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Simple and complex polymer electrolyte fuel cell stack models : A comparison

Zhang, Shidong; Beale, S. B.; Reimer, U.; Nishida, R. T.; Andersson, M. LU ; Pharoah, J. G. and Lehnert, Werner (2018) Symposium on Polymer Electrolyte Fuel Cells and Electrolyzers 18, PEFC and E 2018 - AiMES 2018, ECS and SMEQ Joint International Meeting 86. p.287-300
Abstract

In this paper, two distinct polymer electrolyte fuel cell stack models are constructed: a detailed numerical model (DNM) employing a fine-scale computational mesh and a coarse-mesh approach based on a distributed resistance analogy (DRA) where diffusion terms in the transport equations are replaced by rate terms. Both methods are applied to a 5-cell, high-temperature polymer electrolyte fuel cell stack with an active area of 200 cm2 per cell. The polarization curve and local current density distributions from both the DRA and DNM are compared with experimental data, finding good agreement. Temperature, pressure, Nernst potential, and species distributions are also exhibited. The DNM displays details of fine-scale local extrema not... (More)

In this paper, two distinct polymer electrolyte fuel cell stack models are constructed: a detailed numerical model (DNM) employing a fine-scale computational mesh and a coarse-mesh approach based on a distributed resistance analogy (DRA) where diffusion terms in the transport equations are replaced by rate terms. Both methods are applied to a 5-cell, high-temperature polymer electrolyte fuel cell stack with an active area of 200 cm2 per cell. The polarization curve and local current density distributions from both the DRA and DNM are compared with experimental data, finding good agreement. Temperature, pressure, Nernst potential, and species distributions are also exhibited. The DNM displays details of fine-scale local extrema not captured by the DRA; however, the latter requires orders of magnitude less computer processor power and memory for execution. Both methods provide much finer-scale results than present experimental techniques.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
ECS Transactions
editor
Coutanceau, C.; Narayan, S.; Kim, Y.-T.; Gochi-Ponce, Y.; Pivovar, B.S.; Fuller, T.F.; Mantz, R.A.; Shirvanian, P.; Jones, D.J.; Buechi, F.; Ramani, V.K.; Fenton, J.M.; Swider-Lyons, K.E.; Schmidt, T.J.; Ayers, K.E.; Weber, A.Z.; Pintauro, P.N.; Strasser, P.; Xu, H.; Mitsushima, S.; Gasteiger, H.; Uchida, H.; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; and
volume
86
pages
14 pages
publisher
Electrochemical Society Inc.
conference name
Symposium on Polymer Electrolyte Fuel Cells and Electrolyzers 18, PEFC and E 2018 - AiMES 2018, ECS and SMEQ Joint International Meeting
conference location
Cancun, Mexico
conference dates
2018-09-30 - 2018-10-04
external identifiers
  • scopus:85058307468
ISBN
9781607685395
DOI
10.1149/08613.0287ecst
language
English
LU publication?
yes
id
f213a322-7eed-4fde-bc47-1f73ee07b9ff
date added to LUP
2018-12-22 22:54:40
date last changed
2019-01-10 12:30:39
@inproceedings{f213a322-7eed-4fde-bc47-1f73ee07b9ff,
  abstract     = {<p>In this paper, two distinct polymer electrolyte fuel cell stack models are constructed: a detailed numerical model (DNM) employing a fine-scale computational mesh and a coarse-mesh approach based on a distributed resistance analogy (DRA) where diffusion terms in the transport equations are replaced by rate terms. Both methods are applied to a 5-cell, high-temperature polymer electrolyte fuel cell stack with an active area of 200 cm2 per cell. The polarization curve and local current density distributions from both the DRA and DNM are compared with experimental data, finding good agreement. Temperature, pressure, Nernst potential, and species distributions are also exhibited. The DNM displays details of fine-scale local extrema not captured by the DRA; however, the latter requires orders of magnitude less computer processor power and memory for execution. Both methods provide much finer-scale results than present experimental techniques.</p>},
  author       = {Zhang, Shidong and Beale, S. B. and Reimer, U. and Nishida, R. T. and Andersson, M. and Pharoah, J. G. and Lehnert, Werner},
  editor       = {Coutanceau, C. and Narayan, S. and Kim, Y.-T. and Gochi-Ponce, Y. and Pivovar, B.S. and Fuller, T.F. and Mantz, R.A. and Shirvanian, P. and Jones, D.J. and Buechi, F. and Ramani, V.K. and Fenton, J.M. and Swider-Lyons, K.E. and Schmidt, T.J. and Ayers, K.E. and Weber, A.Z. and Pintauro, P.N. and Strasser, P. and Xu, H. and Mitsushima, S. and Gasteiger, H. and Uchida, H.},
  isbn         = {9781607685395},
  language     = {eng},
  location     = {Cancun, Mexico},
  month        = {01},
  pages        = {287--300},
  publisher    = {Electrochemical Society Inc.},
  title        = {Simple and complex polymer electrolyte fuel cell stack models : A comparison},
  url          = {http://dx.doi.org/10.1149/08613.0287ecst},
  volume       = {86},
  year         = {2018},
}