2008
DOI: 10.1002/apj.195
|View full text |Cite
|
Sign up to set email alerts
|

Numerical model for polymer electrolyte membrane fuel cells with experimental application and validation

Abstract: The aim of this paper is to present a simple 3D computational model of a Polymer Electrolyte Membrane Fuel Cell (PEMFC) that simulates over time the heat distribution, energy and mass balance of the reactant gas flows in the fuel cell including pressure drop, humidity and liquid water. Although this theoretical model can be adapted to any type of PEMFC, for verification of the model and to present different analysis, it has been adapted to a single cell test fixture. The model parameters were adjusted through … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2010
2010
2011
2011

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…In GDLs, the interaction between a pair of species (i,j) are characterized by the binary diffusion coefficient (9): [6] The nominal values at reference temperature and pressure are presented in Table. 2, (9) [7] The drag coefficient, n d , is the number of water molecules per proton as, Springer (11) U O [8] The ionic conductivity, ı m , depends on the water content and the temperature (12)-(13) for Ȝ>1: …”
Section: Ii2 Governing Equationsmentioning
confidence: 99%
See 2 more Smart Citations
“…In GDLs, the interaction between a pair of species (i,j) are characterized by the binary diffusion coefficient (9): [6] The nominal values at reference temperature and pressure are presented in Table. 2, (9) [7] The drag coefficient, n d , is the number of water molecules per proton as, Springer (11) U O [8] The ionic conductivity, ı m , depends on the water content and the temperature (12)-(13) for Ȝ>1: …”
Section: Ii2 Governing Equationsmentioning
confidence: 99%
“…U O [8] The ionic conductivity, ı m , depends on the water content and the temperature ( 12)-( 13) for Ȝ>1:…”
Section: Multimentioning
confidence: 99%
See 1 more Smart Citation