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Computational Fluid Dynamics Approach for Performance Prediction in a Zinc–Air Fuel Cell

Author

Listed:
  • K. David Huang

    (Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Thangavel Sangeetha

    (Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Wu-Fu Cheng

    (Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Chunyo Lin

    (Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Po-Tuan Chen

    (Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

In this study, we investigated the development of a computational fluid dynamics (CFD) model for simulating the physical and chemical processes in a zinc (Zn)–air fuel cell. Theoretically, the model was based on time-dependent, three-dimensional conservation equations of mass, momentum, and species concentration. The complex electrochemical reactions occurring within the porous electrodes were described by the Butler–Volmer equation with velocity, pressure, current density, and electronic and ionic phase potentials computed in electrodes. The Zn–air fuel cell for the present study comprised of four major components, such as a porous Zn anode electrode, air cathode electrode, liquid potassium hydroxide (KOH) electrolyte, and air flow channels. The numerical results were first compared with the experiments, showing close agreement with the predicted and experimental values of the measured voltage–current data of a single Zn–air fuel cell. Numerical results also exhibited mass fraction contours of oxygen (O 2 ) and zinc oxide (ZnO) in the mid-cross-sectional plane. A parametric study was extended to assess the performance of a Zn–air fuel cell at various cathode and electrolyte parameters.

Suggested Citation

  • K. David Huang & Thangavel Sangeetha & Wu-Fu Cheng & Chunyo Lin & Po-Tuan Chen, 2018. "Computational Fluid Dynamics Approach for Performance Prediction in a Zinc–Air Fuel Cell," Energies, MDPI, vol. 11(9), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2185-:d:164982
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    References listed on IDEAS

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    1. Pei, Pucheng & Wang, Keliang & Ma, Ze, 2014. "Technologies for extending zinc–air battery’s cyclelife: A review," Applied Energy, Elsevier, vol. 128(C), pages 315-324.
    2. Jung, Chi-Young & Kim, Tae-Hyun & Kim, Wha-Jung & Yi, Sung-Chul, 2016. "Computational analysis of the zinc utilization in the primary zinc-air batteries," Energy, Elsevier, vol. 102(C), pages 694-704.
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    Cited by:

    1. Sangeetha, Thangavel & Chen, Po-Tuan & Yan, Wei-Mon & Huang, K. David, 2020. "Enhancement of air-flow management in Zn-air fuel cells by the optimization of air-flow parameters," Energy, Elsevier, vol. 197(C).
    2. Ramin Khezri & Kridsada Jirasattayaporn & Ali Abbasi & Thandavarayan Maiyalagan & Ahmad Azmin Mohamad & Soorathep Kheawhom, 2020. "Three-Dimensional Fibrous Iron as Anode Current Collector for Rechargeable Zinc–Air Batteries," Energies, MDPI, vol. 13(6), pages 1-18, March.
    3. Thangavel Sangeetha & Po-Tuan Chen & Wu-Fu Cheng & Wei-Mon Yan & K. David Huang, 2019. "Optimization of the Electrolyte Parameters and Components in Zinc Particle Fuel Cells," Energies, MDPI, vol. 12(6), pages 1-13, March.

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