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Wind turbine power curve prediction with consideration of rotational augmentation effects
[摘要] Wind turbine power curve expresses the relationship between the rotor power and the hub wind speed. Wind turbine power curve prediction is of vital importance for power control and wind energy management. To predict power curve, the Blade Element Moment (BEM) method is used in both academic and industrial communities. Due to the limited range of angles of attack measured in wind tunnel testing and the three-dimensional (3D) rotational augmentation effects in rotating turbines, wind turbine power curve prediction remains a challenge especially at high wind speeds. This paper presents an investigation of considering the rotational augmentation effects using characterized lift and drag coefficients from 3D computational fluid dynamics (CFD) simulations coupled in the BEM method. A Matlab code was developed to implement the numerical calculation. The predicted power outputs were compared with the NREL Phase VI wind turbine measurements. The results demonstrate that the coupled method improves the wind turbine power curve prediction.
[发布日期]  [发布机构] School of Mechanical Engineering, Xiangtan University, Hunan; 411105, China^1
[效力级别] 能源学 [学科分类] 
[关键词] Computational fluid dynamics simulations;Industrial communities;Lift and drag coefficients;Numerical calculation;Range of angles of attack;Rotational augmentation;Threedimensional (3-d);Wind turbine measurement [时效性] 
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