]> 2026-04-16T12:53:14+02:00 RHEIA 0 Diederik Coppitters, Panagiotis Tsirikoglou, Ward De Paepe, Konstantinos Kyprianidis, Anestis Kalfas, Francesco Contino doi.org/10.21105/joss.04370 Coppitters et al., (2022). RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems. Journal of Open Source Software, 7(75), 4370 Diederik Coppitters all probabilistic Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems true MIT license (MIT) Optimization distributed energy systems energy planning true Python false true Python https://scholar.google.com/scholar?cites=14879586069709356648&as_sdt=2005&sciodt=0,5&hl=en All Renewables 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. 2024-12-20T09:31:41Z 2460664.8970023 2024-12-20T09:34:00Z 2460664.8986111 false RHEIA