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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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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).
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
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