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Numerical simulations for optimizing the liquid water transport in the gas diffusion layer and gas channels of a PEMFC

Yang, J; Ma, X; Lei, T; Luo, KH; Shuai, S; (2019) Numerical simulations for optimizing the liquid water transport in the gas diffusion layer and gas channels of a PEMFC. Qinghua Daxue Xuebao/Journal of Tsinghua University , 59 (7) pp. 580-586. 10.16511/j.cnki.qhdxxb.2019.26.013. Green open access

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Abstract

The multiple-relation-time (MRT) lattice Boltzmann method with a high-density-ratio two-phase model was used to simulate liquid water transport in the gas diffusion layer (GDL) and gas channels of a high-current-density fuel cell. The results show the effects of Reynolds number, perforation shapes and locations in the GDL and the angles of the wave-like gas channels on the water transport. The results show that the GDL and the gas channels should be optimized together to improve the water removal rate. In addition, the results show that the water begins running out of the GDL at earlier times as the Reynolds number increases with the times not related to the wave-like gas channel angle or the perforation shape or location. The structural optimization of the perforated GDL and the wave-like gas channels can guide future designs of fuel cells with high current densities.

Type: Article
Title: Numerical simulations for optimizing the liquid water transport in the gas diffusion layer and gas channels of a PEMFC
Open access status: An open access version is available from UCL Discovery
DOI: 10.16511/j.cnki.qhdxxb.2019.26.013
Publisher version: http://caod.oriprobe.com/articles/56692802/Numeric...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10086768
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