#!/usr/bin/env python3
import os
import shutil
import urbs
input_files = 'Input'
result_name = 'Mimo-ex'
result_dir = urbs.prepare_result_directory(result_name) # name + time stamp
# copy input file to result directory
try:
shutil.copytree(input_files, os.path.join(result_dir, 'Input'))
except NotADirectoryError:
shutil.copyfile(input_files, os.path.join(result_dir, input_files))
# copy runme.py to result directory
shutil.copy(__file__, result_dir)
# objective function
objective = 'cost' # set either 'cost' or 'CO2' as objective
# Choose Solver (cplex, glpk, gurobi, ...)
solver = 'cbc'
# simulation timesteps
(offset, length) = (3500, 168) # time step selection
timesteps = range(offset, offset + length + 1)
dt = 1 # length of each time step (unit: hours)
# detailed reporting commodity/sites
report_tuples = [
(2019, 'North', 'Elec'),
import os
import pandas as pd
import pyomo.environ
import shutil
import urbs
from datetime import datetime
from pyomo.opt.base import SolverFactory
input_file = 'mimo-example.xlsx'
result_name = os.path.splitext(input_file)[0] # cut away file extension
result_dir = urbs.prepare_result_directory(result_name) # name+time stamp
# copy input file to result directory
shutil.copyfile(input_file, os.path.join(result_dir, input_file))
# copy runme.py to result directory
shutil.copy(__file__, result_dir)
# copy current version of scenario functions
shutil.copy('urbs/scenarios.py', result_dir)
# choose solver (cplex, glpk, gurobi, ...)
solver = 'glpk'
# objective function
objective = 'cost' # set either 'cost' or 'CO2' as objective
# simulation timesteps
(offset, length) = (3500, 168) # time step selection
timesteps = range(offset, offset+length+1)
dt = 1 # length of each time step (unit: hours)
