PIV measurements in a real time controlled model wind turbine wake simulator

Castillo, Ricardo; Wang, Yeqin; Monk, Thelonious; Vasquez, S.; Pol, Suhas; Ren, Beibei; Swift, Allegra; Hussain, Fazle; Westergaard, Carsten

doi:10.1088/1742-6596/753/3/032055

Cited by 5 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wind farm configuration always shows a compromise between a minimal distance between wind turbines to increase the number of generators for a given area and a maximal distance between wind turbines to reduce the production loss due to wake interactions. Farm control is becoming always more crucial in wind energy and voluntary misalignment is one of the strategies being investigated [1][2][3]. Indeed, the appropriate misalignment of a wind turbine can improve the rate of production and the lifetime of the downstream one.…”

Section: Introduction and Work Objectivesmentioning

confidence: 99%

Experimental analysis of the wake dynamics of a modelled wind turbine during yaw manoeuvres

Macrì

Coupiac²,

Girard³

et al. 2018

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Abstract. This work focuses on the dynamic analysis of a modelled wind turbine wake during yaw manoeuvres. Indeed, in the context of wind farm control, misalignment of wind turbines is envisaged as a solution to reduce wind turbine wake interactions, by skewing the wake trajectory. To optimize the control strategies, the aerodynamic response of the wake to this type of yaw manoeuvres, as well as the global load response of the rotor disc of the downstream wind turbine, must be quantified. As a first approach, the identification of the overall system is performed through wind tunnel experiments, using a rotor model based on the actuator disc concept. A misalignment scenario of the upstream wind turbine model is imposed and the wind turbine wake deflection is dynamically captured and measured by the use of Particle Imaging Velocimetry.

show abstract

Section: Introduction and Work Objectivesmentioning

confidence: 99%

Experimental analysis of the wake dynamics of a modelled wind turbine during yaw manoeuvres

Macrì

Coupiac²,

Girard³

et al. 2018

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…On the contrary, exploring innovative strategies in full-scale turbines is impractical and expensive and may not be available for iterative development of wake control strategies. Therefore, the wind tunnel-based "Hyper Accelerated Wind Farm Kinematic-Control Simulator" (HAWKS), deployed in the study by Castillo et al (2016Castillo et al ( , 2017 to characterize wake flow and test wake control strategies, was adapted to test the wake actuation and the wake detection strategies separately.…”

Section: Methodsmentioning

confidence: 99%

Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator

et al. 2019

View full text Add to dashboard Cite

Wind farm control has demonstrated power production improvements using yaw-based wake steering compared to individual turbine optimization. However, slower yaw actuation rates in response to rapid inflow changes lend to impracticality of yaw-based steering, as it causes time-varying downstream rotor–wake overlap, power production fluctuation, and consequent reduction. Therefore, closed-loop wake control is required to mitigate wake deflection uncertainty. To respond to rapid inflow variations, rotor speed actuated is investigated here. Furthermore, wake position information is required as feedback for closed-loop control function. For field-installed turbines, nacelle-based Light detection and ranging (LIDAR) is expected to provide this information. So far, LIDAR-derived wake position has been determined through model-based field reconstruction of scattered LIDAR data. However, this requires sophisticated, economically prohibitive LIDARs. To incorporate inexpensive, two-beam LIDAR for wake detection, a tip vortex-based approach was developed and is also presented here. These contributions can be considered as intermediate steps toward realization of a novel closed-loop wake control.

show abstract

Wind tunnel studies of wind turbine yaw and speed control effects on the wake trajectory and thrust stabilization

Castillo

Pol

2022

Renewable Energy

View full text Add to dashboard Cite

PIV measurements in a real time controlled model wind turbine wake simulator

Cited by 5 publications

References 6 publications

Experimental analysis of the wake dynamics of a modelled wind turbine during yaw manoeuvres

Experimental analysis of the wake dynamics of a modelled wind turbine during yaw manoeuvres

Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator

Wind tunnel studies of wind turbine yaw and speed control effects on the wake trajectory and thrust stabilization

Contact Info

Product

Resources

About