Blind test comparison on the wake behind a yawed wind turbine

Abstract. This article summarizes the results of the “Blind test 5” workshop, which was held in Visby, Sweden, in May 2017. This study compares the numerical predictions of the wake flow behind a model wind turbine operated in yaw to experimental wind tunnel results. Prior to the workshop, research groups were invited to predict the turbine performance and wake flow properties using computational fluid dynamics (CFD) methods. For this purpose, the power, thrust, and yaw moments for a 30∘ yawed model turbine, as well as the wake's mean and turbulent streamwise and vertical flow components, were measured in the wind tunnel at the Norwegian University of Science and Technology (NTNU). In order to increase the complexity, a non-yawed downstream turbine was added in a second test case, while a third test case challenged the modelers with a new rotor and turbine geometry. Four participants submitted predictions using different flow solvers, three of which were based on large eddy simulations (LES) while another one used an improved delayed detached eddy simulation (IDDES) model. The performance of a single yawed turbine was fairly well predicted by all simulations, both in the first and third test cases. The scatter in the downstream turbine performance predictions in the second test case, however, was found to be significantly larger. The complex asymmetric shape of the mean streamwise and vertical velocities was generally well predicted by all the simulations for all test cases. The largest improvement with respect to previous blind tests is the good prediction of the levels of TKE in the wake, even for the complex case of yaw misalignment. These very promising results confirm the mature development stage of LES/DES simulations for wind turbine wake modeling, while competitive advantages might be obtained by faster computational methods.

[1]  L. Sætran,et al.  Performance of the NREL S826 airfoil at low to moderate Reynolds numbers—A reference experiment for CFD models , 2019, European Journal of Mechanics - B/Fluids.

[2]  L. Sætran,et al.  Experimental validation of analytical wake and downstream turbine performance modelling , 2018, Journal of Physics: Conference Series.

[3]  Lars Sætran,et al.  Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines , 2018, Wind Energy Science.

[4]  Hamid Sarlak,et al.  Experimental Investigation of Static Stall Hysteresis and 3-Dimensional Flow Structures for an NREL S826 Wing Section of Finite Span , 2018, Energies.

[5]  Michael Hölling,et al.  Wind tunnel experiments on wind turbine wakes in yaw: effects of inflow turbulence and shear , 2018, Wind Energy Science.

[6]  Michael Hölling,et al.  Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width , 2018 .

[7]  Paul Fleming,et al.  A simulation study demonstrating the importance of large-scale trailing vortices in wake steering , 2018 .

[8]  E. S. Politis,et al.  Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore , 2009, Renewable Energy.

[9]  Jennifer Annoni,et al.  From wake steering to flow control , 2017 .

[10]  Michael Hölling,et al.  Comparative study on the wake deflection behind yawed wind turbine models , 2017 .

[11]  Gabriel Usera,et al.  Simulation of a 7.7 MW onshore wind farm with the Actuator Line Model , 2017 .

[12]  R. Mikkelsen,et al.  High-Order Numerical Simulations of Wind Turbine Wakes , 2017 .

[13]  M. Hölling,et al.  Invitation to the 2017 “Blind test 5” workshop The wake behind a yawed wind turbine , 2017 .

[14]  Martin Kühn,et al.  Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an LES study , 2016 .

[15]  Lars Sætran,et al.  Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions , 2016 .

[16]  Michael Hölling,et al.  Design and implementation of a controllable model wind turbine for experimental studies , 2016 .

[17]  Johan Meyers,et al.  Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions , 2016 .

[18]  L. Sætran,et al.  Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different atmospheric inflow conditions , 2016 .

[19]  Lars Sætran,et al.  ``Blind Test 3'' calculations of the performance and wake development behind two in-line and offset model wind turbines , 2015 .

[20]  Lars Sætran,et al.  Blind Test 2 calculations for two in-line model wind turbines where the downstream turbine operates at various rotational speeds , 2014 .

[21]  Kathryn E. Johnson,et al.  Evaluating techniques for redirecting turbine wakes using SOWFA , 2014 .

[22]  Alberto Zasso,et al.  Actuator forces in CFD: RANS and LES modeling in OpenFOAM , 2014 .

[23]  G. Usera,et al.  A general purpose parallel block structured open source incompressible flow solver , 2014, Cluster Computing.

[24]  Per-Åge Krogstad,et al.  “Blind test” calculations of the performance and wake development for a model wind turbine , 2013 .

[25]  Geoff Capon,et al.  Simulation of Radial Compressor Aeroacoustics Using CFD , 2012 .

[26]  Per-Åge Krogstad,et al.  An experimental and numerical study of the performance of a model turbine , 2012 .

[27]  R. Mikkelsen,et al.  The experimental results of the NREL S826 airfoil at low Reynolds numbers , 2012 .

[28]  Per Bruheim,et al.  A Novel Tool For FEM Analysis of Offshore Wind Turbines With Innovative Visualization Techniques , 2012 .

[29]  X Munduate,et al.  Final Results from Mexnext-I: Analysis of detailed aerodynamic measurements on a 4.5 m diameter rotor placed in the large German Dutch Wind Tunnel DNW , 2010 .

[30]  Peter Davidson,et al.  Is grid turbulence Saffman turbulence? , 2009, Journal of Fluid Mechanics.

[31]  Gabriel Usera,et al.  A Parallel Block-Structured Finite Volume Method for Flows in Complex Geometry with Sliding Interfaces , 2008 .

[32]  S. Bakhrakh,et al.  Experimental and Numerical Study , 2005 .

[33]  S. Hanna,et al.  Air quality model performance evaluation , 2004 .

[34]  Explore Configuring A Simulation Study to , 2004 .

[35]  Jens Nørkær Sørensen,et al.  Numerical Modeling of Wind Turbine Wakes , 2002 .

[36]  Jørgen Fredsøe,et al.  Forces on a cylinder in irregular waves , 1997 .

[37]  R. Gould,et al.  Towards better uncertainty estimates for turbulence statistics , 1996 .

[38]  M. Selig Summary of low speed airfoil data , 1995 .