Articles | Volume 5, issue 3
Wind Energ. Sci., 5, 867–884, 2020
Wind Energ. Sci., 5, 867–884, 2020
Research article
07 Jul 2020
Research article | 07 Jul 2020

Field testing of a local wind inflow estimator and wake detector

Johannes Schreiber et al.

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Cited articles

Bertelè, M., Bottasso, C. L., Cacciola, S., Daher Adegas, F., and Delport, S.: Wind inflow observation from load harmonics, Wind Energ. Sci., 2, 615–640,, 2017. a, b
Bottasso, C. L. and Schreiber, J.: Online model updating by a wake detector for wind farm control, in: 2018 Annual American Control Conference (ACC), Hilton Milwaukee City Center Hotel, Milwaukee, WI, USA, 27–29 June 2018, IEEE, 676–681,, 2018. a
Bottasso, C. L., Croce, A., and Riboldi, C.: Spatial estimation of wind states from the aeroelastic response of a wind turbine, in: TORQUE 2010, The Science of Making Torque from Wind, Forth, Heraklion, Crete, Greece, 28–30 June 2010. a
Bottasso, C. L., Cacciola, S., and Schreiber, J.: Local wind speed estimation, with application to wake impingement detection, Renew. Energ., 116, 155–168,, 2018. a, b, c, d, e, f, g, h
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, 21, 1011–1028,, 2018. a, b, c, d
Short summary
This paper validates a method to estimate the vertical wind shear and detect the presence and location of an impinging wake with field data. Shear and wake awareness have multiple uses, from turbine and farm control to monitoring and forecasting. Results indicate a very good correlation between the estimated vertical shear and the one measured by a met mast and a remarkable ability to locate and track the motion of an impinging wake on an affected rotor.