基于Matlab的小型风力发电机叶片简单优化技术

A. Ashraf, I. Goda, Mostafa M.Abdalla
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引用次数: 1

摘要

本文研究了利用MATLAB优化工具箱设计和优化叶片弦角和扭转角的过程,以最大化功率系数(CP),从而最大化年发电量(AEP)。导致优化的过程包括选择合适的翼型,沿叶片半径放置翼型,指定翼型之间的样条。利用叶片单元动量理论(BEM)及其修正的MATLAB代码对叶片设计的性能进行了评估。涡轮叶片及其气动效率对小型风力机的效率至关重要,因此对其在市场上的推广至关重要。在叶片半径为70 cm,轮毂半径为10 cm,风速为9 m/s,威布尔分布参数a =4.5, k=2,使用的翼型分别为S835和S834的情况下,研究获得的最大功率系数为0.3647,能量为361.8 kWh/年。结果表明,设计高效的SWT是一种直接而快速的方法,这使得SWT成为一种经济的解决方案,有助于向更可持续的世界过渡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Simple Optimization Technique Using Matlab For Small Wind Turbine Blades
This study tackles a procedure for designing and optimizing the chord and twist angle of the blade using MATLAB optimization toolbox to maximize the power coefficient (CP) then to maximize the annual energy production (AEP). The process leading to optimization includes selection suitable airfoils, placing the airfoils along the blade radius, splining between the specified airfoils. The performance of the blade design is evaluated using a MATLAB code that uses the blade element momentum theory (BEM) and its modifications to get the results. The blades of the turbine and their aerodynamic efficiency are considered vital to the small wind turbine (SWT) efficiency and therefore vital to its spread in the market. The study achieved maximum power coefficient of 0.3647 and energy of 361.8 kWh/year for a blade radius of 70 cm, a hub radius of10 cm and wind speed of 9 m/s with Weibull distribution parameters A=4.5 and k=2 and the used airfoils are S835 and S834. The results showed a direct and fast approach for designing an efficient SWT and this makes the SWT an economic solution that eases the transition towards a more sustainable world.
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