Transport Parameter Correlations for Digitally Created PEFC Gas Diffusion Layers by Using OpenPNM

• Main Authors: Ángel Encalada-Dávila, Mayken Espinoza-Andaluz, Julio Barzola-Monteses, Shian Li, Martin Andersson
• Format: Article
• Language: English
• Published: MDPI AG 2021-06-01
• Series: Processes
• Subjects: Delaunay tessellation; gas diffusion layer; OpenPNM; polymer electrolyte fuel cell; transport parameters; Voronoi algorithm
• Online Access: https://www.mdpi.com/2227-9717/9/7/1141

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.