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Performance evaluation of a PEM fuel cell stack with variable inlet flows under simulated driving cycle conditions

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  • Kurnia, Jundika C.
  • Sasmito, Agus P.
  • Shamim, Tariq

Abstract

Alongside battery, polymer electrolyte membrane (PEM) fuel cell stack has been a promising candidate asa power source for hybrid and electric vehicles. On this application, the dynamic performance of the PEM fuel cell is crucial in ensuring smooth operation of the vehicle. The PEM fuel cell stack should be maintained at its optimum performance while being responsive during real road driving condition which is best represented by legislative driving cycle. The present study is conducted to evaluate the performance of a PEM fuel cell stack for vehicle application subjected to New European Driving Cycle (NEDC) by utilizing computational fluid dynamics (CFD) approach. The studied PEM fuel cell stack comprises 320 cells with 1600 cm2 active catalyst area. The effect of variable inlet following NEDC profile on the PEM fuel cell performance is investigated as well. Several possible scenarios, i.e. steady inlet flows, variable inlet flows at anode, cathode, coolant and combinations of these, are examined and discussed in the light of numerical result. The results reveal that variable inlet flows have considerable effect on the total net power generated, thermal envelope and liquid saturation albeit its marginal effects on the stack performance in term of stack power.

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  • Kurnia, Jundika C. & Sasmito, Agus P. & Shamim, Tariq, 2017. "Performance evaluation of a PEM fuel cell stack with variable inlet flows under simulated driving cycle conditions," Applied Energy, Elsevier, vol. 206(C), pages 751-764.
  • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:751-764
    DOI: 10.1016/j.apenergy.2017.08.224
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    References listed on IDEAS

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    Cited by:

    1. Lin, Chen & Yan, Xiaohui & Wei, Guanghua & Ke, Changchun & Shen, Shuiyun & Zhang, Junliang, 2019. "Optimization of configurations and cathode operating parameters on liquid-cooled proton exchange membrane fuel cell stacks by orthogonal method," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Xing, Shuang & Zhao, Chen & Zou, Jiexin & Zaman, Shahid & Yu, Yang & Gong, Hongwei & Wang, Yajun & Chen, Ming & Wang, Min & Lin, Meng & Wang, Haijiang, 2022. "Recent advances in heat and water management of forced-convection open-cathode proton exchange membrane fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    3. Zhong, Di & Lin, Rui & Jiang, Zhenghua & Zhu, Yike & Liu, Dengchen & Cai, Xin & Chen, Liang, 2020. "Low temperature durability and consistency analysis of proton exchange membrane fuel cell stack based on comprehensive characterizations," Applied Energy, Elsevier, vol. 264(C).
    4. Kurnia, Jundika C. & Chaedir, Benitta A. & Sasmito, Agus P. & Shamim, Tariq, 2021. "Progress on open cathode proton exchange membrane fuel cell: Performance, designs, challenges and future directions," Applied Energy, Elsevier, vol. 283(C).
    5. Li, Yuehua & Pei, Pucheng & Wu, Ziyao & Ren, Peng & Jia, Xiaoning & Chen, Dongfang & Huang, Shangwei, 2018. "Approaches to avoid flooding in association with pressure drop in proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 224(C), pages 42-51.
    6. Kurnia, Jundika C. & Sasmito, Agus P. & Shamim, Tariq, 2019. "Advances in proton exchange membrane fuel cell with dead-end anode operation: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    7. Tolj, Ivan & Penga, Željko & Vukičević, Damir & Barbir, Frano, 2020. "Thermal management of edge-cooled 1 kW portable proton exchange membrane fuel cell stack," Applied Energy, Elsevier, vol. 257(C).
    8. Wang, Xuechao & Chen, Jinzhou & Quan, Shengwei & Wang, Ya-Xiong & He, Hongwen, 2020. "Hierarchical model predictive control via deep learning vehicle speed predictions for oxygen stoichiometry regulation of fuel cells," Applied Energy, Elsevier, vol. 276(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. Garcia-Sanchez, D. & Morawietz, T. & da Rocha, P. Gama & Hiesgen, R. & Gazdzicki, P. & Friedrich, K.A., 2020. "Local impact of load cycling on degradation in polymer electrolyte fuel cells," Applied Energy, Elsevier, vol. 259(C).

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