Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-11585
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Modelling the effects of using gas diffusion layers with patterned wettability for advanced water management in proton exchange membrane fuel cells
Authors: Dujc, Jaka
Forner-Cuenca, Antoni
Marmet, Philip
Cochet, Magali
Vetter, Roman
Schumacher, Jürgen
Boillat, Pierre
DOI: 10.1115/1.4038626
10.21256/zhaw-11585
Published in: Journal of Electrochemical Energy Conversion and Storage
Volume(Issue): 15
Issue: 2
Issue Date: Jan-2018
Publisher / Ed. Institution: The American Society of Mechanical Engineers
ISSN: 2381-6872
2381-6910
Language: English
Subjects: Modeling; Water management; Patterned GDL; Proton exchange membrane fuel cells
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: We present a macrohomogeneous two-phase model of a pro- ton exchange membrane fuel cell (PEFC). The model takes into account the mechanical compression of the gas diffusion layer (GDL), the two-phase flow of water, the transport of the gas species and the electrochemical reaction of the reactand gases. The model was used to simulate the behavior of a PEFC with a patterned GDL. The results of the reduced model, which considers only the mechanical compression and the two-phase flow, are compared to the experimental ex-situ imbibition data obtained by neutron radiography imaging. The results are in good agreement. Additionally, by using all the model features, a simulation of an operating fuel cell has been performed to study the intricate couplings in an operating fuel cell and to examine the patterned GDL effects. The model confirms that the patterned GDL design liberates the pre-defined domains from liquid water and thus locally increases the oxygen diffusivity. 
URI: https://digitalcollection.zhaw.ch/handle/11475/11585
Fulltext version: Submitted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in collections:Publikationen School of Engineering

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Dujc, J., Forner-Cuenca, A., Marmet, P., Cochet, M., Vetter, R., Schumacher, J., & Boillat, P. (2018). Modelling the effects of using gas diffusion layers with patterned wettability for advanced water management in proton exchange membrane fuel cells. Journal of Electrochemical Energy Conversion and Storage, 15(2). https://doi.org/10.1115/1.4038626
Dujc, J. et al. (2018) ‘Modelling the effects of using gas diffusion layers with patterned wettability for advanced water management in proton exchange membrane fuel cells’, Journal of Electrochemical Energy Conversion and Storage, 15(2). Available at: https://doi.org/10.1115/1.4038626.
J. Dujc et al., “Modelling the effects of using gas diffusion layers with patterned wettability for advanced water management in proton exchange membrane fuel cells,” Journal of Electrochemical Energy Conversion and Storage, vol. 15, no. 2, Jan. 2018, doi: 10.1115/1.4038626.
DUJC, Jaka, Antoni FORNER-CUENCA, Philip MARMET, Magali COCHET, Roman VETTER, Jürgen SCHUMACHER und Pierre BOILLAT, 2018. Modelling the effects of using gas diffusion layers with patterned wettability for advanced water management in proton exchange membrane fuel cells. Journal of Electrochemical Energy Conversion and Storage. Januar 2018. Bd. 15, Nr. 2. DOI 10.1115/1.4038626
Dujc, Jaka, Antoni Forner-Cuenca, Philip Marmet, Magali Cochet, Roman Vetter, Jürgen Schumacher, and Pierre Boillat. 2018. “Modelling the Effects of Using Gas Diffusion Layers with Patterned Wettability for Advanced Water Management in Proton Exchange Membrane Fuel Cells.” Journal of Electrochemical Energy Conversion and Storage 15 (2). https://doi.org/10.1115/1.4038626.
Dujc, Jaka, et al. “Modelling the Effects of Using Gas Diffusion Layers with Patterned Wettability for Advanced Water Management in Proton Exchange Membrane Fuel Cells.” Journal of Electrochemical Energy Conversion and Storage, vol. 15, no. 2, Jan. 2018, https://doi.org/10.1115/1.4038626.


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