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Modelling and experimental validation of a 46 kW PEM high pressure water electrolyzer

Author

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  • Espinosa-López, Manuel
  • Darras, Christophe
  • Poggi, Philippe
  • Glises, Raynal
  • Baucour, Philippe
  • Rakotondrainibe, André
  • Besse, Serge
  • Serre-Combe, Pierre

Abstract

The objective of this paper is to present the modelling and experimental validation of the 46 kW PEM high pressure water electrolyzer installed on the MYRTE platform, which is a real-scale demonstrator that aims to study the deployment of hydrogen to store the energy associated to intermittent renewable energy source systems. An electrochemical steady-state and semi-empirical submodel coupled with a lumped thermal capacitance dynamic submodel is developed to predict the stack voltage and the stack temperature evolution from instantaneous operating conditions such as the applied current, the gas storage pressure tanks (H2 and O2) and the ambient temperature. The Particle Swarm Optimization algorithm is used to find the electrochemical submodel parameters and a multivariable Matlab-Simulink® linked modular mathematical model is developed for validation. Results indicate that within a temperature range of 20–60 °C, and a pressure range of 15–35 bar, the stack voltage and the temperature evolution can be predicted even in transitory operating phases. The strategy used for the parameters identification is explained in detail and can be applied to any PEM water electrolyzer.

Suggested Citation

  • Espinosa-López, Manuel & Darras, Christophe & Poggi, Philippe & Glises, Raynal & Baucour, Philippe & Rakotondrainibe, André & Besse, Serge & Serre-Combe, Pierre, 2018. "Modelling and experimental validation of a 46 kW PEM high pressure water electrolyzer," Renewable Energy, Elsevier, vol. 119(C), pages 160-173.
    • Handle: RePEc:eee:renene:v:119:y:2018:i:c:p:160-173
    DOI: 10.1016/j.renene.2017.11.081
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    1. Salim, Reem & Nabag, Mahmoud & Noura, Hassan & Fardoun, Abbas, 2015. "The parameter identification of the Nexa 1.2 kW PEMFC's model using particle swarm optimization," Renewable Energy, Elsevier, vol. 82(C), pages 26-34.
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    2. Wang, Bowen & Ni, Meng & Zhang, Shiye & Liu, Zhi & Jiang, Shangfeng & Zhang, Longhai & Zhou, Feikun & Jiao, Kui, 2023. "Two-phase analytical modeling and intelligence parameter estimation of proton exchange membrane electrolyzer for hydrogen production," Renewable Energy, Elsevier, vol. 211(C), pages 202-213.
    3. Qiu, Xiaoyan & Zhang, Hang & Qiu, Yiwei & Zhou, Yi & Zang, Tianlei & Zhou, Buxiang & Qi, Ruomei & Lin, Jin & Wang, Jiepeng, 2023. "Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models," Applied Energy, Elsevier, vol. 348(C).
    4. 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.
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    6. Jae-Hoon Kim & Chang-Yeol Oh & Ki-Ryong Kim & Jong-Pil Lee & Tae-Jin Kim, 2022. "Parameter Identification of Electrical Equivalent Circuits including Mass Transfer Parameters for the Selection of the Operating Frequencies of Pulsed PEM Water Electrolysis," Energies, MDPI, vol. 15(24), pages 1-16, December.
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    8. Duchaud, Jean-Laurent & Notton, Gilles & Darras, Christophe & Voyant, Cyril, 2019. "Multi-Objective Particle Swarm optimal sizing of a renewable hybrid power plant with storage," Renewable Energy, Elsevier, vol. 131(C), pages 1156-1167.
    9. 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.
    10. Dang, Jian & Yang, Fuyuan & Li, Yangyang & Zhao, Yingpeng & Ouyang, Minggao & Hu, Song, 2022. "Experiments and microsimulation of high-pressure single-cell PEM electrolyzer," Applied Energy, Elsevier, vol. 321(C).
    11. Pierre-Antoine Muselli & Jean-Nicolas Antoniotti & Marc Muselli, 2022. "Climate Change Impacts on Gaseous Hydrogen (H 2 ) Potential Produced by Photovoltaic Electrolysis for Stand-Alone or Grid Applications in Europe," Energies, MDPI, vol. 16(1), pages 1-21, December.
    12. Liu, Hongwei & Ren, He & Gu, Yajing & Lin, Yonggang & Hu, Weifei & Song, Jiajun & Yang, Jinhong & Zhu, Zengxin & Li, Wei, 2023. "Design and on-site implementation of an off-grid marine current powered hydrogen production system," Applied Energy, Elsevier, vol. 330(PB).
    13. Gallo, María Angélica & García Clúa, José Gabriel, 2023. "Sizing and analytical optimization of an alkaline water electrolyzer powered by a grid-assisted wind turbine to minimize grid power exchange," Renewable Energy, Elsevier, vol. 216(C).
    14. Damien Guilbert & Gianpaolo Vitale, 2019. "Dynamic Emulation of a PEM Electrolyzer by Time Constant Based Exponential Model," Energies, MDPI, vol. 12(4), pages 1-17, February.
    15. Sattari Sadat, Seyed Mohammad & Ghaebi, Hadi & Lavasani, Arash Mirabdolah, 2020. "4E analyses of an innovative polygeneration system based on SOFC," Renewable Energy, Elsevier, vol. 156(C), pages 986-1007.

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