节点文献
风力机远尾流速度型建模
MODELLING OF THE VELOCITY PROFILE OF WIND TURBINE FAR WAKE
【摘要】 通过研究风力机尾流速度型的分布形态,引入二项分布方程并将其转化为高斯分布方程,基于Garrad Hassan的风力机尾流实验,建立一个预测风力机远尾流速度型的工程模型。按照建模的实验条件,对引入致动盘方法的流场求解附带可实现k-ε湍流模型的轴对称不可压Navier-Stokes方程,对比分析CFD计算结果和建模结果。通过与实验结果和CFD结果的比较分析,验证本风力机尾流模型的有效性。
【Abstract】 Based on a wind turbine wake experiment of Garrad Hassan,a novel far wake velocity profile predictionmodel,called Gaussian Distribution Prediction(GDP),was proposed. With the investigation of the wind turbine wakevelocity profile distribution,the equation of Gaussian distribution which was transferred from Binomial distribution wasintroduced to the model GDP. According to the experimental conditions,the axisymmetric incompressible Navier-Stokesequations were used to calculate the domain with actuator disc method with a realizable turbulent model. The results fromGDP,CFD and experiment were compared and analyzed,validating the effectiveness of GDP model.
- 【文献出处】 太阳能学报 ,Acta Energiae Solaris Sinica , 编辑部邮箱 ,2014年03期
- 【分类号】TK83
- 【被引频次】9
- 【下载频次】258