Mathematical modeling of direct formate fuel cells incorporating the effect of ion migration

Xiangyu Su, Zhefei Pan, Liang An, Yaoguang Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

In this work, a one-dimensional mathematical model of direct formate fuel cells is developed. The present model involves mass/charge transport and electrochemical reactions. Compared to the previous models, this model incorporates the ion migration and considers the anode catalyst layer thickness, so that this model is not only capable of predicting the polarization curves to evaluate the fuel cell performance, but also able to give more in-depth insights into the direct formate fuel cells, e.g., the concentration distributions of reactants/products, the distribution of local current density, and the distribution of electrode potential. In validation, the present model results agree well with the experimental data from the open literature. The voltage losses resulting from the anode, membrane and cathode, as well as the distribution of electrode potential are specified individually via using the present model. Moreover, the effects of the operating conditions, i.e., the feeding concentrations of reactants, and the structural design parameters, i.e., the thicknesses and porosities of diffusion layers and catalyst layers as well as the specific active surface area of catalyst layers, on the fuel cell performance are examined.

Original languageEnglish
Article number120629
JournalInternational Journal of Heat and Mass Transfer
Volume164
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Catalyst layer
  • Direct formate fuel cells
  • Fuel cells
  • Ion migration
  • Mathematical modeling
  • Potential distribution

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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