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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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    1. Borg, Michael & Collu, Maurizio & Kolios, Athanasios, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. Part II: Mooring line and structural dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1226-1234.
    2. Kim, Taewoo & Oh, Sejong & Yee, Kwanjung, 2015. "Improved actuator surface method for wind turbine application," Renewable Energy, Elsevier, vol. 76(C), pages 16-26.
    3. Qiu, Yong-Xing & Wang, Xiao-Dong & Kang, Shun & Zhao, Ming & Liang, Jun-Yu, 2014. "Predictions of unsteady HAWT aerodynamics in yawing and pitching using the free vortex method," Renewable Energy, Elsevier, vol. 70(C), pages 93-106.
    4. 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.
    5. Liu, Xiongwei & Wang, Lin & Tang, Xinzi, 2013. "Optimized linearization of chord and twist angle profiles for fixed-pitch fixed-speed wind turbine blades," Renewable Energy, Elsevier, vol. 57(C), pages 111-119.
    6. Yu, Dong Ok & Kwon, Oh Joon, 2014. "Predicting wind turbine blade loads and aeroelastic response using a coupled CFD–CSD method," Renewable Energy, Elsevier, vol. 70(C), pages 184-196.
    7. Jeong, Min-Soo & Kim, Sang-Woo & Lee, In & Yoo, Seung-Jae & Park, K.C., 2013. "The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 60(C), pages 256-268.
    8. Lanzafame, R. & Messina, M., 2012. "BEM theory: How to take into account the radial flow inside of a 1-D numerical code," Renewable Energy, Elsevier, vol. 39(1), pages 440-446.
    9. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    10. Borg, Michael & Shires, Andrew & Collu, Maurizio, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. part I: Aerodynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1214-1225.
    11. Sturge, D. & Sobotta, D. & Howell, R. & While, A. & Lou, J., 2015. "A hybrid actuator disc – Full rotor CFD methodology for modelling the effects of wind turbine wake interactions on performance," Renewable Energy, Elsevier, vol. 80(C), pages 525-537.
    12. Wang, Lin & Liu, Xiongwei & Guo, Lianggang & Renevier, Nathalie & Stables, Matthew, 2014. "A mathematical model for calculating cross-sectional properties of modern wind turbine composite blades," Renewable Energy, Elsevier, vol. 64(C), pages 52-60.
    13. Ederer, Nikolaus, 2014. "The right size matters: Investigating the offshore wind turbine market equilibrium," Energy, Elsevier, vol. 68(C), pages 910-921.
    14. Lanzafame, R. & Messina, M., 2007. "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory," Renewable Energy, Elsevier, vol. 32(14), pages 2291-2305.
    15. Li, Y. & Castro, A.M. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2015. "Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence," Renewable Energy, Elsevier, vol. 76(C), pages 338-361.
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