,6 +35,9 @@ def load_data_from_excel(url_excel,load_from_pickle_flag = False, write_to_pickl
     df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
     i = pd.Index(df_excel.iloc[:, 0], name='i')
 
+
+
+
     df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
     iConv = pd.Index(df_excel.iloc[0:7, 2], name='iConv')
 
@@ -47,11 +50,9 @@ def load_data_from_excel(url_excel,load_from_pickle_flag = False, write_to_pickl
     df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
     iPtG = pd.Index(df_excel.iloc[0:1, 8], name='iPtG')
 
-    df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
-    iHyRes = pd.Index(df_excel.iloc[0:1, 10], name='iHyRes')
 
     df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
-    iChar = pd.Index(df_excel.iloc[0:3, 12], name='iChar')
+    iHyRes = pd.Index(df_excel.iloc[0:1, 10], name='iHyRes')
 
     # Parameters
     l_co2 =  pd.read_excel(url_excel, sheet_name='CO2_Cap').iloc[0,0]