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Transient characteristics during power-off process in a shaft extension tubular pump by using a suitable numerical model

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  • Kan, Kan
  • Chen, Huixiang
  • Zheng, Yuan
  • Zhou, Daqing
  • Binama, Maxime
  • Dai, Jing

Abstract

For most of low-head pump stations, pumps simultaneously undertake important tasks such as flood control, irrigation and drainage where more attention should be paid on involved hydraulic stability. In order to establish a suitable numerical prediction model, two kinds of water surface treatment namely volume of fluids (VOF) and rigid-lid hypothesis (RLH) methods, for upstream and downstream reservoirs, are presented and corresponding results are compared. System transient characteristics during power-off process are predicted, where the obtained maximum runaway speed by VOF method is found to be closer to the one from experimental results. The dynamic parameters of VOF method change slower than those of RLH method and the static pressure peak value is smaller. The usage of VOF method to water dynamics at the reservoir’s free surface makes the water flow in reservoirs relatively smooth, whereas large-scale vortices appear in reservoirs for the RLH method. Moreover, the turbulent kinetic energy is found to be larger if the reservoir’s free surface is not taken into consideration. This article established a novel and accurate prediction model, which otherwise would provide the foundation of further studies in terms of transient characteristics prediction within pumping stations taking into account the air-water interactions.

Suggested Citation

  • Kan, Kan & Chen, Huixiang & Zheng, Yuan & Zhou, Daqing & Binama, Maxime & Dai, Jing, 2021. "Transient characteristics during power-off process in a shaft extension tubular pump by using a suitable numerical model," Renewable Energy, Elsevier, vol. 164(C), pages 109-121.
  • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:109-121
    DOI: 10.1016/j.renene.2020.09.001
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    References listed on IDEAS

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    8. Li, Deyou & Fu, Xiaolong & Zuo, Zhigang & Wang, Hongjie & Li, Zhenggui & Liu, Shuhong & Wei, Xianzhu, 2019. "Investigation methods for analysis of transient phenomena concerning design and operation of hydraulic-machine systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 26-46.
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    Cited by:

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    4. Kan, Kan & Xu, Zhe & Chen, Huixiang & Xu, Hui & Zheng, Yuan & Zhou, Daqing & Muhirwa, Alexis & Maxime, Binama, 2022. "Energy loss mechanisms of transition from pump mode to turbine mode of an axial-flow pump under bidirectional conditions," Energy, Elsevier, vol. 257(C).
    5. Xu, Lianchen & Kan, Kan & Zheng, Yuan & Liu, Demin & Binama, Maxime & Xu, Zhe & Yan, Xiaotong & Guo, Mengqi & Chen, Huixiang, 2024. "Rotating stall mechanism of pump-turbine in hump region: An insight into vortex evolution," Energy, Elsevier, vol. 292(C).
    6. Li, Wei & Yang, Qiaoyue & Yang, Yi & Ji, Leilei & Shi, Weidong & Agarwal, Ramesh, 2024. "Optimization of pump transient energy characteristics based on response surface optimization model and computational fluid dynamics," Applied Energy, Elsevier, vol. 362(C).
    7. Binama, Maxime & Kan, Kan & Chen, Hui-Xiang & Zheng, Yuan & Zhou, Daqing & Su, Wen-Tao & Muhirwa, Alexis & Ntayomba, James, 2021. "Flow instability transferability characteristics within a reversible pump turbine (RPT) under large guide vane opening (GVO)," Renewable Energy, Elsevier, vol. 179(C), pages 285-307.
    8. Xinfeng Ge & Jing Zhang & Jian Zhang & Demin Liu & Yuan Zheng & Huixiang Chen, 2022. "Review of Research on the Three-Dimensional Transition Process of Large-Scale Low-Lift Pump," Energies, MDPI, vol. 15(22), pages 1-34, November.
    9. Zhao, Kunjie & Xu, Yanhe & Guo, Pengcheng & Qian, Zhongdong & Zhang, Yongchuan & Liu, Wei, 2022. "Multi-scale oscillation characteristics and stability analysis of pumped-storage unit under primary frequency regulation condition with low water head grid-connected," Renewable Energy, Elsevier, vol. 189(C), pages 1102-1119.
    10. Song, Xijie & Luo, Yongyao & Wang, Zhengwei, 2024. "Mechanism of the influence of sand on the energy dissipation inside the hydraulic turbine under sediment erosion condition," Energy, Elsevier, vol. 294(C).
    11. Qigang Zhu & Yifan Liu & Ming Liu & Shuaishuai Zhang & Guangyang Chen & Hao Meng, 2021. "Intelligent Planning and Research on Urban Traffic Congestion," Future Internet, MDPI, vol. 13(11), pages 1-17, November.
    12. Xu, Zhe & Zheng, Yuan & Kan, Kan & Chen, Huixiang, 2023. "Flow instability and energy performance of a coastal axial-flow pump as turbine under the influence of upstream waves," Energy, Elsevier, vol. 272(C).
    13. Sun, Longyue & Pan, Qiang & Zhang, Desheng & Zhao, Ruijie & Esch, B.P.M.(Bart) van, 2022. "Numerical study of the energy loss in the bulb tubular pump system focusing on the off-design conditions based on combined energy analysis methods," Energy, Elsevier, vol. 258(C).
    14. Zheming Tong & Zhongqin Yang & Qing Huang & Qiang Yao, 2022. "Numerical Modeling of the Hydrodynamic Performance of Slanted Axial-Flow Urban Drainage Pumps at Shut-Off Condition," Energies, MDPI, vol. 15(5), pages 1-17, March.

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