15 minutes

runme_community.py

@@ -17,26 +17,15 @@ def process_each_prosumer(prosumer_name, prosumer_specification, input_profiles,
 
     return prosumer.prosumer
 
-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_step = 1 # length of a time step in hours
+t_start = pd.Timestamp("2019-01-01 00:00:00") # start time of simulation
+t_horizon = 365*24 # number of time steps to be simulated
+t_step = 0.25 # length of a time step in hours
 
 input_profile_dict = {'irradiance_1': ['irradiance', 'input_files/data/irradiance/Lindenberg2006BSRN_Irradiance_60sec.csv'],
                       'temperature_1': ['air_temperature', 'input_files/data/temperature/temperature.csv'],
                       'demand_electric_1': ['elec_demand', 'generate', 3000],
                       'demand_heat_1': ['therm_demand', 'generate', 6000, 'temperature_1'],
-                      'demand_hot_water_1': ['hot_water_demand', 'generate', 1500, 'temperature_1'],
-                      'irradiance_2': ['irradiance', 'input_files/data/irradiance/Lindenberg2006BSRN_Irradiance_60sec.csv'],
-                      'temperature_2': ['air_temperature', 'input_files/data/temperature/temperature.csv'],
-                      'demand_electric_2': ['elec_demand', 'generate', 3000],
-                      'demand_heat_2': ['therm_demand', 'generate', 6000, 'temperature_2'],
-                      'demand_hot_water_2': ['hot_water_demand', 'generate', 1500, 'temperature_2'],
-                      'irradiance_3': ['irradiance', 'input_files/data/irradiance/Lindenberg2006BSRN_Irradiance_60sec.csv'],
-                      'temperature_3': ['air_temperature', 'input_files/data/temperature/temperature.csv'],
-                      'demand_electric_3': ['elec_demand', 'generate', 0],
-                      'demand_heat_3': ['therm_demand', 'generate', 0, 'temperature_3'],
-                      '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']}
+                      'demand_hot_water_1': ['hot_water_demand', 'generate', 1500, 'temperature_1']}
 
 input_profiles = Tooling.input_profile_processor.input_profile_processor.process_input_profiles(input_profile_dict, t_start, t_horizon, t_step)
 
@@ -48,14 +37,7 @@ prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'topology_path': 'input_files/model
                                                           'air_temperature': 'temperature_1',
                                                           'elec_demand': 'demand_electric_1',
                                                           'therm_demand': 'demand_heat_1',
-                                                          'hot_water_demand': 'demand_hot_water_1'}},
-                 'SCN0_CAT1_3000_6000': {'topology_path': 'input_files/models/prosumer_models/SCN0_CAT1',
-                                         'config_path': 'input_files/models/prosumer_models/SCN0_CAT1/config.csv',
-                                         'profiles': {'irradiance': 'irradiance_2',
-                                                      'air_temperature': 'temperature_2',
-                                                      'elec_demand': 'demand_electric_2',
-                                                      'therm_demand': 'demand_heat_2',
-                                                      'hot_water_demand': 'demand_hot_water_2'}}}
+                                                          'hot_water_demand': 'demand_hot_water_1'}}}
 
 prosumer_strategy = ['annuity']
 parallel_processing = False