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Energy loss evaluation in a Francis turbine under overall operating conditions using entropy production method

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  • Yu, Zhi-Feng
  • Wang, Wen-Quan
  • Yan, Yan
  • Liu, Xing-Shun

Abstract

The flow losses owing to friction and unstable flow patterns in Francis turbines will cause a drop in their efficiency. The traditional approach to evaluating the hydraulic losses of Francis turbine via the pressure drop cannot determine the exact locations at which the high energy loss occurs. In this paper, a full analysis for flow losses in a Francis turbine with the entropy production method has been implemented. Firstly, the prediction of hydraulic efficiency between entropy production theory and the model test is compared. Secondly, distribution of entropy production in different parts and flow components is analyzed. Finally, detailed distribution of local entropy production rate (LEPR) in spiral casing, stay/guide vanes, runner and draft tube is investigated. It is found that hydraulic losses of the turbine are closely related to flow separation and the vortex motion as well as backflow. Meanwhile, draft tube accounts for the greatest proportion of entropy production followed by the runner. It is concluded that the entropy production method adopted in this paper can be feasible to explore where the energy dissipation happens and how it is distributed in Francis turbine passage under different operating conditions within a certain reasonable range of error.

Suggested Citation

  • Yu, Zhi-Feng & Wang, Wen-Quan & Yan, Yan & Liu, Xing-Shun, 2021. "Energy loss evaluation in a Francis turbine under overall operating conditions using entropy production method," Renewable Energy, Elsevier, vol. 169(C), pages 982-999.
    • Handle: RePEc:eee:renene:v:169:y:2021:i:c:p:982-999
    DOI: 10.1016/j.renene.2021.01.054
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    1. Tao, Ran & Xiao, Ruofu & Wang, Fujun & Liu, Weichao, 2018. "Cavitation behavior study in the pump mode of a reversible pump-turbine," Renewable Energy, Elsevier, vol. 125(C), pages 655-667.
    2. Valentín, David & Presas, Alexandre & Valero, Carme & Egusquiza, Mònica & Egusquiza, Eduard & Gomes, Joao & Avellan, François, 2020. "Transposition of the mechanical behavior from model to prototype of Francis turbines," Renewable Energy, Elsevier, vol. 152(C), pages 1011-1023.
    3. Teran, Leonel Alveyro & Larrahondo, Francisco Jose & Rodríguez, Sara Aida, 2016. "Performance improvement of a 500-kW Francis turbine based on CFD," Renewable Energy, Elsevier, vol. 96(PA), pages 977-992.
    4. Yu, An & Zou, Zhipeng & Zhou, Daqing & Zheng, Yuan & Luo, Xianwu, 2020. "Investigation of the correlation mechanism between cavitation rope behavior and pressure fluctuations in a hydraulic turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1199-1208.
    5. Trivedi, Chirag & Gandhi, Bhupendra K. & Cervantes, Michel J. & Dahlhaug, Ole Gunnar, 2015. "Experimental investigations of a model Francis turbine during shutdown at synchronous speed," Renewable Energy, Elsevier, vol. 83(C), pages 828-836.
    6. Jeon, Heungsu & Park, Joo Hoon & Shin, Youhwan & Choi, Minsuk, 2018. "Friction loss and energy recovery of a Pelton turbine for different spear positions," Renewable Energy, Elsevier, vol. 123(C), pages 273-280.
    7. KC, Anup & Lee, Young Ho & Thapa, Bhola, 2016. "CFD study on prediction of vortex shedding in draft tube of Francis turbine and vortex control techniques," Renewable Energy, Elsevier, vol. 86(C), pages 1406-1421.
    8. Zhu, Di & Tao, Ran & Xiao, Ruofu & Pan, Litan, 2020. "Solving the runner blade crack problem for a Francis hydro-turbine operating under condition-complexity," Renewable Energy, Elsevier, vol. 149(C), pages 298-320.
    9. Aponte, R.D. & Teran, L.A. & Grande, J.F. & Coronado, J.J. & Ladino, J.A. & Larrahondo, F.J. & Rodríguez, S.A., 2020. "Minimizing erosive wear through a CFD multi-objective optimization methodology for different operating points of a Francis turbine," Renewable Energy, Elsevier, vol. 145(C), pages 2217-2232.
    10. Mu, Tong & Zhang, Rui & Xu, Hui & Zheng, Yuan & Fei, Zhaodan & Li, Jinghong, 2020. "Study on improvement of hydraulic performance and internal flow pattern of the axial flow pump by groove flow control technology," Renewable Energy, Elsevier, vol. 160(C), pages 756-769.
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