Cho, JIS;
Marquis, J;
Trogadas, P;
Neville, TP;
Brett, DJL;
Coppens, MO;
(2020)
Optimizing the architecture of lung-inspired fuel cells.
Chemical Engineering Science
, 215
, Article 115375. 10.1016/j.ces.2019.115375.
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Abstract
A finite-element model of a polymer electrolyte membrane fuel cell (PEMFC) with fractal branching, lung-inspired flow-field is presented. The effect of the number of branching generations N on the thickness of the gas diffusion layer (GDL) and fuel cell performance is determined. Introduction of a fractal flow-field to homogenize reactant concentration at the flow-field | GDL interface allows for the use of thinner GDLs. The model is coupled with an optimized cathode catalyst layer microstructure with respect to platinum utilization and power density, revealing that the 2020 DoE target of ~8 kW/gPt is met at N = 4 generations, and a platinum utilization of ~36 kW/gPt is achieved at N = 6 generations. In terms of the overall fuel cell stack architecture, our results indicate that either the platinum loading or the number of cells in the stack can be reduced by ~75%, the latter option of which, when combined with a 100 µm GDL, can lead to >80% increase in the volumetric power density of the fuel cell stack.
Type: | Article |
---|---|
Title: | Optimizing the architecture of lung-inspired fuel cells |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.ces.2019.115375 |
Publisher version: | https://doi.org/10.1016/j.ces.2019.115375 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Lung-inspired, Fractal, Flow-field, Gas diffusion layer, Pt utilization |
UCL classification: | UCL 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 Chemical Engineering |
URI: | https://discovery.ucl.ac.uk/id/eprint/10088916 |




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