IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v187y2022icp710-727.html

Stall-induced vibrations analysis and mitigation of a wind turbine rotor at idling state: Theory and experiment

Author

Listed:
  • Chen, Chuan
  • Zhou, Jing-wei
  • Li, Fengming
  • Zhai, Endi

Abstract

With the development of wind turbine manufacturing technology, the wind turbine rotor is facing more design challenges for exposing to complex environmental conditions and severe wind loads. This paper investigates the stall-induced vibrations of a wind turbine rotor operating at idling state, and a strategy to mitigate the stall-induced vibrations is proposed. The equations of motion of the wind turbine rotor are established by Hamilton's principle and solved using the finite element method (FEM). The aerodynamic forces are evaluated based on the blade element theory, and the aero-damping is obtained by solving the eigenvalue problem of the rotor system. The stability of the wind turbine rotor is analyzed under different wind speeds, wind deviation angles, azimuth angles and pitch angles. The calculation results show that negative aero-damping exists in specific wind deviation angles, which leads to the divergence of edge-wise motions of the blades. An on-site experimental study validates the criteria of stability of the wind turbine rotor. The present work provides positive outlooks for aeroelastic analysis of the wind turbine blades at idling states, and it is significant for the design and safety improvement of large wind turbine blades.

Suggested Citation

  • Chen, Chuan & Zhou, Jing-wei & Li, Fengming & Zhai, Endi, 2022. "Stall-induced vibrations analysis and mitigation of a wind turbine rotor at idling state: Theory and experiment," Renewable Energy, Elsevier, vol. 187(C), pages 710-727.
    • Handle: RePEc:eee:renene:v:187:y:2022:i:c:p:710-727
    DOI: 10.1016/j.renene.2022.01.078
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812200088X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.01.078?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. Rezaei, Ramtin & Fromme, Paul & Duffour, Philippe, 2018. "Fatigue life sensitivity of monopile-supported offshore wind turbines to damping," Renewable Energy, Elsevier, vol. 123(C), pages 450-459.
    2. Meng, Jiayao & Dai, Kaoshan & Zhao, Zhi & Mao, Zhenxi & Camara, Alfredo & Zhang, Songhan & Mei, Zhu, 2020. "Study on the aerodynamic damping for the seismic analysis of wind turbines in operation," Renewable Energy, Elsevier, vol. 159(C), pages 1224-1242.
    3. Win Naung, Shine & Rahmati, Mohammad & Farokhi, Hamed, 2021. "Nonlinear frequency domain solution method for aerodynamic and aeromechanical analysis of wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 66-81.
    4. Meng, Hang & Lien, Fue-Sang & Yee, Eugene & Shen, Jingfang, 2020. "Modelling of anisotropic beam for rotating composite wind turbine blade by using finite-difference time-domain (FDTD) method," Renewable Energy, Elsevier, vol. 162(C), pages 2361-2379.
    5. Zhu, Chengyong & Qiu, Yingning & Wang, Tongguang, 2021. "Dynamic stall of the wind turbine airfoil and blade undergoing pitch oscillations: A comparative study," Energy, Elsevier, vol. 222(C).
    6. Robert Fontecha & Frank Kemper & Markus Feldmann, 2019. "On the Determination of the Aerodynamic Damping of Wind Turbines Using the Forced Oscillations Method in Wind Tunnel Experiments," Energies, MDPI, vol. 12(12), pages 1-19, June.
    7. Jokar, H. & Mahzoon, M. & Vatankhah, R., 2020. "Dynamic modeling and free vibration analysis of horizontal axis wind turbine blades in the flap-wise direction," Renewable Energy, Elsevier, vol. 146(C), pages 1818-1832.
    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. Galih Bangga, 2025. "Role of Artificial Intelligence in Large Wind Turbine Designs," Energies, MDPI, vol. 18(19), pages 1-4, October.
    2. Gao, Chuanqiang & Li, Dening & Liu, Rongxiang & Zhang, Weiwei, 2025. "Mechanism of flapwise vibration of a wind turbine airfoil under trailing edge windward states using aeroelastic reduced-order model," Energy, Elsevier, vol. 332(C).
    3. Galih Bangga, 2025. "Sensitivity of Dynamic Stall Models to Dynamic Excitation on Large Flexible Wind Turbine Blades in Edgewise Vibrations," Energies, MDPI, vol. 18(3), pages 1-27, January.
    4. Mo, Shuai & Liu, Yiheng & Zhang, Yingxin & Zhou, Yuansheng & Huang, Yurong & Houjoh, Haruo & Zhang, Wei, 2025. "Nonlinear dynamics of wind power transmission system with blades," Renewable Energy, Elsevier, vol. 249(C).
    5. Meng, Qingshen & Yu, Wei & Wu, Faming & Hua, Xugang & Chen, Chao, 2025. "Stall-induced aeroelastic instability of floating offshore wind turbines: Comparison of frequency domain and time domain quasi-steady approaches," Renewable Energy, Elsevier, vol. 251(C).

