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A hybrid actuator disc – Full rotor CFD methodology for modelling the effects of wind turbine wake interactions on performance

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  • Sturge, D.
  • Sobotta, D.
  • Howell, R.
  • While, A.
  • Lou, J.

Abstract

The performance of individual wind turbines is crucial for maximum energy yield, however, their performance is often reduced when turbines are placed together in an array. The wake produced by the rotors interacts with downstream turbines, resulting in a reduction in power output. In this paper, we demonstrate a new and faster modelling technique which combines actuator disc theory, modelled using wind tunnel validated Computational Fluid Dynamics (CFD), and integrated into full rotor CFD simulations. This novel hybrid of techniques results in the ability to analyse performance when simulating various array layouts more rapidly and accurately than using either method on its own.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:80:y:2015:i:c:p:525-537
    DOI: 10.1016/j.renene.2015.02.053
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    References listed on IDEAS

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    1. Malki, Rami & Masters, Ian & Williams, Alison J. & Nick Croft, T., 2014. "Planning tidal stream turbine array layouts using a coupled blade element momentum – computational fluid dynamics model," Renewable Energy, Elsevier, vol. 63(C), pages 46-54.
    2. Richard Cowell & Gill Bristow & Max Munday, 2011. "Acceptance, acceptability and environmental justice: the role of community benefits in wind energy development," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(4), pages 539-557.
    3. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    4. Sturge, D. & While, A. & Howell, R., 2014. "Engineering and energy yield: The missing dimension of wind turbine assessment," Energy Policy, Elsevier, vol. 65(C), pages 245-250.
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    Cited by:

    1. 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.
    2. Li, Qing'an & Murata, Junsuke & Endo, Masayuki & Maeda, Takao & Kamada, Yasunari, 2016. "Experimental and numerical investigation of the effect of turbulent inflow on a Horizontal Axis Wind Turbine (part II: Wake characteristics)," Energy, Elsevier, vol. 113(C), pages 1304-1315.
    3. Rafael V. Rodrigues & Corinne Lengsfeld, 2019. "Development of a Computational System to Improve Wind Farm Layout, Part II: Wind Turbine Wakes Interaction," Energies, MDPI, vol. 12(7), pages 1-27, April.
    4. Rafael V. Rodrigues & Corinne Lengsfeld, 2019. "Development of a Computational System to Improve Wind Farm Layout, Part I: Model Validation and Near Wake Analysis," Energies, MDPI, vol. 12(5), pages 1-24, March.
    5. Liang, Xiaoling & Fu, Shifeng & Cai, Fulin & Han, Xingxing & Zhu, Weijun & Yang, Hua & Shen, Wenzhong, 2023. "Experimental investigation on wake characteristics of wind turbine and a new two-dimensional wake model," Renewable Energy, Elsevier, vol. 203(C), pages 373-381.

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