IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i6p1516-d513999.html
   My bibliography  Save this article

Sediment and Cavitation Erosion in Francis Turbines—Review of Latest Experimental and Numerical Techniques

Author

Listed:
  • Adnan Aslam Noon

    (Department of Mechanical Engineering, FET. International Islamic University, Islamabad 44000, Pakistan)

  • Man-Hoe Kim

    (School of Mechanical Engineering & IEDT, Kyungpook National University, Daegu 41566, Korea)

Abstract

Sediment and cavitation erosion of the hydroelectric power turbine components are the fundamental problems in the rivers of Himalayas and Andes. In the present work, the latest research conducted in both the fields by various investigators and researchers are discussed and critically analyzed at different turbine components. Analysis shows that both types of erosion depends on flow characteristics, surface, and erodent material properties. Design optimization tools, coalesced effect (CE) of sediment and cavitation erosion and well conducted experiments will yield results that are beneficial for erosion identification and reduction. Although some researchers have done experimental work on the coalesced effect (CE) of sediment and cavitation erosion, very limited Computational Fluid Dynamics (CFD) work is available in literature. The present research work will be beneficial for practitioners and researchers in the future to address the erosion problem successfully.

Suggested Citation

  • Adnan Aslam Noon & Man-Hoe Kim, 2021. "Sediment and Cavitation Erosion in Francis Turbines—Review of Latest Experimental and Numerical Techniques," Energies, MDPI, vol. 14(6), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1516-:d:513999
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/6/1516/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/6/1516/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Yuning & Zhang, Yuning & Qian, Zhongdong & Ji, Bin & Wu, Yulin, 2016. "A review of microscopic interactions between cavitation bubbles and particles in silt-laden flow," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 303-318.
    2. Zhang, Yuning & Liu, Kaihua & Xian, Haizhen & Du, Xiaoze, 2018. "A review of methods for vortex identification in hydroturbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1269-1285.
    3. Thapa, Biraj Singh & Thapa, Bhola & Dahlhaug, Ole G., 2012. "Empirical modelling of sediment erosion in Francis turbines," Energy, Elsevier, vol. 41(1), pages 386-391.
    4. Khanal, Krishna & Neopane, Hari P. & Rai, Shikhar & Thapa, Manoj & Bhatt, Subendu & Shrestha, Rajendra, 2016. "A methodology for designing Francis runner blade to find minimum sediment erosion using CFD," Renewable Energy, Elsevier, vol. 87(P1), pages 307-316.
    5. Jain, Sanjay V. & Patel, Rajesh N., 2014. "Investigations on pump running in turbine mode: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 841-868.
    6. Arispe, Tania M. & de Oliveira, Waldir & Ramirez, Ramiro G., 2018. "Francis turbine draft tube parameterization and analysis of performance characteristics using CFD techniques," Renewable Energy, Elsevier, vol. 127(C), pages 114-124.
    7. Venturini, Mauro & Manservigi, Lucrezia & Alvisi, Stefano & Simani, Silvio, 2018. "Development of a physics-based model to predict the performance of pumps as turbines," Applied Energy, Elsevier, vol. 231(C), pages 343-354.
    8. Chitrakar, Sailesh & Neopane, Hari Prasad & Dahlhaug, Ole Gunnar, 2016. "Study of the simultaneous effects of secondary flow and sediment erosion in Francis turbines," Renewable Energy, Elsevier, vol. 97(C), pages 881-891.
    9. KC, Anup & Thapa, Bhola & Lee, Young-Ho, 2014. "Transient numerical analysis of rotor–stator interaction in a Francis turbine," Renewable Energy, Elsevier, vol. 65(C), pages 227-235.
    10. Goyal, Rahul & Gandhi, Bhupendra K., 2018. "Review of hydrodynamics instabilities in Francis turbine during off-design and transient operations," Renewable Energy, Elsevier, vol. 116(PA), pages 697-709.
    11. Liu, Xin & Luo, Yongyao & Karney, Bryan W. & Wang, Weizheng, 2015. "A selected literature review of efficiency improvements in hydraulic turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 18-28.
    12. Koirala, Ravi & Neopane, Hari Prasad & Shrestha, Oblique & Zhu, Baoshan & Thapa, Bhola, 2017. "Selection of guide vane profile for erosion handling in Francis turbines," Renewable Energy, Elsevier, vol. 112(C), pages 328-336.
    13. Thapa, Biraj Singh & Dahlhaug, Ole Gunnar & Thapa, Bhola, 2018. "Flow measurements around guide vanes of Francis turbine: A PIV approach," Renewable Energy, Elsevier, vol. 126(C), pages 177-188.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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).

