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Analysis of Pressure Fluctuations in a Prototype Pump-Turbine with Different Numbers of Runner Blades in Turbine Mode

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  • Deyou Li

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Yuekun Sun

    (State Key Laboratory of HydroScience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Zhigang Zuo

    (State Key Laboratory of HydroScience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Shuhong Liu

    (State Key Laboratory of HydroScience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Hongjie Wang

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Zhenggui Li

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
    Key Laboratory of Fluid and Power Machinery (Xihua University), Ministry of Education Sichuan, Chengdu 610039, China)

Abstract

In pump-turbines, high pressure fluctuation is one of the crucial instabilities, which is harmful to the stable and effective operation of the entire unit. Extensive studies have been carried out to investigate pressure fluctuations (amplitude and frequency) at specific locations. However, limited research was conducted on the distribution of pressure fluctuations in turbine mode in a pump-turbine, as well as the influence of the number of runner blades on pressure fluctuations. Hence, in this study, three dimensional numerical simulations were performed to predict the distribution of pressure fluctuations with different numbers of runner blades in a prototype pump-turbine in turbine mode using the shear stress transport (SST) k-ω turbulence model. Three operating points with the same hydraulic head and different mass flow rates were simulated. The distribution of pressure fluctuation components of blade passing frequency and its harmonics in the direction along the whole flow path, as well as along the circumferential direction, was presented. The mass flow rate and number of runner blades have great influence on the distribution of pressure fluctuations, especially at blade passing frequency along circumferential direction. The mass flow rate mainly affects the position of peak pressure fluctuations, while the number of runner blades mainly changes the number of peak pressure fluctuations. Additionally, the number of runner blades influences the dominant frequencies of pressure fluctuations especially in the spiral casing and draft tube.

Suggested Citation

  • Deyou Li & Yuekun Sun & Zhigang Zuo & Shuhong Liu & Hongjie Wang & Zhenggui Li, 2018. "Analysis of Pressure Fluctuations in a Prototype Pump-Turbine with Different Numbers of Runner Blades in Turbine Mode," Energies, MDPI, vol. 11(6), pages 1-17, June.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1474-:d:150997
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    References listed on IDEAS

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    1. Li, Deyou & Wang, Hongjie & Qin, Yonglin & Li, Zhenggui & Wei, Xianzhu & Qin, Daqing, 2018. "Mechanism of high amplitude low frequency fluctuations in a pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 126(C), pages 668-680.
    2. Zuo, Zhigang & Liu, Shuhong & Sun, Yuekun & Wu, Yulin, 2015. "Pressure fluctuations in the vaneless space of High-head pump-turbines—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 965-974.
    3. Li, Deyou & Wang, Hongjie & Li, Zhenggui & Nielsen, Torbjørn Kristian & Goyal, Rahul & Wei, Xianzhu & Qin, Daqing, 2018. "Transient characteristics during the closure of guide vanes in a pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 118(C), pages 973-983.
    4. Yang, Jun & Pavesi, Giorgio & Liu, Xiaohua & Xie, Tian & Liu, Jun, 2018. "Unsteady flow characteristics regarding hump instability in the first stage of a multistage pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 127(C), pages 377-385.
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    Cited by:

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    2. Zhang, Fangfang & Fang, Mingkun & Pan, Jiale & Tao, Ran & Zhu, Di & Liu, Weichao & Xiao, Ruofu, 2023. "Guide vane profile optimization of pump-turbine for grid connection performance improvement," Energy, Elsevier, vol. 274(C).
    3. Yun Jia & Xianzhu Wei & Qianyun Wang & Jinsheng Cui & Fengchen Li, 2019. "Experimental Study of the Effect of Splitter Blades on the Performance Characteristics of Francis Turbines," Energies, MDPI, vol. 12(9), pages 1-16, May.
    4. Liu, Demin & Zhang, Xiaoxi & Yang, Zhiyan & Liu, Ke & Cheng, Yongguang, 2021. "Evaluating the pressure fluctuations during load rejection of two pump-turbines in a prototype pumped-storage system by using 1D-3D coupled simulation," Renewable Energy, Elsevier, vol. 171(C), pages 1276-1289.
    5. Li, Xiao-Bin & Binama, Maxime & Su, Wen-Tao & Cai, Wei-Hua & Muhirwa, Alexis & Li, Biao & Li, Feng-Chen, 2020. "Runner blade number influencing RPT runner flow characteristics under off-design conditions," Renewable Energy, Elsevier, vol. 152(C), pages 876-891.
    6. Abdulbasit Nasir & Edessa Dribssa & Misrak Girma & Habtamu Bayera Madessa, 2023. "Selection and Performance Prediction of a Pump as a Turbine for Power Generation Applications," Energies, MDPI, vol. 16(13), pages 1-16, June.

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