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

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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
    School of Aeronautics and Astronautics, University of Chinese Academy of Sciences, Beijing 100049, China)

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.

Suggested Citation

  • Wei Li & Jisheng Liu & Pengcheng Fang & Jinxin Cheng, 2021. "A Novel Surface Parameterization Method for Optimizing Radial Impeller Design in Fuel Cell System," Energies, MDPI, vol. 14(9), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2716-:d:551525
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    References listed on IDEAS

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    1. Li, Yuehua & Pei, Pucheng & Ma, Ze & Ren, Peng & Huang, Hao, 2020. "Analysis of air compression, progress of compressor and control for optimal energy efficiency in proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Ekradi, Khalil & Madadi, Ali, 2020. "Performance improvement of a transonic centrifugal compressor impeller with splitter blade by three-dimensional optimization," Energy, Elsevier, vol. 201(C).
    3. Xiaojian Li & Zhengxian Liu & Yujing Lin, 2017. "Multipoint and Multiobjective Optimization of a Centrifugal Compressor Impeller Based on Genetic Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-18, October.
    4. Meroni, Andrea & Zühlsdorf, Benjamin & Elmegaard, Brian & Haglind, Fredrik, 2018. "Design of centrifugal compressors for heat pump systems," Applied Energy, Elsevier, vol. 232(C), pages 139-156.
    5. Mohammad Omidi & Shu-Jie Liu & Soheil Mohtaram & Hui-Tian Lu & Hong-Chao Zhang, 2019. "Improving Centrifugal Compressor Performance by Optimizing the Design of Impellers Using Genetic Algorithm and Computational Fluid Dynamics Methods," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
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