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The optimization of an innovative interdigitated flow field proton exchange membrane fuel cell by using artificial intelligence

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  • Asadi, Mohammad Reza
  • Ghasabehi, Mehrdad
  • Ghanbari, Sina
  • Shams, Mehrzad

Abstract

A suitable flow field is vital for the efficient performance of proton exchange membrane fuel cells. This study proposes an innovative interdigitated flow field configuration to enhance mass transfer, resulting in improved performance. A wave pattern is repeated in the flow field, and the flow field is called the wave interdigitated flow field. A three-dimensional, multiphase CFD model is employed to simulate the fuel cell. The wave interdigitated flow field is compared with serpentine, simple interdigitated, tapered interdigitated, and spiral interdigitated flow fields. Mass transfer, reactant distribution, and water management are investigated. The wave interdigitated has the most convective and diffusive transfer of reactants, resulting in the highest reaction rate. Its power density is 27.3 %, 19.7 %, 17.5 %, and 14.2 % higher than that of the spiral interdigitated, tapered interdigitated, simple interdigitated, and serpentine flow fields. It brings the most uniform water saturation, reducing the possibility of flooding. Saturated reactants can increase the generated current and exacerbate water saturation. Water saturation and high current density were selected as objectives. A code was developed to generate and optimize a surrogate model based on artificial intelligence. The optimum conditions result in a water saturation of 0.015 and a power density of 3 W cm−2.

Suggested Citation

  • Asadi, Mohammad Reza & Ghasabehi, Mehrdad & Ghanbari, Sina & Shams, Mehrzad, 2024. "The optimization of an innovative interdigitated flow field proton exchange membrane fuel cell by using artificial intelligence," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035259
    DOI: 10.1016/j.energy.2023.130131
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    References listed on IDEAS

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    1. Mark K. Debe, 2012. "Electrocatalyst approaches and challenges for automotive fuel cells," Nature, Nature, vol. 486(7401), pages 43-51, June.
    2. Carton, J.G. & Olabi, A.G., 2010. "Design of experiment study of the parameters that affect performance of three flow plate configurations of a proton exchange membrane fuel cell," Energy, Elsevier, vol. 35(7), pages 2796-2806.
    3. Dong, Pengcheng & Xie, Gongnan & Ni, Meng, 2021. "Improved energy performance of a PEM fuel cell by introducing discontinuous S-shaped and crescent ribs into flowing channels," Energy, Elsevier, vol. 222(C).
    4. Wilberforce, Tabbi & El Hassan, Zaki & Ogungbemi, Emmanuel & Ijaodola, O. & Khatib, F.N. & Durrant, A. & Thompson, J. & Baroutaji, A. & Olabi, A.G., 2019. "A comprehensive study of the effect of bipolar plate (BP) geometry design on the performance of proton exchange membrane (PEM) fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 236-260.
    5. 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).
    6. Yue, Meiling & Lambert, Hugo & Pahon, Elodie & Roche, Robin & Jemei, Samir & Hissel, Daniel, 2021. "Hydrogen energy systems: A critical review of technologies, applications, trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    7. Kui Jiao & Jin Xuan & Qing Du & Zhiming Bao & Biao Xie & Bowen Wang & Yan Zhao & Linhao Fan & Huizhi Wang & Zhongjun Hou & Sen Huo & Nigel P. Brandon & Yan Yin & Michael D. Guiver, 2021. "Designing the next generation of proton-exchange membrane fuel cells," Nature, Nature, vol. 595(7867), pages 361-369, July.
    8. 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.
    9. 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).
    10. Yuan, Wei & Tang, Yong & Pan, Minqiang & Li, Zongtao & Tang, Biao, 2010. "Model prediction of effects of operating parameters on proton exchange membrane fuel cell performance," Renewable Energy, Elsevier, vol. 35(3), pages 656-666.
    11. Kim, Kyunghyun & Kim, Jaeyeon & Choi, Heesoo & Kwon, Obeen & Jang, Yujae & Ryu, Sangbong & Lee, Heeyun & Shim, Kyuhwan & Park, Taehyun & Cha, Suk Won, 2023. "Pre-diagnosis of flooding and drying in proton exchange membrane fuel cells by bagging ensemble deep learning models using long short-term memory and convolutional neural networks," Energy, Elsevier, vol. 266(C).
    12. Ramiar, A. & Mahmoudi, A.H. & Esmaili, Q. & Abdollahzadeh, M., 2016. "Influence of cathode flow pulsation on performance of proton exchange membrane fuel cell with interdigitated gas distributors," Energy, Elsevier, vol. 94(C), pages 206-217.
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    2. Kuang, Jinbo & Fu, Jianqin & Zhou, Peng & Zhang, Guanjie & Sun, Xilei, 2025. "Triangular baffle design for proton exchange membrane fuel cell bipolar-plate channels evaluated by decoupled multi-physics analysis," Energy, Elsevier, vol. 340(C).
    3. Tamilarasan, Sathesh & Wang, Chong-Kai & Kuan, Yean-Der & Shih, Yang-Cheng & Stachiv, Ivo, 2026. "Machine learning as a catalyst for PEMFC optimization: A comprehensive review from flow fields to system integration with a multiscale perspective on research and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PA).
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    5. Ghanbari, Sina & Ghasabehi, Mehrdad & Asadi, Mohammad Reza & Shams, Mehrzad, 2024. "An inquiry into transport phenomena and artificial intelligence-based optimization of a novel bio-inspired flow field for proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 376(PA).

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