A discrete particle packing model for the formation of a catalyst layer in polymer electrolyte fuel cells

Magnus So, Kayoung Park, Tomohiro Ohnishi, Masumi Ono, Yoshifumi Tsuge, Gen Inoue

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We developed a reconstruction simulation model for a catalyst layer of a polymer electrolyte fuel cell to elucidate the effect of the size and shape of the catalyst agglomerates on the cell performance. The geometry of the catalyst layer was obtained by simulating the packing of carbon black agglomerates in ink modeled as multisphere objects by the discrete element method. Electrochemical reaction and mass transfer were modeled based on the resulting three-dimensional geometry of the catalyst. Both the size and shape of the agglomerate significantly influence the catalyst structure and performance. Branched agglomerates lead to higher porosity, larger pore sizes, and better cell performance. For each agglomerate shape, there is an optimum size at which the performance is the maximum, because of the optimum trade-off relationship between the oxygen diffusion and proton conduction. Understanding the mechanism of the catalyst formation can aid the design of catalysts to improve their performance.

Original languageEnglish
Pages (from-to)32170-32183
Number of pages14
JournalInternational Journal of Hydrogen Energy
Volume44
Issue number60
DOIs
Publication statusPublished - Dec 6 2019

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

Cite this