Articles | Volume 1, issue 1
Wind Energ. Sci., 1, 41–53, 2016
Wind Energ. Sci., 1, 41–53, 2016
Research article
11 Apr 2016
Research article | 11 Apr 2016

Full-field assessment of wind turbine near-wake deviation in relation to yaw misalignment

Juan José Trujillo et al.

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Cited articles

Aitken, M. L., Banta, R. M., Pichugina, Y. L., and Lundquist, J. K.: Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data, J. Atmos. Ocean. Tech., 31, 765–787,, 2014.
Burton, T., Sharpe, D., Jenkins, N., and Bossanyi, E.: Wind Energy Handbook, John Wiley & Sons, Chichester, UK, 103–106,, 2001.
Cañadillas, B., Muñoz-Esparza, D., and Neumann, T.: Fluxes Estimation and the derivation of the atmospheric Stability at the offshore mast FINO1, in: EWEA Offshore, available at: (last access: 8 April 2016), 2011.
Dörenkämper, M.: An investigation of the atmospheric influence on spatial and temporal power fluctuations in offshore wind farms, PhD thesis, University of Oldenburg, Dr. Hut-Verlag, Munich, Germany, 168 pp., 2015.
España, G., Aubrun, S., Loyer, S., and Devinant, P.: Spatial study of the wake meandering using modelled wind turbines in a wind tunnel, Wind Energy, 14, 923–937,, , 2011.
Short summary
We present the analysis of the trajectories followed by the wind, in the immediate vicinity, behind an offshore wind turbine and their dependence on its yaw misalignment. We apply wake tracking on wind fields measured with a lidar (light detection and ranging) system located at the nacelle of the wind turbine and pointing downstream. The analysis reveals discrepancies of the estimated mean wake paths against theoretical and wind tunnel experiments using different wake-tracking techniques.