Articles | Volume 8, issue 6
Research article
06 Jun 2023
Research article |  | 06 Jun 2023

Quantification and correction of motion influence for nacelle-based lidar systems on floating wind turbines

Moritz Gräfe, Vasilis Pettas, Julia Gottschall, and Po Wen Cheng

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Cited articles

Bischoff, O., Wolken-Möhlmann, G., and Cheng, P. W.: An approach and discussion of a simulation based measurement uncertainty estimation for a floating lidar system, J. Phys. Conf. Ser., 2265, 022077,, 2022. a
Borraccino, A., Schlipf, D., Haizmann, F., and Wagner, R.: Wind field reconstruction from nacelle-mounted lidar short-range measurements, Wind Energ. Sci., 2, 269–283,, 2017. a
Bossanyi, E. A., Kumar, A., and Hugues-Salas, O.: Wind turbine control applications of turbine-mounted LIDAR, J. Phys. Conf. Ser., 555, 012011,, 2014. a
Browning, K. and Wexler, R.: The determination of kinematic properties of a wind field using Doppler radar, J. Appl. Meteorol. Clim., 7, 105–113, 1968. a
BWIdeol: Floatgen Wind Power going further Offshore, FLOATGEN,, (last access: 27 April 2023), 2019. a
Short summary
Inflow wind field measurements from nacelle-based lidar systems offer great potential for different applications including turbine control, load validation and power performance measurements. On floating wind turbines nacelle-based lidar measurements are affected by the dynamic behavior of the floating foundations. Therefore, the effects on lidar wind speed measurements induced by floater dynamics must be well understood. A new model for quantification of these effects is introduced in our work.
Final-revised paper