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Two novel flow field patterns improve PEMFC performance by removing water at high current densities and increasing flow velocity near the outlet.

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What they did

System
MFC

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Abstract

To further improve the cell performance of a proton exchange membrane fuel cell (PEMFC), thus meeting the high requirement for its automotive and stationary application, great efforts have been made on the optimization of the flow field pattern[1,2]. In this work, two novel flow field patterns are proposed and the influences on the cell performance are investigated. Both two novel flow field designs lead to superior cell performance than the conventional flow field patterns do, and this can be attributed to their superiority in removing water at high current densities while increasing the flow velocity near the outlet. The velocity magnitude in flow fields is examined and compared through the computational fluid dynamics modeling. Acknowledgements This work was supported in part by National Natural Science Foundation of China (Grant No. 21373135 and 21533005) and Science Foundation of Ministry of Education of China ( Grant No. 413064). References [1] Soler, J., E. Hontanon, and L. Daza, Electrode permeability and flow-field configuration: influence on the performance of a PEMFC. Journal of Power Sources, 2003. 118(1): p. 172-178. [2] Lee, B., K. Park, and H.-M. Kim, Numerical Optimization of Flow Field Pattern by Mass Transfer and Electrochemical Reaction Characteristics in Proton Exchange Membrane Fuel Cells. Int. J. Electrochem. Sci, 2013. 8: p. 219-234.

Key findings

  • Novel flow field designs outperform conventional patterns in cell performance.
  • Computational fluid dynamics modeling shows superior velocity magnitude in novel flow fields.
  • Water removal and flow velocity improvements contribute to enhanced cell performance.

Keywords

Proton exchange membrane fuel cellFlow (mathematics)Fuel cellsComputational fluid dynamicsWork (physics)Mechanical engineering

Identifiers

DOI
10.1149/ma2016-02/38/2564
Journal
ECS Meeting Abstracts
Year
2016