Yongqian LIU, Fuxing LAI, Jie YAN, et al. Optimal Design Method for Wind Turbine Blades Considering Aerofoil of Cross-section[J]. Power Generation Technology, 2019, 40(4): 382-388.
DOI:
Yongqian LIU, Fuxing LAI, Jie YAN, et al. Optimal Design Method for Wind Turbine Blades Considering Aerofoil of Cross-section[J]. Power Generation Technology, 2019, 40(4): 382-388. DOI: 10.12096/j.2096-4528.pgt.19031.
Optimal Design Method for Wind Turbine Blades Considering Aerofoil of Cross-section
Most traditional methods for optimizing the blade design have no consideration on the aerofoils of cross-section
which makes the blade design difficult to achieve the optimal solution. To solve this problem
this paper proposed an optimal design method for wind turbine blades considering different cross-section aerofoils. The proposed method took cross-section aerofoils
chord length and torsion angle as design variables
takeing relative thickness and relative camber constraints into consideration and aimed at maximizing annual energy production. Genetic algorithm model for optimizing the design parameters of blades was established. Taking a 1.5 MW wind turbine as example
the proposed design method was verified. The results show that the power coefficient of the optimized blade has been significantly improved by considering the cross-section aerofoils; the power coefficient of wind turbine can be maintained around the optimal value
which makes it easier to control the wind turbine to tracking the power curve and capture the maximum wind energy; and also the annual energy production is increased. At the same time
taking relative thickness and relative camber constraints into consideration makes the method closer to the actual engineering application.
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Related Author
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LU Yanan
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ZHAO Qingxu
WANG Xiaodong
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Related Institution
College of Electric Power, Inner Mongolia University of Technology, Hohhot 010051, Inner Mongolia Autonomous Region
Engineering Research Center of Large Energy Storage Technology, Hohhot 010080, Inner Mongolia Autonomous Region
State Grid Jibei Electric Power Research Institute, Xicheng District
Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education (North China Electric Power University), Changping District
School of Electrical and Power Engineering, China University of Mining and Technology