    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. Goyal, Rahul & Gandhi, Bhupendra K., 2018. "Review of hydrodynamics instabilities in Francis turbine during off-design and transient operations," Renewable Energy, Elsevier, vol. 116(PA), pages 697-709.
    2. Zaher Mundher Yaseen & Ameen Mohammed Salih Ameen & Mohammed Suleman Aldlemy & Mumtaz Ali & Haitham Abdulmohsin Afan & Senlin Zhu & Ahmed Mohammed Sami Al-Janabi & Nadhir Al-Ansari & Tiyasha Tiyasha &, 2020. "State-of-the Art-Powerhouse, Dam Structure, and Turbine Operation and Vibrations," Sustainability, MDPI, vol. 12(4), pages 1-40, February.
    3. Leguizamón, Sebastián & Alimirzazadeh, Siamak & Jahanbakhsh, Ebrahim & Avellan, François, 2020. "Multiscale simulation of erosive wear in a prototype-scale Pelton runner," Renewable Energy, Elsevier, vol. 151(C), pages 204-215.
    4. Muhirwa, Alexis & Cai, Wei-Hua & Su, Wen-Tao & Liu, Quanzhong & Binama, Maxime & Li, Biao & Wu, Jian, 2020. "A review on remedial attempts to counteract the power generation compromise from draft tubes of hydropower plants," Renewable Energy, Elsevier, vol. 150(C), pages 743-764.
    5. He, Xianghui & Yang, Jiandong & Yang, Jiebin & Zhao, Zhigao & Hu, Jinhong & Peng, Tao, 2023. "Evolution mechanism of water column separation in pump turbine: Model experiment and occurrence criterion," Energy, Elsevier, vol. 265(C).
    6. Renzi, Massimiliano & Nigro, Alessandra & Rossi, Mosè, 2020. "A methodology to forecast the main non-dimensional performance parameters of pumps-as-turbines (PaTs) operating at Best Efficiency Point (BEP)," Renewable Energy, Elsevier, vol. 160(C), pages 16-25.
    7. Nirmal Acharya & Saroj Gautam & Sailesh Chitrakar & Chirag Trivedi & Ole Gunnar Dahlhaug, 2021. "Leakage Vortex Progression through a Guide Vane’s Clearance Gap and the Resulting Pressure Fluctuation in a Francis Turbine," Energies, MDPI, vol. 14(14), pages 1-19, July.
    8. Pei, Ji & Shen, Jiawei & Wang, Wenjie & Yuan, Shouqi & Zhao, Jiantao, 2024. "Evaluating hydraulic dissipation in a reversible mixed-flow pump for micro-pumped hydro storage based on entropy production theory," Renewable Energy, Elsevier, vol. 225(C).
    9. Binama, Maxime & Su, Wen-Tao & Cai, Wei-Hua & Li, Xiao-Bin & Muhirwa, Alexis & Li, Biao & Bisengimana, Emmanuel, 2019. "Blade trailing edge position influencing pump as turbine (PAT) pressure field under part-load conditions," Renewable Energy, Elsevier, vol. 136(C), pages 33-47.
    10. Qian, Zhongdong & Wang, Fan & Guo, Zhiwei & Lu, Jie, 2016. "Performance evaluation of an axial-flow pump with adjustable guide vanes in turbine mode," Renewable Energy, Elsevier, vol. 99(C), pages 1146-1152.
    11. Li, Huanhuan & Xu, Beibei & Riasi, Alireza & Szulc, Przemyslaw & Chen, Diyi & M'zoughi, Fares & Skjelbred, Hans Ivar & Kong, Jiehong & Tazraei, Pedram, 2019. "Performance evaluation in enabling safety for a hydropower generation system," Renewable Energy, Elsevier, vol. 143(C), pages 1628-1642.
    12. Sun, Longgang & Guo, Pengcheng & Yan, Jianguo, 2021. "Transient analysis of load rejection for a high-head Francis turbine based on structured overset mesh," Renewable Energy, Elsevier, vol. 171(C), pages 658-671.
    13. Zhang, Yuning & Zheng, Xianghao & Li, Jinwei & Du, Xiaoze, 2019. "Experimental study on the vibrational performance and its physical origins of a prototype reversible pump turbine in the pumped hydro energy storage power station," Renewable Energy, Elsevier, vol. 130(C), pages 667-676.
    14. Diamantis Karakatsanis & Nicolaos Theodossiou, 2022. "Smart Hydropower Water Distribution Networks, Use of Artificial Intelligence Methods and Metaheuristic Algorithms to Generate Energy from Existing Water Supply Networks," Energies, MDPI, vol. 15(14), pages 1-21, July.
    15. Yu, Wenjin & Zhou, Peijian & Miao, Zhouqian & Zhao, Haoru & Mou, Jiegang & Zhou, Wenqiang, 2024. "Energy performance prediction of pump as turbine (PAT) based on PIWOA-BP neural network," Renewable Energy, Elsevier, vol. 222(C).
    16. Du, Jiyun & Yang, Hongxing & Shen, Zhicheng & Chen, Jian, 2017. "Micro hydro power generation from water supply system in high rise buildings using pump as turbines," Energy, Elsevier, vol. 137(C), pages 431-440.
    17. Štefan, David & Rossi, Mosè & Hudec, Martin & Rudolf, Pavel & Nigro, Alessandra & Renzi, Massimiliano, 2020. "Study of the internal flow field in a pump-as-turbine (PaT): Numerical investigation, overall performance prediction model and velocity vector analysis," Renewable Energy, Elsevier, vol. 156(C), pages 158-172.
    18. Maria Castorino, Giulia Anna & Manservigi, Lucrezia & Barbarelli, Silvio & Losi, Enzo & Venturini, Mauro, 2023. "Development and validation of a comprehensive methodology for predicting PAT performance curves," Energy, Elsevier, vol. 274(C).
    19. Suyesh, Bhattarai & Parag, Vichare & Keshav, Dahal & Ahmed, Al Makky & Abdul-Ghani, Olabi, 2019. "Novel trends in modelling techniques of Pelton Turbine bucket for increased renewable energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 87-101.
    20. Yang, Zhiyan & Cheng, Yongguang & Xia, Linsheng & Meng, Wanwan & Liu, Ke & Zhang, Xiaoxi, 2020. "Evolutions of flow patterns and pressure fluctuations in a prototype pump-turbine during the runaway transient process after pump-trip," Renewable Energy, Elsevier, vol. 152(C), pages 1149-1159.

    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:gam:jeners:v:14:y:2021:i:6:p:1516-:d:513999. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.