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Transport parameter correlations for digitally created PEFC gas diffusion layers by using openPNM

Encalada-Dávila, Ángel ; Espinoza-Andaluz, Mayken LU ; Barzola-Monteses, Julio ; Li, Shian LU and Andersson, Martin LU (2021) In Processes 9(7).
Abstract

A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport... (More)

A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport phenomena are mimicked, transport parameters related to the fluid flow and mass diffusion are computed. The GDLs are approximated to the carbon paper represented as a grouped package of carbon fibers. Several correlations, based on the fiber diameter, to predict their transport properties are proposed. The digitally created GDLs and the transport phenomena have been modeled using the open-source library named Open Pore Network Modeling (OpenPNM). The proposed correlations show a good fit with the obtained data with an R-square of approximately 0.98.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Delaunay tessellation, Gas diffusion layer, OpenPNM, Polymer electrolyte fuel cell, Transport parameters, Voronoi algorithm
in
Processes
volume
9
issue
7
article number
1141
publisher
MDPI AG
external identifiers
  • scopus:85110084791
ISSN
2227-9717
DOI
10.3390/pr9071141
language
English
LU publication?
yes
additional info
Funding Information: Funding: This work has been funded by ESPOL through the grant number FIMCP-CERA-05-2017. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
id
e71ce8e8-6268-4f70-b2bb-945418f5796b
date added to LUP
2021-08-09 20:16:03
date last changed
2022-04-27 02:58:33
@article{e71ce8e8-6268-4f70-b2bb-945418f5796b,
  abstract     = {{<p>A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport phenomena are mimicked, transport parameters related to the fluid flow and mass diffusion are computed. The GDLs are approximated to the carbon paper represented as a grouped package of carbon fibers. Several correlations, based on the fiber diameter, to predict their transport properties are proposed. The digitally created GDLs and the transport phenomena have been modeled using the open-source library named Open Pore Network Modeling (OpenPNM). The proposed correlations show a good fit with the obtained data with an R-square of approximately 0.98.</p>}},
  author       = {{Encalada-Dávila, Ángel and Espinoza-Andaluz, Mayken and Barzola-Monteses, Julio and Li, Shian and Andersson, Martin}},
  issn         = {{2227-9717}},
  keywords     = {{Delaunay tessellation; Gas diffusion layer; OpenPNM; Polymer electrolyte fuel cell; Transport parameters; Voronoi algorithm}},
  language     = {{eng}},
  number       = {{7}},
  publisher    = {{MDPI AG}},
  series       = {{Processes}},
  title        = {{Transport parameter correlations for digitally created PEFC gas diffusion layers by using openPNM}},
  url          = {{http://dx.doi.org/10.3390/pr9071141}},
  doi          = {{10.3390/pr9071141}},
  volume       = {{9}},
  year         = {{2021}},
}