scholarly journals Modeling dynamic wind direction changes in large eddy simulations of wind farms

2021 ◽  
Vol 170 ◽  
pp. 1342-1352
Author(s):  
Anja Stieren ◽  
Srinidhi N. Gadde ◽  
Richard J.A.M. Stevens
2015 ◽  
Vol 625 ◽  
pp. 012027 ◽  
Author(s):  
S J Andersen ◽  
B Witha ◽  
S-P Breton ◽  
J N Sørensen ◽  
R F Mikkelsen ◽  
...  

2021 ◽  
Author(s):  
Alfredo Peña ◽  
Jeffrey Mirocha

<p>Mesoscale models, such as the Weather Research and Forecasting (WRF) model, are now commonly used to predict wind resources, and in recent years their outputs are being used as inputs to wake models for the prediction of the production of wind farms. Also, wind farm parametrizations have been implemented in the mesoscale models but their accuracy to reproduce wind speeds and turbulent kinetic energy fields within and around wind farms is yet unknown. This is partly because they have been evaluated against wind farm power measurements directly and, generally, a lack of high-quality observations of the wind field around large wind farms. Here, we evaluate the in-built wind farm parametrization of the WRF model, the so-called Fitch scheme that works together with the MYNN2 planetary boundary layer (PBL) scheme against large-eddy simulations (LES) of wakes using a generalized actuator disk model, which was also implemented within the same WRF version. After setting both types of simulations as similar as possible so that the inflow conditions are nearly identical, preliminary results show that the velocity deficits can differ up to 50% within the same area (determined by the resolution of the mesoscale run) where the turbine is placed. In contrast, within that same area, the turbine-generated TKE is nearly identical in both simulations. We also prepare an analysis of the sensitivity of the results to the inflow wind conditions, horizontal grid resolution of both the LES and the PBL run, number of turbines within the mesoscale grid cells, surface roughness, inversion strength, and boundary-layer height.</p>


2018 ◽  
Author(s):  
Andreas Rott ◽  
Bart Doekemeijer ◽  
Janna Seifert ◽  
Jan-Willem van Wingerden ◽  
Martin Kühn

Abstract. The prospects of active wake deflection control to mitigate wake-induced power losses in wind farms have been demonstrated by large eddy simulations, wind tunnel experiments and recent field tests. However, it has not yet been fully understood how the yaw control of wind farms should take into account the variability of current environmental conditions in the field and the uncertainty of their measurements. This research investigated the influence of dynamic wind direction changes on active wake deflection by intended yaw misalignment. For this purpose the wake model FLORIS was used together with wind direction measurements recorded at an onshore met mast in flat terrain. The analysis showed that active wake deflection has a high sensitivity towards short-term wind directional changes. This can lead to an increased yaw activity of the turbines. Fluctuations and uncertainties can cause the attempt to increase the power output to fail. Therefore a methodology to optimise the yaw control algorithm for active wake deflection was introduced, which considers dynamic wind direction changes and inaccuracies in the determination of the wind direction. The evaluation based on real wind direction time series confirmed that the robust control algorithm can be tailored to specific meteorological and wind farm conditions and that it can indeed achieve an overall power increase in realistic inflow conditions. Furthermore recommendations for the implementation are given which could combine the robust behaviour with reduced yaw activity.


2014 ◽  
Vol 68 ◽  
pp. 46-50 ◽  
Author(s):  
Richard J.A.M. Stevens ◽  
Jason Graham ◽  
Charles Meneveau

Wind Energy ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 189-204 ◽  
Author(s):  
Mengqi Zhang ◽  
Mark G. Arendshorst ◽  
Richard J. A. M. Stevens

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