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

Abstract min mean wind speed estimates is mainly influenced by the mean pitch angle of the floater and the pitch amplitude. We correct motion-induced biases in time-averaged lidar wind speed measurements with a model-based approach, employing the developed analytical model for uncertainty and bias quantification. Testing of the approach with simulated dynamics from two different FOWT concepts shows good results with remaining mean errors below 0.1 m s - 1. For the correction of motion-induced fluctuation in instantaneous measurements, we use a frequency filter to correct fluctuations caused by floater pitch motions for instantaneous measurements. The correction approach's performance depends on the pitch period and amplitude of the FOWT design.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Quantification and correction of motion influence for nacelle-based lidar systems on floating wind turbines ; volume:8 ; number:6 ; year:2023 ; pages:925-946 ; extent:22 ; Wind energy science ; 8, Heft 6 (2023), 925-946 (gesamt 22)

Contributors, Places and Time

• Creator: Gräfe, Moritz ; Pettas, Vasilis ; Gottschall, Julia ; Cheng, Po Wen

Further information

• DOI: 10.5194/wes-8-925-2023
• URN: urn:nbn:de:101:1-2023060804172353389757
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 11.03.2024, 1:14 AM CET