core_model_loop(global_dic, case_dic_list)
print('Simple_Energy_Model: Saving basic results')
# Note that results for individual cases are output from core_model_loop
save_basic_results(global_dic, case_dic_list)
# -----------------------------------------------------------------------------
# copy the Gurobi log file to the output folder
# The Verbose field in SOLVE function in CORE_MODEL.PY determined if a gurobi.log is generated.
# delete the gurobi log to eliminate cumulations from previous runs.
if os.path.exists("./gurobi.log"):
copy2("./gurobi.log", output_folder)
try:
os.remove("./gurobi.log")
except:
print('gurboi.log not erased')
# -----------------------------------------------------------------------------
if global_dic['POSTPROCESS']:
print('Simple_Energy_Model: Post-processing results')
post_process(global_dic) # Lei's old postprocessing
if global_dic['QUICK_LOOK']:
print('Simple_Energy_Model: Preparing quick look at results')
pickle_file_name = './Output_Data/' + global_dic[
'GLOBAL_NAME'] + '/' + global_dic['GLOBAL_NAME'] + '.pickle'
quick_look(global_dic, case_dic_list) # Fan's new postprocessing
# 'nate2_battery',
# 'nate2_solar'
# 'test_bat'
# 'test3'
]
# =============================================================================
for case_switch in case_list:
file_info, time_series, assumption_list = preprocess_input(
root_directory,
case_switch,
hour_simulation_start,
hours_of_simulation,
verbose
)
result_list = core_model_loop (
time_series,
assumption_list,
verbose
)
scalar_names,scalar_table = save_basic_results(
file_info,
time_series,
assumption_list,
result_list,
verbose)
if switch_postprocess == True:
post_process(file_info)