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基于遗传算法的变桨型风力机翼型设计

Optimization Design of Airfoils for Variable-Pitch Wind Turbines Based on Genetic Algorithms
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摘要 从提高叶片效率和降低叶片输出载荷两方面对翼型的设计要求进行了分析,并直接以叶片的综合性能为目标,采用遗传算法耦合XFOIL进行翼型的优化设计,最终以计算流体力学(Computational fluid dynamics,CFD)的计算结果作为翼型性能的评价依据,设计了相对厚度从18%到30%四个风力机专用翼型。从理论上分析了翼型形状改变与性能改善之间的对应关系。结果显示,与行业内成熟的翼型相比,新翼型在效率控制区内能取得更好的升阻力特性,同时在载荷控制区内能减小升力系数,因而采用该族翼型能够在提高叶片的发电量同时减小叶片的输出载荷,为叶片带来更好的综合性能。 The design requirements of wind turbine airfoils is analyzed in terms of the aerodynamic efficiency and the load output.The blade gross performance is directly set as the design objective for aerofoil optimization,and genetic algorithm is used in the design procedure.Computational fluid dynamics (CFD) and the software XFOIL are used to calculate the airfoil aerodynamic characteristics.Finally,a four-airfoil family for pitch-regulated wind turbines is designed with thicknesses ranging from 18% to 30%.The result shows that the designed airfoils have higher lift-to-drag ratios in the efficiency controlled area below the rated wind speed and a relatively low lift coefficient in the load controlled area above the rated wind speed.Therefore,the airfoils can comprehensively improve the wind turbine aerodynamic performance.
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2011年第5期617-622,共6页 Journal of Nanjing University of Aeronautics & Astronautics
基金 国家重点基础研究发展("九七三"计划)(2007CB714600)资助项目 江苏高校优势学科建设工程资助项目
关键词 风力机翼型 评价指标 叶片性能 优化设计 wind turbine aerofoil design objective blade performance optimization design
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参考文献8

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二级参考文献21

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