DocumentCode
630731
Title
On the predictive capabilities of LES-actuator disk model in simulating turbulence past wind turbines and farms
Author
Xiaolei Yang ; Sotiropoulos, Fotis
Author_Institution
Dept. of Civil Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
2878
Lastpage
2883
Abstract
In this paper, we validate an LES (large-eddy simulation)-actuator disk model by comparing the computed results with wind tunnel measurements for both stand-alone wind turbine case and wind farm case. In the actuator disk model, the forces are uniformly distributed. The effects of rotation and the effects of nacelle and tower are not taken into account. Dynamic subgrid scale model is employed in the LES. For the stand-alone wind turbine case, grid refinement studies with three different resolutions are performed. Discrepancies with the wind tunnel measurements are observed in the near wake locations (2D and 3D downstream). However, very good agreements with the wind tunnel measurements are obtained for further downstream locations. For the wind farm case, overall good agreements with the wind tunnel measurements are obtained for the streamwise variations of the streamwise mean velocity and the streamwise turbulence intensity at the bottom and top heights of wind turbines. Some discrepancies with the wind tunnel measurements are observed at the hub height of wind turbines.
Keywords
computational fluid dynamics; flow simulation; turbulence; wakes; wind tunnels; wind turbines; LES-actuator disk model; dynamic subgrid scale model; large eddy simulation; nacelle; predictive capabilities; stand alone wind turbine case; streamwise mean velocity; streamwise turbulence intensity; tower; turbulence simulation; wind farm case; wind farms; wind tunnel measurements; Actuators; Computational modeling; Mathematical model; Numerical models; Rotors; Wind farms; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580271
Filename
6580271
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