    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. Nakhchi, M.E. & Naung, S. Win & Dala, L. & Rahmati, M., 2022. "Direct numerical simulations of aerodynamic performance of wind turbine aerofoil by considering the blades active vibrations," Renewable Energy, Elsevier, vol. 191(C), pages 669-684.
    2. Robert Fontecha & Frank Kemper & Markus Feldmann & Stefan Witter & Ralf Schelenz, 2022. "Along-Wind Aerodynamic Damping of Wind Turbine Towers: Determination by Wind Tunnel Tests and Impact on Tower Lifetime," Energies, MDPI, vol. 15(6), pages 1-19, March.
    3. Gao, Chuanqiang & Li, Dening & Liu, Rongxiang & Zhang, Weiwei, 2025. "Mechanism of flapwise vibration of a wind turbine airfoil under trailing edge windward states using aeroelastic reduced-order model," Energy, Elsevier, vol. 332(C).
    4. Deshun Li & Ting He & Qing Wang, 2023. "Experimental Research on the Effect of Particle Parameters on Dynamic Stall Characteristics of the Wind Turbine Airfoil," Energies, MDPI, vol. 16(4), pages 1-15, February.
    5. Shine Win Naung & Mohammad Rahmati & Htet Shine, 2025. "High-Fidelity Aeroelastic Analysis of a Wind Turbine Using a Nonlinear Frequency-Domain Solution Method," Energies, MDPI, vol. 18(5), pages 1-20, February.
    6. Zhu, Chengyong & Chen, Jie & Qiu, Yingning & Wang, Tongguang, 2021. "Numerical investigation into rotational augmentation with passive vortex generators on the NREL Phase VI blade," Energy, Elsevier, vol. 223(C).
    7. Jiahong Hu & Hui Yang & Jiaxin Yuan, 2025. "Unsteady Aerodynamic Errors in BEM Predictions Under Yawed Flow: CFD-Based Insights into Flow Structures for the NREL Phase VI Rotor," Energies, MDPI, vol. 18(18), pages 1-24, September.
    8. Peng, Mengyao & Hui, Yi & Yang, Qingshan & Liu, Gang & Law, Siu-Seong, 2025. "Modal analysis of mistuned wind turbine induced by blade local damage using continuum mathematical model," Renewable Energy, Elsevier, vol. 252(C).
    9. Zheng, Hua-Dong & Wang, Xian-Feng & Liu, Chen-Xi & Wang, Zhen & Wu, Bin, 2022. "Nonlinear seismic performance of a large-scale vertical-axis wind turbine under wind and earthquake action," Renewable Energy, Elsevier, vol. 200(C), pages 24-36.
    10. Gao, Rongzhen & Yang, Junwei & Yang, Hua & Wang, Xiangjun, 2023. "Wind-tunnel experimental study on aeroelastic response of flexible wind turbine blades under different wind conditions," Renewable Energy, Elsevier, vol. 219(P2).
    11. Cong, Shuai & James Hu, Sau-Lon & Li, Hua-Jun, 2022. "Using incomplete complex modes for model updating of monopiled offshore wind turbines," Renewable Energy, Elsevier, vol. 181(C), pages 522-534.
    12. Xiao, Shaohui & Lin, Kun & Liu, Hongjun & Zhou, Annan, 2021. "Performance analysis of monopile-supported wind turbines subjected to wind and operation loads," Renewable Energy, Elsevier, vol. 179(C), pages 842-858.
    13. Ge, Mingwei & Sun, Haitao & Meng, Hang & Li, Xintao, 2024. "An improved B-L model for dynamic stall prediction of rough-surface airfoils," Renewable Energy, Elsevier, vol. 226(C).
    14. Thiyagarajan Rameshkumar & Perumal Chandrasekar & Raju Kannadasan & Venkatraman Thiyagarajan & Mohammed H. Alsharif & James Hyungkwan Kim, 2022. "Electrical and Mechanical Characteristics Assessment of Wind Turbine System Employing Acoustic Sensors and Matrix Converter," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    15. Meng, Hang & Jin, Danyang & Li, Li & Liu, Yongqian, 2022. "Analytical and numerical study on centrifugal stiffening effect for large rotating wind turbine blade based on NREL 5 MW and WindPACT 1.5 MW models," Renewable Energy, Elsevier, vol. 183(C), pages 321-329.
    16. Mo, Shuai & Liu, Yiheng & Zhang, Yingxin & Zhou, Yuansheng & Huang, Yurong & Houjoh, Haruo & Zhang, Wei, 2025. "Nonlinear dynamics of wind power transmission system with blades," Renewable Energy, Elsevier, vol. 249(C).
    17. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel dynamic stall model based on Theodorsen theory and its application," Renewable Energy, Elsevier, vol. 193(C), pages 344-356.
    18. Chaoyang Zheng & Yongtao Wang & Jiahua Weng & Bingxiao Ding & Jianhua Zhong, 2025. "Dynamic Characteristics Analysis of a Multi-Pile Wind Turbine Under the Action of Wind–Seismic Coupling," Energies, MDPI, vol. 18(11), pages 1-25, May.
    19. Gong, Jianyu & Peng, Wenqiang & Zhao, Zhijie & Luo, Zhenbing & Wang, Hao, 2025. "Dynamic stall control scheme for wind turbines based on distributed dual synthetic jets," Energy, Elsevier, vol. 340(C).
    20. Zhang, Qiang & Liu, Qingsong & Miao, Weipao & Zhang, Wanfu & Li, Chun & Yue, Minnan & Xu, Zifei, 2025. "Data-driven aerodynamic optimization for enhancing unsteady performance in wind energy systems," Energy, Elsevier, vol. 340(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:renene:v:187:y:2022:i:c:p:710-727. 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/renewable-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.