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Fish scale bionic flow field design and performance analysis of a proton exchange membrane fuel cell

Author

Listed:
  • Chen, Wei
  • He, Weibiao
  • Li, Yan
  • Zhu, Guohui
  • Zuo, Qingsong
  • Shen, Zhuang
  • Li, Jianxing

Abstract

The flow field design significantly influences the performance of the proton exchange membrane fuel cell (PEMFC). Inspired by the arc-shaped structure and staggered arrangement of fish scales, a fish scale bionic flow field (FSFF) is designed, which potentially reduces flow resistance and enhances flow field uniformity. Thus, a three-dimensional numerical model is established and validated with experimental data. To clarify the feasibility of the novel flow field design, different flow directions and arrangement modes on flow characteristics and species distribution are studied. The results show that all FSFF schemes can effectively improve oxygen distribution and enhance PEMFC performance by compared with conventional parallel flow field (CPFF) and conventional pin-type flow field (CPTFF). Especially, the scheme of FSFF-FB which adopts forward flow and subchannel arrangement B achieves a 9.3 % and 1.41 % increase in power density, along with a 5.47 % and 1.38 % reduction in pressure drop. Then, we design and study four subchannels number (6, 8, 10 and 12) and find that the scheme of FB-10 with 10 subchannels is better, its effective mass transfer coefficient increased by 27.70 % and 17.16 %, respectively compared to CPFF and CPTFF. Overall, increasing the subchannel numbers improves the power density, however, the pressure drop also increases.

Suggested Citation

  • Chen, Wei & He, Weibiao & Li, Yan & Zhu, Guohui & Zuo, Qingsong & Shen, Zhuang & Li, Jianxing, 2025. "Fish scale bionic flow field design and performance analysis of a proton exchange membrane fuel cell," Energy, Elsevier, vol. 334(C).
    • Handle: RePEc:eee:energy:v:334:y:2025:i:c:s0360544225033067
    DOI: 10.1016/j.energy.2025.137664
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    References listed on IDEAS

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    1. Chen, Ben & Deng, Qihao & Yang, Guanghua & Zhou, Yu & Chen, Wenshang & Cai, Yonghua & Tu, Zhengkai, 2023. "Numerical study on heat transfer characteristics and performance evaluation of PEMFC based on multiphase electrochemical model coupled with cooling channel," Energy, Elsevier, vol. 285(C).
    2. Zhou, Yu & Chen, Ben & Chen, Wenshang & Deng, Qihao & Shen, Jun & Tu, Zhengkai, 2022. "A novel opposite sinusoidal wave flow channel for performance enhancement of proton exchange membrane fuel cell," Energy, Elsevier, vol. 261(PB).
    3. Dong, Pengcheng & Xie, Gongnan & Ni, Meng, 2020. "The mass transfer characteristics and energy improvement with various partially blocked flow channels in a PEM fuel cell," Energy, Elsevier, vol. 206(C).
    4. Chen, Ben & Zhou, Haoran & He, Shaowen & Meng, Kai & Liu, Yang & Cai, Yonghua, 2021. "Numerical simulation on purge strategy of proton exchange membrane fuel cell with dead-ended anode," Energy, Elsevier, vol. 234(C).
    5. Lu, Guolong & Fan, Wenxuan & Lu, Dafeng & Zhao, Taotao & Wu, Qianqian & Liu, Mingxin & Liu, Zhenning, 2024. "Lung-inspired hybrid flow field to enhance PEMFC performance: A case of dual optimization by response surface and artificial intelligence," Applied Energy, Elsevier, vol. 355(C).
    6. Lin, Peijian & Yang, Dehui & Zhao, Yang & Wang, Hongyu & Yang, Guogang & Li, Shian & Sun, Juncai, 2024. "Numerical investigation on designs and performances of multi-dimensional forced convection flow field design of proton exchange membrane fuel cell," Renewable Energy, Elsevier, vol. 231(C).
    7. Damian-Ascencio, Cesar E. & Saldaña-Robles, Adriana & Hernandez-Guerrero, Abel & Cano-Andrade, Sergio, 2017. "Numerical modeling of a proton exchange membrane fuel cell with tree-like flow field channels based on an entropy generation analysis," Energy, Elsevier, vol. 133(C), pages 306-316.
    8. Zhang, Shuanyang & Liu, Shun & Xu, Hongtao & Liu, Gaojie & Wang, Ke, 2022. "Performance of proton exchange membrane fuel cells with honeycomb-like flow channel design," Energy, Elsevier, vol. 239(PB).
    9. Chen, Zhijie & Zuo, Wei & Zhou, Kun & Li, Qingqing & Yi, Zhengming & Huang, Yuhan, 2024. "Numerical investigation on the performance enhancement of PEMFC with gradient sinusoidal-wave fins in cathode channel," Energy, Elsevier, vol. 288(C).
    10. Gong, Fan & Yang, Xiaolong & Zhang, Xun & Mao, Zongqiang & Gao, Weitao & Wang, Cheng, 2023. "The study of Tesla valve flow field on the net power of proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 329(C).
    11. Zhou, Yu & Chen, Ben & Meng, Kai & Zhou, Haoran & Chen, Wenshang & Zhang, Ning & Deng, Qihao & Yang, Guanghua & Tu, Zhengkai, 2023. "Optimal design of a cathode flow field for performance enhancement of PEM fuel cell," Applied Energy, Elsevier, vol. 343(C).
    12. Huang, Haozhong & Li, Xuan & Li, Songwei & Guo, Xiaoyu & Liu, Mingxin & Wang, Tongying & Lei, Han, 2023. "Evaluating the effect of refined flow channels in a developed biomimetic flow field on PEMFC performance," Energy, Elsevier, vol. 266(C).
    13. Sun, Zhe & Wang, Yiwen & Xie, Xiangpeng & Yang, Qiming & Bi, Yunrui & Sun, Zhixin, 2024. "An event-triggered and dimension learning scheme WOA for PEMFC modeling and parameter identification," Energy, Elsevier, vol. 305(C).
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    2. Liu, Xiong & Zuo, Wei & Li, Qingqing & Zhou, Kun & Huang, Yuhan & E, Jiaqiang & Li, Yawei, 2025. "Multi-objective optimization of an ammonia-fueled micro planar combustor with a secondary oxygen injection for thermophotovoltaic applications," Energy, Elsevier, vol. 335(C).
    3. Wang, Naixiao & Cheng, Youliang & Zhang, Lei & Ma, Yixuan & Fan, Xiaochao, 2026. "Performance of proton exchange membrane fuel cell with bionic fish scale porous flow field design," Energy, Elsevier, vol. 344(C).

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