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Numerical investigation on the performance enhancement of PEMFC with gradient sinusoidal-wave fins in cathode channel

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  • Chen, Zhijie
  • Zuo, Wei
  • Zhou, Kun
  • Li, Qingqing
  • Yi, Zhengming
  • Huang, Yuhan

Abstract

As the cathode channel structure plays significant effects on the performance of the proton exchange membrane fuel cell (PEMFC), in this work, a 3D multi-phase model of PEMFC is established and effects of cathode channel structure (conventional channel, normal sinusoidal-wave fins and gradient sinusoidal-wave fins) on the performance of PEMFC are numerically investigated. Results indicate that the PEMFC with gradient sinusoidal-wave fins in cathode channel can achieve higher power density and more uniform membrane current density. This is due to that the gas velocity in cathode channel with gradient sinusoidal-wave fins is significantly increased, leading to better oxygen transport and liquid water removal. Furthermore, effects of the geometrical parameters of gradient sinusoidal-wave fins on the electricity generation performance, membrane current density, and mass fraction of oxygen and liquid water of PEMFC are analyzed and discussed. It is found that the optimum waveform depth growth rate and wavelength of the gradient sinusoidal-wave fins is 0.035 and 2.5 mm, respectively. At 0.5 V, the maximum power density of the PEMFC with gradient sinusoidal-wave fins is 5.3% higher than that of the PEMFC with conventional channel.

Suggested Citation

  • Chen, Zhijie & Zuo, Wei & Zhou, Kun & Li, Qingqing & Yi, Zhengming & Huang, Yuhan, 2024. "Numerical investigation on the performance enhancement of PEMFC with gradient sinusoidal-wave fins in cathode channel," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032887
    DOI: 10.1016/j.energy.2023.129894
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    References listed on IDEAS

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    1. Cai, Yonghua & Fang, Zhou & Chen, Ben & Yang, Tianqi & Tu, Zhengkai, 2018. "Numerical study on a novel 3D cathode flow field and evaluation criteria for the PEM fuel cell design," Energy, Elsevier, vol. 161(C), pages 28-37.
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    1. Li, Feng & Zuo, Wei & Zhou, Kun & Li, Qingqing & Huang, Yuhan & Zhang, Guangde, 2024. "State-of-charge estimation of lithium-ion battery based on second order resistor-capacitance circuit-PSO-TCN model," Energy, Elsevier, vol. 289(C).

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