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hp4155a.py

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    • runme.py 4.74 KiB
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    import pandas as pd
import Tooling.input_profile_processor.input_profile_processor
import Model_Library.Prosumer.main as main
import Model_Library.District.main_district as main_district
from enum import Enum

class SimulationScope(Enum):
    PROSUMER = 1
    COMMUNITY = 2

simulation_scope = SimulationScope.COMMUNITY
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

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']}

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 = {'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'],
                                                          'elec_cns': 'demand_electric_1',
                                                          'therm_cns': 'demand_heat_1',
                                                          'dhw_dmd': 'demand_hot_water_1'}},
                 'SCN0_CAT1_3000_6000': {'config_path': 'input_files/models/prosumer_models/SCN0_CAT1/config.csv',
                                         'topology_path': 'input_files/models/prosumer_models/SCN0_CAT1',
                                         'profiles': {'elec_cns': 'demand_electric_2',
                                                      'therm_cns': 'demand_heat_2',
                                                      'dhw_dmd': 'demand_hot_water_2'}}}

prosumer_main = main.Main(prosumer_dict, input_profiles, t_horizon, t_step)

prosumer_sizing_strategy = 'annuity'
prosumer_main.optimize_sizing(prosumer_sizing_strategy)

prosumer_main.save_results()

prosumers = prosumer_main.prosumers

if simulation_scope == SimulationScope.PROSUMER:
    exit()

community_assets_dict = {'ca_bat': {'config_path': 'input_files/models/district_models/example_CA/config.csv',
                                    'topology_path': 'input_files/models/district_models/example_CA',
                                    'profiles': {'elec_cns_ca_bat': 'demand_electric_3'}}}

community_assets = main.Main_CA(community_assets_dict, input_profiles, t_horizon, t_step).community_assets

community_dict = {'community': {'config_path': 'input_files/models/district_models/example_community/config.csv',
                                'profiles': {'elec_price': 'elec_price_1'}}}

community_main = main_district.MainDistrict(community_dict, prosumers, community_assets, input_profiles, t_horizon, t_step)

community_sizing_strategy = 'sizing_max_operational_profit'
community_main.optimize_sizing(community_sizing_strategy)

community_operation_strategy = 'max_operational_profit'
community_main.optimize_operation(t_horizon, community_operation_strategy)

community_main.save_results()