IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v327y2025ics0360544225021590.html
   My bibliography  Save this article

Experimental investigation on effect of drag-reduced cavitation on stability of a blub turbine

Author

Listed:
  • Feng, Jianjun
  • Zhao, Nannan
  • Wu, Guangkuan
  • Zhu, Guojun
  • Ge, Zhenguo
  • Li, Tianshu
  • Luo, Xingqi

Abstract

Cavitation significantly influences the stability and flexibility of hydraulic turbines. However, its specific effects on vibrations and pressure fluctuations, particularly under the drag-reduced cavitation condition, remain poorly understood. In this study, the pressure fluctuation and vibration signals under the drag-reduced cavitation condition within a bulb turbine are simultaneously captured. The results indicate continuous cavity formation at the blade tip under drag-reduced cavitation. In this state, the efficiency recovery correlates with stabilized cavitation flow and attenuated rotor-stator interaction effect. Under the drag-reduced cavitation condition, the intensity of the medium-frequency component of both pressure fluctuation and vibration reaches its minimum, with distribution peaks becoming more pronounced, indicating the improved flow stability. The multifractal strength of pressure fluctuation is minimal under drag-reduced cavitation condition, with the average intensity being approximately 70 % of that under incipient cavitation condition. Correlation analysis reveals that the vibration is induced by the pressure fluctuation in the bulb turbine. The cross-correlation between the two signals exhibits multifractal characteristics. The nonlinear coupling effect and cross-correlation reach the maximum value under the drag-reduced cavitation condition. A comprehensive analysis of drag-reduced cavitation's impact on stability is crucial for improving the performance of bulb turbines.

