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

被引:8
作者
Abraham, Aliza [1 ,2 ]
Martinez-Tossas, Luis A. [3 ]
Hong, Jiarong [1 ,2 ]
机构
[1] Univ Minnesota, St Anthony Falls Lab, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Dept Mech Engn, Minneapolis, MN 55455 USA
[3] Natl Renewable Energy Lab, Golden, CO 80401 USA
基金
美国国家科学基金会;
关键词
flow-structure interactions; vortex dynamics; wakes; INDUCTION CONTROL; TIP VORTICES; MODEL; INSTABILITY; SIMULATION; TURBULENCE; STABILITY; LAYER; FARM;
D O I
10.1017/jfm.2021.737
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
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.
引用
收藏
页数:25
相关论文
共 77 条
[1]  
Abraham A., 2020, J PHYS C SER
[2]   Dynamic wake modulation induced by utility-scale wind turbine operation [J].
Abraham, Aliza ;
Hong, Jiarong .
APPLIED ENERGY, 2020, 257
[3]   Effect of turbine nacelle and tower on the near wake of a utility-scale wind turbine [J].
Abraham, Aliza ;
Dasari, Teja ;
Hong, Jiarong .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2019, 193
[4]   Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data [J].
Aitken, Matthew L. ;
Banta, Robert M. ;
Pichugina, Yelena L. ;
Lundquist, Julie K. .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2014, 31 (04) :765-787
[5]   Instantaneous Response and Mutual Interaction between Wind Turbine and Flow. [J].
Andersen, Soren Juhl ;
Sorensen, Jens Norkaer .
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
[6]  
Annoni J, 2017, P AMER CONTR CONF, P717, DOI 10.23919/ACC.2017.7963037
[7]   Experimental and theoretical study of wind turbine wakes in yawed conditions [J].
Bastankhah, Majid ;
Porte-Agel, Fernando .
JOURNAL OF FLUID MECHANICS, 2016, 806 :506-541
[8]   A new analytical model for wind-turbine wakes [J].
Bastankhah, Majid ;
Porte-Agel, Fernando .
RENEWABLE ENERGY, 2014, 70 :116-123
[9]   Experimental investigation of dynamic inflow effects with a scaled wind turbine in a controlled wind tunnel environment [J].
Berger, Frederik ;
Kuehn, Martin .
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
[10]  
Blaylock ML, 2019, ASME JSME KSME JOINT