Multidimensional Reversible Solid Oxide Fuel Cell Modeling for Embedded Applications

Rui Ma, Fei Gao, Elena Breaz, Yigeng Huangfu, Pascal Briois

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

This paper presents a multiphysical modeling of a two-dimensional (2-D) reversible tubular solid oxide cell. The developed model can represent both a solid oxide electrolysis cell (SOEC) and solid oxide fuel cell (SOFC) operations. By taking into account of the electrochemical, fluidic, and thermal physical phenomena, the presented model can accurately describe the multiphysical effects inside a cell for both fuel cell and electrolysis cell operation under entire working range of cell current and temperature. In addition, an iterative solver is proposed which is used to solve the 2-D distribution of physical quantities along the tubular cell. The proposed model is suitable for embedded applications, such as real-time simulation or online diagnostic control. The reversible solid oxide cell model is then validated experimentally in both SOEC and SOFC configurations under different species partial pressures, operating temperatures, and current densities conditions.

Original languageEnglish
Pages (from-to)692-701
Number of pages10
JournalIEEE Transactions on Energy Conversion
Volume33
Issue number2
DOIs
StatePublished - Jun 2018

Keywords

  • Solid oxide electrolysis cell (SOEC)
  • iterative algorithm
  • multi-dimensional
  • physical modeling
  • solid oxide fuel cell (SOFC)

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