2006
DOI: 10.1016/j.jpowsour.2006.04.097
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Effects of transport scale on heat/mass transfer and performance optimization for solid oxide fuel cells

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Cited by 79 publications
(30 citation statements)
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“…Lin et al [15] provided a phenomenological model and analytical expressions to estimate the rib effects on the concentration and ohimc polarizations of anode-supported SOFC stacks. Ji et al [16] showed that the terminal output of a SOFC stack depended strongly on the contact resistance. Jeon et al [17] proposed a detailed microstructural model and examined systematically the influence of the rib width, pitch width and the contact area specific resistance (ASR contact ) on the stack-cell performance.…”
Section: Introductionmentioning
confidence: 99%
“…Lin et al [15] provided a phenomenological model and analytical expressions to estimate the rib effects on the concentration and ohimc polarizations of anode-supported SOFC stacks. Ji et al [16] showed that the terminal output of a SOFC stack depended strongly on the contact resistance. Jeon et al [17] proposed a detailed microstructural model and examined systematically the influence of the rib width, pitch width and the contact area specific resistance (ASR contact ) on the stack-cell performance.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, in order to provide a deeper understanding of all processes in a fuel cell, multi-component species transport and heat transfer phenomena should be modelled by solving the wellknown conservation equations for mass, momentum, species and electrical quantities [6,13,14,35]. With the introduction of commercial Computational Fluid Dynamic (CFD) codes, mainly based on finite volumes technique, it was possible to remove some of the approximations used in initial models [7,[36][37][38][39][40][41][42][43][44][45], by solving the above mentioned conservation equations [7,22,37,39,41,[45][46][47][48][49][50]. Nevertheless, commercial CFD programs had to be further developed in order to predict the electrochemical quantities of interest in fuel cells, often making it difficult to overcome some assumptions because of the reduced flexibility of these codes [7,9,36].…”
Section: Introductionmentioning
confidence: 99%
“…For mass transport in the porous electrode, the FM, the SMM, as well as the dusty-gas model (DGM), have been employed using detailed or simplified formulations. Models that simulate only the anode (Suwanwarangkul et al, 2003;Yakabe et al, 2000Yakabe et al, , 2004Costamagna et al, 1998) or the cathode Svensson et al, 1996;Chen et al, 2004), a single SOFC cell (Zhu et al, 2005;Zhu and Kee, 2003;Achenbach, 1994;Inui et al, 2006;Iwata et al, 2000;Ji et al, 2006) or a whole stack (Recknagle et al, 2003;Petruzzi et al, 2003;Chan and Ding, 2005;Burt et al, 2004) have been reported. Additionally, both steady state (Aguiar et al, 2002(Aguiar et al, , 2004 and dynamic models (Iora et al, 2005;Achenbach, 1995;Xue et al, 2004Xue et al, , 2005Petruzzi et al, 2003;Aguiar et al, 2005;Magistri et al, 2005) have been developed.…”
Section: Introductionmentioning
confidence: 99%