Grand canonical Monte Carlo study on water agglomerations within a polymer electrolyte membrane fuel cell gas diffusion layer

被引:20
作者
Seidenberger, K. [1 ]
Wilhelm, F. [1 ]
Haussmann, J. [1 ]
Markoetter, H. [2 ]
Manke, I. [2 ]
Scholta, J. [1 ]
机构
[1] Zentrum Sonnenenergie & Wasserstoff Forsch Baden, Helmholtzstr 8, D-89081 Ulm, Germany
[2] Helmholtz Zentrum Berlin Mat & Energie GmbH HZB, D-14109 Berlin, Germany
关键词
PEMFC; Grand canonical Monte Carlo; Synchrotron tomography; Water visualization within the GDL; Inverse gas chromatography; DISPERSIVE SURFACE-ENERGY; X-RAY RADIOGRAPHY; CAPILLARY-PRESSURE; 2-PHASE FLOW; ACID-BASE; CONTACT-ANGLE; POROUS-MEDIA; TRANSPORT; WETTABILITY; NETWORK;
D O I
10.1016/j.jpowsour.2013.02.006
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Lifetime and durability is one of the most relevant topics regarding PEMFCs. Especially, investigations on water agglomerations within the porous structure of the GDL have become more and more important to completely understand the effects on the fuel cell performance. Besides experimental visualization techniques which help to gain deeper insight the water distribution within the GDL, also different modelling approaches have been developed. We are using and further developing a Monte Carlo model for simulating and analysing the water inventory within PEMFC GDLs taking into account both movements and phase transitions. This model can be employed to identify preferred regions for water agglomerations within the porous structure of the GDL dependent on the surface properties, i.e. the PTFE coverage and the individual structure of the respective material. Our model can use real GDL structures as model input which allows for a direct comparison of the resulting mean water distribution obtained by simulations to experimental results from synchrotron tomography measurements on the same GDL structures. A very good qualitative agreement of the amount of water is found and also preferred regions for water agglomerations are identified consistently for both experiment and simulation. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:628 / 641
页数:14
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