Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO196: Applying motion compensation to floating wind lidar reconstructed wind measurements
Cristina Benzo, Data Science and Application Engineer, Vaisala
Abstract
Offshore wind resource assessment depends on precise wind measurements to assess performance for potential offshore wind farms. Floating lidar systems (FLS) represent a convenient alternative to offshore met masts providing easier installation and data acquisition at multiple heights. Buoy motion, however, presents a key challenge as it increases uncertainty on the wind field reconstructed (WFR) vertical lidar measurements. This research aims to quantify the amelioration of applying motion compensation on the three WFR methods (scalar, vector, and hybrid) for more precise turbulence intensity (TI), horizontal wind speed (HWS), and wind direction values. Previous studies have only been applied for compensation of scalar reconstruction; this study presents results that include compensated hybrid and vector reconstructions. The application of motion compensation in this study is based on the rotational movements of pitch, roll, and yaw movements to the angles of the lines of sight (LOS) of the vertical profiling lidar. Compensated and non-compensated values were compared against a reference fixed lidar on nearby platform. In addition, lidar data from the reference and FLS were compared among the three reconstruction averaging methods of scalar, vector, and hybrid to quantify the amelioration of motion compensation for each reconstruction method. As scalar reconstruction is more commonly used for offshore lidar measurement retrieval, a comparison between scalar/hybrid was conducted to assess any differences between the two. The results demonstrate that rotational movement compensation improves HWS by 7%-23%, direction by 95%, and virtually no change for TI for all reconstruction methods. Though vector reconstruction results were most sensitive to compensation for HWS, scalar and hybrid showed no significant difference, with or without compensation, for all measurement variables. Thus, the importance of accuracy gain with motion compensation are demonstrated, providing future perspective on adding translational movements or higher temporal resolution lidar data for TI.
