Investigation of Cross-Sectional Aspect Ratios in Straight Flow Channels on PEMFC Performance Using OpenFOAM
Issued Date
2025-01-01
Resource Type
ISSN
18761100
eISSN
18761119
Scopus ID
2-s2.0-105009223166
Journal Title
Lecture Notes in Electrical Engineering
Volume
1434 LNEE
Start Page
39
End Page
46
Rights Holder(s)
SCOPUS
Bibliographic Citation
Lecture Notes in Electrical Engineering Vol.1434 LNEE (2025) , 39-46
Suggested Citation
Suvanjumrat C., Seanglumlert C., Sripongpun J., Permpol T., Priyadumkol J., Boekfah A., Kanokmedhakul Y., Promtong M., Punurai W. Investigation of Cross-Sectional Aspect Ratios in Straight Flow Channels on PEMFC Performance Using OpenFOAM. Lecture Notes in Electrical Engineering Vol.1434 LNEE (2025) , 39-46. 46. doi:10.1007/978-981-96-8154-9_5 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/111076
Title
Investigation of Cross-Sectional Aspect Ratios in Straight Flow Channels on PEMFC Performance Using OpenFOAM
Author's Affiliation
Corresponding Author(s)
Other Contributor(s)
Abstract
In this study, a three-dimensional, multiphase, non-isothermal computational fluid dynamics (CFD) model was developed to investigate the impact of varying channel cross-sectional aspect ratios on power density, pressure drop, and transport phenomena in a single straight-channel proton-exchange membrane fuel cell (PEMFC). Five aspect ratios (width-to-depth ratios of 0.5, 0.75, 1.0, 1.5, and 2.0) were evaluated using the open-source CFD software, OpenFOAM. The findings indicate that channel aspect ratio significantly affects power density, especially at medium to high current densities. The aspect ratio of 1.0 achieved the highest power density, suggesting optimal performance, while the aspect ratio of 2.0 produced the lowest power density. Additionally, the greatest pressure drop occurred at an aspect ratio of 0.5, with the lowest pressure drop observed at an aspect ratio of 2.0. These results highlight the importance of channel geometry in enhancing PEMFC efficiency and provide valuable insights for optimizing fuel cell design.
