Articles | Volume 4, issue 3
Wind Energ. Sci., 4, 421–438, 2019
Wind Energ. Sci., 4, 421–438, 2019

Research article 13 Aug 2019

Research article | 13 Aug 2019

Lidar estimation of rotor-effective wind speed – an experimental comparison

Dominique P. Held and Jakob Mann

Related authors

Detection of wakes in the inflow of turbines using nacelle lidars
Dominique P. Held and Jakob Mann
Wind Energ. Sci., 4, 407–420,,, 2019
Short summary
Comparison of methods to derive radial wind speed from a continuous-wave coherent lidar Doppler spectrum
Dominique P. Held and Jakob Mann
Atmos. Meas. Tech., 11, 6339–6350,,, 2018
Short summary

Related subject area

Wind and turbulence
Seasonal effects in the long-term correction of short-term wind measurements using reanalysis data
Alexander Basse, Doron Callies, Anselm Grötzner, and Lukas Pauscher
Wind Energ. Sci., 6, 1473–1490,,, 2021
Short summary
On the effects of inter-farm interactions at the offshore wind farm Alpha Ventus
Vasilis Pettas, Matthias Kretschmer, Andrew Clifton, and Po Wen Cheng
Wind Energ. Sci., 6, 1455–1472,,, 2021
Short summary
Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling
Rogier Floors, Merete Badger, Ib Troen, Kenneth Grogan, and Finn-Hendrik Permien
Wind Energ. Sci., 6, 1379–1400,,, 2021
Short summary
The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea
Christoffer Hallgren, Stefan Ivanell, Heiner Körnich, Ville Vakkari, and Erik Sahlée
Wind Energ. Sci., 6, 1205–1226,,, 2021
Short summary
Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations
Mark Kelly, Søren Juhl Andersen, and Ásta Hannesdóttir
Wind Energ. Sci., 6, 1227–1245,,, 2021
Short summary

Cited articles

Agency for Data Supply and Efficiency: DHM/Terræn (0,4 m grid), available at:\%C3\%A6n-04-m-grid, last access: 6 December 2018. a
Batchelor, G. K.: The Theory of Homogeneous Turbulence, Cambridge University Press, 1953. a
Bossanyi, E.: Un-freezing the turbulence: application to LiDAR-assisted wind turbine control, IET Renew. Power Gener., 7, 321–329, 2013. a
Chougule, A., Mann, J., Segalini, A., and Dellwik, E.: Spectral tensor parameters for wind turbine load modeling from forested and agricultural landscapes, Wind Energy, 18, 469–481, 2015. a, b
Chougule, A. S., Mann, J., Kelly, M. C., and Larsen, G. C.: Simplification and Validation of a Spectral-Tensor Model for Turbulence Including Atmospheric Stability, Bound.-Lay. Meteorol., 167, 371–397, 2018. a
Short summary
In this study a model of the coherence between turbine- and lidar-estimated rotor-effective wind speed (REWS) is presented. The model is compared against experimental data from two field tests using two- and four-beam nacelle-mounted lidar systems on a test turbine. The proposed model agrees better with the field data than previously used models. Also, it was shown that the advection speed can be estimated by the REWS measured by the lidar.