small config changes

runme.py

@@ -16,7 +16,7 @@ class SimulationScope(Enum):
 
 simulation_scope = SimulationScope.DISTRICT
 t_start = pd.Timestamp("2019-01-01 00:00:00") # start time of simulation
-t_horizon = 8760 # number of time steps to be simulated
+t_horizon = 100 # number of time steps to be simulated
 t_step = 1 # length of a time step in hours
 
 inputpath_dataframe = 'input_files/models/prosumer_models/building_types_aachen_2022/running_77_2022.csv'
@@ -33,7 +33,7 @@ input_profile_dict = {'pv_factors_aachen_1': ['pv_factors', 'input_files/data/ir
                       'dhw_mhf_passive': ['hot_water_demand', 'input_files/data/demand/domestic_hot_water/synPRO_passive_multi_party_house_dhw_2021_to_2019_kW.csv'],
                       'elec_price_1': ['prices', 'input_files/data/prices/day-ahead/hourly_price.csv']}
 
-for i in building_types.index[44:55]:
+for i in building_types.index[53:56]:
     if 'A_' in building_types.iloc[i]['ID_Building']:
         pass
     else:
@@ -102,7 +102,7 @@ print('Number of PV: ' + str(count_pv))
 print('Number of AC: ' + str(count_ac))
 
 consumer_count = 0
-for i in building_types.index[44:55]:
+for i in building_types.index[53:56]:
 
     if 'A_' in building_types.iloc[i]['ID_Building']:
         # get the index of the reference profile for this building type
@@ -163,7 +163,7 @@ prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'config_path': 'input_files/models/
                                                       'dhw_dmd': 'demand_hot_water_2'}}}
 """
 
-prosumer_main = main_prosumer.ProsumerMain(prosumer_dict, input_profiles, t_horizon, t_step, new_prosumers=True)
+prosumer_main = main_prosumer.ProsumerMain(prosumer_dict, input_profiles, t_horizon, t_step)
 
 prosumer_sizing_strategy = 'annuity'
 prosumer_main.optimize_sizing(prosumer_sizing_strategy)