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Generic Dynamical Model of PEM Electrolyser under Intermittent Sources

Author

Listed:
  • Sumit Sood

    (CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, France)

  • Om Prakash

    (CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, France)

  • Mahdi Boukerdja

    (CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, France)

  • Jean-Yves Dieulot

    (CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, France)

  • Belkacem Ould-Bouamama

    (CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, France)

  • Mathieu Bressel

    (CRIStAL UMR CNRS 9189, Junia, 59000 Lille, France)

  • Anne-Lise Gehin

    (CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, France)

Abstract

Proton Exchange Membrane (PEM) water electrolysis system is one of the promising technologies to produce green hydrogen from renewable energy sources (wind and solar). However, performance and dynamic analysis of PEM water electrolysis systems are challenging due to the intermittent nature of such sources and involved multi-physical behaviour of the components and subsystems. This study proposes a generic dynamical model of the PEM electrolysis system represented in a modular fashion using Bond Graph (BG) as a unified modelling approach. Causal and functional properties of the BG facilitate the formal PEM electrolyser model to adapt and to fit the different configurations of the electrolyser ranging from laboratory scale to industrial scale. The system-specific key parameter values are identified optimally for a laboratory-scale electrolyser system running on a multi-source energy platform using experimental data. The mean absolute percentage error between simulation and experimental data is found to be less than 5%. The performance characteristic curves of the electrolyser are predicted at different operating temperatures using the identified key parameters. The predicted performance is in good agreement with the expected behaviour of the electrolyser found in the literature. The model also estimates the different energy losses and the real-time efficiency of the system under dynamic inputs. With these capabilities, the developed model provides an economical mean for design, control, and diagnosis development of such systems.

Suggested Citation

  • Sumit Sood & Om Prakash & Mahdi Boukerdja & Jean-Yves Dieulot & Belkacem Ould-Bouamama & Mathieu Bressel & Anne-Lise Gehin, 2020. "Generic Dynamical Model of PEM Electrolyser under Intermittent Sources," Energies, MDPI, vol. 13(24), pages 1-34, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6556-:d:460730
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    References listed on IDEAS

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    1. Vincent, Immanuel & Bessarabov, Dmitri, 2018. "Low cost hydrogen production by anion exchange membrane electrolysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1690-1704.
    2. Vincenzo Liso & Giorgio Savoia & Samuel Simon Araya & Giovanni Cinti & Søren Knudsen Kær, 2018. "Modelling and Experimental Analysis of a Polymer Electrolyte Membrane Water Electrolysis Cell at Different Operating Temperatures," Energies, MDPI, vol. 11(12), pages 1-18, November.
    3. Hernández-Gómez, Ángel & Ramirez, Victor & Guilbert, Damien & Saldivar, Belem, 2021. "Cell voltage static-dynamic modeling of a PEM electrolyzer based on adaptive parameters: Development and experimental validation," Renewable Energy, Elsevier, vol. 163(C), pages 1508-1522.
    4. Olivier, Pierre & Bourasseau, Cyril & Bouamama, Pr. Belkacem, 2017. "Low-temperature electrolysis system modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 280-300.
    5. Fabian Scheepers & Markus Stähler & Andrea Stähler & Edward Rauls & Martin Müller & Marcelo Carmo & Werner Lehnert, 2020. "Improving the Efficiency of PEM Electrolyzers through Membrane-Specific Pressure Optimization," Energies, MDPI, vol. 13(3), pages 1-21, February.
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    Cited by:

    1. Ibrahima Touré & Alireza Payman & Mamadou Baïlo Camara & Brayima Dakyo, 2025. "Control Strategy of a Multi-Source System Based on Batteries, Wind Turbines, and Electrolyzers for Hydrogen Production," Energies, MDPI, vol. 18(11), pages 1-19, May.
    2. Genovese, Matteo & Fragiacomo, Petronilla, 2021. "Parametric technical-economic investigation of a pressurized hydrogen electrolyzer unit coupled with a storage compression system," Renewable Energy, Elsevier, vol. 180(C), pages 502-515.

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