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Two-phase analytical modeling and intelligence parameter estimation of proton exchange membrane electrolyzer for hydrogen production

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  • Wang, Bowen
  • Ni, Meng
  • Zhang, Shiye
  • Liu, Zhi
  • Jiang, Shangfeng
  • Zhang, Longhai
  • Zhou, Feikun
  • Jiao, Kui

Abstract

The proton exchange membrane electrolyzer (PEME) is a promising tool for hydrogen production, and internal two-phase transport significantly influences its performance. In this study, a two-phase analytical PEME model incorporating the liquid saturation jump effect was developed, and intelligent parameter estimation using a genetic algorithm was proposed to achieve high-efficiency model validation. In-house experiments and experimental results from numerous papers in the literature were employed to prove the effectiveness of the proposed intelligent parameter estimation. Moreover, the two-phase simulation results demonstrated that the PEME voltage increased significantly when the current density reached the limiting value, and the liquid saturation in the anode catalyst layer (ACL) dropped to nearly zero. Increasing ACL porosity, decreasing ACL permeability, and decreasing ACL thickness could increase the limiting current density within the investigated range. The simulated limiting current density could be > 5 A cm−2 through proper design of the ACL parameters. For high-pressure cathode operation, increasing the cathode pressure and membrane permeability generally benefits water management inside the PEME and therefore increases the limiting current density. This study provides critical support for the design of cells and operating conditions for future PEME studies.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:211:y:2023:i:c:p:202-213
    DOI: 10.1016/j.renene.2023.04.090
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    References listed on IDEAS

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    1. Cheng, Chaochao & Yang, Zirong & Liu, Zhi & Tongsh, Chasen & Zhang, Guobin & Xie, Biao & He, Shaoqing & Jiao, Kui, 2021. "Numerical investigation on the feasibility of metal foam as flow field in alkaline anion exchange membrane fuel cell," Applied Energy, Elsevier, vol. 302(C).
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    3. Wang, Zhiming & Wang, Xueye & Chen, Zhichao & Liao, Zhirong & Xu, Chao & Du, Xiaoze, 2021. "Energy and exergy analysis of a proton exchange membrane water electrolysis system without additional internal cooling," Renewable Energy, Elsevier, vol. 180(C), pages 1333-1343.
    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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    1. Yuanyuan Li & Xiaoyu Xu & Daorina Bao & Bakhramzhan Rasakhodzhaev & Akhadov Jobir & Chun Chang & Mingzhi Zhao, 2023. "Research on Hydrogen Production System Technology Based on Photovoltaic-Photothermal Coupling Electrolyzer," Energies, MDPI, vol. 16(24), pages 1-27, December.

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