Wind tunnel experiments on wind turbine wakes in yaw: effects of inflow turbulence and shear
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Published:2018-06-01
Issue:1
Volume:3
Page:329-343
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ISSN:2366-7451
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Container-title:Wind Energy Science
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language:en
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Short-container-title:Wind Energ. Sci.
Author:
Bartl Jan, Mühle Franz, Schottler Jannik, Sætran LarsORCID, Peinke JoachimORCID, Adaramola Muyiwa, Hölling Michael
Abstract
Abstract. The wake characteristics behind a yawed model wind turbine exposed to different customized inflow conditions are
investigated. Laser Doppler anemometry is used to measure the wake flow in two planes at x∕D = 3 and
x∕D = 6, while the turbine yaw angle is varied from γ=-30∘ to 0∘ to +30∘. The objective is to assess
the influence of grid-generated inflow turbulence and shear on the mean and turbulent flow components. The wake flow is observed to be asymmetric with respect to negative and positive yaw angles. A counter-rotating vortex
pair is detected creating a kidney-shaped velocity deficit for all inflow conditions. Exposing the rotor to non-uniform
highly turbulent shear inflow changes the mean and turbulent wake characteristics only insignificantly. At low inflow
turbulence the curled wake shape and wake center deflection are more pronounced than at high inflow turbulence. For
a yawed turbine the rotor-generated turbulence profiles peak in regions of strong mean velocity gradients, while the
levels of peak turbulence decrease at approximately the same rate as the rotor thrust.
Publisher
Copernicus GmbH
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference38 articles.
1. Annoni, J., Gebraad, P., Scholbrock, A., Fleming, P., and van Wingerden, J.-W.:
Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model,
Wind Energy,
19, 113–1150, https://doi.org/10.1002/we.1891, 2016. a 2. Barthelmie, R. J., Pryor, S. C., Frandsen, S. T., Hansen, K. S., Schepers, J. G., Rados, K., Schlez, W., Neubert, A., Jensen, L. E., and Neckelmann, S.:
Quantifying the impact of wind turbine wakes on power output at offshore wind farms,
J. Atmos. Ocean. Tech.,
27, 1302–1317, https://doi.org/10.1175/2010JTECHA1398.1, 2010. a 3. Bartl, J. and Sætran, L.:
Experimental testing of axial induction based control strategies for wake control and wind farm optimization,
J. Phys. Conf. Ser.,
753, 032035, https://doi.org/10.1088/1742-6596/753/3/032035, 2016. a 4. Bartl, J. and Sætran, L.:
Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions,
Wind Energ. Sci.,
2, 55–76, https://doi.org/10.5194/wes-2-55-2017, 2017. a, b, c, d 5. Bartl, J., Müller, A., Landolt, A., Mühle, F., Vatn, M., Oggiano, L.,
and Sætran, L.: Validation of the real-time-response ProCap measurement
system for full wake scans behind a yawed model-scale wind turbine, DeepWind
2018 Conference, J. Phys. Conf. Ser., in review, 2018. a
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