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Aerodynamic optimization of a 5 Megawatt wind turbine blade

机译:5兆瓦风力涡轮机叶片的空气动力学优化

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Wind power has been widely considered in recent years as an available and a clean renewable energy source. The cost of wind energy production is currently the main issue, and increasing the size of wind turbines can reduce wind energy production costs. Hence, megawatt wind turbines are being rapidly developed in recent years. In this paper, an aerodynamic analysis of the NREL 5MW turbine is carried out using the modified blade element momentum theory (BEM). The genetic algorithm (GA) as an optimization method and the Bezier curve as a geometry parameterization technique are used to optimize the original design. The modified BEM results are compared with the NREL published results for verification. Cost of energy (COE) is considered an objective function, which is one of the most important and common choices of objective function for a megawatt wind turbine. Besides, the optimization variables involve chord and twist distributions variation along the blade span. The optimal blade shape is investigated for the minimum cost of energy with considered constant rotor diameter and airfoil profiles. Then the objective function is improved and a new optimum geometry is compared with the original geometry. Although the Annual Energy Production and rated power are reduced by 2% and 3% respectively, the net cost of wind energy production is decreased by 15%, showing the importance of such optimization studies.
机译:近年来,风能被广泛认为是一种可利用的清洁可再生能源。风力发电的成本是当前的主要问题,增加风力涡轮机的尺寸可以降低风力发电的成本。因此,近年来兆瓦级风力涡轮机正在快速发展。本文使用改进的叶片元动量理论(BEM)对NREL 5MW涡轮进行了空气动力学分析。使用遗传算法(GA)作为优化方法,并使用Bezier曲线作为几何参数化技术来优化原始设计。将修改后的BEM结果与NREL发布的结果进行比较以进行验证。能源成本(COE)被认为是目标函数,这是兆瓦级风力涡轮机目标函数的最重要和常见选择之一。此外,优化变量包括沿叶片跨度的弦和扭曲分布变化。研究了最佳叶片形状,以在考虑到恒定的转子直径和翼型轮廓的情况下获得最低的能源成本。然后改进目标函数,并将新的最佳几何与原始几何进行比较。尽管年发电量和额定功率分别降低了2%和3%,但风能发电的净成本却降低了15%,这表明进行此类优化研究的重要性。

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