rheia 2.1.0

Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

The Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems (RHEIA) framework provides multi-objective optimization (deterministic and stochastic) and uncertainty quantification algorithms. These algorithms can be applied on hydrogen-based energy systems, which are included in RHEIA. In addition, RHEIA allows to connect your own models to the algorithms as well.

Documentation

The documentation is available at readthedocs.

The framework is published in the Journal of Open Source Software.

Cite the framework

Please use the following to cite the framework when you use it:

Coppitters et al., (2022). RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems. Journal of Open Source Software, 7(75), 4370, https://doi.org/10.21105/joss.04370

Bibtex entry:

@article{Coppitters2022,
  doi = {10.21105/joss.04370},
  url = {https://doi.org/10.21105/joss.04370},
  year = {2022},
  publisher = {The Open Journal},
  volume = {7},
  number = {75},
  pages = {4370},
  author = {Diederik Coppitters and Panagiotis Tsirikoglou and Ward De Paepe and Konstantinos Kyprianidis and Anestis Kalfas and Francesco Contino},
  title = {{RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems}},
  journal = {Journal of Open Source Software}
}

Installation

RHEIA can be installed using pip. More information is available at the Installation page of the documentation.

License

MIT license

Support

Contact us for questions and feedback:

[e-mail]