Large-scale wind turbine blade design and aerodynamic analysis |
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Authors: | Email author" target="_blank">TongGuang?WangEmail author Long?Wang Wei?Zhong BoFeng?Xu Li?Chen |
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Institution: | (1) University of California, Davis, CA, USA;(2) Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616-5294, USA |
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Abstract: | Incorporating controlled elitism and dynamic distance crowding strategies, a modified NSGA-II algorithm based on a fast and
genetic non-dominated sorting algorithm is developed with the aim of obtaining a novel multi-objective optimization design
algorithm for wind turbine blades. As an example, a high-performance 1.5 MW wind turbine blade, taking maximum annual energy
production and minimum blade mass as the optimization objectives, was designed. A 1/16-scale model of this blade was tested
in a 12 m × 16 m wind tunnel and the experimental results validated the high performance. Moreover, both the computational
fluid dynamics (CFD) method and a free-vortex method (FVM) were applied to calculating the aerodynamic performance, which
was consistent with the experimental data. For completeness, the CFD and FVM were used to analyze the wake structure, and
good and consistent results were obtained between them. |
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Keywords: | wind turbine multi-objective optimization wind tunnel test CFD free-vortex method |
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