Bridging micro- and macro-scale transport in PEM fuel cell modelling

Canadian Institute of Mining, Metallurgy and Petroleum
N. Djilali
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
15
File Size:
7764 KB
Publication Date:
Jan 1, 2005

Abstract

Many of the transport phenomena encountered in proton exchange membrane fuel cells occur intrinsically at the microscale level. Physically representative models that fully account for the salient physico-chemical and transport processes in PEM fuel cells are necessary to achieve truly predictive models that can be used with confidence to: (i) gain a better understanding of in-situ processes and couplings, (ii) explore new concepts, and (iii) support design and optimization. The development of more general, rationally based macroscale models requires use of knowledge on the microscale level to provide guidance, and to determine the required parameters and coefficients (model "constants"). In this paper we present a new membrane transport model, the binary friction membrane model (BFM2), recently developed to account for coupled protonic and water transport in polymer membranes. This general model is based on rational and physical consideration, removes several of the limitations of the empirical models used to date, and is formulated for all purfluoro-sulfonic acid membranes. The use of the BFM2 in a fuel cell model is illustrated highlighting significant performance predictions compared to existing empirical model. The second part of the paper addresses the fundamentals of two-phase transport in hydrophobic gad diffusion media. Computational and experimental visualizations resolving the microscale dynamics of water transport between the fibres of a GDL are presented, revealing transport mechanisms that are, contrary to assumptions used to date, dominated by fingering and channeling.
Citation

APA: N. Djilali  (2005)  Bridging micro- and macro-scale transport in PEM fuel cell modelling

MLA: N. Djilali Bridging micro- and macro-scale transport in PEM fuel cell modelling. Canadian Institute of Mining, Metallurgy and Petroleum, 2005.

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