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Surrogate-based Aerodynamic Shape Optimization with Application to Wind Turbine Airfoils

机译:基于代理的气动形状优化及其在风力机翼型中的应用

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Design of airfoils specially tailored for wind turbine blades has dramatic influence on the performance of a wind turbine. The traditional way for wind turbine airfoil design is a kind of trial and error process. In order to improve the design efficiency was well as the performance of the design, numerical optimization methods coupling optimization algorithm with CFD codes in an automatic process chain are of great interest. This study is focused on the development of efficient numerical optimization design methods for wind turbine airfoils. The main feature is to use surrogate-based optimization. Surrogate-based optimization is very efficient and has the capability of finding global optima; it can be classified as the third-type optimization method other than the traditional gradient-based methods and gradient-free searching methods, such as evolutional algorithms. Optimization designs of FFA-W3-211, inverse design of NPU-WA-300 and realistic numerical optimization of NPU-WA-250 are exercised. Examples show that the developed methods are efficient and robust, with sufficient flexibility of handling both geometric and aerodynamic constraints, multi-points design and multi-objective design.
机译:专为风力涡轮机叶片量身定制的机翼的设计对风力涡轮机的性能产生了巨大影响。风力涡轮机翼型设计的传统方法是一种反复试验的过程。为了提高设计效率和设计性能,在自动过程链中将优化算法与CFD代码结合起来的数值优化方法引起了人们的极大兴趣。这项研究的重点是开发高效的风力涡轮机机翼数值优化设计方法。主要功能是使用基于代理的优化。基于代理的优化非常有效,并且能够找到全局最优值。除了传统的基于梯度的方法和无梯度搜索方法(例如进化算法)外,它还可以归类为第三类优化方法。进行了FFA-W3-211的优化设计,NPU-WA-300的逆向设计以及NPU-WA-250的实际数值优化。实例表明,所开发的方法高效,鲁棒,具有处理几何和空气动力学约束,多点设计和多目标设计的足够灵活性。

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