A control-oriented model of hydrogen-based hybrid energy systems
Journal of Power Sources. Bd. 694. Elsevier BV 2026 241297
Erscheinungsjahr: 2026
Publikationstyp: Zeitschriftenaufsatz (Forschungsbericht)
Sprache: Englisch
Doi/URN: 10.1016/j.jpowsour.2026.241297
| Geprüft: | Bibliothek |
Inhaltszusammenfassung
Hydrogen-based hybrid energy systems provide a promising solution to address the intermittency and unpredictability of renewable energy sources. By coupling renewable generation with hydrogen production via water electrolysis, surplus energy can be stored and later discharged to balance grid deficiencies. However, such systems are inherently multi-component and complex, requiring robust dynamic modelling to capture their behaviour. This work presents a control-oriented model describing the dy...Hydrogen-based hybrid energy systems provide a promising solution to address the intermittency and unpredictability of renewable energy sources. By coupling renewable generation with hydrogen production via water electrolysis, surplus energy can be stored and later discharged to balance grid deficiencies. However, such systems are inherently multi-component and complex, requiring robust dynamic modelling to capture their behaviour. This work presents a control-oriented model describing the dynamic coupling among a proton exchange membrane (PEM) electrolyser, a metal hydride storage unit and a PEM fuel cell. The proposed model is validated using experimental data collected from a laboratory-scale prototype of a hydrogen-based hybrid energy system and is simulated in a MATLAB environment. Additionally, the modelling framework is evaluated based on energy data of a single residential building in Norway during the month of July. Simulation results demonstrate that the model effectively replicates and predicts the dynamics of hydrogen-based HES. These findings confirm the reliability of the developed model, which can subsequently be used to design advanced feedback controllers, real-time diagnosis systems and to implement effective energy management strategies for hydrogen-based hybrid energy systems.» weiterlesen» einklappen
Autoren
Klassifikation
DFG Fachgebiet:
4.21-05 - Systemverfahrenstechnik
DDC Sachgruppe:
Ingenieurwissenschaften