Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study

In this study, large-eddy simulation is combined with a turbine model to investigate the influence of atmospheric thermal stability on wind-turbine wakes. The simulation results show that atmospheric stability has a significant effect on the spatial distribution of the mean velocity deficit and turbulence statistics in the wake region as well as the wake meandering characteristics downwind of the turbine. In particular, the enhanced turbulence level associated with positive buoyancy under the convective condition leads to a relatively larger flow entrainment and, thus, a faster wake recovery. For the particular cases considered in this study, the growth rate of the wake is about 2.4 times larger for the convective case than for the stable one. Consistent with this result, for a given distance downwind of the turbine, wake meandering is also stronger under the convective condition compared with the neutral and stable cases. It is also shown that, for all the stability cases, the growth rate of the wake and wake meandering in the vertical direction is smaller compared with the ones in the lateral direction. This is mainly related to the different turbulence levels of the incoming wind in the different directions, together with the anisotropy imposed by the presence of the ground. It is also found that the wake velocity deficit is well characterized by a modified version of a recently proposed analytical model that is based on mass and momentum conservation and the assumption of a self-similar Gaussian distribution of the velocity deficit. Specifically, using a two-dimensional elliptical (instead of axisymmetric) Gaussian distribution allows to account for the different lateral and vertical growth rates, particularly in the convective case, where the non-axisymmetry of the wake is stronger. Detailed analysis of the resolved turbulent kinetic energy budget in the wake reveals also that thermal stratification considerably affects the magnitude and spatial distribution of the turbulence production, dissipation, and transport terms.

[1]  Gunner Chr. Larsen,et al.  Comparison of Wake Models with Data for Offshore Windfarms , 2001 .

[2]  J. Sørensen Aerodynamic Aspects of Wind Energy Conversion , 2011 .

[3]  Fernando Porté-Agel,et al.  A Scale-Dependent Dynamic Model for Scalar Transport in Large-Eddy Simulations of the Atmospheric Boundary Layer , 2001 .

[4]  Leo E. Jensen,et al.  The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm , 2010 .

[5]  Fernando Porté-Agel,et al.  Wind-Turbine Wakes in a Convective Boundary Layer: A Wind-Tunnel Study , 2013, Boundary-Layer Meteorology.

[6]  S. Orszag Transform method for the calculation of vector-coupled sums: Application to the spectral form of the vorticity equation , 1970 .

[7]  Fernando Porté-Agel,et al.  Dynamic subgrid‐scale models for momentum and scalar fluxes in large‐eddy simulations of neutrally stratified atmospheric boundary layers over heterogeneous terrain , 2006 .

[8]  C. Moeng A Large-Eddy-Simulation Model for the Study of Planetary Boundary-Layer Turbulence , 1984 .

[9]  S. Loyer,et al.  Wind tunnel study of the wake meandering downstream of a modelled wind turbine as an effect of large scale turbulent eddies , 2012 .

[10]  Fernando Porté-Agel,et al.  Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms , 2011 .

[11]  Rebecca J. Barthelmie,et al.  Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm , 2010 .

[12]  Leo E. Jensen,et al.  Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms , 2010 .

[13]  F. Porté-Agel,et al.  A new analytical model for wind-turbine wakes , 2013 .

[14]  Y. U-H E N G T S E N G,et al.  Modeling Flow around Bluff Bodies and Predicting Urban Dispersion Using Large Eddy Simulation , 2006 .

[15]  F. Sotiropoulos,et al.  On the onset of wake meandering for an axial flow turbine in a turbulent open channel flow , 2014, Journal of Fluid Mechanics.

[16]  Morten Nielsen,et al.  Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm , 2007 .

[17]  Fernando Porté-Agel,et al.  Volumetric Lidar Scanning of Wind Turbine Wakes under Convective and Neutral Atmospheric Stability Regimes , 2014 .

[18]  P. Moin,et al.  A dynamic subgrid‐scale model for compressible turbulence and scalar transport , 1991 .

[19]  M. Magnusson,et al.  Air flow behind wind turbines , 1999 .

[20]  F. Porté-Agel,et al.  A new boundary condition for large-eddy simulation of boundary-layer flow over surface roughness transitions , 2012 .

[21]  A. Baklanov,et al.  Further comments on the equilibrium height of neutral and stable planetary boundary layers , 2007 .

[22]  P. E. Hancock,et al.  Wind-Tunnel Simulation of the Wake of a Large Wind Turbine in a Stable Boundary Layer: Part 2, the Wake Flow , 2014, Boundary-Layer Meteorology.

[23]  F. Porté-Agel,et al.  A Wind-Tunnel Investigation of Wind-Turbine Wakes: Boundary-Layer Turbulence Effects , 2009 .

[24]  P. Moin,et al.  A dynamic subgrid‐scale eddy viscosity model , 1990 .

[25]  M. J. Dwyer,et al.  Turbulent kinetic energy budgets from a large-eddy simulation of airflow above and within a forest canopy , 1997 .

[26]  Stel Nathan Walker,et al.  Wake measurements behind a large horizontal axis wind turbine generator , 1984 .

[27]  Charlotte Bay Hasager,et al.  Comparing mixing-length models of the diabatic wind profile over homogeneous terrain , 2010 .

[28]  G.J.W. Van Bussel,et al.  Influence of atmospheric stability on wind turbine loads , 2013 .

[29]  M. Parlange,et al.  Surface length scales and shear stress: Implications for land‐atmosphere interaction over complex terrain , 1999 .

[30]  Fernando Porté-Agel,et al.  A Numerical Study of the Effects of Wind Direction on Turbine Wakes and Power Losses in a Large Wind Farm , 2013 .

[31]  M. Parlange,et al.  Modeling flow around bluff bodies and predicting urban dispersion using large eddy simulation. , 2006, Environmental science & technology.

[32]  A. Rosen,et al.  The power fluctuations of a wind turbine , 1996 .

[33]  J. Sørensen,et al.  Wind turbine wake aerodynamics , 2003 .

[34]  F. Porté-Agel,et al.  Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study , 2012 .

[35]  Fernando Porté-Agel,et al.  Surface Heterogeneity Effects on Regional-Scale Fluxes in Stable Boundary Layers: Surface Temperature Transitions , 2009 .

[36]  E. F. Bradley,et al.  Flux-Profile Relationships in the Atmospheric Surface Layer , 1971 .

[37]  F. Porté-Agel,et al.  Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations , 2011 .

[38]  Fernando Porté-Agel,et al.  Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm , 2015 .

[39]  F. Porté-Agel,et al.  A scale-dependent dynamic model for large-eddy simulation: application to a neutral atmospheric boundary layer , 2000, Journal of Fluid Mechanics.

[40]  Gunner Chr. Larsen,et al.  On atmospheric stability in the dynamic wake meandering model , 2014 .

[41]  J. Michalakes,et al.  A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics , 2012 .

[42]  G. Larsen,et al.  Light detection and ranging measurements of wake dynamics part I: one‐dimensional scanning , 2010 .