首页> 外文期刊>Journal of the Brazilian Society of Mechanical Sciences and Engineering >Optimization of NREL phase VI wind turbine by introducing blade sweep, using CFD integrated with genetic algorithms
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Optimization of NREL phase VI wind turbine by introducing blade sweep, using CFD integrated with genetic algorithms

机译:通过引入叶片扫描优化NREL第六阶段风力涡轮机,使用与遗传算法集成的CFD

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摘要

This work presents an optimization procedure through the variation of the sweep curve of a two bladed Horizontal Axis Wind Turbine (HAWT), previously tested by the National Renewable Energy Laboratory (NREL). The steady-state simulation was conducted using unstructured mesh on the whole domain, using a MRF around the rotor. The turbulence model was the k - omega SST. Moreover, a grid independence study was carried out, as well as a validation with experimental data from NREL Phase VI, using the moment as the control variable, whereby it was concluded that the numerical method was validated for a range of wind speeds from 5 m/s to 15 m/s. In addition, an optimization routine was made, aiming to maximize the power coefficient (C-p) of the blades, by means of introducing the sweep curve on the blades. The parameters of sweep, such as radial position of sweep start, maximum displacement of the tip and the exponent of the curve, were chosen as the design variables, and a NSGA-II algorithm was used to do the optimization. Two optimized geometries of the blade were obtained, for the point of maximum C-p one with forward sweep with an increase of 4.49 on the power coefficient; and another one with backward sweep, with an increase of 5.62 on the power coefficient. Moreover, both geometries yielded greater power coefficients for all wind speeds between 10 m/s and 15 m/s, reaching a maximum of 18 increase in the power coefficient, for a wind speed of 14 m/s, maintaining the robustness of the stall regulated HAWT.
机译:这项工作通过改变双叶片水平轴风力涡轮机(HAWT)的扫描曲线提出了优化程序,该曲线之前由国家可再生能源实验室(NREL)测试过。稳态仿真是在整个域上使用非结构化网格进行的,在转子周围使用MRF。湍流模型为k-omega SST。此外,还以力矩为控制变量,进行了电网独立性研究,并利用NREL第六阶段的实验数据进行了验证,得出的结论是,该数值方法在5 m/s至15 m/s的风速范围内进行了验证。此外,还通过引入叶片上的扫掠曲线,制定了优化程序,旨在最大限度地提高叶片的功率系数(C-p)。选取扫描起点径向位置、尖端最大位移和曲线指数等参数作为设计变量,采用NSGA-II算法进行优化。获得了两种优化的叶片几何形状,最大C-p点为前掠点,功率系数提高了4.49%;另一个是向后扫掠,功率系数提高了5.62%。此外,在10 m/s和15 m/s之间的所有风速下,这两种几何形状都产生了更大的功率系数,在风速为14 m/s的情况下,功率系数最多增加了18%,保持了失速调节HAWT的鲁棒性。

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