Transport Parameter Correlations for Digitally Created PEFC Gas Diffusion Layers by Using OpenPNM
Autor: | Martin Andersson, Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Ángel Encalada-Dávila, Shian Li |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
transport parameters
gas diffusion layer Materials science OpenPNM 020209 energy Multiphysics Polymer electrolyte fuel cell Voronoi algorithm Delaunay tessellation Bioengineering 02 engineering and technology TP1-1185 Energy engineering 0202 electrical engineering electronic engineering information engineering Fluid dynamics Chemical Engineering (miscellaneous) Gaseous diffusion Energy transformation Diffusion (business) QD1-999 Gas diffusion layer polymer electrolyte fuel cell Process Chemistry and Technology Chemical technology Transport parameters Mechanics 021001 nanoscience & nanotechnology Chemical energy Chemistry 0210 nano-technology Transport phenomena |
Zdroj: | Processes Volume 9 Issue 7 Digibug. Repositorio Institucional de la Universidad de Granada instname Processes, Vol 9, Iss 1141, p 1141 (2021) Digibug: Repositorio Institucional de la Universidad de Granada Universidad de Granada (UGR) |
Popis: | 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. ESPOL - FIMCP-CERA-05-2017 |
Databáze: | OpenAIRE |
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