2015
DOI: 10.1016/j.ijhydene.2014.12.091
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An analytical model for hydrogen alkaline anion exchange membrane fuel cell

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Cited by 46 publications
(36 citation statements)
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References 33 publications
(22 reference statements)
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“…Several models have been created to simulate and understand water managementd uring operation of an AEMFC. [76][77][78][79][80][81] Those modelsw erev alidated at low and moderate current densities, at whicht he carbonate process effect might be significant. Ar ecent study reported an umerical model able to simulate AEMFC experimental polarization data, as well as transient data for cells operating at high current densities.…”
Section: à Effectmentioning
confidence: 98%
See 1 more Smart Citation
“…Several models have been created to simulate and understand water managementd uring operation of an AEMFC. [76][77][78][79][80][81] Those modelsw erev alidated at low and moderate current densities, at whicht he carbonate process effect might be significant. Ar ecent study reported an umerical model able to simulate AEMFC experimental polarization data, as well as transient data for cells operating at high current densities.…”
Section: à Effectmentioning
confidence: 98%
“…An analytical model of an AEMFC can provide direct relationships between performance, design parameters, and operating conditions, as well as being time and computationally efficient. Several models have been created to simulate and understand water management during operation of an AEMFC . Those models were validated at low and moderate current densities, at which the carbonate process effect might be significant.…”
Section: Aemfc Models Simulating the Hco3−/co32− Effectmentioning
confidence: 98%
“…21,45 It is observed that better-formed porosity gradients in CLs allow the membrane to operate in an effectively higher hydrated state, increasing membrane conductivity (Fig. S7).…”
Section: 364344mentioning
confidence: 99%
“…Both effects may occur in different regions of the same polarization curve, and the addition of backpressure may significantly alter this behavior. 20,21 Given the highly sensitive and parameter-heavy nature of characterizing materials as MEAs in situ, the heavy reliance on peak power densities, rather than more rigorous ex situ characterization, hinders discernment and comparison of emerging anion-exchange materials. …”
mentioning
confidence: 99%
“…Sommer et al [22] also developed a transient model for AEM fuel cell to predict the cell response with respect to the physical properties and operation/design parameters. A series of multi-dimensional multiphase modeling work has been conducted for hydrogen AEM fuel cell in the last several years [23][24][25][26][27][28][29], pointing out the importance of water management in AEM fuel cell.…”
Section: Introductionmentioning
confidence: 99%