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Commit 58c6afe6 authored by Fabio Sala's avatar Fabio Sala
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change the code to run the prosumer in one specific quarter

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with 29 additions and 7 deletions
runme_community.py
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− 7
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......@@ -15,12 +15,14 @@ def process_each_prosumer(prosumer_name, prosumer_specification, input_profiles,
prosumer.show_results()
print("Finished prosumer " + prosumer_name)
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_start = pd.Timestamp("2019-01-01 00:00:00") # start time of simulation
t_horizon = 8760 # 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'],
'temperature_1': ['air_temperature', 'input_files/data/temperature/temperature.csv'],
'demand_electric_1': ['elec_demand', 'generate', 3000],
......@@ -36,12 +38,11 @@ input_profile_dict = {'irradiance_1': ['irradiance', 'input_files/data/irradianc
'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']}
input_profiles = Tooling.input_profile_processor.input_profile_processor.process_input_profiles(input_profile_dict, t_start, t_horizon, t_step)
'elec_price_1': ['elec_price', 'input_files/data/prices/day-ahead/hourly_price.csv']}'''
# 'topology_path': path to directory that contains the matrices that define the prosumer topology
# 'config_path': path to global configurations like prices, injection prices, emission costs, etc.
'''
prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'topology_path': 'input_files/models/prosumer_models/SCN2_CAT1_PV11',
'config_path': 'input_files/models/prosumer_models/SCN2_CAT1_PV11/config.csv',
'profiles': {'irradiance': 'irradiance_1',
......@@ -55,8 +56,26 @@ prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'topology_path': 'input_files/model
'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_2'}}}'''
prosumer_dict = {}
inputpath_dataframe='C:/GIT/ineed-dc-framework/Tooling/quarter_data_extraction/DataFrame/OUTPUT/OUTPUT_S3B/Quarter_Prosumers/running_info.csv'
b=pd.read_csv(inputpath_dataframe)
input_profile_dict = {'irradiance': ['irradiance', 'input_files/data/irradiance/irr_ren_ninja_avg_Germany.csv'],
'temperature': ['air_temperature', 'input_files/data/temperature/temperature_ren_ninja_avrg_germany.csv'],
'elec_price_1': ['elec_price', 'input_files/data/prices/day-ahead/hourly_price.csv']}
for i in b.index:
input_profile_dict['demand_electric_'+ str(i)] = ['elec_demand', 'generate', b.loc[i,'referance_el_demand'], b.loc[i,'profile_el']]
input_profile_dict['demand_heat_'+ str(i)] = ['therm_demand', 'generate', b.loc[i,'referance_heat_demand'],b.loc[i,'profile_th'], b.loc[i,'Building_type'], 'temperature']
input_profile_dict['demand_hot_water_'+ str(i)] = ['hot_water_demand', 'generate', b.loc[i,'referance_hot_water'], b.loc[i,'profile_th'], b.loc[i,'Building_type'], 'temperature']
prosumer_dict[b.loc[i,'ID_Building']]= {'topology_path': 'Tooling/quarter_data_extraction/DataFrame/OUTPUT/OUTPUT_S3B/Quarter_Prosumers/'+str(b.loc[i,'ID_Building']),
'config_path': 'Tooling/quarter_data_extraction/DataFrame/OUTPUT/OUTPUT_S3B/Quarter_Prosumers/'+str(b.loc[i,'ID_Building'])+'/config.csv',
'profiles':{'irradiance': 'irradiance',
'air_temperature': 'temperature',
'elec_demand': 'demand_electric_'+ str(i),
'therm_demand':'demand_heat_'+ str(i),
'hot_water_demand': 'demand_hot_water_'+ str(i)}}
input_profiles = Tooling.input_profile_processor.input_profile_processor.process_input_profiles(input_profile_dict, t_start, t_horizon, t_step)
prosumer_strategy = ['annuity']
parallel_processing = False
......@@ -72,6 +91,7 @@ else:
for prosumer_name in list(prosumer_dict.keys()):
prosumers[prosumer_name] = process_each_prosumer(prosumer_name, prosumer_dict[prosumer_name], input_profiles, t_start, t_horizon, t_step, prosumer_strategy)
'''
community_assets_dict = {'ca_bat': {'topology_path': 'input_files/models/district_models/example_CA',
'config_path': 'input_files/models/district_models/example_CA/config.csv',
'profiles': {'irradiance': 'irradiance_3',
......@@ -79,6 +99,7 @@ community_assets_dict = {'ca_bat': {'topology_path': 'input_files/models/distric
'elec_demand': 'demand_electric_3',
'therm_demand': 'demand_heat_3',
'hot_water_demand': 'demand_hot_water_3'}}}
community_assets_dict = {}
community_assets_strategy = 'sizing_max_operational_profit'
......@@ -90,3 +111,4 @@ community_dict = {'community': {'config_path': 'input_files/models/district_mode
community_strategy = ['max_operational_profit']
community_main = main_district.MainDistrict(community_dict, prosumers, community_assets, input_profiles, t_start, t_horizon, t_step, community_assets_strategy, community_strategy)
'''
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