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Adapted two-equation turbulence closures for actuator disk RANS simulations of wind & tidal turbine wakes

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  • Shives, Michael
  • Crawford, Curran

Abstract

Reliable methods for modelling wake recovery within a farm of wind or tidal turbines are critical for obtaining accurate estimates of annual energy production, and for detailed farm layout optimization. These are important objectives for maximizing energy yield while minimizing costs. Computational fluid dynamics (CFD) simulation is rapidly being adopted as a tool for flow modelling in wind and tidal farms, gaining favour over more traditional and simpler empirically-determined wake models. The most practical methodology for CFD simulations of turbine farms uses an actuator disk (AD) representation for each rotor, which imposes the rotor forces by adding source terms to the governing equations rather than explicitly resolving the flow over the turbine blades. It is well understood that when using the AD approach, standard turbulence models tend to predict faster wake recovery than is observed in real flows. Thus, the standard CFD turbulence models must be adapted for use with the AD methodology. Additionally, because of the manner in which the AD approach distributes the rotor forces, it cannot resolve the system of discrete vortices trailed from the blade tips.

Suggested Citation

  • Shives, Michael & Crawford, Curran, 2016. "Adapted two-equation turbulence closures for actuator disk RANS simulations of wind & tidal turbine wakes," Renewable Energy, Elsevier, vol. 92(C), pages 273-292.
  • Handle: RePEc:eee:renene:v:92:y:2016:i:c:p:273-292
    DOI: 10.1016/j.renene.2016.02.026
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    1. Ian Masters & Alison Williams & T. Nick Croft & Michael Togneri & Matt Edmunds & Enayatollah Zangiabadi & Iain Fairley & Harshinie Karunarathna, 2015. "A Comparison of Numerical Modelling Techniques for Tidal Stream Turbine Analysis," Energies, MDPI, vol. 8(8), pages 1-21, July.
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    Cited by:

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    8. Ye, Maokun & Chen, Hamn-Ching & Koop, Arjen, 2023. "High-fidelity CFD simulations for the wake characteristics of the NTNU BT1 wind turbine," Energy, Elsevier, vol. 265(C).
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    12. Hachmann, Christoph & Stallard, Tim & Stansby, Peter & Lin, Binliang, 2021. "Experimentally validated study of the impact of operating strategies on power efficiency of a turbine array in a bi-directional tidal channel," Renewable Energy, Elsevier, vol. 163(C), pages 1408-1426.
    13. Li, Xiaorong & Li, Ming & McLelland, Stuart J. & Jordan, Laura-Beth & Simmons, Stephen M. & Amoudry, Laurent O. & Ramirez-Mendoza, Rafael & Thorne, Peter D., 2017. "Modelling tidal stream turbines in a three-dimensional wave-current fully coupled oceanographic model," Renewable Energy, Elsevier, vol. 114(PA), pages 297-307.
    14. Moghadassian, Behnam & Sharma, Anupam, 2020. "Designing wind turbine rotor blades to enhance energy capture in turbine arrays," Renewable Energy, Elsevier, vol. 148(C), pages 651-664.
    15. Tian, Linlin & Song, Yilei & Wang, Zhenming & Zhao, Ning & Zhu, Chunling & Lu, Xiyun, 2024. "Predictive capability of an improved AD/RANS method for multiple wind turbines and wind farm wakes," Energy, Elsevier, vol. 297(C).
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    17. Huilai Ren & Xiaodong Zhang & Shun Kang & Sichao Liang, 2018. "Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy," Energies, MDPI, vol. 12(1), pages 1-19, December.

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