IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v141y2017icp2300-2313.html
   My bibliography  Save this article

Study on the aeroelastic responses of a wind turbine using a coupled multibody-FVW method

Author

Listed:
  • Tang, Di
  • Bao, Shiyi
  • Luo, Lijia
  • Mao, Jianfeng
  • Lv, Binbin
  • Guo, Hongtao

Abstract

The present study aimed at developing an aeroelastic method of a wind turbine and highlighting the influences of aeroelasticity on both the aerodynamic and the structural performances. System's governing equations considering the aeroelastic effects of large scale wind turbines are derived by coupling a multibody method with a free vortex wake (FVW) method. The resulting differential-algebraic equations (DAE) are transformed to algebraic equations whose Jacobian matrices are difficult to be calculated. Based on an inverse Broyden-Fletcher-Goldfarb-Shanno (BFGS) approach, a quasi-Newton method with a suitable linear search is developed and used to solve those nonlinear equations, thus a new aeroelastic method without Jacobian matrices calculation is proposed. The time domain aeroelastic responses of the NH1500 1.5-MW wind turbine are obtained. The simulation results indicate that aeroelasticity of a blade has significant effects on the wake geometries and structural responses. Flexibility of the tower can cause more violent fluctuations for the power and loads compared with the results of a blade, which can considerably affect the blade fatigue life design.

Suggested Citation

  • Tang, Di & Bao, Shiyi & Luo, Lijia & Mao, Jianfeng & Lv, Binbin & Guo, Hongtao, 2017. "Study on the aeroelastic responses of a wind turbine using a coupled multibody-FVW method," Energy, Elsevier, vol. 141(C), pages 2300-2313.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:2300-2313
    DOI: 10.1016/j.energy.2017.11.105
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217319631
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.11.105?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. Wang, Lin & Liu, Xiongwei & Renevier, Nathalie & Stables, Matthew & Hall, George M., 2014. "Nonlinear aeroelastic modelling for wind turbine blades based on blade element momentum theory and geometrically exact beam theory," Energy, Elsevier, vol. 76(C), pages 487-501.
    2. Capuzzi, M. & Pirrera, A. & Weaver, P.M., 2014. "A novel adaptive blade concept for large-scale wind turbines. Part I: Aeroelastic behaviour," Energy, Elsevier, vol. 73(C), pages 15-24.
    3. Hoogedoorn, Eelco & Jacobs, Gustaaf B. & Beyene, Asfaw, 2010. "Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study," Energy, Elsevier, vol. 35(2), pages 778-785.
    4. 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.
    5. Mo, Wenwei & Li, Deyuan & Wang, Xianneng & Zhong, Cantang, 2015. "Aeroelastic coupling analysis of the flexible blade of a wind turbine," Energy, Elsevier, vol. 89(C), pages 1001-1009.
    6. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Effect of turbulent inflows on airfoil performance for a Horizontal Axis Wind Turbine at low Reynolds numbers (Part II: Dynamic pressure measurement)," Energy, Elsevier, vol. 112(C), pages 574-587.
    7. Zhao, Xueyong & Maißer, Peter & Wu, Jingyan, 2007. "A new multibody modelling methodology for wind turbine structures using a cardanic joint beam element," Renewable Energy, Elsevier, vol. 32(3), pages 532-546.
    8. Capuzzi, M. & Pirrera, A. & Weaver, P.M., 2014. "A novel adaptive blade concept for large-scale wind turbines. Part II: Structural design and power performance," Energy, Elsevier, vol. 73(C), pages 25-32.
    9. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Effect of turbulent inflows on airfoil performance for a Horizontal Axis Wind Turbine at low Reynolds numbers (part I: Static pressure measurement)," Energy, Elsevier, vol. 111(C), pages 701-712.
    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. Tang, Di & Xu, Min & Mao, Jianfeng & Zhu, Hai, 2020. "Unsteady performances of a parked large-scale wind turbine in the typhoon activity zones," Renewable Energy, Elsevier, vol. 149(C), pages 617-630.
    2. Xue, Zhanpu & Wang, Wei & Fang, Liqing & Zhou, Jingbo, 2020. "Numerical simulation on structural dynamics of 5 MW wind turbine," Renewable Energy, Elsevier, vol. 162(C), pages 222-233.
    3. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
    4. 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.
    5. Zhanpu Xue & Hao Zhang & Yunguang Ji, 2023. "Dynamic Response of a Flexible Multi-Body in Large Wind Turbines: A Review," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    6. Francesco Castellani & Davide Astolfi & Matteo Becchetti & Francesco Berno & Filippo Cianetti & Alessandro Cetrini, 2018. "Experimental and Numerical Vibrational Analysis of a Horizontal-Axis Micro-Wind Turbine," Energies, MDPI, vol. 11(2), pages 1-16, February.

