IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v340y2025ics0360544225050005.html

Swirling instability suppression through a honeycomb-like grid in a giant hydraulic turbine

Author

Listed:
  • Wang, Xiu
  • Huang, Xiao-Wen
  • Yan, Yan
  • Wang, Wen-Quan

Abstract

With the large-scale integration of renewable energy into power grids, large hydraulic turbines serving as critical grid regulators must expand their operating ranges and enhance regulation flexibility. This operational requirement forces the units to operate under off-design conditions for extended periods, consequently inducing swirling flow instability such as spiral vortex ropes and low-frequency high-amplitude pressure pulsations in draft tubes, which significantly compromise unit operational safety and grid regulation reliability. This paper investigates the use of a honeycomb-like grid in the draft tube to evaluate its effectiveness in suppressing pressure pulsations induced by vortex ropes. Results indicate that a honeycomb-like grid effectively breaks down large-scale vortices into small-scale turbulent structures while dissipating kinetic energy. Furthermore, it promotes significantly enhances pressure field uniformity, and suppresses eccentric motion of the swirling flows. The incorporation of the honeycomb-like grid in the draft tube configuration yields significant suppression of pressure pulsations in large hydraulic turbines. Maximum dominant frequency amplitude reductions of 97.4 % at the draft tube center (observed at 93 % of monitoring points), 89.7 % along the wall (87 % of points), and 42.5 % in the vaneless region, while simultaneously eliminating broadband spectral components. Thus, the use of the honeycomb-like grid can broaden the stable operating range of hydraulic turbines.

