Simple and complex polymer electrolyte fuel cell stack models : A comparison
(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
- Zhang, Shidong ; Beale, S. B. ; Reimer, U. ; Nishida, R. T. ; Andersson, M. LU ; Pharoah, J. G. and Lehnert, Werner
- organization
- publishing date
- 2018-01-01
- 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. and Uchida, H.
- volume
- 86
- edition
- 13
- pages
- 14 pages
- publisher
- Electrochemical Society
- 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
- 2022-07-05 02:43:22
@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}}, booktitle = {{ECS Transactions}}, 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}}, month = {{01}}, pages = {{287--300}}, publisher = {{Electrochemical Society}}, title = {{Simple and complex polymer electrolyte fuel cell stack models : A comparison}}, url = {{http://dx.doi.org/10.1149/08613.0287ecst}}, doi = {{10.1149/08613.0287ecst}}, volume = {{86}}, year = {{2018}}, }