# Input data "demand": demand, "wind_capacity_factor": wind_capacity_factor, "solar_capacity_factor": solar_capacity_factor, # Dealing with input data # "year_simulation_array": year_simulation_array, "simulation_start_array": simulation_start_array, "simulation_end_array": simulation_end_array, "core_model_file": core_model_file } # Call Loop_Model function temp_folder = loop_model(inputs1) copy2(__file__, temp_folder) # ----------------------------------------------------------------------------- #inputs2 = inputs1.copy() #inputs2["core_model_file"] = 'Core_Model_FakeCurtailment' # ## Call Loop_Model function #temp_folder = loop_model(inputs2) #copy2(__file__, temp_folder) # ----------------------------------------------------------------------------- #inputs3 = inputs1.copy() #inputs3["core_model_file"] = 'Core_Model_NoCurtailment'
"simulation_start_array": simulation_start_array, "simulation_end_array": simulation_end_array, "core_model_file": core_model_file } # Call Loop_Model function # temp_folder = loop_model(inputs1) # copy2(__file__, temp_folder) # ----------------------------------------------------------------------------- inputs2 = inputs1.copy() inputs2["core_model_file"] = 'Core_Model_FakeCurtailment' # Call Loop_Model function temp_folder = loop_model(inputs2) copy2(__file__, temp_folder) # ----------------------------------------------------------------------------- #inputs3 = inputs1.copy() #inputs3["core_model_file"] = 'Core_Model_NoCurtailment' # ## Call Loop_Model function #temp_folder = loop_model(inputs3) #copy2(__file__, temp_folder) # ----------------------------------------------------------------------------- inputs4 = inputs1.copy() inputs4["capital_cost_ngcc_array"] = np.array([1e10])