Suggested Citation

  • Wang, Xiu & Huang, Xiao-Wen & Yan, Yan & Wang, Wen-Quan, 2025. "Swirling instability suppression through a honeycomb-like grid in a giant hydraulic turbine," Energy, Elsevier, vol. 340(C).
  • Handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225050005
    DOI: 10.1016/j.energy.2025.139358
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225050005
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.139358?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Kumar, Sandeep & Cervantes, Michel J. & Gandhi, Bhupendra K., 2021. "Rotating vortex rope formation and mitigation in draft tube of hydro turbines – A review from experimental perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    2. Shahzer, Mohammad Abu & Kim, Jin-Hyuk, 2024. "Investigation of role of fins in a Francis turbine model's cavitation-induced instabilities under design and off-design conditions," Energy, Elsevier, vol. 292(C).
    3. Sun, Longgang & Xu, Hongyang & Li, Chenxi & Guo, Pengcheng & Xu, Zhuofei, 2024. "Unsteady assessment and alleviation of inter-blade vortex in Francis turbine," Applied Energy, Elsevier, vol. 358(C).
    4. Mujeebu, M. Abdul & Abdullah, M.Z. & Bakar, M.Z. Abu & Mohamad, A.A. & Abdullah, M.K., 2009. "Applications of porous media combustion technology - A review," Applied Energy, Elsevier, vol. 86(9), pages 1365-1375, September.
    5. Zhao, Ziwen & Ding, Xinjun & Behrens, Paul & Li, Jianling & He, Mengjiao & Gao, Yuanqiang & Liu, Gongcheng & Xu, Beibei & Chen, Diyi, 2023. "The importance of flexible hydropower in providing electricity stability during China’s coal phase-out," Applied Energy, Elsevier, vol. 336(C).
    6. Wang, Runchen & Du, Xiaonan & Shi, Yuetao & Deng, Weipeng & Wang, Yuhao & Sun, Fengzhong, 2024. "A novel system for reducing power plant electricity consumption and enhancing deep peak-load capability," Energy, Elsevier, vol. 295(C).
    7. 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.
    8. Pang, Shujiao & Zhu, Baoshan & Shen, Yunde & Chen, Zhenmu, 2024. "Study on suppression of cavitating vortex rope on pump-turbines by J-groove," Applied Energy, Elsevier, vol. 360(C).
    9. Wang, Wen-Quan & Yu, Zhi-Feng & Yan, Yan & Wei, Xin-Yu, 2024. "Numerical investigation on vortex characteristics in a low-head Francis turbine operating of adjustable-speed at part load conditions," Energy, Elsevier, vol. 302(C).
    10. Ren, Ye & Suganthan, P.N. & Srikanth, N., 2015. "Ensemble methods for wind and solar power forecasting—A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 82-91.
    11. Hao, Yan & Tian, Chengshi, 2019. "A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting," Applied Energy, Elsevier, vol. 238(C), pages 368-383.
    12. Zhao, Yuanqi & Li, Deyou & Chang, Hong & Fu, Xiaolong & Wang, Hongjie & Qin, Daqing, 2023. "Suppression effect of bionic guide vanes with different parameters on the hump characteristics of pump-turbines based on entropy production theory," Energy, Elsevier, vol. 283(C).
    13. Zhou, Xing & Wu, Hegao & Cheng, Li & Huang, Quanshui & Shi, Changzheng, 2023. "A new draft tube shape optimisation methodology of introducing inclined conical diffuser in hydraulic turbine," Energy, Elsevier, vol. 265(C).
    14. Jin, Xiaoyu & Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Li, Gang & Liu, Lingjun, 2022. "Impacts of different wind and solar power penetrations on cascade hydroplants operation," Renewable Energy, Elsevier, vol. 182(C), pages 227-244.
    15. Han, Shuo & Yuan, Yifan & He, Mengjiao & Zhao, Ziwen & Xu, Beibei & Chen, Diyi & Jurasz, Jakub, 2024. "A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system," Applied Energy, Elsevier, vol. 356(C).
    16. Seung-Jun Kim & Young-Seok Choi & Yong Cho & Jong-Woong Choi & Jung-Jae Hyun & Won-Gu Joo & Jin-Hyuk Kim, 2020. "Effect of Fins on the Internal Flow Characteristics in the Draft Tube of a Francis Turbine Model," Energies, MDPI, vol. 13(11), pages 1-23, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xiu & Yang, Jia-Fu & Huang, Xiao-Wen & Wang, Wen-Quan, 2024. "Using bionic tubercles to control swirling flow instabilities of a hydraulic turbine during the load rejection process," Energy, Elsevier, vol. 311(C).
    2. Amini, Ali & Rey-Mermet, Samuel & Crettenand, Steve & Münch-Alligné, Cécile, 2025. "A hybrid methodology for assessing hydropower plants under flexible operations: Leveraging experimental data and machine learning techniques," Applied Energy, Elsevier, vol. 383(C).
    3. Xue, Song & Cheng, Yongguang & Li, Wenxin & Guan, Ziwu & Zhang, Jian, 2025. "Enhancing operational stability of an ultra-high-head pump-turbine using guide-vanes with horizontal blades," Energy, Elsevier, vol. 340(C).
    4. Nguyen, Duc-Anh & Dinh, Cong-Truong & Kim, Gyeong Sung & Kim, Jin-Hyuk, 2025. "A potential solution to recover energy from wastewater environment by using the single-channel pump as turbine," Energy, Elsevier, vol. 320(C).
    5. Duan, Juan & Peng, Zeyu & Chen, Luyang & Zeng, Yun, 2025. "A review of OMA parameter identification for hydro-turbine unit: Challenges in condition monitoring," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
    6. Raul-Alexandru Szakal & Alexandru Doman & Sebastian Muntean, 2021. "Influence of the Reshaped Elbow on the Unsteady Pressure Field in a Simplified Geometry of the Draft Tube," Energies, MDPI, vol. 14(5), pages 1-21, March.
    7. Tesfay, Asfafaw Haileselassie & Lia, Leif & Vereide, Kaspar, 2025. "Composite surge tanks to boost hydropower flexibility," Renewable Energy, Elsevier, vol. 251(C).
    8. Kan, Kan & Yu, Yunkuan & Zhou, Yuguo & Chen, Yu & Ye, Changliang, 2025. "Numerical investigation of multiscale flow-induced vibration and fatigue life prediction of a large Francis turbine," Energy, Elsevier, vol. 335(C).
    9. Pang, Shujiao & Zhu, Baoshan & Shen, Yunde & Chen, Zhenmu, 2024. "Study on suppression of cavitating vortex rope on pump-turbines by J-groove," Applied Energy, Elsevier, vol. 360(C).
    10. Jin, Huaiping & Shi, Lixian & Chen, Xiangguang & Qian, Bin & Yang, Biao & Jin, Huaikang, 2021. "Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models," Renewable Energy, Elsevier, vol. 174(C), pages 1-18.
    11. Lei, Shuaihao & Cheng, Li & Sheng, Weigao, 2024. "Study on power losses and pressure fluctuations of diffuser mixed flow pump as turbine on different power generation speeds based on energy power models," Renewable Energy, Elsevier, vol. 237(PC).
    12. Liu, Hui & Chen, Chao, 2019. "Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction," Applied Energy, Elsevier, vol. 254(C).
    13. Xu, Lihui & Guo, Tao, 2025. "Analysis of hydraulic stability of a Francis turbine under partial load conditions based on Liutex method and entropy production theory," Energy, Elsevier, vol. 328(C).
    14. Doppalapudi, A.T. & Azad, A.K. & Khan, M.M.K., 2021. "Combustion chamber modifications to improve diesel engine performance and reduce emissions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    15. Wang, Jin & Zhao, Zhipeng & Zhou, Jinglin & Cheng, Chuntian & Su, Huaying, 2024. "Co-optimization for day-ahead scheduling and flexibility response mode of a hydro–wind–solar hybrid system considering forecast uncertainty of variable renewable energy," Energy, Elsevier, vol. 311(C).
    16. Li, HongYang & He, Shan & Yuan, JiaWang & Wang, Chao, 2025. "A wind power prediction method integrating dynamic multi-scale spatio-temporal modelling, adaptive multi-strategy local decomposition, and meta-learning ensemble model," Energy, Elsevier, vol. 340(C).
    17. Ahmed, R. & Sreeram, V. & Mishra, Y. & Arif, M.D., 2020. "A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    18. Mustafa Sahin Dogan & Josue Medellin-Azuara & Jay R. Lund, 2024. "Hydropower Reservoir Optimization with Solar Generation-Changed Energy Prices in California," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(6), pages 2135-2153, April.
    19. Kong, Xiangyu & Li, Chuang & Wang, Chengshan & Zhang, Yusen & Zhang, Jian, 2020. "Short-term electrical load forecasting based on error correction using dynamic mode decomposition," Applied Energy, Elsevier, vol. 261(C).
    20. Erik Heilmann & Janosch Henze & Heike Wetzel, 2021. "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics 202135, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225050005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.