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Three-dimensional multiphase model of proton exchange membrane fuel cell with honeycomb flow field at the cathode side

Atyabi, Seyed Ali, Afshari, Ebrahim·2019·Journal of Cleaner Production

Abstract

Abstract The performance of a proton exchange membrane fuel cell (PEMEC) depends on appropriate design of the flow field, particularly at the cathode side of PEMEC. Uniform distribution of the parameters such as current density, temperature, and pressure, along with proper management of water and heat, enhances overall performance and durability of PEMFC. In this study, we proposed a comprehensive 3D multiphase CFD model of a PEMFC with a new flow field pattern at the cathode side. Honeycomb flow field is composed of a regular pattern of hexagonal pins which are categorized in pin-type flow fields. The behavior of such a field is numerically analyzed by solving a set of continuity, momentum, energy, species and electrochemical equations. The obtained results revealed that maximum pressure-drop across the cathode gas channel are 762 Pa, while the pressure and temperature distributions are uniform at the gas diffusion layer (GDL)-catalyst layer (CL) interface. Also, the results indicated that water content is less than 14 in the membrane, reducing the possibility of water flooding in the CL. It was also found that the possibility of hotspots and flooding phenomena in PEMFC decrease by increasing the uniformity of temperature, pressure, and oxygen mass fraction distributions.

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Metadata

Authors
Atyabi, S. A., & Afshari, E.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-03
Volume
214
Pages
738-748
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2907758941
Cited by
263
References
0
FWCI
8.72
Type
journal article
Language
en
Open access
closed

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Atyabi, S. A., & Afshari, E. (2019). Three-dimensional multiphase model of proton exchange membrane fuel cell with honeycomb flow field at the cathode side. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.12.293

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.