IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v193y2022icp344-356.html
   My bibliography  Save this article

A novel dynamic stall model based on Theodorsen theory and its application

Author

Listed:
  • Li, Zhiguo
  • Gao, Zhiying
  • Chen, Yongyan
  • Zhang, Liru
  • Wang, Jianwen

Abstract

The unsteady aerodynamic characteristics and serious time-lag of wind turbine blades due to long time of dynamic stall make the actual measured power of rotor seriously deviate from its static prediction value. Therefore, dynamic stall model is becoming more and more significant for the Megawatt wind turbine with larger size and flexibility. In this paper, a novel dynamic stall model accounting for attached flow and dynamic separation flow of trailing edge is built using Theodorsen theory and Kirchhoff potential flow theory. The model includes the unsteady effect arising from vortex shedding and flow separation on trailing edge, and takes boundary layer lag and pressure lag into consideration. A validation is carried out by comparing the response of the model with incompressible dynamic stall model in software GH Bladed using airfoils data from National Renewable Energy Laboratory (NREL) 5 MW offshore wind turbine blades as input. The consistent results prove that the proposed model is accurate, reliable and universal. Furthermore, effect factors such as mean angle of attack, angle of attack amplitude, Mach number, reduced frequency and time constants on dynamic stall performance are further explored. The proposed model will provide a new choice for calculating aerodynamic load of the blades under stall condition.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:193:y:2022:i:c:p:344-356
    DOI: 10.1016/j.renene.2022.04.128
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122005961
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.04.128?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Pengyin & Yu, Guohua & Zhu, Xiaocheng & Du, Zhaohui, 2014. "Unsteady aerodynamic prediction for dynamic stall of wind turbine airfoils with the reduced order modeling," Renewable Energy, Elsevier, vol. 69(C), pages 402-409.
    2. 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).
    3. Huang, Bin & Wang, Pengzhong & Wang, Lu & Cao, Tingfa & Wu, Dazhuan & Wu, Peng, 2021. "A combined method of CFD simulation and modified Beddoes-Leishman model to predict the dynamic stall characterizations of S809 airfoil," Renewable Energy, Elsevier, vol. 179(C), pages 1636-1649.
    4. Liu, Xiong & Liang, Shi & Li, Gangqiang & Godbole, Ajit & Lu, Cheng, 2020. "An improved dynamic stall model and its effect on wind turbine fatigue load prediction," Renewable Energy, Elsevier, vol. 156(C), pages 117-130.
    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. Yan, Jie & Nuertayi, Akejiang & Yan, Yamin & Liu, Shan & Liu, Yongqian, 2023. "Hybrid physical and data driven modeling for dynamic operation characteristic simulation of wind turbine," Renewable Energy, Elsevier, vol. 215(C).
    2. Li, Zhiguo & Gao, Zhiying & Dai, Yuanjun & Wen, Caifeng & Zhang, Liru & Wang, Jianwen, 2023. "Unsteady aeroelastic performance analysis for large-scale megawatt wind turbines based on a novel aeroelastic coupling model," Renewable Energy, Elsevier, vol. 218(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. 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).
    2. Tariq Ullah & Krzysztof Sobczak & Grzegorz Liśkiewicz & Amjid Khan, 2022. "Two-Dimensional URANS Numerical Investigation of Critical Parameters on a Pitch Oscillating VAWT Airfoil under Dynamic Stall," Energies, MDPI, vol. 15(15), pages 1-19, August.
    3. 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.
    4. 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).
    5. Gharali, Kobra & Gharaei, Eshagh & Soltani, M. & Raahemifar, Kaamran, 2018. "Reduced frequency effects on combined oscillations, angle of attack and free stream oscillations, for a wind turbine blade element," Renewable Energy, Elsevier, vol. 115(C), pages 252-259.
    6. 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.
    7. Li, Zhiguo & Gao, Zhiying & Dai, Yuanjun & Wen, Caifeng & Zhang, Liru & Wang, Jianwen, 2023. "Unsteady aeroelastic performance analysis for large-scale megawatt wind turbines based on a novel aeroelastic coupling model," Renewable Energy, Elsevier, vol. 218(C).
    8. 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.
    9. 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).
    10. Wang, Pengzhong & Wang, Lu & Huang, Bin & Wu, Rui & Wang, Yu, 2024. "The effects of vortex generators on the characteristics of the tip hydrofoil and the horizontal axis tidal turbine blade," Renewable Energy, Elsevier, vol. 224(C).
    11. De Tavernier, D. & Ferreira, C. & Viré, A. & LeBlanc, B. & Bernardy, S., 2021. "Controlling dynamic stall using vortex generators on a wind turbine airfoil," Renewable Energy, Elsevier, vol. 172(C), pages 1194-1211.
    12. Zhu, Chengyong & Feng, Yi & Shen, Xiang & Dang, Zhigao & Chen, Jie & Qiu, Yingning & Feng, Yanhui & Wang, Tongguang, 2023. "Effects of the height and chordwise installation of the vane-type vortex generators on the unsteady aerodynamics of a wind turbine airfoil undergoing dynamic stall," Energy, Elsevier, vol. 266(C).
    13. Zhang, Lijun & Miao, Junjie & Gu, Jiawei & Li, Xiang & Hu, Kuoliang & Zhu, Huaibao & Sun, Xuefa & Liu, Jing & Liu, Yanxin & Wang, Zhiwei, 2021. "A method of reducing the radial load of the shaft of a vertical axis wind turbine based on movable mass blocks," Renewable Energy, Elsevier, vol. 175(C), pages 952-964.
    14. Zhang, Dahai & Liu, Di & Liu, Xiaodong & Xu, Haiyang & Wang, Yuankui & Bi, Ran & Qian, Peng, 2024. "Unsteady effects of a winglet on the performance of horizontal-axis tidal turbine," Renewable Energy, Elsevier, vol. 225(C).
    15. Liu, Xiong & Liang, Shi & Li, Gangqiang & Godbole, Ajit & Lu, Cheng, 2020. "An improved dynamic stall model and its effect on wind turbine fatigue load prediction," Renewable Energy, Elsevier, vol. 156(C), pages 117-130.
    16. Wenyan Li & Yuxuan Xiong & Guoliang Su & Zuyang Ye & Guowu Wang & Zhao Chen, 2023. "The Aerodynamic Performance of Horizontal Axis Wind Turbines under Rotation Condition," Sustainability, MDPI, vol. 15(16), pages 1-15, August.

    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:193:y:2022:i:c:p:344-356. 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.