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An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines

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  • Edmunds, M.
  • Williams, A.J.
  • Masters, I.
  • Croft, T.N.

Abstract

Simulating fully resolved Horizontal Axis Tidal Turbine (HATT) geometry for a time period great enough to resolve a fully developed wake, and accurately predict power and thrust characteristics, is computationally very expensive. The BEM-CFD method is an enhanced actuator disk and is able to reduce the computational cost by simulating a time averaged downstream velocity field. Current implementations fall short of accurately determining tip losses, which are a function of the hydrofoil geometry. This work proposes a method of addressing this shortfall by modifying the angle of attack to conform to the constraints outlined in Prandtl's lifting line theory, i.e. the zero lift angle of attack at the hydrofoil tip. The revised model is compared to existing BEM-CFD methods and validated against experimental data. The revised BEM-CFD method presented in this work shows a significant improvement over previous BEM-CFD methods when predicting power and thrust. The coefficient of power is reduced from 0.57 (approx. 30% above experiment) to 0.44 (approx. 3% above experiment). An increase in turbulence intensity in the rotor region, in particular at the wake boundary, improves the recovery of the wake without the addition of empirical turbulence source terms. Good correlation with experimental results for power, thrust and wake prediction, is observed. The model may also be applied to wind turbines.

Suggested Citation

  • Edmunds, M. & Williams, A.J. & Masters, I. & Croft, T.N., 2017. "An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 101(C), pages 67-81.
    • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:67-81
    DOI: 10.1016/j.renene.2016.08.007
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    References listed on IDEAS

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    1. Chapman, J.C. & Masters, I. & Togneri, M. & Orme, J.A.C., 2013. "The Buhl correction factor applied to high induction conditions for tidal stream turbines," Renewable Energy, Elsevier, vol. 60(C), pages 472-480.
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    5. Guo, Qiang & Zhou, Lingjiu & Wang, Zhengwei, 2015. "Comparison of BEM-CFD and full rotor geometry simulations for the performance and flow field of a marine current turbine," Renewable Energy, Elsevier, vol. 75(C), pages 640-648.
    6. Mycek, Paul & Gaurier, Benoît & Germain, Grégory & Pinon, Grégory & Rivoalen, Elie, 2014. "Experimental study of the turbulence intensity effects on marine current turbines behaviour. Part I: One single turbine," Renewable Energy, Elsevier, vol. 66(C), pages 729-746.
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    1. Elie, B. & Oger, G. & Guillerm, P.-E. & Alessandrini, B., 2017. "Simulation of horizontal axis tidal turbine wakes using a Weakly-Compressible Cartesian Hydrodynamic solver with local mesh refinement," Renewable Energy, Elsevier, vol. 108(C), pages 336-354.
    2. Chen, Yaling & Lin, Binliang & Sun, Jian & Guo, Jinxi & Wu, Wenlong, 2019. "Hydrodynamic effects of the ratio of rotor diameter to water depth: An experimental study," Renewable Energy, Elsevier, vol. 136(C), pages 331-341.
    3. Badoe, Charles E. & Edmunds, Matt & Williams, Alison J. & Nambiar, Anup & Sellar, Brian & Kiprakis, Aristides & Masters, Ian, 2022. "Robust validation of a generalised actuator disk CFD model for tidal turbine analysis using the FloWave ocean energy research facility," Renewable Energy, Elsevier, vol. 190(C), pages 232-250.
    4. 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.
    5. Zangiabadi, E. & Masters, I. & Williams, Alison J. & Croft, T.N. & Malki, R. & Edmunds, M. & Mason-Jones, A. & Horsfall, I., 2017. "Computational prediction of pressure change in the vicinity of tidal stream turbines and the consequences for fish survival rate," Renewable Energy, Elsevier, vol. 101(C), pages 1141-1156.
    6. González-Gorbeña, Eduardo & Qassim, Raad Y. & Rosman, Paulo C.C., 2018. "Multi-dimensional optimisation of Tidal Energy Converters array layouts considering geometric, economic and environmental constraints," Renewable Energy, Elsevier, vol. 116(PA), pages 647-658.
    7. Li, Siyi & Zhang, Mingrui & Piggott, Matthew D., 2023. "End-to-end wind turbine wake modelling with deep graph representation learning," Applied Energy, Elsevier, vol. 339(C).
    8. Gauvin-Tremblay, Olivier & Dumas, Guy, 2022. "Hydrokinetic turbine array analysis and optimization integrating blockage effects and turbine-wake interactions," Renewable Energy, Elsevier, vol. 181(C), pages 851-869.
    9. Edmunds, Matt & Williams, Alison J. & Masters, Ian & Banerjee, Arindam & VanZwieten, James H., 2020. "A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines," Energy, Elsevier, vol. 194(C).
    10. Niebuhr, C.M. & Schmidt, S. & van Dijk, M. & Smith, L. & Neary, V.S., 2022. "A review of commercial numerical modelling approaches for axial hydrokinetic turbine wake analysis in channel flow," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    11. Fredriksson, Sam T. & Broström, Göran & Bergqvist, Björn & Lennblad, Johan & Nilsson, Håkan, 2021. "Modelling Deep Green tidal power plant using large eddy simulations and the actuator line method," Renewable Energy, Elsevier, vol. 179(C), pages 1140-1155.
    12. Elie, B. & Oger, G. & Vittoz, L. & Le Touzé, D., 2022. "Simulation of two in-line wind turbines using an incompressible Finite Volume solver coupled with a Blade Element Model," Renewable Energy, Elsevier, vol. 187(C), pages 81-93.

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