index on main: ee912431 Merge branch 'main' of git-ce.rwth-aachen.de:ineed-dc/ineed-dc-framework

runme.py

@@ -9,8 +9,8 @@ class SimulationScope(Enum):
     DISTRICT = 2
 
 simulation_scope = SimulationScope.DISTRICT
-t_start = pd.Timestamp("2019-05-10 00:00:00") # start time of simulation
-t_horizon = 240 # number of time steps to be simulated
+t_start = pd.Timestamp("2019-01-01 00:00:00") # start time of simulation
+t_horizon = 100 # number of time steps to be simulated
 t_step = 1 # length of a time step in hours
 
 input_profile_dict = {'irradiance_1': ['irradiance', 'input_files/data/irradiance/Lindenberg2006BSRN_Irradiance_60sec.csv'],
@@ -30,10 +30,54 @@ input_profile_dict = {'irradiance_1': ['irradiance', 'input_files/data/irradianc
                       'demand_hot_water_3': ['hot_water_demand', 'generate', 0, 'temperature_3'],
                       'elec_price_1': ['elec_price', 'input_files/data/prices/day-ahead/hourly_price.csv']}
 
+inputpath_dataframe=r'C:\git\ineed-dc-framework\input_files\models\prosumer_models\building_types_aachen\prosumer_type_configs'
+b=pd.read_csv(inputpath_dataframe)
+
+for i in b.index:
+    input_profile_dict['demand_electric_'+ str(i)] = ['elec_demand', 'generate', b.loc[i,'Electricity_demand']]
+    input_profile_dict['demand_heat_'+ str(i)] = ['therm_demand', 'generate', b.loc[i,'Thermal_demand'], 'temperature_1']
+    input_profile_dict['demand_hot_water_'+ str(i)] = ['hot_water_demand', 'generate', b.loc[i,'HotWater_demand'], 'temperature_1']
+
 input_profiles = Tooling.input_profile_processor.input_profile_processor.process_input_profiles(input_profile_dict, t_start, t_horizon, t_step)
 
 # 'config_path': path to global configurations like prices, injection prices, emission costs, etc.
 # 'topology_path': path to directory that contains the matrices that define the prosumer topology
+prosumer_dict = {}
+
+for i in b.index:
+    if 'PV' in b.loc[i,'ID_building'] and 'HP' in b.loc[i, 'ID_building']:
+        prosumer_dict[b.loc[i,'ID_building']]= {'config_path': 'input_files/models/prosumer_models/building_types_aachen/'
+                                                               + str(b.loc[i,'ID_building']) + '/config.csv',
+                                                 'topology_path': 'input_files/models/prosumer_models/building_types_aachen/'
+                                                                  + str(b.loc[i,'ID_building']),
+                                                'profiles':{'elec_cns': 'demand_electric_'+ str(i),
+                                                        'therm_cns': 'demand_heat_'+ str(i),
+                                                        'dhw_dmd': 'demand_hot_water_'+ str(i),
+                                                'pv_roof': ['irradiance_1', 'temperature_1'],
+                                                            'heat_pump': 'temperature_1'}}
+    elif 'PV' in b.loc[i,'ID_building']:
+        prosumer_dict[b.loc[i, 'ID_building']] = {
+            'config_path': 'input_files/models/prosumer_models/building_types_aachen/'
+                           + str(b.loc[i, 'ID_building']) + '/config.csv',
+            'topology_path': 'input_files/models/prosumer_models/building_types_aachen/'
+                             + str(b.loc[i, 'ID_building']),
+            'profiles': {'elec_cns': 'demand_electric_'+ str(i),
+                         'therm_cns': 'demand_heat_'+ str(i),
+                         'dhw_dmd': 'demand_hot_water_'+ str(i),
+                         'pv_roof': ['irradiance_1', 'temperature_1']}}
+    else:
+        prosumer_dict[b.loc[i, 'ID_building']] = {
+            'config_path': 'input_files/models/prosumer_models/building_types_aachen/'
+                           + str(b.loc[i, 'ID_building']) + '/config.csv',
+            'topology_path': 'input_files/models/prosumer_models/building_types_aachen/'
+                             + str(b.loc[i, 'ID_building']),
+            'profiles': {'elec_cns': 'demand_electric_' + str(i),
+                         'therm_cns': 'demand_heat_' + str(i),
+                         'dhw_dmd': 'demand_hot_water_' + str(i)}}
+
+num=0
+
+"""
 prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'config_path': 'input_files/models/prosumer_models/SCN2_CAT1_PV11/config.csv',
                                              'topology_path': 'input_files/models/prosumer_models/SCN2_CAT1_PV11',
                                              'profiles': {'pv_roof': ['irradiance_1', 'temperature_1'],
@@ -45,6 +89,7 @@ prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'config_path': 'input_files/models/
                                          'profiles': {'elec_cns': 'demand_electric_2',
                                                       'therm_cns': 'demand_heat_2',
                                                       'dhw_dmd': 'demand_hot_water_2'}}}
+"""
 
 prosumer_main = main_prosumer.ProsumerMain(prosumer_dict, input_profiles, t_horizon, t_step)