Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

被引:32
|
作者
Akbari, Vahid [1 ]
Naghashzadegan, Mohammad [1 ]
Kouhikamali, Ramin [1 ]
Afsharpanah, Farhad [2 ]
Yaici, Wahiba [3 ]
机构
[1] Univ Guilan, Dept Mech Engn, Univ Campus 2, Rasht 41996, Iran
[2] Babol Noshirvani Univ Technol, Dept Mech Engn, Babol 47148, Iran
[3] Nat Resources Canada, CanmetENERGY Res Ctr, Ottawa, ON K1A 1M1, Canada
关键词
multi-objective optimization; small wind turbine; renewable energy; turbine blade; airfoil; wind power; power coefficient; artificial neural network (ANN); startup behavior; wind potential; DIFFERENTIAL EVOLUTION; PERFORMANCE;
D O I
10.3390/machines10080687
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The type of airfoil with small wind turbine blades should be selected based on the wind potential of the area in which the turbine is used. In this study, 10 low Reynolds number airfoils, namely, BW-3, E387, FX 63-137, S822, S834, SD7062, SG6040, SG6043, SG6051, and USNPS4, were selected and their performance was evaluated in a 1 kW wind turbine in terms of the power coefficient and also the startup time, by performing a multi-objective optimization study. The blade element momentum technique was utilized to perform the calculations of the power coefficient and startup time and the differential evolution algorithm was employed to carry out the optimization. The results reveal that the type of airfoil used in the turbine blade, aside from the aerodynamic performance, completely affects the turbine startup performance. The SG6043 airfoil has the highest power coefficient and the BW-3 airfoil presents the shortest startup time. The high lift-to-drag ratio of the SG6043 airfoil and the low inertia of the turbine blades fitted with the BW-3 airfoil make them suitable for operation in windy regions and areas with low wind speeds, respectively.
引用
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页数:22
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