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State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling

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  • Wang, Lin
  • Liu, Xiongwei
  • Kolios, Athanasios

Abstract

With the continuous increasing size and flexibility of large wind turbine blades, aeroelasticity has been becoming a significant subject for wind turbine blade design. There have been some examples of commercially developed wind turbines experiencing aeroelastic instability problems in the last decade, which spokes for the necessity of aeroelastic modelling of wind turbine blades. This paper presents the state-of-the-art aeroelastic modelling of wind turbine blades, provides a comprehensive review on the available models for aerodynamic, structural and cross-sectional analysis, discusses the advantages and disadvantages of these models, and outlines the current implementations in this field. This paper is written for both researchers new to this research field by summarising underlying theory whilst presenting a comprehensive review on the latest studies, and experts in this research field by providing a comprehensive list of relevant references in which the details of modelling approaches can be obtained.

Suggested Citation

  • Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
    • Handle: RePEc:eee:rensus:v:64:y:2016:i:c:p:195-210
    DOI: 10.1016/j.rser.2016.06.007
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    References listed on IDEAS

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    Cited by:

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    4. Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.
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    8. Liu, Xiong & Lu, Cheng & Li, Gangqiang & Godbole, Ajit & Chen, Yan, 2017. "Effects of aerodynamic damping on the tower load of offshore horizontal axis wind turbines," Applied Energy, Elsevier, vol. 204(C), pages 1101-1114.
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    12. Win Naung, Shine & Rahmati, Mohammad & Farokhi, Hamed, 2021. "Nonlinear frequency domain solution method for aerodynamic and aeromechanical analysis of wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 66-81.
    13. Richmond, M. & Sobey, A. & Pandit, R. & Kolios, A., 2020. "Stochastic assessment of aerodynamics within offshore wind farms based on machine-learning," Renewable Energy, Elsevier, vol. 161(C), pages 650-661.
    14. Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems & M. Mujahid Rafique, 2018. "Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review," Energies, MDPI, vol. 11(3), pages 1-34, February.
    15. Daniel Osezua Aikhuele & Ayodele A. Periola & Elijah Aigbedion & Herold U. Nwosu, 2022. "Intelligent and Data-Driven Reliability Evaluation Model for Wind Turbine Blades," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 11(1), pages 1-20, January.
    16. Pustina, L. & Lugni, C. & Bernardini, G. & Serafini, J. & Gennaretti, M., 2020. "Control of power generated by a floating offshore wind turbine perturbed by sea waves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. Boatto, Umberto & Bonnet, Paul A. & Avallone, Francesco & Ragni, Daniele, 2023. "Assessment of Blade Element Momentum Theory-based engineering models for wind turbine rotors under uniform steady inflow," Renewable Energy, Elsevier, vol. 214(C), pages 307-317.
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