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Numerical and experimental investigation on configuration optimization of the large-size ionic wind pump

Author

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  • Zhang, Jianfei
  • Kong, Lingjian
  • Qu, Jingguo
  • Wang, Shuang
  • Qu, Zhiguo

Abstract

An ionic wind pump is an energy-saving device that can produce a volume flow when electrodes are applied with high voltage. Compared to the traditional methods, ionic wind pumps possess the advantages of low energy consumption, no moving parts, compact structure and flexible design. In this study, a large-size ionic wind pump, consisting of many single regular hexagonal needle-ring ionic wind generators, was developed as the preliminary model. However, its experimental performance was not as good as our expectations. In order to improve this preliminary model, a simulation method was used to investigate the configuration factors of the single ionic wind pump. In the optimized model, mesh gap is 6 mm, eccentricity is 0.26, section area is 238.44 mm2 and needle electrode number is 3. In subsequent experiments, the final optimized large-size ionic wind pump showed a great promotion in velocity, and the maximum average velocity of the optimized pump was higher than the preliminary model by 13.3%. Our numerical simulation and experiment results have practical significance in designing ionic wind pumps.

Suggested Citation

  • Zhang, Jianfei & Kong, Lingjian & Qu, Jingguo & Wang, Shuang & Qu, Zhiguo, 2019. "Numerical and experimental investigation on configuration optimization of the large-size ionic wind pump," Energy, Elsevier, vol. 171(C), pages 624-630.
    • Handle: RePEc:eee:energy:v:171:y:2019:i:c:p:624-630
    DOI: 10.1016/j.energy.2019.01.086
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    Cited by:

    1. Jia Li & Xin Wang & Yue Wang & Wancheng Wang & Baibing Chen & Xiaolong Chen, 2020. "Effects of a Combination Impeller on the Flow Field and External Performance of an Aero-Fuel Centrifugal Pump," Energies, MDPI, vol. 13(4), pages 1-16, February.
    2. Li, Lei & Yin, Xiao-Li & Jia, Xin-Chun & Sobhani, Behrooz, 2020. "Day ahead powerful probabilistic wind power forecast using combined intelligent structure and fuzzy clustering algorithm," Energy, Elsevier, vol. 192(C).
    3. Huang, Renfang & Zhang, Zhen & Zhang, Wei & Mou, Jiegang & Zhou, Peijian & Wang, Yiwei, 2020. "Energy performance prediction of the centrifugal pumps by using a hybrid neural network," Energy, Elsevier, vol. 213(C).

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