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Broadening the operating range of pump-turbine to deep-part load by runner optimization

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  • Hu, Zanao
  • Cheng, Yongguang
  • Liu, Demin
  • Chen, Hongyu
  • Ji, Bin
  • Ding, Jinghuan

Abstract

To cooperate with new energy sources such as wind and solar, pumped storage units are required to frequently change conditions and operate under part loads, leading to the problem of violent pressure fluctuation and unit vibration. To meet this challenge, the next generation of pump-turbine runners will therefore have to be designed differently. The goal of this article is to construct a framework for broadening the operating range of pump-turbine to deep-part loads. In this study, a multi-objective optimization strategy for the runner with wider output range is suggested, wherein the blade control parameters, specifically the blade loading and blade lean angle, are optimized to enhance the efficiency, anti-cavitation, and stability of the pump-turbine runner. A runner with turbine output range of 40%–100% is optimized for a specific power station. Next, the impact of runner control parameters on runner performance is evaluated, and the runner geometric characteristics for different optimizing priorities such as the pump peak efficiency, cavitation performance, turbine rated efficiency, and turbine partial load efficiency, are concluded. The mutual restriction mechanism between the pump peak efficiency and cavitation performance of pump mode, as well as the turbine-rated efficiency and partial load efficiency of turbine mode, is revealed. The main contributions of this paper include putting forward an effective optimization design process for wide output pump-turbine, and pointing out the relationship between runner geometric characteristics and performance. The results indicate that the present approach can significantly improve the efficiency and stability of runners operating in deep-part loads. The blade loading pattern with hub section aft-loaded and shroud section fore-loaded, combined with negative blade lean angle, is recommended for such runners. Blades with a smaller wrap angle and lower arch are conducive to improving the pump peak efficiency and turbine-rated efficiency, while the opposite geometrical features are advantageous for improving the runner cavitation performance and efficiency performance under part load conditions. These findings can serve as an important guide for the development of runners with a wider output range.

Suggested Citation

  • Hu, Zanao & Cheng, Yongguang & Liu, Demin & Chen, Hongyu & Ji, Bin & Ding, Jinghuan, 2023. "Broadening the operating range of pump-turbine to deep-part load by runner optimization," Renewable Energy, Elsevier, vol. 207(C), pages 73-88.
    • Handle: RePEc:eee:renene:v:207:y:2023:i:c:p:73-88
    DOI: 10.1016/j.renene.2023.03.005
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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. Tao, Ran & Xiao, Ruofu & Wang, Fujun & Liu, Weichao, 2019. "Improving the cavitation inception performance of a reversible pump-turbine in pump mode by blade profile redesign: Design concept, method and applications," Renewable Energy, Elsevier, vol. 133(C), pages 325-342.
    4. Giosio, D.R. & Henderson, A.D. & Walker, J.M. & Brandner, P.A. & Sargison, J.E. & Gautam, P., 2015. "Design and performance evaluation of a pump-as-turbine micro-hydro test facility with incorporated inlet flow control," Renewable Energy, Elsevier, vol. 78(C), pages 1-6.
    5. 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.
    6. Devabhaktuni, Vijay & Alam, Mansoor & Shekara Sreenadh Reddy Depuru, Soma & Green, Robert C. & Nims, Douglas & Near, Craig, 2013. "Solar energy: Trends and enabling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 555-564.
    7. Kim, Joon-Hyung & Cho, Bo-Min & Kim, Sung & Kim, Jin-Woo & Suh, Jun-Won & Choi, Young-Seok & Kanemoto, Toshiaki & Kim, Jin-Hyuk, 2017. "Design technique to improve the energy efficiency of a counter-rotating type pump-turbine," Renewable Energy, Elsevier, vol. 101(C), pages 647-659.
    8. Ma, Zhe & Zhu, Baoshan, 2020. "Pressure fluctuations in vaneless space of pump-turbines with large blade lean runners in the S- shaped region," Renewable Energy, Elsevier, vol. 153(C), pages 1283-1295.
    9. Yang, Zhiyan & Cheng, Yongguang & Xia, Linsheng & Meng, Wanwan & Liu, Ke & Zhang, Xiaoxi, 2020. "Evolutions of flow patterns and pressure fluctuations in a prototype pump-turbine during the runaway transient process after pump-trip," Renewable Energy, Elsevier, vol. 152(C), pages 1149-1159.
    10. 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.
    11. 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.
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    Cited by:

    1. Shojaeefard, Mohammad Hassan & Saremian, Salman, 2023. "Studying the impact of impeller geometrical parameters on the high-efficiency working range of pump as turbine (PAT) installed in the water distribution network," Renewable Energy, Elsevier, vol. 216(C).
    2. Hu, Zanao & Cheng, Yongguang & Chen, Hongyu & Liu, Demin & Ji, Bin & Wang, Zhiyuan & Zhang, Pengcheng & Xue, Song, 2024. "Predicting pump-turbine characteristic curves by theoretical models based on runner geometry parameters," Energy, Elsevier, vol. 301(C).
    3. Zhou, Xing & Hu, Xinyi & Huang, Quanshui & Wu, Hegao & Tang, Xiaodan & Cervantes, Michel J., 2024. "Optimization design of an innovative francis draft tube: Insight into improving operational flexibility," Energy, Elsevier, vol. 299(C).
    4. Lu, Yangping & Tan, Lei, 2024. "Design method based on a new slip-diffusion parameter of centrifugal pump for multiple conditions in wide operation region," Energy, Elsevier, vol. 294(C).

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