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The COTUR project: Remote sensing of offshore turbulence for wind energy application.

Authors :
Cheynet, Etienne
Flügge, Martin
Reuder, Joachim
Jakobsen, Jasna B.
Heggelund, Yngve
Svardal, Benny
Saavedra Garfias, Pablo
Obhrai, Charlotte
Daniotti, Nicolò
Berge, Jarle
Duscha, Christiane
Wildmann, Norman
Husøy Onarheim, Ingrid
Godvik, Marte
Source :
Atmospheric Measurement Techniques Discussions. 3/18/2021, p1-32. 32p.
Publication Year :
2021

Abstract

The paper presents the measurement strategy and dataset collected during the COTUR (COherence of TURbulence with lidars) campaign. This field experiment took place from February 2019 to April 2020 on the southwestern coast of Norway. The coherence quantifies the spatial correlation of eddies and is little known in the marine atmospheric boundary layer. The study was motivated by the need to better characterize the lateral coherence, which partly governs the dynamic wind load on multi-megawatt offshore wind turbines. During the COTUR campaign, the coherence was studied using land-based remote sensing technology. The instrument setup consisted of three long-range scanning Doppler wind lidars, one Doppler wind lidar profiler and one passive microwave radiometer. Both the WindScanner software and Lidar Planner software were used jointly to simultaneously orient the three scanner heads into the mean wind direction, which was provided by the lidar wind profiler. The radiometer instrument complemented these measurements by providing temperature and humidity profiles in the atmospheric boundary layer. The preliminary results show an undocumented variation of the lateral coherence with the distance from the coast. The scanning beams were pointed slightly upwards to record turbulence characteristics both within and above the surface layer, providing further insight on the applicability of surface-layer scaling to model the turbulent wind load on offshore wind turbines. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18678610
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques Discussions
Publication Type :
Academic Journal
Accession number :
149425242
Full Text :
https://doi.org/10.5194/amt-2020-511