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Multi-Objective Aerodynamic and Structural Optimization of Horizontal-Axis Wind Turbine Blades

机译:水平轴风力涡轮机叶片的多目标空气动力学和结构优化

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A procedure based on MATLAB combined with ANSYS is presented and utilized for the multi-objective aerodynamic and structural optimization of horizontal-axis wind turbine (HAWT) blades. In order to minimize the cost of energy (COE) and improve the overall performance of the blades, materials of carbon fiber reinforced plastic (CFRP) combined with glass fiber reinforced plastic (GFRP) are applied. The maximum annual energy production (AEP), the minimum blade mass and the minimum blade cost are taken as three objectives. Main aerodynamic and structural characteristics of the blades are employed as design variables. Various design requirements including strain, deflection, vibration and buckling limits are taken into account as constraints. To evaluate the aerodynamic performances and the structural behaviors, the blade element momentum (BEM) theory and the finite element method (FEM) are applied in the procedure. Moreover, the non-dominated sorting genetic algorithm (NSGA) II, which constitutes the core of the procedure, is adapted for the multi-objective optimization of the blades. To prove the efficiency and reliability of the procedure, a commercial 1.5 MW HAWT blade is used as a case study, and a set of trade-off solutions is obtained. Compared with the original scheme, the optimization results show great improvements for the overall performance of the blade.
机译:提出了一种基于MATLAB结合ANSYS的程序,并将其用于水平轴风力涡轮机叶片的多目标空气动力学和结构优化。为了最小化能源成本(COE)并提高叶片的整体性能,应用了碳纤维增强塑料(CFRP)与玻璃纤维增​​强塑料(GFRP)结合的材料。最高年度能源产量(AEP),最小叶片质量和最小叶片成本被视为三个目标。叶片的主要空气动力学和结构特征被用作设计变量。约束包括各种设计要求,包括应变,挠度,振动和屈曲极限。为了评估空气动力学性能和结构性能,在该程序中应用了叶片单元动量(BEM)理论和有限元方法(FEM)。而且,构成该过程核心的非支配排序遗传算法(NSGA)II适用于叶片的多目标优化。为了证明该程序的效率和可靠性,以一个商用1.5 MW HAWT叶片为案例研究,并获得了一系列权衡的解决方案。与原始方案相比,优化结果表明刀片的整体性能有了很大的提高。

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