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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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    5. 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).
    6. 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.
    7. Tian, Linlin & Song, Yilei & Zhao, Ning & Shen, Wenzhong & Zhu, Chunling & Wang, Tongguang, 2020. "Effects of turbulence modelling in AD/RANS simulations of single wind & tidal turbine wakes and double wake interactions," Energy, Elsevier, vol. 208(C).
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    10. Chen, Yaling & Lin, Binliang & Lin, Jie & Wang, Shujie, 2017. "Experimental study of wake structure behind a horizontal axis tidal stream turbine," Applied Energy, Elsevier, vol. 196(C), pages 82-96.
    11. Lande-Sudall, D. & Stallard, T. & Stansby, P., 2019. "Co-located deployment of offshore wind turbines with tidal stream turbine arrays for improved cost of electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 492-503.
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    13. 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.
    14. Durán, Pablo & Meiβner, Cathérine & Casso, Pau, 2020. "A new meso-microscale coupled modelling framework for wind resource assessment: A validation study," Renewable Energy, Elsevier, vol. 160(C), pages 538-554.
    15. 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.
    16. Liu, Cheng & Hu, Changhong, 2019. "An actuator line - immersed boundary method for simulation of multiple tidal turbines," Renewable Energy, Elsevier, vol. 136(C), pages 473-490.
    17. 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.

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