Skip to main content

Advertisement

Log in

Simulation of Turbulent Flow Inside and Above Wind Farms: Model Validation and Layout Effects

  • Article
  • Published:
Boundary-Layer Meteorology Aims and scope Submit manuscript

Abstract

A recently-developed large-eddy simulation framework is validated and used to investigate turbulent flow within and above wind farms under neutral conditions. Two different layouts are considered, consisting of thirty wind turbines occupying the same total area and arranged in aligned and staggered configurations, respectively. The subgrid-scale (SGS) turbulent stress is parametrized using a tuning-free Lagrangian scale-dependent dynamic SGS model. The turbine-induced forces are modelled using two types of actuator-disk models: (a) the ‘standard’ actuator-disk model (ADM-NR), which calculates only the thrust force based on one-dimensional momentum theory and distributes it uniformly over the rotor area; and (b) the actuator-disk model with rotation (ADM-R), which uses blade-element momentum theory to calculate the lift and drag forces (that produce both thrust and rotation), and distributes them over the rotor disk based on the local blade and flow characteristics. Validation is performed by comparing simulation results with turbulence measurements collected with hot-wire anemometry inside and above an aligned model wind farm placed in a boundary-layer wind tunnel. In general, the ADM-R model yields improved predictions compared with the ADM-NR in the wakes of all the wind turbines, where including turbine-induced flow rotation and accounting for the non-uniformity of the turbine-induced forces in the ADM-R appear to be important. Another advantage of the ADM-R model is that, unlike the ADM-NR, it does not require a priori specification of the thrust coefficient (which varies within a wind farm). Finally, comparison of simulations of flow through both aligned and staggered wind farms shows important effects of farm layout on the flow structure and wind-turbine performance. For the limited-size wind farms considered in this study, the lateral interaction between cumulated wakes is stronger in the staggered case, which results in a farm wake that is more homogeneous in the spanwise direction, thus resembling more an internal boundary layer. Inside the staggered farm, the relatively longer separation between consecutive downwind turbines allows the wakes to recover more, exposing the turbines to higher local wind speeds (leading to higher turbine efficiency) and lower turbulence intensity levels (leading to lower fatigue loads), compared with the aligned farm. Above the wind farms, the area-averaged velocity profile is found to be logarithmic, with an effective wind-farm aerodynamic roughness that is larger for the staggered case.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Albertson JD, Parlange MB (1999) Surfaces length scales and shear stress: implications for land-atmosphere interactions over complex terrain. Water Resour Res 35: 2121–2132

    Article  Google Scholar 

  • Alinot C, Masson C (2002) Aerodynamic simulations of wind turbines operating in atmospheric boundary layer with various thermal stratifications. A collection of the 2002 ASME wind energy symposium technical papers, pp 206–215

  • Ammara I, Leclerc C, Masson C (2002) A viscous three-dimensional differential/actuator-disk method for the aerodynamic analysis of wind farms. J Sol Energy Eng 124: 345–356

    Article  Google Scholar 

  • Barthelmie RJ, Rathmann O, Frandsen ST, Hansen K, Politis E, Prospathopoulos J, Chaviaropoulos PK, Rados K, Cabezón D, Schlez W, Phillips J, Neubert A, Schepers J, van der Pijl S (2007) Modelling and measurements of wakes in large wind farms. J Phys Conf Ser 75: 012049

    Article  Google Scholar 

  • Barthelmie RJ, Hansen K, Frandsen ST, Rathmann O, Schepers JG, Schlez W, Phillips J, Rados K, Zervos A, Politis ES, Chaviaropoulos PK (2009) Modelling and measuring flow and wind turbine wakes in large wind farms offshore. Wind Energy 12: 431–444

    Article  Google Scholar 

  • Betz A (1926) Windenergie und Ihre Ausnutzung durch Windmüllen

  • Calaf M, Meneveau C, Meyers J (2010) Large eddy simulation study of fully developed wind-turbine array boundary layers. Phys Fluids 22: 015110

