Simulation of the inherent turbulence and wake interaction inside an infinitely long row of wind turbines

Andersen, Søren Juhl; Sørensen, Jens Nørkær; Mikkelsen, Robert Flemming

doi:10.1080/14685248.2013.796085

Cited by 39 publications

(37 citation statements)

References 12 publications

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“…Figure 8 shows an example of the wake center position relative to the hub location as function of time. Clearly, the lateral movement is larger and there are large fluctuations following a Strouhal frequency related to the spacing, see Andersen et al [26]. Unlike, the yaw steering investigations performed by e.g.…”

Section: Wind Turbine and Wake Positionmentioning

confidence: 89%

Instantaneous Response and Mutual Interaction between Wind Turbine and Flow

Andersen¹,

Sørensen²

2018

J. Phys.: Conf. Ser.

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Abstract. The mutual fluid-structure interaction between wind turbine(s) and the highly turbulent flow deep inside a large wind farm is investigated in order to elucidate on how to implement and perform dynamic wind farm control. The study employs a fully coupled LES and aeroelastic framework, which provide time resolved flow and turbine response governed by a controller. The results show a large correlation between incoming flow and turbine response, which extends several radii upstream and could be utilized for turbine control by e.g. installing a lidar on top of the wind turbine. Similarly, the results are valuable for utilizing nacelle mounted lidars for power curve assessments in large wind farms. However, the correlations between turbine and wake flow as well as the dynamic wake position are low, which is potentially discouraging for attempts to do instantaneous yaw steering.

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Section: Wind Turbine and Wake Positionmentioning

confidence: 89%

Instantaneous Response and Mutual Interaction between Wind Turbine and Flow

Andersen¹,

Sørensen²

2018

J. Phys.: Conf. Ser.

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“…The wake area identification is described in Section 2.3. The wake center is given as the center of gravity of the vd distribution within the wake area [21,32]. The height and width are the distances from edge to edge of the wake in the vertical and horizontal directions, through the wake center.…”

Section: Wake Characterizationmentioning

confidence: 99%

Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements

Doubrawa

Barthelmie

Wang³

et al. 2016

Remote Sensing

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Scanning LiDARs can be used to obtain three-dimensional wind measurements in and beyond the atmospheric surface layer. In this work, metrics characterizing wind turbine wakes are derived from LiDAR observations and from large-eddy simulation (LES) data, which are used to recreate the LiDAR scanning geometry. The metrics are calculated for two-dimensional planes in the vertical and cross-stream directions at discrete distances downstream of a turbine under single-wake conditions. The simulation data are used to estimate the uncertainty when mean wake characteristics are quantified from scanning LiDAR measurements, which are temporally disjunct due to the time that the instrument takes to probe a large volume of air. Based on LES output, we determine that wind speeds sampled with the synthetic LiDAR are within 10% of the actual mean values and that the disjunct nature of the scan does not compromise the spatial variation of wind speeds within the planes. We propose scanning geometry density and coverage indices, which quantify the spatial distribution of the sampled points in the area of interest and are valuable to design LiDAR measurement campaigns for wake characterization. We find that scanning geometry coverage is important for estimates of the wake center, orientation and length scales, while density is more important when seeking to characterize the velocity deficit distribution.

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“…To the author's knowledge, it is the first time that the proposed control strategy is implemented in a CFD method with turbine rotors modeled as actuator discs, although it has been implemented together with the actuator line method (see e.g. [3]), as well as in Blade Element Momentum based codes [4]. Therefore, some details are given about this strategy below, followed by comparative results concerning the effect of downstream turbines on upstream ones in terms of production.…”

Section: Introductionmentioning

confidence: 99%

Comparative CFD study of the effect of the presence of downstream turbines on upstream ones using a rotational speed control system

Breton¹,

Nilsson²,

Ivanell³

et al. 2014

J. Phys.: Conf. Ser.

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Comparative CFD study of the effect of the presence of downstream turbines on upstream ones using a rotational speed control systemTo cite this article: S-P Breton et al 2014 J. Phys.: Conf. Ser. 555 012014 View the article online for updates and enhancements. Related contentTurbulence characteristics in a free wake of an actuator disk: comparisons between a rotating and a non-rotating actuator disk in uniform inflow H Olivares-Espinosa, S-P Breton, C Masson et al. Abstract.The effect of a downstream turbine on the production of a turbine located upstream of the latter is studied in this work. This is done through the use of two CFD simulation codes, namely OpenFOAM and EllipSys3D, which solve the Navier-Stokes equations in their incompressible form using a finite volume approach. In both EllipSys3D and OpenFoam, the LES (Large Eddy Simulation) technique is used for modelling turbulence. The wind turbine rotors are modelled as actuator disks whose loading is determined through the use of tabulated airfoil data by applying the blade-element method. A generator torque controller is used in both simulation methods to ensure that the simulated turbines adapt, in terms of rotational velocity, to the inflow conditions they are submited to. Results from both simulation codes, although they differ slightly, show that the downstream turbine affects the upstream one when the spacing between the turbines is small. This is also suggested to be the case looking at measurements performed at the Lillgrund offshore wind farm, whose turbines are located unusually close to each other. However, for distances used in today's typical wind farms, this effect is shown by our calculations not to be significant.

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Simulation of the inherent turbulence and wake interaction inside an infinitely long row of wind turbines

Cited by 39 publications

References 12 publications

Instantaneous Response and Mutual Interaction between Wind Turbine and Flow

Instantaneous Response and Mutual Interaction between Wind Turbine and Flow

Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements

Comparative CFD study of the effect of the presence of downstream turbines on upstream ones using a rotational speed control system

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