    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. Longfeng Hou & Sheng Shen & Ying Wang, 2021. "Numerical Study on Aerodynamic Performance of Different Forms of Adaptive Blades for Vertical Axis Wind Turbines," Energies, MDPI, vol. 14(4), pages 1-19, February.
    2. Li, Qing’an & Xu, Jianzhong & Kamada, Yasunari & Takao, Maeda & Nishimura, Shogo & Wu, Guangxing & Cai, Chang, 2020. "Experimental investigations of airfoil surface flow of a horizontal axis wind turbine with LDV measurements," Energy, Elsevier, vol. 191(C).
    3. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
    4. Li, Yan & Zhu, Qiang & Liu, Liqin & Tang, Yougang, 2018. "Transient response of a SPAR-type floating offshore wind turbine with fractured mooring lines," Renewable Energy, Elsevier, vol. 122(C), pages 576-588.
    5. Guoqiang, Li & Weiguo, Zhang & Yubiao, Jiang & Pengyu, Yang, 2019. "Experimental investigation of dynamic stall flow control for wind turbine airfoils using a plasma actuator," Energy, Elsevier, vol. 185(C), pages 90-101.
    6. Chen, Bei & Hua, Xugang & Zhang, Zili & Nielsen, Søren R.K. & Chen, Zhengqing, 2021. "Active flutter control of the wind turbines using double-pitched blades," Renewable Energy, Elsevier, vol. 163(C), pages 2081-2097.
    7. Pourrajabian, Abolfazl & Nazmi Afshar, Peyman Amir & Ahmadizadeh, Mehdi & Wood, David, 2016. "Aero-structural design and optimization of a small wind turbine blade," Renewable Energy, Elsevier, vol. 87(P2), pages 837-848.
    8. Li, Qing’an & Kamada, Yasunari & Maeda, Takao & Yamada, Keisuke, 2020. "Investigations of flow field around two-dimensional simplified models with wind tunnel experiments," Renewable Energy, Elsevier, vol. 152(C), pages 270-282.
    9. Elgammi, Moutaz & Sant, Tonio & Alshaikh, Moftah, 2020. "Predicting the stochastic aerodynamic loads on blades of two yawed downwind hawts in uncontrolled conditions using a bem algorithm," Renewable Energy, Elsevier, vol. 146(C), pages 371-383.
    10. Xu, Jin & Zhang, Lei & Li, Xue & Li, Shuang & Yang, Ke, 2020. "A study of dynamic response of a wind turbine blade based on the multi-body dynamics method," Renewable Energy, Elsevier, vol. 155(C), pages 358-368.
    11. Zhang, Sanxia & Luo, Kun & Yuan, Renyu & Wang, Qiang & Wang, Jianwen & Zhang, Liru & Fan, Jianren, 2018. "Influences of operating parameters on the aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 160(C), pages 597-611.
    12. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    13. Kamada, Yasunari & Li, Qing'an & Maeda, Takao & Yamada, Keisuke, 2019. "Wind tunnel experimental investigation of flow field around two-dimensional single hill models," Renewable Energy, Elsevier, vol. 136(C), pages 1107-1118.
    14. Wang, H. & Ke, S.T. & Wang, T.G. & Zhu, S.Y., 2020. "Typhoon-induced vibration response and the working mechanism of large wind turbine considering multi-stage effects," Renewable Energy, Elsevier, vol. 153(C), pages 740-758.
    15. Barr, Stephen M. & Jaworski, Justin W., 2019. "Optimization of tow-steered composite wind turbine blades for static aeroelastic performance," Renewable Energy, Elsevier, vol. 139(C), pages 859-872.
    16. Daróczy, László & Janiga, Gábor & Thévenin, Dominique, 2016. "Analysis of the performance of a H-Darrieus rotor under uncertainty using Polynomial Chaos Expansion," Energy, Elsevier, vol. 113(C), pages 399-412.
    17. Scott, Samuel & Capuzzi, Marco & Langston, David & Bossanyi, Ervin & McCann, Graeme & Weaver, Paul M. & Pirrera, Alberto, 2017. "Effects of aeroelastic tailoring on performance characteristics of wind turbine systems," Renewable Energy, Elsevier, vol. 114(PB), pages 887-903.
    18. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Visualization of the flow field and aerodynamic force on a Horizontal Axis Wind Turbine in turbulent inflows," Energy, Elsevier, vol. 111(C), pages 57-67.
    19. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
    20. Chen, Jincheng & Wang, Feng & Stelson, Kim A., 2018. "A mathematical approach to minimizing the cost of energy for large utility wind turbines," Applied Energy, Elsevier, vol. 228(C), pages 1413-1422.

    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:141:y:2017:i:c:p:2300-2313. 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.