Suggested Citation

  • Feng, Jianjun & Zhao, Nannan & Wu, Guangkuan & Zhu, Guojun & Ge, Zhenguo & Li, Tianshu & Luo, Xingqi, 2025. "Experimental investigation on effect of drag-reduced cavitation on stability of a blub turbine," Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225021590
    DOI: 10.1016/j.energy.2025.136517
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225021590
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136517?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, Prashant & Singal, S.K. & Gohil, Pankaj P., 2024. "A technical review on combined effect of cavitation and silt erosion on Francis turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PB).
    2. Cheng, Qing & Liu, Xinyuan & Zhu, Xiaowu, 2019. "Cryptocurrency momentum effect: DFA and MF-DFA analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    3. Khurshid, Adnan & Khan, Khalid & Cifuentes-Faura, Javier & Chen, Yufeng, 2024. "Asymmetric multifractality: Comparative efficiency analysis of global technological and renewable energy prices using MFDFA and A-MFDFA approaches," Energy, Elsevier, vol. 289(C).
    4. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    5. Wei-Xing Zhou, 2008. "Multifractal detrended cross-correlation analysis for two nonstationary signals," Papers 0803.2773, arXiv.org.
    6. Yuan, Zhiyi & Zhang, Yongxue & Zhang, Jinya & Zhu, Jianjun, 2021. "Experimental studies of unsteady cavitation at the tongue of a pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 177(C), pages 1265-1281.
    7. Bommidi, Bala Saibabu & Teeparthi, Kiran & Kosana, Vishalteja, 2023. "Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function," Energy, Elsevier, vol. 265(C).
    8. Zhu, Di & Xiao, Ruofu & Liu, Weichao, 2021. "Influence of leading-edge cavitation on impeller blade axial force in the pump mode of reversible pump-turbine," Renewable Energy, Elsevier, vol. 163(C), pages 939-949.
    9. Li, Deyou & Song, Yechen & Lin, Song & Wang, Hongjie & Qin, Yonglin & Wei, Xianzhu, 2021. "Effect mechanism of cavitation on the hump characteristic of a pump-turbine," Renewable Energy, Elsevier, vol. 167(C), pages 369-383.
    10. Jin, Faye & Wang, Huanmao & Luo, Yongyao & Presas, Alexandre & Bi, Huili & Wang, Zhengwei & Lin, Kai & Lei, Xingchun & Yang, Xiaolong, 2023. "Visualization research of energy dissipation in a pump turbine unit during turbine mode's starting up," Renewable Energy, Elsevier, vol. 217(C).
    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. Dehghan, Amir Arsalan & Shojaeefard, Mohammad Hassan & Roshanaei, Maryam, 2024. "Exploring a new criterion to determine the onset of cavitation in centrifugal pumps from energy-saving standpoint; experimental and numerical investigation," Energy, Elsevier, vol. 293(C).
    2. Kristjanpoller, Werner & Miranda Tabak, Benjamin, 2025. "Day of the week effect on the cryptomarket: A high-frequency asymmetric multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
    3. Wang, Fang & Han, Guosheng, 2023. "Coupling correlation adaptive detrended analysis for multiple nonstationary series," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    4. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    5. Longfeng Zhao & Wei Li & Andrea Fenu & Boris Podobnik & Yougui Wang & H. Eugene Stanley, 2017. "The q-dependent detrended cross-correlation analysis of stock market," Papers 1705.01406, arXiv.org, revised Jun 2017.
    6. El Alaoui, Marwane & Benbachir, Saâd, 2013. "Multifractal detrended cross-correlation analysis in the MENA area," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5985-5993.
    7. Zhao, Xiaojun & Shang, Pengjian & Zhao, Chuang & Wang, Jing & Tao, Rui, 2012. "Minimizing the trend effect on detrended cross-correlation analysis with empirical mode decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 45(2), pages 166-173.
    8. Bouri, Elie & Benbachir, Soufiane & Alaoui, Marwane El, 2025. "How Bitcoin market trends affect major cryptocurrencies?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 668(C).
    9. Meo, Marcos M. & Iaconis, Francisco R. & Del Punta, Jessica A. & Delrieux, Claudio A. & Gasaneo, Gustavo, 2024. "Multifractal information on reading eye tracking data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    10. Dutta, Srimonti & Ghosh, Dipak & Samanta, Shukla, 2014. "Multifractal detrended cross-correlation analysis of gold price and SENSEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 195-204.
    11. Chen, Wang & Wei, Yu & Lang, Qiaoqi & Lin, Yu & Liu, Maojuan, 2014. "Financial market volatility and contagion effect: A copula–multifractal volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 289-300.
    12. Yao, Can-Zhong & Liu, Cheng & Ju, Wei-Jia, 2020. "Multifractal analysis of the WTI crude oil market, US stock market and EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    13. Li, Bao-Gen & Ling, Dian-Yi & Yu, Zu-Guo, 2021. "Multifractal temporally weighted detrended partial cross-correlation analysis of two non-stationary time series affected by common external factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    14. Zhang, Guofu & Li, Jingjing, 2018. "Multifractal analysis of Shanghai and Hong Kong stock markets before and after the connect program," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 611-622.
    15. Li, Shuping & Lu, Xinsheng & Li, Jianfeng, 2021. "Cross-correlations between the P2P interest rate, Shibor and treasury yields," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    16. Almeida, Lucas Mussoi & Perlin, Marcelo Scherer & Müller, Fernanda Maria, 2025. "Pricing efficiency in cryptocurrencies: The case of centralized and decentralized markets," Journal of Economics and Business, Elsevier, vol. 133(C).
    17. Fan, Qingju & Li, Dan, 2015. "Multifractal cross-correlation analysis in electricity spot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 17-27.
    18. Jiang, Jiaqi & Gu, Rongbao, 2016. "Asymmetrical long-run dependence between oil price and US dollar exchange rate—Based on structural oil shocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 75-89.
    19. Lin, Aijing & Ma, Hui & Shang, Pengjian, 2015. "The scaling properties of stock markets based on modified multiscale multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 525-537.
    20. Inacio, C.M.C. & Kristoufek, Ladislav & David, S.A., 2025. "Dynamic price interactions in energy commodities benchmarks: Insights from multifractal analysis during crisis periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).

    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:327:y:2025:i:c:s0360544225021590. 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.