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作 者:汪泉[1] 柳柏杨 胡聪 王冯云 Wang Quan;Liu Baiyang;Hu Cong;Wang Fengyun(School of Mechanical Engineering,Hubei University of Technology,Wuhan 430068,China)
机构地区:[1]湖北工业大学机械工程学院,湖北武汉430068
出 处:《可再生能源》2023年第6期773-779,共7页Renewable Energy Resources
基 金:国家自然科学基金项目(51975190);湖北工业大学绿色工业科技引领计划项目(XJKY2022016)。
摘 要:针对大型风力机受来流风切变影响,风速差最大达到30%的问题,文章以2D_K Jensen尾流模型为基础,提出了一种改进的三维尾流模型。该模型基于质量守恒理论,通过综合考虑入流的风切变效应、尾流区域的湍流强度分布和各异性的尾流扩展率等因素,修正垂直剖面尾流速度的非对称分布,提高了尾流模型在近尾流区的预测精度。通过与风洞实验测试数据进行对比分析,发现文章提出的修正模型在近尾流区与风洞测试数据吻合较好。该模型能够较好地预测单个风力机尾流区域的速度分布,且无需数值模拟确定经验参数,可用于风电场的微观选址和发电量评估。Aiming at the problem that large wind turbines are greatly affected by inflow wind shear and the maximum wind speed difference can reach 30%,this paper proposed an improved three-dimensional wake model based on 2D_K Jensen wake model.Based on the mass conservation theory,the model modifies the asymmetric distribution of wake velocity in the vertical section and improves the prediction accuracy of the wake model near the wake region by comprehensively considering the wind shear effect,the turbulence intensity distribution in the wake region and the anisotropic wake expansion rate.Compared with the wind tunnel test data,the modified model proposed in this paper agrees better with the wind tunnel test data in the near wake region.This model can better predict the velocity distribution in the wake area of single wind turbines,and there is no need to determine the empirical parameters by numerical simulation.It can be used for the micro site selection and power generation evaluation of wind farms.
分 类 号:TK81[动力工程及工程热物理—流体机械及工程]
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