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Strategies employed in the design and optimization of pump as turbine runner

Author

Listed:
  • Wang, Kaijie
  • Wang, Shuli
  • Meng, Puyu
  • Wang, Chengpeng
  • Li, Yuhai
  • Zheng, Wenxian
  • Liu, Jun
  • Kou, Jiawen

Abstract

The low hydraulic efficiency of the pump as turbine (PAT) poses a major challenge to the runner design. This paper introduces a new strategy for designing and optimizing the performance of PAT runner. The strategy process is mainly divided into four steps, namely blade parametric design, significance evaluation of parameters, construction of optimizing surrogate model and optimization of improved PSO algorithm. Compared with the current design methodologies, not only does this optimization strategy propose the system design and optimization process, but also it breaks down the process into well-defined steps and simplifies them. The hydraulic efficiency of PAT optimized by this optimization strategy reaches 84.76%, which improves 3.93%. A test bench has been built to test the optimizing strategy. The maximum difference of experimental data is 1.5%, which meets the requirements of practical engineering application, and verifies the reliability of the optimization strategy process. The optimizing strategy process can be extended to apply to pump, fan, conventional turbine and other blade fluid models, and it can be further extended to apply to the optimization design of 3D blades with a high specific speed.

Suggested Citation

  • Wang, Kaijie & Wang, Shuli & Meng, Puyu & Wang, Chengpeng & Li, Yuhai & Zheng, Wenxian & Liu, Jun & Kou, Jiawen, 2023. "Strategies employed in the design and optimization of pump as turbine runner," Renewable Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:renene:v:216:y:2023:i:c:s0960148123009941
    DOI: 10.1016/j.renene.2023.119080
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    References listed on IDEAS

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    1. Qin, Yonglin & Li, Deyou & Wang, Hongjie & Liu, Zhansheng & Wei, Xianzhu & Wang, Xiaohang, 2022. "Multi-objective optimization design on high pressure side of a pump-turbine runner with high efficiency," Renewable Energy, Elsevier, vol. 190(C), pages 103-120.
    2. Xiaoran, Zhao & Yexiang, Xiao & Zhengwei, Wang & Hongying, Luo & Soo-Hwang, Ahn & Yangyang, Yao & Honggang, Fan, 2018. "Numerical analysis of non-axisymmetric flow characteristic for a pump-turbine impeller at pump off-design condition," Renewable Energy, Elsevier, vol. 115(C), pages 1075-1085.
    3. Du, Jiyun & Ge, Zhan & Wu, Hao & Shi, Xudong & Yuan, Fangyang & Yu, Wei & Wang, Dongxiang & Yang, Xinjun, 2022. "Study on the effects of runner geometric parameters on the performance of micro Francis turbines used in water supply system of high-rise buildings," Energy, Elsevier, vol. 256(C).
    4. Linhai Liu & Baoshan Zhu & Li Bai & Xiaobing Liu & Yue Zhao, 2017. "Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization," Energies, MDPI, vol. 10(8), pages 1-16, August.
    5. Zhu, Baoshan & Wang, Xuhe & Tan, Lei & Zhou, Dongyue & Zhao, Yue & Cao, Shuliang, 2015. "Optimization design of a reversible pump–turbine runner with high efficiency and stability," Renewable Energy, Elsevier, vol. 81(C), pages 366-376.
    6. Li, Deyou & Song, Yechen & Lin, Song & Wang, Hongjie & Qin, Yonglin & Wei, Xianzhu, 2021. "Effect mechanism of cavitation on the hump characteristic of a pump-turbine," Renewable Energy, Elsevier, vol. 167(C), pages 369-383.
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