Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production
Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production
复制标题
基于计算流体动力学的风力涡轮机叶片尖端延伸替代优化，以最大限度地提高能源产量
DOI：
10.1088/1742-6596/1037/4/042013
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Barlas
中科院分区：
文献类型：
--
作者：
F. Zahle;N. Sørensen;M. McWilliam;A. Barlas
本文提出了一个设计研究到重新设计的风力涡轮机叶尖寻求增加能量生产受到现有叶片的负载约束。叶片形状被参数化以允许叶尖区域中关于弦、扭转和叶片长度延伸的平面形状变化，以及另外三个允许探索小翼形状的参数。该设计策略使用几何解析转子的3D计算流体动力学计算来创建代理模型，之后根据代理模型对叶尖形状进行数值优化，并受到许多几何和基于负载的约束。该研究表明，对于带小翼的叶片延伸部，可以将功率产生增加2.6%，而不会增加90%半径处的挥舞弯矩，而对于直叶片延伸部，只能实现0.76%的增加。
This article presents a design study into the redesign of a wind turbine blade tip seeking to increase the energy production subject to the loads constraints of the existing blade. The blade shape is parameterized to allow for planform changes in the tip region with respect to chord, twist and blade length extension, and additionally three parameters that allow to explore winglet-like shapes. The design strategy uses 3D computational fluid dynamics computations of the geometrically resolved rotor to create a surrogate model, after which the tip shape is numerically optimized based on the surrogate model, subject to a number of geometric and loads-based constraints. The study shows that it is possible to increase power production by 2.6% for a blade extension with a winglet, without increasing the flapwise bending moment at 90% radius, whereas for a straight blade extension it was only possible to achieve an increase of 0.76%.