Development of wake meandering detection algorithms and their application to large eddy simulations of an isolated wind turbine and a wind farm

Coudou, Nicolas; Moens, Maud; Marichal, Yves; Beeck, Jeroen van; Bricteux, Laurent; Chatelain, Philippe

doi:10.1088/1742-6596/1037/7/072024

Cited by 15 publications

(19 citation statements)

References 8 publications

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“…Several general comments can be made. Indeed, as already shown by previous studies (Parkin et al, 2001;Howland et al, 2016;Espana, 2009), the relationship between the wake deviation angle and the yaw angle is a nonlinear monotonically increasing function and the skew angle is 1 order of magnitude lower than the yaw angle. Theoretically, due to the absence of rotational entrainment in the wake of a porous disc and the absence of Coriolis force at such a reduced scale of observation, the absolute value of the wake deviation angle is identical for negative or positive yaw angles.…”

Section: Wake Center Deviationsupporting

confidence: 72%

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Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers

et al. 2021

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Abstract. This article investigates the far wake response of a yawing upstream wind turbine and its impact on the global load variation in a downstream wind turbine. In order to represent misalignment and realignment scenarios, the upstream wind turbine was subjected to positive and negative yaw maneuvers. Yaw maneuvers could be used to voluntarily misalign wind turbines when wake steering control is targeted. The aim of this wind farm control strategy is to optimize the overall production of the wind farm and possibly its lifetime, by mitigating wake interactions. While wake flow and wind turbine load modifications during yaw maneuvers are usually described by quasi-static approaches, the present study aims at quantifying the main transient characteristics of these phenomena. Wind tunnel experiments were conducted in three different configurations, varying both scaling and flow conditions, in which the yaw maneuver was reproduced in a homogeneous turbulent flow at two different scales and in a more realistic flow such as a modeled atmospheric boundary layer. The effects of yaw control on the wake deviation were investigated by the use of stereo particle imaging velocimetry while the load variation on a downstream wind turbine was measured through an unsteady aerodynamic load balance. While overall results show a nondependence of the wake and load dynamics on the flow conditions and Reynolds scales, they highlight an influence of the yaw maneuver direction on their temporal dynamics.

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Section: Wake Center Deviationsupporting

confidence: 72%

“…The results are also dependent on the wake center definition used (not shown here but mentioned in Coudou et al, 2018). Indeed, there are several wake center tracking methods, and their extrapolation to skewed wakes is still under discussion.…”

Section: Wake Center Deviationmentioning

confidence: 93%

Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers

et al. 2021

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“…In order to study the wake meandering, a tracking method is implemented to detect the wake center from instantaneous SPIV fields. The methodology chosen is a 2D convolution adapted from the algorithm described by [10], who applied it to crossflow velocity fields obtained from numerical simulation. It mainly consists in searching for the maximum of the convolution between the field of instantaneous available power p and a masking function (gaussian kernel) with a diameter D and an amplitude of A g .…”

Section: Wake Center Detection Methodsmentioning

confidence: 99%

“…It mainly consists in searching for the maximum of the convolution between the field of instantaneous available power p and a masking function (gaussian kernel) with a diameter D and an amplitude of A g . This is equivalent to looking for the position of a disk, of diameter D, that has the least available power [10]. The choice of using the available power also magnifies the signal as it is proportional to the cube of the streamwise velocity.…”

Section: Wake Center Detection Methodsmentioning

confidence: 99%

Experimental Analysis of the Wake Meandering of a Floating Wind Turbine under Imposed Surge Motion

Garcia

Conan

Aubrun

et al. 2022

J. Phys.: Conf. Ser.

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With the development of floating wind farms, the understanding of the far wake becomes of utmost importance because it cannot only be based on the experience acquired on fixed offshore turbine as the range of motion of the floater due to met-ocean conditions is in the same order of magnitude compared to the energetic turbulent scales of the atmosphere and to the characteristic scales of the wake. The objective of this wind-tunnel experiment is to analyse the behaviour of the wake center of a floating turbine subject to imposed surge motion. The experiment is carried out in the LHEEA wind tunnel where a 1/500 scale wind turbine model is immersed in a realistic offshore atmospheric-boundary layer. The model is actuated in surge by a linear motor able to reproduced idealised second order surge motion of a floating platform (mainly due to the waves) with a realistic amplitude and range of frequencies. Stereoscopic particle image velocimetry measurements are performed at two planes normal to the free-stream at distances of 4.6 and 8.1 diameters downstream of the turbine. Instantaneous velocity fields acquired at 14.1 Hz are individually analysed by convolution to find the location of the wake center. Results show that the wake center spreading is largely influenced by the downstream distance and only slightly affected by the surge motion. However, when analysing the wake position time series by a power spectral density, the signature of the surge motion becomes very clear for both downstream distances. These findings tell that the far wake (at least up to 8.1 diameters downstream) of a floating wind turbine has a “memory” of the motion in its frequency content. When extrapolating to a floating wind farm, this result suggests that a turbine inside a floating wind farm will be immersed in a flow including a significant dynamic signature in the range of its own motion.

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“…The trends were similar but the models systematically overestimated the wake deviation compared to experimental values. Comparison is also very sensitive to the wake center definition used (not shown here but mentioned in Coudou et al (2018)). Indeed, there are several wake center tracking methods and their extrapolation to skewed wakes is still under discussion.…”

Section: Several General Comments Can Be Madementioning

confidence: 99%

Experimental investigation of wind turbine wake and load dynamics during yaw manoeuvres

Macrí¹,

Aubrun²,

Leroy³

et al. 2020

Preprint

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Abstract. This paper investigates the effect of yawing a wind turbine on its wake deviation dynamics and on the global load variation of a downstream wind turbine during a positive and negative yaw manoeuvre, representing a misalignment/realignment scenario. Yaw manoeuvres could be used to voluntarily misalign wind turbines when wake steering control is targeted. The aim of this wind farm control strategy, which is increasingly studied, is to optimize the overall production of the wind farm and possibly its lifetime, by mitigating wake interactions. Whereas wake flow and wind turbine load dynamics during yaw manoeuvres are usually approached by quasi-static models, the present study aims at quantifying dynamical properties of these phenomena. Wind tunnel experiments were conducted in three different configurations, varying both scaling and flow conditions, in which the yaw manoeuvre was reproduced in a homogeneous turbulent flow at two different scales, and in a more realistic flow such as a modelled atmospheric boundary layer. The effects of yaw control on the wake deviation were investigated by the use of stereo Particle Imaging Velocimetry while the load variation on a downstream wind turbine was measured through an unsteady aerodynamic load balance. While overall results show a non dependence of the wake and load dynamics on the flow conditions and Reynolds scales, they highlight an influence of the yaw manoeuvre direction on their temporal dynamics.

show abstract

Development of wake meandering detection algorithms and their application to large eddy simulations of an isolated wind turbine and a wind farm

Cited by 15 publications

References 8 publications

Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers

Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers

Experimental Analysis of the Wake Meandering of a Floating Wind Turbine under Imposed Surge Motion

Experimental investigation of wind turbine wake and load dynamics during yaw manoeuvres

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