SecMOD MILP - A framework for multi-energy system optimization and life-cycle assessment

The SecMOD MILP framework is a flexible framework for the optimization and life-cycle assessment of industrial multi-energy systems. The SecMOD MILP framework entails continuous sizing of discrete components including minimal part-load and part-load dependent efficiencies.

Referencing

If you use our software or any part of it, please cite Reinert, Nolzen et al. (2023). The full information on the publication is also shown below:

Nolzen, N., Reinert, C.; Frohmann, J., Tillmanns, D., and Bardow, A. (2023): "Design of low-carbon multi-energy systems in the SecMOD framework by combining MILP optimization and life-cycle assessment". Computer & Chemical Engineering. DOI: https://doi.org/10.1016/j.compchemeng.2023.108176.

Since the publication above by Reinert, Nolzen, et al. and this repository only describe the extensions compared to the linear SecMOD, we also refer to for further information to Reinert et al. (2022). The full information on the publication is also shown below:

Reinert, C.; Schellhas, L.; Mannhardt, J.; Shu, D.; Kämper, A.; Baumgärtner, N.; Deutz, S., and Bardow, A. (2022): "SecMOD: An open-source modular framework combining multi-sector system optimization and life-cycle assessment". Frontiers in Energy Research. DOI: https://doi.org/10.3389/fenrg.2022.884525.

License

This project is licensed under the MIT license, for more information please refer to the license file.

Documentation and Support

Please, find the full documentation of the SecMOD MILP framework here.

In addition, please, find the full documentation of the SecMOD LP framework here.

You can further find a video about SecMOD and some example applications here.

In case you need help using Git, please refer to the git documentation here.

Installation

A brief instruction to install SecMOD can also be found below: Clone a copy of the whole repository to your computer:

git clone git@git-ce.rwth-aachen.de:ltt/secmod-milp.git

Open a terminal with a python enviroment (e.g. Anaconda promt) and install the secmod package with:

pip install --user -e '<Path\to\cloned\repository>'

The path should point to the directory where secmod is saved (repository folder). Make sure that the setup.py file is located in your repository folder. You can use this installation for several projects in multiple working directories.

For further installation instruction please go here. The code was tested with Python 3.7.5.

First Steps

Create a working directory for the optimization framework. Next, cd to that directory and enter

python -m secmod.setup

in the terminal. This sets up the right folder structure. Start the optimization with double clicking the start.bat file, where you can choose your enviroment or alternatively use

python -m secmod

to start.