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Performance Analysis of PEMFC with Single-Channel and Multi-Channels on the Impact of the Geometrical Model

Author

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  • Masli Irwan Rosli

    (Fuel Cell Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
    Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia)

  • Bee Huah Lim

    (Fuel Cell Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia)

  • Edy Herianto Majlan

    (Fuel Cell Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia)

  • Teuku Husaini

    (Department of Green Energy, Petronas Research Sdn. Bhd. (PRSB), Bandar Baru Bangi 43650, Selangor, Malaysia)

  • Wan Ramli Wan Daud

    (Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Kuala Lumpur, Malaysia)

  • Soh Fong Lim

    (Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia)

Abstract

A low-performance fuel cell significantly hinders the application and commercialization of fuel cell technology. Computational fluid dynamics modeling could predict and evaluate the performance of a proton exchange membrane fuel cell (PEMFC) with less time consumption and cost-effectiveness. PEMFC performance is influenced by the distribution of reactants, water, heat, and current density. An uneven distribution of reactants leads to the localization of current density that produces heat and water, which are the by-products of the reaction to be concentrated at the location. The simplification of model geometry can affect performance prediction. Numerical investigations are commonly validated with experimental results to validate the method’s accuracy. Poor prediction of PEMFC results has not been discussed. Thus, this study aims to predict the effect of geometry modeling on fuel cell performance. Two contrasting 3D model dimensions, particularly single-channel and small-scale seven-channel models were employed. Both 3D models are correlated with a multi-channel model to assess the effect of modeling dimension on the PEMFC performance. Similar stoichiometry and channel dimensions were imposed on each model, where theoretically, the PEMFC performance should be identical. The simulation findings showed that the single-channel model produced a higher current density per cm 2 . From the contours of water and current density, the single-channel model does not show flow distribution. Thus, this leads to a higher current density generation than the small-scale model. The prediction of PEMFC performance is not thorough for the single-channel model. Therefore, the prediction of PEMFC performance is adaptable in a small-scale or comprehensive flow field.

Suggested Citation

  • Masli Irwan Rosli & Bee Huah Lim & Edy Herianto Majlan & Teuku Husaini & Wan Ramli Wan Daud & Soh Fong Lim, 2022. "Performance Analysis of PEMFC with Single-Channel and Multi-Channels on the Impact of the Geometrical Model," Energies, MDPI, vol. 15(21), pages 1-14, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7960-:d:954355
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    References listed on IDEAS

    as
    1. Perng, Shiang-Wuu & Wu, Horng-Wen, 2015. "A three-dimensional numerical investigation of trapezoid baffles effect on non-isothermal reactant transport and cell net power in a PEMFC," Applied Energy, Elsevier, vol. 143(C), pages 81-95.
    2. Lim, B.H. & Majlan, E.H. & Daud, W.R.W. & Rosli, M.I. & Husaini, T., 2019. "Three-dimensional study of stack on the performance of the proton exchange membrane fuel cell," Energy, Elsevier, vol. 169(C), pages 338-343.
    3. Zakaria, Zulfirdaus & Kamarudin, Siti Kartom & Abd Wahid, Khairul Anuar & Abu Hassan, Saiful Hasmady, 2021. "The progress of fuel cell for malaysian residential consumption: Energy status and prospects to introduction as a renewable power generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. Wang, Bowen & Wu, Kangcheng & Xi, Fuqiang & Xuan, Jin & Xie, Xu & Wang, Xiaoyang & Jiao, Kui, 2019. "Numerical analysis of operating conditions effects on PEMFC with anode recirculation," Energy, Elsevier, vol. 173(C), pages 844-856.
    5. Chen, Huicui & Liu, Biao & Zhang, Tong & Pei, Pucheng, 2019. "Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions," Applied Energy, Elsevier, vol. 255(C).
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