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Design and optimization of bio-inspired wave-like channel for a PEM fuel cell applying genetic algorithm

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  • Cai, Genchun
  • Liang, Yunmin
  • Liu, Zhichun
  • Liu, Wei

Abstract

Channel shape design has a significant effect on the performance of a proton exchange membrane fuel cell. Inspired by the fins of cuttlefish, a bio-inspired wave-like structure is designed and applied to the channel of fuel cells. The impact of this bio-inspired wave-like channel on fuel cell performance is investigated through a three-dimensional and non-isothermal model developed in COMSOL Multiphysics. The effects of channel center amplitude and number of wave cycles on the current density and pressure drop of fuel cells are studied. Compared with fuel cells with basic straight channel and conventional wave-like channel, the results show that fuel cell with this bio-inspired wave-like channel has high efficiency and low flow resistance, which can obtain better comprehensive performance. In addition, an optimization of the waveform for bio-inspired wave-like channel is performed by genetic algorithm in consideration of the output power and power consumption of flow. The optimal channel with a center amplitude of 0.305 mm and the number of wave cycles of 3.52 improves the output power density by 2.2%.

Suggested Citation

  • Cai, Genchun & Liang, Yunmin & Liu, Zhichun & Liu, Wei, 2020. "Design and optimization of bio-inspired wave-like channel for a PEM fuel cell applying genetic algorithm," Energy, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323655
    DOI: 10.1016/j.energy.2019.116670
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    References listed on IDEAS

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    1. Wu, Horng-Wen, 2016. "A review of recent development: Transport and performance modeling of PEM fuel cells," Applied Energy, Elsevier, vol. 165(C), pages 81-106.
    2. Wang, Yun & Chen, Ken S. & Mishler, Jeffrey & Cho, Sung Chan & Adroher, Xavier Cordobes, 2011. "A review of polymer electrolyte membrane fuel cells: Technology, applications, and needs on fundamental research," Applied Energy, Elsevier, vol. 88(4), pages 981-1007, April.
    3. Yang, Woo-Joo & Wang, Hong-Yang & Lee, Dae-Hyung & Kim, Young-Bae, 2015. "Channel geometry optimization of a polymer electrolyte membrane fuel cell using genetic algorithm," Applied Energy, Elsevier, vol. 146(C), pages 1-10.
    4. Siegel, C., 2008. "Review of computational heat and mass transfer modeling in polymer-electrolyte-membrane (PEM) fuel cells," Energy, Elsevier, vol. 33(9), pages 1331-1352.
    5. Li, Wenkai & Zhang, Qinglei & Wang, Chao & Yan, Xiaohui & Shen, Shuiyun & Xia, Guofeng & Zhu, Fengjuan & Zhang, Junliang, 2017. "Experimental and numerical analysis of a three-dimensional flow field for PEMFCs," Applied Energy, Elsevier, vol. 195(C), pages 278-288.
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