Computational Fluid Dynamics Approach for Performance Prediction in a Zinc–Air Fuel Cell
K. David Huang,
Thangavel Sangeetha,
Wu-Fu Cheng,
Chunyo Lin and
Po-Tuan Chen
Additional contact information
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
Energies, 2018, vol. 11, issue 9, 1-13
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.
Keywords: Zn–air fuel cell; electrochemistry; computational fluid dynamics; Butler–Volmer equation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:9:p:2185-:d:164982
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