IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v69y2014icp402-409.html
   My bibliography  Save this article

Unsteady aerodynamic prediction for dynamic stall of wind turbine airfoils with the reduced order modeling

Author

Listed:
  • Liu, Pengyin
  • Yu, Guohua
  • Zhu, Xiaocheng
  • Du, Zhaohui

Abstract

A surrogate based reduced order method is developed for the prediction of the unsteady dynamic loading of wind turbine airfoils under dynamic stall situation. S809 airfoil undergoing sinusoidal pitch oscillation at different reduced frequencies, mean angles of attack and pitch oscillation amplitudes at Re = 106 are simulated by the CFD method. Then, the Kriging function is selected to establish the unsteady and nonlinear aerodynamic model with training cases generated by the CFD method. The results reveal an encouraging agreement between the CFD simulations and the reduced order model predictions. Furthermore, Ohio State University measurement data and Leishman–Beddoes model predictions for test cases are also included. Because CFD has good accuracy simulation for flow field around the airfoil under dynamic stall condition, the reduced order model can more effectively predict the airfoil nonlinear hysteretic behavior than L–B model. In addition, the reduced order method has relatively less computational cost compared with the CFD method. Therefore, it would be useful in engineering conditioning for aero-elastic analysis and design optimization of wind turbines.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:69:y:2014:i:c:p:402-409
    DOI: 10.1016/j.renene.2014.03.066
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148114002419
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2014.03.066?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. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    2. Li, Yuwei & Paik, Kwang-Jun & Xing, Tao & Carrica, Pablo M., 2012. "Dynamic overset CFD simulations of wind turbine aerodynamics," Renewable Energy, Elsevier, vol. 37(1), pages 285-298.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    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. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    2. Hailay Kiros Kelele & Torbjørn Kirstian Nielsen & Lars Froyd & Mulu Bayray Kahsay, 2020. "Catchment Based Aerodynamic Performance Analysis of Small Wind Turbine Using a Single Blade Concept for a Low Cost of Energy," Energies, MDPI, vol. 13(21), pages 1-20, November.
    3. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2020. "URANS simulations of a horizontal axis wind turbine under stall condition using Reynolds stress turbulence models," Energy, Elsevier, vol. 213(C).
    4. Lee, Kyoungsoo & Huque, Ziaul & Kommalapati, Raghava & Han, Sang-Eul, 2017. "Fluid-structure interaction analysis of NREL phase VI wind turbine: Aerodynamic force evaluation and structural analysis using FSI analysis," Renewable Energy, Elsevier, vol. 113(C), pages 512-531.
    5. Farhan, A. & Hassanpour, A. & Burns, A. & Motlagh, Y. Ghaffari, 2019. "Numerical study of effect of winglet planform and airfoil on a horizontal axis wind turbine performance," Renewable Energy, Elsevier, vol. 131(C), pages 1255-1273.
    6. Nour Khlaifat & Ali Altaee & John Zhou & Yuhan Huang & Ali Braytee, 2020. "Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia," Energies, MDPI, vol. 13(9), pages 1-26, May.
    7. Jijian Lian & Yaya Jia & Haijun Wang & Fang Liu, 2016. "Numerical Study of the Aerodynamic Loads on Offshore Wind Turbines under Typhoon with Full Wind Direction," Energies, MDPI, vol. 9(8), pages 1-21, August.
    8. Lee, Kyoungsoo & Huque, Ziaul & Kommalapati, Raghava & Han, Sang-Eul, 2016. "Evaluation of equivalent structural properties of NREL phase VI wind turbine blade," Renewable Energy, Elsevier, vol. 86(C), pages 796-818.
    9. Miller, Aaron & Chang, Byungik & Issa, Roy & Chen, Gerald, 2013. "Review of computer-aided numerical simulation in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 122-134.
    10. Abdulqadir, Sherwan A. & Iacovides, Hector & Nasser, Adel, 2017. "The physical modelling and aerodynamics of turbulent flows around horizontal axis wind turbines," Energy, Elsevier, vol. 119(C), pages 767-799.
    11. Lin, Yan-Ting & Chiu, Pao-Hsiung & Huang, Chin-Cheng, 2017. "An experimental and numerical investigation on the power performance of 150 kW horizontal axis wind turbine," Renewable Energy, Elsevier, vol. 113(C), pages 85-93.
    12. Mauro, S. & Lanzafame, R. & Messina, M. & Brusca, S., 2023. "On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation," Energy, Elsevier, vol. 275(C).
    13. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    14. Jinghua Lin & You-Lin Xu & Yong Xia & Chao Li, 2019. "Structural Analysis of Large-Scale Vertical-Axis Wind Turbines, Part I: Wind Load Simulation," Energies, MDPI, vol. 12(13), pages 1-31, July.
    15. Youjin Kim & Galih Bangga & Antonio Delgado, 2020. "Investigations of HAWT Airfoil Shape Characteristics and 3D Rotational Augmentation Sensitivity Toward the Aerodynamic Performance Improvement," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    16. Xiao, Han & Liu, Zhenwei & Zhang, Ran & Kelham, Andrew & Xu, Xiangyang & Wang, Xu, 2021. "Study of a novel rotational speed amplified dual turbine wheel wave energy converter," Applied Energy, Elsevier, vol. 301(C).
    17. Liu, Yuanchuan & Xiao, Qing & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng, 2017. "Establishing a fully coupled CFD analysis tool for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 112(C), pages 280-301.
    18. Ali, Qazi Shahzad & Kim, Man-Hoe, 2021. "Design and performance analysis of an airborne wind turbine for high-altitude energy harvesting," Energy, Elsevier, vol. 230(C).
    19. Amin Allah, Veisi & Shafiei Mayam, Mohammad Hossein, 2017. "Large Eddy Simulation of flow around a single and two in-line horizontal-axis wind turbines," Energy, Elsevier, vol. 121(C), pages 533-544.
    20. Ying, P. & Chen, Y.K. & Xu, Y.G. & Tian, Y., 2015. "Computational and experimental investigations of an omni-flow wind turbine," Applied Energy, Elsevier, vol. 146(C), pages 74-83.

    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:69:y:2014:i:c:p:402-409. 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.