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

1
Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
2
Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
*
Author to whom correspondence should be addressed.
Energies 2018, 11(9), 2185; https://doi.org/10.3390/en11092185
Received: 26 July 2018 / Revised: 9 August 2018 / Accepted: 17 August 2018 / Published: 21 August 2018
(This article belongs to the Section Energy Sources)
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 (O2) 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. View Full-Text
Keywords: Zn–air fuel cell; electrochemistry; computational fluid dynamics; Butler–Volmer equation Zn–air fuel cell; electrochemistry; computational fluid dynamics; Butler–Volmer equation
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MDPI and ACS Style

Huang, K.D.; Sangeetha, T.; Cheng, W.-F.; Lin, C.; Chen, P.-T. Computational Fluid Dynamics Approach for Performance Prediction in a Zinc–Air Fuel Cell. Energies 2018, 11, 2185.

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