scholarly journals Computational Examination of Utility Scale Wind Turbine Wake Interactions

2015 ◽  
Vol 05 (04) ◽  
Author(s):  
Tyamo Okosun Chenn Q Zhou
Keyword(s):  
Wind Turbine ◽  
Wake Interactions ◽  
Utility Scale ◽  
Turbine Wake ◽  
Wind Turbine Wake

scholarly journals Utility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar

2014 ◽  
Vol 31 (7) ◽  
pp. 1529-1539 ◽  
Author(s):  
Matthew L. Aitken ◽  
Julie K. Lundquist
Keyword(s):  
Wind Turbine ◽  
Long Range ◽  
Wind Farm ◽  
Thrust Coefficient ◽  
Velocity Deficit ◽  
Scanning Lidar ◽  
Range Scanning ◽  
Utility Scale ◽  
Turbine Wake ◽  
Wind Turbine Wake

Abstract To facilitate the optimization of turbine spacing at modern wind farms, computational simulations of wake effects must be validated through comparison with full-scale field measurements of wakes from utility-scale turbines operating in the real atmosphere. Scanning remote sensors are particularly well suited for this objective, as they can sample wind fields over large areas at high temporal and spatial resolutions. Although ground-based systems are useful, the vantage point from the nacelle is favorable in that scans can more consistently transect the central part of the wake. To the best of the authors’ knowledge, the work described here represents the first analysis in the published literature of a utility-scale wind turbine wake using nacelle-based long-range scanning lidar. The results presented are of a field experiment conducted in the fall of 2011 at a wind farm in the western United States, quantifying wake attributes such as the velocity deficit, centerline location, and wake width. Notable findings include a high average velocity deficit, decreasing from 60% at a downwind distance x of 1.8 rotor diameters (D) to 40% at x = 6D, resulting from a low average wind speed and therefore a high average turbine thrust coefficient. Moreover, the wake width was measured to expand from 1.5D at x = 1.8D to 2.5D at x = 6D. Both the wake growth rate and the amplitude of wake meandering were observed to be greater for high ambient turbulence intensity and daytime conditions as compared to low turbulence and nocturnal conditions.

scholarly journals The effect of dynamic near-wake modulation on utility-scale wind turbine wake development

2020 ◽  
Vol 1618 ◽  
pp. 062063
Author(s):  
Aliza Abraham ◽  
Luis A Martínez-Tossas ◽  
Jiarong Hong
Keyword(s):  
Wind Turbine ◽  
Near Wake ◽  
Utility Scale ◽  
Turbine Wake ◽  
Wind Turbine Wake

scholarly journals Wind turbine wake interactions at field scale: An LES study of the SWiFT facility

2014 ◽  
Vol 524 ◽  
pp. 012139 ◽  
Author(s):  
Xiaolei Yang ◽  
Aaron Boomsma ◽  
Matthew Barone ◽  
Fotis Sotiropoulos
Keyword(s):  
Wind Turbine ◽  
Field Scale ◽  
Wake Interactions ◽  
Turbine Wake ◽  
Wind Turbine Wake

scholarly journals Experimental analysis of time delays in wind turbine wake interactions

2020 ◽  
Vol 1618 ◽  
pp. 062058
Author(s):  
S Macrì ◽  
T Duc ◽  
A Leroy ◽  
N Girard ◽  
S Aubrun
Keyword(s):  
Wind Turbine ◽  
Experimental Analysis ◽  
Time Delays ◽  
Wake Interactions ◽  
Turbine Wake ◽  
Wind Turbine Wake

scholarly journals Mechanisms of dynamic near-wake modulation of a utility-scale wind turbine

2021 ◽  
Vol 926 ◽  
Author(s):  
Aliza Abraham ◽  
Luis A. Martínez-Tossas ◽  
Jiarong Hong
Keyword(s):  
Wind Turbine ◽  
Time Scales ◽  
Time Scale ◽  
Wind Farm ◽  
Control Strategies ◽  
Dynamic Control ◽  
Wake Flow ◽  
Utility Scale ◽  
Turbine Wake ◽  
Wind Turbine Wake

The current study uses large eddy simulations to investigate the transient response of a utility-scale wind turbine wake to dynamic changes in atmospheric and operational conditions, as observed in previous field-scale measurements. Most wind turbine wake investigations assume quasi-steady conditions, but real wind turbines operate in a highly stochastic atmosphere, and their operation (e.g. blade pitch, yaw angle) changes constantly in response. Furthermore, dynamic control strategies have been recently proposed to optimize wind farm power generation and longevity. Therefore, improved understanding of dynamic wake behaviours is essential. First, changes in blade pitch are investigated and the wake expansion response is found to display hysteresis as a result of flow inertia. The time scales of the wake response to different pitch rates are quantified. Next, changes in wind direction with different time scales are explored. Under short time scales, the wake deflection is in the opposite direction of that observed under quasi-steady conditions. Finally, yaw changes are implemented at different rates, and the maximum inverse wake deflection and time scale are quantified, showing a clear dependence on yaw rate. To gain further physical understanding of the mechanism behind the inverse wake deflection, the streamwise vorticity in different parts of the wake is quantified. The results of this study provide guidance for the design of advanced wake flow control algorithms. The lag in wake response observed for both blade pitch and yaw changes shows that proposed dynamic control strategies must implement turbine operational changes with a time scale of the order of the rotor time scale or slower.

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