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Prediction of the Wake Behind a Horizontal Axis Tidal Turbine Using a LES-ALM

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Book cover Recent Advances in CFD for Wind and Tidal Offshore Turbines

Part of the book series: Springer Tracts in Mechanical Engineering ((STME))

Abstract

A large-eddy simulation-actuator line method (LES-ALM) applied to a single horizontal axis tidal turbine is presented and validated against experimental data. At a reasonable computational cost, the LES-ALM is capable of capturing the complex wake dynamics, such as tip vortices, despite not explicitly resolving the turbine’s geometry. The LES-ALM is employed to replicate the wake behind a laboratory-scale horizontal axis turbine and achieves a reasonably good agreement with measured data in terms of streamwise velocities and turbulence intensity. The turbine is simulated at six tip speed ratios in order to investigate the rate of decay of velocity deficit and turbulent kinetic energy. In the far-wake, these quantities follow a similar decay rate as proposed in the literature with a −3/4 slope. For cases when the turbine spins at or above the optimal tip speed ratio, the levels of turbulent kinetic energy and wake deficit in the far-wake are found to converge to similar values which seem to be linearly correlated. Finally, transverse velocity profiles from the simulations agree well with those from an analytical model suggesting that the LES-ALM is well-suited for the simulation of the wake of tidal stream turbines.

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References

  1. Ouro P, Harrold M, Stoesser T, Bromley P (2017) Hydrodynamic loadings on a horizontal axis tidal turbine prototype. J Fluids Struct 71:78–95

    Article  Google Scholar 

  2. Stallard T, Feng T, Stansby PK (2015) Experimental study of the mean wake of a tidal stream rotor in a shallow turbulent flow. J Fluids Struct 54:235–246

    Article  Google Scholar 

  3. Stansby P, Stallard T (2016) Fast optimisation of tidal stream turbine positions for power generation in small arrays with low blockage based on superposition of self-similar far-wake velocity deficit profiles. Renew Energy 92:366–375

    Article  Google Scholar 

  4. Breton S, Sumner J, Sorensen J, Hansen K, Sarmast S, Ivanell S (2017) A survey of modelling methods for high-fidelity wind farm simulations using large eddy simulation. Philos Trans A 375:20160,097

    Article  MathSciNet  Google Scholar 

  5. Munters W, Meyers J (2018) Dynamic strategies for yaw and induction control of wind farms based on large-eddy simulation and optimization. Energies 11(1):177

    Google Scholar 

  6. Ouro P, Stoesser T, Fraga B, Lopez-Novoa U (2018) Hydro3D

    Google Scholar 

  7. Cevheri M, McSherry R, Stoesser T (2016) A local mesh refinement approach for large-eddy simulations of turbulent flows. Int J Numer Methods Fluids 82:261–285

    Article  MathSciNet  Google Scholar 

  8. Ouro P, Stoesser T (2017) An immersed boundary-based large-eddy simulation approach to predict the performance of vertical axis tidal turbines. Comput Fluids 152:74–87

    Article  MathSciNet  Google Scholar 

  9. Yang X, Howard KB, Guala M, Sotiropoulos F (2015) Effects of a three-dimensional hill on the wake characteristics of a model wind turbine. Phys Fluids 27(2):025,103

    Article  Google Scholar 

  10. Shen WZ, Mikkelsen R, Sørensen JN, Bak C (2005) Tip loss corrections for wind turbine computations. Wind Energy 8(4):457–475

    Article  Google Scholar 

  11. Martínez-Tossas LA, Churchfield MJ, Yilmaz AE, Sarlak H, Johnson PL, Sørensen JN, Meyers J, Meneveau C (2018) Comparison of four large-eddy simulation research codes and effects of model coefficient and inflow turbulence in actuator-line-based wind turbine modeling. J Renew Sustain Energy 10(3), 033301

    Article  Google Scholar 

  12. Olczak A, Stallard T, Feng T, Stansby PK (2016) Comparison of a RANS blade element model for tidal turbine arrays with laboratory scale measurements of wake velocity and rotor thrust. J Renew Sustain Energy 64:87–106

    Article  Google Scholar 

  13. Park J, Basu S, Manuel L (2014) Large-eddy simulation of stable boundary layer turbulence and estimation of associated wind turbine loads. Wind Energy 17(3):359–384

    Article  Google Scholar 

  14. Kang S, Yang XL, Sotiropoulos F (2014) On the onset of wake meandering for an axial flow turbine in a turbulent open channel flow. J Fluid Mech 744:376–403

    Article  Google Scholar 

  15. Iungo GV, Porté-Agel F (2014) Volumetric lidar scanning of wind turbine wakes under convective and neutral atmospheric stability regimes. J Atmos Ocean Technol 31(10):2035–2048

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government.

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Correspondence to Pablo Ouro .

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Ouro, P., Harrold, M., Ramirez, L., Stoesser, T. (2019). Prediction of the Wake Behind a Horizontal Axis Tidal Turbine Using a LES-ALM. In: Ferrer, E., Montlaur, A. (eds) Recent Advances in CFD for Wind and Tidal Offshore Turbines. Springer Tracts in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-11887-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-11887-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11886-0

  • Online ISBN: 978-3-030-11887-7

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