    Article  Google Scholar 

  • Chamorro L, Porté-Agel F (2009) A wind-tunnel investigation of wind-turbine wakes: boundary-layer turbulence effects. Boundary-Layer Meteorol 132: 129–149

    Article  Google Scholar 

  • Chamorro LP, Porté-Agel F (2011) Turbulent flow inside and above a wind farm: a wind-tunnel study. Energies 4: 1916–1936

    Article  Google Scholar 

  • Frandsen S (1992) On the wind-speed reduction in the center of large clusters of wind turbines. J Wind Eng Ind Aerodyn 39: 251–265

    Article  Google Scholar 

  • Gómez-Elvira R, Crespo A, Migoya E, Manuel F, Hernández J (2005) Anisotropy of turbulence in wind turbine wakes. J Wind Eng Ind Aerodyn 93: 797–814

    Article  Google Scholar 

  • Hansen M, Sørensen JN, Voutsinas S, Sørensen N, Madsen HA (2006) State of the art in wind turbine aerodynamics and aeroelasticity. Prog Aerosp Sci 42: 285–330

    Article  Google Scholar 

  • Hansen KS, Barthelmie RJ, Jensen LE, Sommer A (2012) The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at horns rev wind farm. Wind Energy 15: 183–196

    Article  Google Scholar 

  • International Standard IEC 61400-1 (2005) Wind turbines—part 1: design requirements, appendix D: wake and wind farm turbulence, 3rd edn. International Electrotechnical Commission

  • Jimenez A, Crespo A, Migoya E, Garcia J (2007) Advances in large-eddy simulation of a wind turbine wake. J Phys Conf Ser 75: 012041

    Article  Google Scholar 

  • Jimenez A, Crespo A, Migoya E, Garcia J (2008) Large-eddy simulation of spectral coherence in a wind turbine wake. Environ Res Lett 3: 015004

    Article  Google Scholar 

  • Jimenez A, Crespo A, Migoya E, Garcia J (2010) Application of a les technique to characterize the wake deflection of a wind turbine in yaw. Wind Energy 13: 559–572

    Article  Google Scholar 

  • Kasmi AE, Masson C (2008) An extended \({\kappa - \varepsilon}\) model for turbulent flow through horizontal-axis wind turbines. J Wind Eng Ind Aerodyn 96: 103–122

    Article  Google Scholar 

  • Kleissl J, Meneveau C, Parlange MB (2003) On the magnitude and variability of subgrid-scale eddy-diffusion coefficients in the atmospheric surface layer. J Atmos Sci 60: 2372–2388

    Article  Google Scholar 

  • Lettau H (1969) Note on aerodynamic roughness-parameter estimation on the basis of roughness-element description. J Appl Meteorol 8: 828–832

    Article  Google Scholar 

  • Lu H, Porté-Agel F (2011) Large-eddy simulation of a very large wind farm in a stable atmospheric boundary layer. Phys Fluids 23: 065101

    Article  Google Scholar 

  • Markfort CD, Zhang W, Porté-Agel F (2012) Turbulent flow and scalar transport through and over aligned and staggered wind farms. J Turbul. doi:10.1080/14685248.2012.709635

  • Masson C, Ammara I, Paraschivoiu I (1997) An aerodynamic method for the analysis of isolated horizontal-axis wind turbines. Int J Rotating Mach 3: 21–32

    Article  Google Scholar 

  • Phillips AB, Turnock SR, Furlong M (2009) Evaluation of manoeuvring coefficients of a self-propelled ship using a blade element momentum propeller model coupled to a Reynolds averaged Navier Stokes flow solver. Ocean Eng 36: 1217–1225

    Article  Google Scholar 

  • Porté-Agel F (2004) A scale-dependent dynamic model for scalar transport in large-eddy simulations of the atmospheric boundary layer. Boundary-Layer Meteorol 112: 81–105

    Article  Google Scholar 

  • Porté-Agel F, Meneveau C, Parlange MB (2000) A scale-dependent dynamic model for large-eddy simulations: application to a neutral atmospheric boundary layer. J Fluid Mech 415: 261–284

