A Novel Surface Parameterization Method for Optimizing Radial Impeller Design in Fuel Cell System

Wei Li, Jisheng Liu, Pengcheng Fang and Jinxin Cheng
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Wei Li: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Jisheng Liu: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Pengcheng Fang: School of Mechanical Engineering & Automation, Beihang University, Beijing 100091, China
Jinxin Cheng: Key Laboratory of Light-Duty Gas-Turbine, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China

Energies, 2021, vol. 14, issue 9, 1-25

Abstract: The aerodynamic performance improvement of radial impellers is of positive significance to improve the overall performance of hydrogen fuel cell systems (FCS). Our team proposes a multi-degree-of-freedom (MDOF) surface parameterization method for the global automatic optimization of radial impeller aerodynamics. The MDOF surface parameterization is characterized by fewer variables, construction ease, smoothness, good flexibility, and blade strength maintenance. In this paper, a radial impeller for a 100-kW fuel cell stack is optimized, showing the isentropic efficiency increase of 0.7%, the flow rate increase of 3.77%, and the total pressure ratio increase of 0.37%. The results revealed that the performance of the optimized radial impeller significantly improved, verifying the validity and reliability of the proposed novel design optimization method and providing technical support and methodological research of radial impeller aerodynamic optimization for hydrogen FCS.

Keywords: radial impeller; aerodynamic optimization; three-dimensional surface parameterization; fuel cell (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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