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Application of computational fluid dynamics to the analysis of geometrical features in PEM fuel cells flow fields with the aid of impedance spectroscopy

Author

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  • Baricci, Andrea
  • Mereu, Riccardo
  • Messaggi, Mirko
  • Zago, Matteo
  • Inzoli, Fabio
  • Casalegno, Andrea

Abstract

Polymer electrolyte membrane fuel cells are devices that produce power by direct conversion of hydrogen via electrochemical route and are promising for energy applications, mainly because no direct pollutants are produced during operation. Automotive is the major industrial application for polymer fuel cells, which could replace internal combustion engines as power sources, conditionally to the achievement of a significant cost reduction. Increasing power density and reducing the loading of precious metal based catalysts is thus a technological priority. In this direction, the geometry of the flow field plays a dramatic role: at state of the art, hydrogen and oxygen are distributed over the fuel cell area through channels. Non-uniform distribution of reactants, which results from non-optimal flow field design, determines heterogeneity during operation, loss of efficiency and accelerates ageing. In this work, computational fluid dynamics is used to analyse oxygen transport in a low platinum polymer electrolyte fuel cell for automotive applications. Analysis focuses on the effect of 3D geometrical features that are present in state of the art flow fields. Comparison of three flow fields (straight channel, serpentine and interdigitated) is performed and it is observed that the contact points between the GDL and the current collector determine significant performance loss because of sluggish oxygen transport in these regions. Nevertheless, a trade off with electron transport through the GDL must be considered. To support the conclusions of the work, an original methodology is adopted, by simulating electrochemical impedance spectroscopy, an experimental transient technique that allows to selectively evidence the effect of mass transport from other physical phenomena.

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  • Baricci, Andrea & Mereu, Riccardo & Messaggi, Mirko & Zago, Matteo & Inzoli, Fabio & Casalegno, Andrea, 2017. "Application of computational fluid dynamics to the analysis of geometrical features in PEM fuel cells flow fields with the aid of impedance spectroscopy," Applied Energy, Elsevier, vol. 205(C), pages 670-682.
  • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:670-682
    DOI: 10.1016/j.apenergy.2017.08.017
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    References listed on IDEAS

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    Cited by:

    1. Rostami, Leila & Haghshenasfard, Masoud & Sadeghi, Morteza & Zhiani, Mohammad, 2022. "A 3D CFD model of novel flow channel designs based on the serpentine and the parallel design for performance enhancement of PEMFC," Energy, Elsevier, vol. 258(C).
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    3. Su, Guoqing & Yang, Daijun & Xiao, Qiangfeng & Dai, Haiqin & Zhang, Cunman, 2021. "Effects of vortexes in feed header on air flow distribution of PEMFC stack: CFD simulation and optimization for better uniformity," Renewable Energy, Elsevier, vol. 173(C), pages 498-506.
    4. Antonio Sorrentino & Kai Sundmacher & Tanja Vidakovic-Koch, 2020. "Polymer Electrolyte Fuel Cell Degradation Mechanisms and Their Diagnosis by Frequency Response Analysis Methods: A Review," Energies, MDPI, vol. 13(21), pages 1-28, November.
    5. Zhang, Xian-Wen & Wang, Xue-Jian & Cheng, Xiao-Zhang & Jin, Lei & Zhu, Jian-Wei & Zhou, Tao-Tao, 2020. "Numerical analysis of global and local performance variations of proton exchange membrane fuel cell with different bend layouts and flow directions," Energy, Elsevier, vol. 207(C).
    6. Wang, Qing-Hui & Yang, Song & Zhou, Wei & Li, Jing-Rong & Xu, Zhi-Jia & Ke, Yu-Zhi & Yu, Wei & Hu, Guang-Hua, 2018. "Optimizing the porosity configuration of porous copper fiber sintered felt for methanol steam reforming micro-reactor based on flow distribution," Applied Energy, Elsevier, vol. 216(C), pages 243-261.
    7. Zhao, Lei & Hong, Jichao & Xie, Jiaping & Jiang, Shangfeng & Wei, Xuezhe & Ming, Pingwen & Dai, Haifeng, 2023. "Investigation of local sensitivity for vehicle-oriented fuel cell stacks based on electrochemical impedance spectroscopy," Energy, Elsevier, vol. 262(PA).
    8. Yuan, Hao & Dai, Haifeng & Ming, Pingwen & Li, Sida & Wei, Xuezhe, 2022. "A new insight into the effects of agglomerate parameters on internal dynamics of proton exchange membrane fuel cell by an advanced impedance dimension model," Energy, Elsevier, vol. 253(C).
    9. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Saldaña, G. & Oñederra, O., 2019. "Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    10. Xiong, Kangning & Wu, Wei & Wang, Shuangfeng & Zhang, Lin, 2021. "Modeling, design, materials and fabrication of bipolar plates for proton exchange membrane fuel cell: A review," Applied Energy, Elsevier, vol. 301(C).
    11. Giacoppo, Giosuè & Hovland, Scott & Barbera, Orazio, 2019. "2 kW Modular PEM fuel cell stack for space applications: Development and test for operation under relevant conditions," Applied Energy, Elsevier, vol. 242(C), pages 1683-1696.
    12. Taghiabadi, Mohammad Mohammadi & Zhiani, Mohammad & Silva, Valter, 2019. "Effect of MEA activation method on the long-term performance of PEM fuel cell," Applied Energy, Elsevier, vol. 242(C), pages 602-611.
    13. Wang, Hanqing & Gaillard, Arnaud & Hissel, Daniel, 2019. "A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles," Renewable Energy, Elsevier, vol. 141(C), pages 124-138.

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