| 一种新修正的风电机组尾流分析模型 |
| |
| 引用本文： | 李雄威,徐家豪,李庚达,崔青汝,伍权. 一种新修正的风电机组尾流分析模型[J]. 太阳能学报, 2022, 43(8): 260-265. DOI: 10.19912/j.0254-0096.tynxb.2020-1279 |
| |
| 作者姓名： | 李雄威 徐家豪 李庚达 崔青汝 伍权 |
| |
| 作者单位： | 国家能源集团新能源技术研究院有限公司,北京 102209 |
| |
| 基金项目： | 电力系统国家重点实验室资助课题（SKLD20KM25）; 国家能源集团科技创新项目（GJNY-19-87; GJNY-20-125） |
| |
| 摘 要： | 基于尾流区线性膨胀、径向风速损失呈高斯分布的假设,在BP模型基础上建立一种新修正的风电机组尾流分析模型。该模型针对BP模型无法对近尾流区进行分析的问题,基于质量守恒原理求解近尾流区速度损失分布;通过大涡模拟数据拟合,对BP模型中速度损失标准差方程进行修正,提升了模型在不同地表粗糙度下的计算精度。采用大涡模拟数据对多种工程尾流模型的计算结果进行比较。结果表明,相比于Jensen、Frandsen和BP模型,该模型能更好地预测全尾流范围的径向速度分布,并且具有更高的计算精度。
|
| 关 键 词： | 风电机组 分析模型 高斯分布 尾流模型 速度损失 |
| 收稿时间： | 2020-11-27 |
A NEW MODIFIED ANALYTICAL MODEL FOR WIND-TURBINE WAKES |
| |
| Li Xiongwei,Xu Jiahao,Li Gengda,Cui Qingru,Wu Quan. A NEW MODIFIED ANALYTICAL MODEL FOR WIND-TURBINE WAKES[J]. Acta Energiae Solaris Sinica, 2022, 43(8): 260-265. DOI: 10.19912/j.0254-0096.tynxb.2020-1279 |
| |
| Authors: | Li Xiongwei Xu Jiahao Li Gengda Cui Qingru Wu Quan |
| |
| Affiliation: | China Energy New Energy Technology Research Institute, Beijing 102209, China |
| |
| Abstract: | Based on the BP model, a new modified analytical model is proposed to predict the wind velocity distribution of the wind turbine wake. The model is derived by assuming a linear expansion for the wake region and a Gaussian distribution for the velocity deficit in the wake. Based on the conservation of mass, the velocity deficit distribution in the near-wake regions is calculated by using this proposed model, which cannot be solved by the BP model. The expression of the normalized standard deviation of the Gaussian-like velocity deficit profiles in the BP model is modified by extrapolating the large eddy simulation （LES） data of real-scale wind-turbine wakes, which improves the prediction accuracy of the wind velocity distribution of the wind turbine wake on flat surfaces with different aerodynamic roughness. The velocity deficit profiles in the wake predicted by the proposed model and other common analytical models are compared to the LES data. The results show that the velocity deficit in the wake predicted by this model is in good agreement with the LES data and is more accurate than that of the results calculated by the Jensen, Frandsen and BP models. |
| |
| Keywords: | wind turbines analytical models Gaussian distribution wake model velocity deficit |
|
| 点击此处可从《太阳能学报》浏览原始摘要信息 |
|
点击此处可从《太阳能学报》下载免费的PDF全文 |
|
