scholarly journals Airfoil Boundary Layer Optimization Toward Aerodynamic Efficiency of Wind Turbines

Author(s):  
Youjin Kim ◽  
Ali Al-Abadi ◽  
Antonio Delgado
2015 ◽  
Vol 4 (0) ◽  
pp. 81
Author(s):  
Zhengren Wu ◽  
Fei Li ◽  
Yunlei Zhai ◽  
Mei Liu

AIAA Journal ◽  
2005 ◽  
Vol 43 (10) ◽  
pp. 2268-2269 ◽  
Author(s):  
D. H. Wood

2017 ◽  
Vol 158 ◽  
pp. 167-175 ◽  
Author(s):  
A. Korobenko ◽  
J. Yan ◽  
S.M.I. Gohari ◽  
S. Sarkar ◽  
Y. Bazilevs

Wind Energy ◽  
2018 ◽  
Vol 21 (11) ◽  
pp. 1216-1231 ◽  
Author(s):  
Néstor Ramos-García ◽  
Henrik Juul Spietz ◽  
Jens Nørkaer Sørensen ◽  
Jens Honoré Walther

2021 ◽  
Author(s):  
Etienne Cheynet ◽  
Martin Flügge ◽  
Joachim Reuder ◽  
Jasna B. Jakobsen ◽  
Yngve Heggelund ◽  
...  

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.


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