Articles | Volume 3, issue 1
Wind Energ. Sci., 3, 395–408, 2018
Wind Energ. Sci., 3, 395–408, 2018
Research article
14 Jun 2018
Research article | 14 Jun 2018

Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data

Niko Mittelmeier and Martin Kühn

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Cited articles

Bottasso, C. L. and Riboldi, C. E. D.: Estimation of wind misalignment and vertical shear from blade loads, Renew. Energ., 62, 293–302,, 2014. 
Bromm, M., Rott, A., Beck, H., Vollmer, L., Steinfeld, G., and Kühn, M.: Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes, Wind Energy, in press, 2018. 
Brown, E. and Oldroyd, A.: Yaw misalignment study for neighbouring turbines using nacelle mounted LiDARs, in EWEA Offshore, available at: (last access: 10 October 2017), 2015. 
Burton, T., Sharpe, D., Jenkind, N., Bossanyi, E., Jenkins, N., Sharpe, D., and Bossanyi, E.: Wind Energy Handbook, 1st Edn., John Wiley & Sons, Ltd., 2001. 
Burton, T., Jenkins, N., Sharpe, D., and Bossanyi, E.: Wind Energy Handbook, 2nd Edn.,, John Wiley & Sons Ltd 2011. 
Short summary
Upwind horizontal axis wind turbines need to be aligned with the main wind direction to maximize energy yield. This paper presents new methods to improve turbine alignment and detect changes during operational lifetime with standard nacelle met mast instruments. The flow distortion behind the rotor is corrected with a multilinear regression model and two alignment changes are detected with an accuracy of ±1.4° within 3 days of operation after the change is introduced.