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Comprehensive hydraulic performance improvement in a pump-turbine: An experimental investigation

Author

Listed:
  • Qin, Yonglin
  • Li, Deyou
  • Wang, Hongjie
  • Liu, Zhansheng
  • Wei, Xianzhu
  • Wang, Xiaohang
  • Yang, Weibin

Abstract

Pumped storage power plants, which is known as only large-scale energy management equipment, plays a vital important role in energy field. Hump characteristic and S characteristic are two classical unsteady hydraulic characteristics when pump-turbine operating at turbine mode and pump mode, respectively. It has been found that these two characteristics are both strongly related to the complex vortex evolution process in vaneless region while only few papers focus on the elimination mechanism of them. In present paper, a scaled runner with optimized high-pressure side (HPS) is designed and manufactured based on multi-objective optimization process arming at eliminating unsteady characteristic, i.e. hump characteristic and S characteristic, while maintaining efficiency characteristic unchanged. Thereafter, hydraulic experiments are conducted to investigate the impact of HPS geometry on hydraulic performance (efficiency, hump margin, S margin and pressure fluctuation) of object pump turbine. The experimental results show that compared with the original runner, the weighted average efficiency for pump mode increases by 0.1% while the weighted average efficiency for turbine mode decreases by 0.1%. Moreover, the S margin increases from 76.7 m to 87.2 m and the S2 unsteady region is largely increased. The hump margin decreases a little while it can recover to the original level through increasing 0.6% of the original ratio scale. Moreover, the runner with optimized HPS can effectively reduce the pressure fluctuation amplitude in vaneless region up to 33.3% and 21.4% for turbine mode and pump mode, respectively.

Suggested Citation

  • Qin, Yonglin & Li, Deyou & Wang, Hongjie & Liu, Zhansheng & Wei, Xianzhu & Wang, Xiaohang & Yang, Weibin, 2023. "Comprehensive hydraulic performance improvement in a pump-turbine: An experimental investigation," Energy, Elsevier, vol. 284(C).
  • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223019448
    DOI: 10.1016/j.energy.2023.128550
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    References listed on IDEAS

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    1. Li, Deyou & Zuo, Zhigang & Wang, Hongjie & Liu, Shuhong & Wei, Xianzhu & Qin, Daqing, 2019. "Review of positive slopes on pump performance characteristics of pump-turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 901-916.
    2. 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.
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    5. Li, Deyou & Qin, Yonglin & Wang, Jianpeng & Zhu, Yutong & Wang, Hongjie & Wei, Xianzhu, 2022. "Optimization of blade high-pressure edge to reduce pressure fluctuations in pump-turbine hump region," Renewable Energy, Elsevier, vol. 181(C), pages 24-38.
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    Cited by:

    1. Liang, Ao & Chang, Yizhe & Zhang, Wenwu & Yao, Zhifeng & Zhu, Baoshan & Wang, Fujun, 2025. "Research on the evolution law and energy loss characteristics of rotating stall in a pump-turbine under pump mode," Energy, Elsevier, vol. 330(C).
    2. Wu, Xitong & Li, Chenhao & Hu, Yang & Luo, Xingqi & Feng, Jianjun & Zhu, Guojun, 2026. "Mitigating pump-turbine hump instabilities via high-pressure edge optimization: Vortex dynamics and pressure fluctuation control," Renewable Energy, Elsevier, vol. 259(C).
    3. Han, Shuangqian & Qin, Yonglin & Zhu, Baoshan, 2025. "Multi-objective optimization design of a pump-turbine runner based on machine learning method," Energy, Elsevier, vol. 336(C).
    4. Qin, Yonglin & Li, Deyou & Shi, Qian & Wei, Xianzhu & Wang, Xiaohang & Zhu, Baoshan, 2025. "Transient instability elimination during turbine runaway process of an ultra-high head pump-turbine," Energy, Elsevier, vol. 336(C).

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