IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v218y2023ics0960148123012855.html
   My bibliography  Save this article

Unsteady aeroelastic performance analysis for large-scale megawatt wind turbines based on a novel aeroelastic coupling model

Author

Listed:
  • Li, Zhiguo
  • Gao, Zhiying
  • Dai, Yuanjun
  • Wen, Caifeng
  • Zhang, Liru
  • Wang, Jianwen

Abstract

With the size and adaptability of commercial wind turbines are both drastically rising, the aeroelastic performance analysis is crucial for the design and optimization of large-scale megawatt wind turbines. However, most existing aeroelastic methods based on assumption of small deflections are linear models and not suitable for flexible blades often undergoing large deflection. The present study aimed at developing a novel time-variant two-way aeroelastic coupling numerical model for calculating the unsteady load, operational modal analysis, aerodynamic damping and nonlinear large deformation is proposed in this paper. Compared to software GH bladed, this study takes aerodynamic damping analysis and aeroelastic coupling of flexible blades between unsteady load and large structural deformation into consideration. The subspace iteration method widely used in software ANSYS, hybrid beam theory, and modified Newmark-β displacement iteration method are first combined with the blade element momentum theory (BEM). A validation is carried out by comparing the present results with commercial software GH Bladed as well as the NREL (National Renewable Energy Laboratory) public data with a maximum difference of 3.13%, it is validated that the aeroelastic model in this paper is accurate and reliable. Furthermore, the unsteady aeroelastic performance such as aerodynamic force, aerodynamic damping, and dynamic response of flexible blade is further analyzed instantaneously during time-domain simulation in detail. The results indicate that the reduction of aerodynamic load and dynamic response caused by aeroelastic coupling is mainly the out-of-plane structural deformation, yet the blade vibration-induced velocity can be ignored.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:renene:v:218:y:2023:i:c:s0960148123012855
    DOI: 10.1016/j.renene.2023.119370
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123012855
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119370?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, 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.
    2. 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.
    3. Ferčák, Ondřej & Bossuyt, Juliaan & Ali, Naseem & Cal, Raúl Bayoán, 2022. "Decoupling wind–wave–wake interactions in a fixed-bottom offshore wind turbine," Applied Energy, Elsevier, vol. 309(C).
    4. Kim, Dae-Young & Kim, Yeon-Hee & Kim, Bum-Suk, 2021. "Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear," Energy, Elsevier, vol. 214(C).
    5. Sayed, M. & Klein, L. & Lutz, Th. & Krämer, E., 2019. "The impact of the aerodynamic model fidelity on the aeroelastic response of a multi-megawatt wind turbine," Renewable Energy, Elsevier, vol. 140(C), pages 304-318.
    6. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel time-variant prediction model for megawatt flexible wind turbines and its application in NTM and ECD conditions," Renewable Energy, Elsevier, vol. 196(C), pages 1158-1169.
    7. 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.
    8. 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.
    9. Zheng, Jiancai & Wang, Nina & Wan, Decheng & Strijhak, Sergei, 2023. "Numerical investigations of coupled aeroelastic performance of wind turbines by elastic actuator line model," Applied Energy, Elsevier, vol. 330(PB).
    10. Zhang, Buen & Jin, Yaqing & Cheng, Shyuan & Zheng, Yuan & Chamorro, Leonardo P., 2022. "On the dynamics of a model wind turbine under passive tower oscillations," Applied Energy, Elsevier, vol. 311(C).
    11. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. 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.
    4. Lapa, Gabriel Vicentin Pereira & Gay Neto, Alfredo & Franzini, Guilherme Rosa, 2023. "Effects of blade torsion on IEA 15MW turbine rotor operation," Renewable Energy, Elsevier, vol. 219(P2).
    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. 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.
    7. 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.
    8. Zhang, Wenguang & Bai, Xuejian & Wang, Yifeng & Han, Yue & Hu, Yong, 2018. "Optimization of sizing parameters and multi-objective control of trailing edge flaps on a smart rotor," Renewable Energy, Elsevier, vol. 129(PA), pages 75-91.
    9. Chen, Peng & Han, Dezhi, 2022. "Effective wind speed estimation study of the wind turbine based on deep learning," Energy, Elsevier, vol. 247(C).
    10. Geon Hwa Ryu & Young-Gon Kim & Sung Jo Kwak & Man Soo Choi & Moon-Seon Jeong & Chae-Joo Moon, 2022. "Atmospheric Stability Effects on Offshore and Coastal Wind Resource Characteristics in South Korea for Developing Offshore Wind Farms," Energies, MDPI, vol. 15(4), pages 1-23, February.
    11. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2021. "Estimation of the Performance Aging of the Vestas V52 Wind Turbine through Comparative Test Case Analysis," Energies, MDPI, vol. 14(4), pages 1-25, February.
    12. Wang, Bingkai & Sun, Wenlei & Wang, Hongwei & Xu, Tiantian & Zou, Yi, 2024. "Research on rapid calculation method of wind turbine blade strain for digital twin," Renewable Energy, Elsevier, vol. 221(C).
    13. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    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. Andrés Guggeri & Martín Draper, 2019. "Large Eddy Simulation of an Onshore Wind Farm with the Actuator Line Model Including Wind Turbine’s Control below and above Rated Wind Speed," Energies, MDPI, vol. 12(18), pages 1-21, September.
    16. Wang, Yize & Liu, Zhenqing & Ma, Xueyun, 2023. "Improvement of tuned rolling cylinder damper for wind turbine tower vibration control considering real wind distribution," Renewable Energy, Elsevier, vol. 216(C).
    17. Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
    18. Pan He & Jian Xia, 2022. "Study on the Influence of Low-Level Jet on the Aerodynamic Characteristics of Horizontal Axis Wind Turbine Rotor Based on the Aerodynamics–Controller Interaction Method," Energies, MDPI, vol. 15(8), pages 1-18, April.
    19. He-Yong Xu & Chen-Liang Qiao & Zheng-Yin Ye, 2016. "Dynamic Stall Control on the Wind Turbine Airfoil via a Co-Flow Jet," Energies, MDPI, vol. 9(6), pages 1-25, June.
    20. Tang, Xinzi & Yuan, Keren & Gu, Nengwei & Li, Pengcheng & Peng, Ruitao, 2022. "An interval quantification-based optimization approach for wind turbine airfoil under uncertainties," Energy, Elsevier, vol. 244(PA).

    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:218:y:2023:i:c:s0960148123012855. 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.