    Article  Google Scholar 

  • Porté-Agel F, Meneveau C, Parlange MB, Eichinger WE (2001) A priori field study of the subgrid-scale heat fluxes and dissipation in the atmospheric surface layer. J Atmos Sci 58: 2673–2698

    Article  Google Scholar 

  • Porté-Agel F, Pahlow M, Meneveau C, Parlange MB (2001) Atmospheric stability effect on subgrid-scale physics for large-eddy simulation. Adv Water Resour 24: 1085–1102

    Article  Google Scholar 

  • Porté-Agel F, Wu YT, Lu H, Conzemius RJ (2011) Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms. J Wind Eng Ind Aerodyn 99: 154–168

    Article  Google Scholar 

  • Schetz JA, Fuhs AE (1996) Handbook of fluid dynamics and fluid machinery. Wiley, New York, 2776 pp

  • Smagorinsky J (1963) General circulation experiments with the primitive equations: I. The basic experiment. Mon Weather Rev 91: 99–164

    Article  Google Scholar 

  • Sørensen JN (2011) Aerodynamic aspects of wind energy conversion. Annu Rev Fluid Mech 43: 427–448

    Article  Google Scholar 

  • Sørensen JN, Kock CW (1995) A model for unsteady rotor aerodynamics. J Wind Eng Ind Aerodyn 58: 259–275

    Article  Google Scholar 

  • Sørensen JN, Myken A (1992) Unsteady actuator disc model for horizontal axis wind turbines. J Wind Eng Ind Aerodyn 39: 139–149

    Article  Google Scholar 

  • Sørensen JN, Shen WZ (2002) Numerical modeling of wind turbine wakes. J Fluids Eng 124: 393–399

    Article  Google Scholar 

  • Stoll R, Porté-Agel F (2006) Dynamic subgrid-scale models for momentum and scalar fluxes in large-eddy simulations of neutrally stratified atmospheric boundary layers over heterogeneous terrain. Water Resour Res 42: W01409

    Article  Google Scholar 

  • Stoll R, Porté-Agel F (2008) Large-eddy simulation of the stable atmospheric boundary layer using dynamic models with different averaging schemes. Boundary-Layer Meteorol 126: 1–28

    Article  Google Scholar 

  • Sunada S, Sakaguchi A, Kawachi K (1997) Airfoil section characteristics at a low Reynolds number. J Fluids Eng 119: 129–135

    Article  Google Scholar 

  • Tseng YH, Meneveau C, Parlange MB (2006) Modeling flow around bluff bodies and predicting urban dispersion using large eddy simulation. Environ Sci Technol 40: 2653–2662

    Article  Google Scholar 

  • Vermeer LJ, Sørensen JN, Crespo A (2003) Wind turbine wake aerodynamics. Prog Aerosp Sci 39: 467–510

    Article  Google Scholar 

  • Wan F, Porté-Agel F (2011) Large-eddy simulation of stably-stratified flow over a steep hill. Boundary-Layer Meteorol 138: 367–384

    Article  Google Scholar 

  • Wan F, Porté-Agel F, Stoll R (2007) Evaluation of dynamic subgrid-scale models in large-eddy simulations of neutral turbulent flow over a two-dimensional sinusoidal hill. Atmos Environ 41: 2719–2728

    Article  Google Scholar 

  • Wu YT, Porté-Agel F (2011) Large-eddy simulation of wind-turbine wakes: evaluation of turbine parametrisations. Boundary-Layer Meteorol 138: 345–366

    Article  Google Scholar 

  • Zhang W, Markfort CD, Porté-Agel F (2012) Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer. Exp Fluids 52: 1219–1235

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fernando Porté-Agel.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wu, YT., Porté-Agel, F. Simulation of Turbulent Flow Inside and Above Wind Farms: Model Validation and Layout Effects. Boundary-Layer Meteorol 146, 181–205 (2013). https://doi.org/10.1007/s10546-012-9757-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10546-012-9757-y

Keywords

Navigation