Upload app.py

app.py

@@ -120,6 +120,13 @@ with col3:
 #= xr_profiles.rolling( time_step = time_steps_aggregate).mean().sel(time_step = time[0::time_steps_aggregate])
 price_co2 = 0
 
+# Aggregate time series
+D_t = timstep_aggregate(dt,params_dict['D_t'])
+s_t_r_iRes = timstep_aggregate(dt,params_dict['s_t_r_iRes'])
+h_t = timstep_aggregate(dt,params_dict['h_t'])
+t = D_t.get_index('t')
+partial_year_factor = (8760/len(t))/dt
+
 #technologies_no_invest = st.multiselect(label='Technolgy invest', options=i)
 #technologies_no_invest = ['Electrolyzer','Biomass','RoR','Hydro Water Reservoir']
 # %%