OUTDOOR (Open Superstructure Modeling and Optimization Framework) is a tool to construct superstructure optimization models and solve them using MILP solvers.
The Program consists of three main aspects:
- The outdoor_core module provides classes for unit operations such as Reactors and stream splitters, as well as a class for system data like electricity prices and heating utilities. These Classes can be used to construct superstructures by creating unit operations objects and adding them to a superstructure class object.
- The outdoor_core module also implements a generic MILP superstructure model, which is written as an PYOMO abstract model, and can be applied to different cases such as biorefineries, chemical industry or Power-to-X. The generic model is created and afterwards converted into a concrete model by initializing the data from the populated superstructure.
- Objects and data can either be created and populated by python scripting utilizing class-specific setter function. However, outdoor also includes a excel_wrapper tool which turn predesigned excel templates automatically into populated superstructures which can be solved using the outdoor framework.
An example is proved in the example folder.
| docs | |
|---|---|
| tests |    |
| package | 
|
SHORT DESCRIPTION
- Free software: MIT license
pip install outdoor
You can also install the in-development version with:
pip install https://github.com/PKenkel/OUTDOOR/archive/master.zip
https://outdoor.readthedocs.io/
To run all the tests run:
tox
Note, to combine the coverage data from all the tox environments run:
| Windows | set PYTEST_ADDOPTS=--cov-append tox |
|---|---|
| Other | PYTEST_ADDOPTS=--cov-append tox |