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Improved actuator surface method for wind turbine application

Author

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  • Kim, Taewoo
  • Oh, Sejong
  • Yee, Kwanjung

Abstract

The purpose of this study was to develop an improved actuator surface model for wind turbine analyses. A new actuator surface model based on the lifting line theory has been suggested to eliminate the unexpected induced velocity due to the circulation, as well as to estimate the span-wise and chord-wise variation of the circulation of the blade. In addition, the method developed overcomes the need for tip-loss correction. A fixed wing case was used to validate the proposed method according to the reference line position and the number of chord-wise panels. Additionally, the present method has been validated against other computational results of various wind turbine cases. In this study, the overprediction of the thrust and power coefficients at the hub and tip regions, previously observed in the existing unsteady actuator model, has been eliminated. The ambiguity concerning the location of the reference line has also been eliminated and the ad hoc tip-loss correction widely used in the legacy actuator line/surface model is no longer necessary in this method.

Suggested Citation

  • Kim, Taewoo & Oh, Sejong & Yee, Kwanjung, 2015. "Improved actuator surface method for wind turbine application," Renewable Energy, Elsevier, vol. 76(C), pages 16-26.
    • Handle: RePEc:eee:renene:v:76:y:2015:i:c:p:16-26
    DOI: 10.1016/j.renene.2014.11.002
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    Citations

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    Cited by:

    1. Dong, Guodan & Li, Zhaobin & Qin, Jianhua & Yang, Xiaolei, 2022. "Predictive capability of actuator disk models for wakes of different wind turbine designs," Renewable Energy, Elsevier, vol. 188(C), pages 269-281.
    2. Pim van der Male & Marco Vergassola & Karel N. van Dalen, 2020. "Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures," Energies, MDPI, vol. 13(19), pages 1-35, October.
    3. 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.
    4. Amini, Shayesteh & Golzarian, Mahmood Reza & Mahmoodi, Esmail & Jeromin, Andres & Abbaspour-Fard, Mohammad Hossein, 2021. "Numerical simulation of the Mexico wind turbine using the actuator disk model along with the 3D correction of aerodynamic coefficients in OpenFOAM," Renewable Energy, Elsevier, vol. 163(C), pages 2029-2036.
    5. 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).
    6. Xin Liu & Lailong Li & Shaoping Shi & Xinming Chen & Songhua Wu & Wenxin Lao, 2021. "Three-Dimensional LiDAR Wake Measurements in an Offshore Wind Farm and Comparison with Gaussian and AL Wake Models," Energies, MDPI, vol. 14(24), pages 1-15, December.
    7. Feifei Xue & Heping Duan & Chang Xu & Xingxing Han & Yanqing Shangguan & Tongtong Li & Zhefei Fen, 2022. "Research on the Power Capture and Wake Characteristics of a Wind Turbine Based on a Modified Actuator Line Model," Energies, MDPI, vol. 15(1), pages 1-20, January.
    8. Zhaobin Li & Xiaohao Liu & Xiaolei Yang, 2022. "Review of Turbine Parameterization Models for Large-Eddy Simulation of Wind Turbine Wakes," Energies, MDPI, vol. 15(18), pages 1-28, September.

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