def runModel(): #read config model = temoa_create_model() from temoa_lib import temoa_solve temoa_solve( model )
""" Temoa - Tools for Energy Model Optimization and Analysis linear optimization; least cost; dynamic system visualization Copyright (C) 2011-2014 Kevin Hunter, Joseph DeCarolis This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. Developers of this script will check out a complete copy of the GNU Affero General Public License in the file COPYING.txt. Users uncompressing this from an archive may not have received this license file. If not, see <http://www.gnu.org/licenses/>. """ from temoa_model import model from temoa_lib import temoa_solve, TemoaError try: temoa_solve( model ) except TemoaError, e: raise SystemExit( '\n' + str(e) )
""" Tools for Energy Model Optimization and Analysis (Temoa): An open source framework for energy systems optimization modeling Copyright (C) 2015, NC State University This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. A complete copy of the GNU General Public License v2 (GPLv2) is available in LICENSE.txt. Users uncompressing this from an archive may not have received this license file. If not, see <http://www.gnu.org/licenses/>. """ from temoa_model import model from temoa_lib import temoa_solve, TemoaError try: temoa_solve( model ) except TemoaError, e: raise SystemExit( '\n' + str(e) )
# is determined using DEMAND_RANGE. The Price, MinDemand and MaxDemand
# are written to the file, price.dat.
# Usage: same as temoa_model.py.
# Addition output: writes file price.dat in the current directory.
DEMAND_RANGE = 0.3 # Max/MinDemand = (1 +/- DEMAND_RANGE)* Demand
DEMAND_SEGMENTS = 27 # Keep this an odd number to reproduce fixed demand results!
from temoa_model import temoa_create_model, temoa_create_model_container
from temoa_lib import temoa_solve
import sys
model = temoa_create_model()
model_data = temoa_create_model_container(model)
temoa_solve(model_data)
instance = model_data.instance
price_data = open("price.dat", "w")
ConstantDemandConstraint = instance.DemandConstraint
Demand = instance.Demand
print >> price_data, """\
data;
param: MinDemand MaxDemand :=
# year # min # max
"""
for key in sorted(Demand.sparse_keys()):
for l in key: