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作 者:贾瑞[1] 葛铭纬[1] Rui Jia;Ming-wei Ge(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University)
出 处:《风机技术》2024年第3期86-90,共5页Chinese Journal of Turbomachinery
摘 要:随着风电场规模的扩大和密度的增加,风电场整场的尾流效应也日益显著且备受关注。准确评估风电场尾流效应对于风电场的建设和开发具有重要的意义,但目前仍缺乏同时兼顾计算精度和效率的尾流计算方法。本文基于OpenFOAM平台中的雷诺时均方法,实现了风电场等效粗糙度模型和雷诺平均方法的嵌套。结果表明,该方法相较于工程中常用的Jensen尾流模型和尾流叠加模型,计算精度得到了大幅的提高,且因为其对于风电场建模简单,所需计算资源较少,是用在大型风电场的一种工程应用价值较高的下游尾流计算方法。With the expansion of wind farm scale and increasing turbine density,the wake effects of the entire wind farm have become more prominent and garnered significant attention.Accurately assessing the wake effects in a wind farm is crucial for its construction and development.However,there is currently a lack of wake calculation methods that balance computational accuracy and efficiency.In this study,we implemented a nested approach for the wind farm using the OpenFOAM platform,combining the wind farm equivalent roughness model and the Reynolds-averaged Navier-Stokes(RANS)method.This method was employed for numerical simulations of a large-scale wind farm.The results indicate that this approach significantly improves computational accuracy compared to commonly used wake models in engineering applications.Moreover,due to its simplicity in wind farm modeling,it requires fewer computational resources,making it a rapid wake calculation method suitable for large-scale wind farms.
关 键 词:等效粗糙度模型 风电场尾流 尾流模型 大型风电场
分 类 号:TK83[动力工程及工程热物理—流体机械及工程] TM614[电气工程—电力系统及自动化]
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