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Numerical estimation of prototype hydraulic efficiency in a low head power station based on gross head conditions

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  • Ahn, Soo-Hwang
  • Zhou, Xuezhi
  • He, Lingyan
  • Luo, Yongyao
  • Wang, Zhengwei

Abstract

Low-head hydraulic power units typically have a short intake pipe or no that structure. For this reason, the upstream and downstream flows in reservoirs could influence the internal flow characteristics in the turbine, which sometimes increase the flow non-uniformity and the local hydraulic losses. Meanwhile, the efficiency estimation methods for prototype turbines still have a limitation for determining the unit discharge, which is generally predicted by using a Winter-Kennedy method. This paper proposes a hydraulic performance estimating method focusing on low-head turbine units, which is conducted by using CFD analysis and based on site test results. A bulb type turbine unit was adopted as a research object, which is operating in a low-head run-of-the-river power station. The flow behaviors in turbine were simulated based on two water levels under single unit operation, with two reservoir modeling. The simulation results agreed well with test ones for the turbine power as well as the relative discharge curve. The prototype efficiency in operation was estimated at the same time. In addition, this paper analyzed the relationship between the gross head and net head, and introduced the concept of plant hydraulic efficiency, as regards the flow interaction between the turbine unit, intake and tailrace.

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  • Ahn, Soo-Hwang & Zhou, Xuezhi & He, Lingyan & Luo, Yongyao & Wang, Zhengwei, 2020. "Numerical estimation of prototype hydraulic efficiency in a low head power station based on gross head conditions," Renewable Energy, Elsevier, vol. 153(C), pages 175-181.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:175-181
    DOI: 10.1016/j.renene.2020.01.113
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    References listed on IDEAS

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    1. Liu, Yabin & Tan, Lei, 2018. "Method of C groove on vortex suppression and energy performance improvement for a NACA0009 hydrofoil with tip clearance in tidal energy," Energy, Elsevier, vol. 155(C), pages 448-461.
    2. Ahn, Soo-Hwang & Xiao, Yexiang & Wang, Zhengwei & Zhou, Xuezhi & Luo, Yongyao, 2017. "Performance prediction of a prototype tidal power turbine by using a suitable numerical model," Renewable Energy, Elsevier, vol. 113(C), pages 293-302.
    3. Aggidis, G.A. & Luchinskaya, E. & Rothschild, R. & Howard, D.C., 2010. "The costs of small-scale hydro power production: Impact on the development of existing potential," Renewable Energy, Elsevier, vol. 35(12), pages 2632-2638.
    4. Luo, Yongyao & Wang, Zhengwei & Liu, Xin & Xiao, Yexiang & Chen, Changkun & Wang, Haoping & Yan, Jianhua, 2015. "Numerical prediction of pressure pulsation for a low head bidirectional tidal bulb turbine," Energy, Elsevier, vol. 89(C), pages 730-738.
    5. Fu, Shifeng & Zheng, Yuan & Kan, Kan & Chen, Huixiang & Han, Xingxing & Liang, Xiaoling & Liu, Huiwen & Tian, Xiaoqing, 2020. "Numerical simulation and experimental study of transient characteristics in an axial flow pump during start-up," Renewable Energy, Elsevier, vol. 146(C), pages 1879-1887.
    6. Huang, Xianbei & Yang, Wei & Li, Yaojun & Qiu, Baoyun & Guo, Qiang & Zhuqing, Liu, 2019. "Review on the sensitization of turbulence models to rotation/curvature and the application to rotating machinery," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 46-69.
    7. Guo, Qiang & Zhou, Lingjiu & Wang, Zhengwei, 2016. "Numerical evaluation of the clearance geometries effect on the flow field and performance of a hydrofoil," Renewable Energy, Elsevier, vol. 99(C), pages 390-397.
    8. Ahn, Soo-Hwang & Xiao, Yexiang & Wang, Zhengwei & Zhou, Xuezhi & Luo, Yongyao, 2017. "Numerical prediction on the effect of free surface vortex on intake flow characteristics for tidal power station," Renewable Energy, Elsevier, vol. 101(C), pages 617-628.
    9. Oh, Sang-Ho & Lee, Kwang Soo & Jeong, Weon-Mu, 2016. "Three-dimensional experiment and numerical simulation of the discharge performance of sluice passageway for tidal power plant," Renewable Energy, Elsevier, vol. 92(C), pages 462-473.
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    Cited by:

    1. Bragalli, Cristiana & Micocci, Domenico & Naldi, Giovanni, 2023. "On the influence of net head and efficiency fluctuations over the performance of existing run-of-river hydropower plants," Renewable Energy, Elsevier, vol. 206(C), pages 1170-1179.
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    3. 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.
    4. Chen, Huixiang & Zhou, Daqing & Kan, Kan & Guo, Junxun & Zheng, Yuan & Binama, Maxime & Xu, Zhe & Feng, Jiangang, 2021. "Transient characteristics during the co-closing guide vanes and runner blades of a bulb turbine in load rejection process," Renewable Energy, Elsevier, vol. 165(P2), pages 28-41.
    5. Chen, Huixiang & Zhou, Daqing & Kan, Kan & Xu, Hui & Zheng, Yuan & Binama, Maxime & Xu, Zhe & Feng, Jiangang, 2021. "Experimental investigation of a model bulb turbine under steady state and load rejection process," Renewable Energy, Elsevier, vol. 169(C), pages 254-265.
    6. Linghua Kong & Jingwei Cao & Xiangyang Li & Xulei Zhou & Haihong Hu & Tao Wang & Shuxin Gui & Wenfa Lai & Zhongfeng Zhu & Zhengwei Wang & Yan Liu, 2022. "Numerical Analysis on the Hydraulic Thrust and Dynamic Response Characteristics of a Turbine Pump," Energies, MDPI, vol. 15(4), pages 1-15, February.
    7. Geng, Xinmin & Zhou, Ye & Zhao, Weiqiang & Shi, Li & Chen, Diyi & Bi, Xiaojian & Xu, Beibei, 2024. "Pricing ancillary service of a Francis hydroelectric generating system to promote renewable energy integration in a clean energy base: Tariff compensation of deep peak regulation," Renewable Energy, Elsevier, vol. 226(C).

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