基于各项异性多项式分布的风力机三维尾流模型
A three-dimensional wake model for wind turbines based on the polynomial distribution of each anisotropy
凌子焱 1赵振宙 1刘惠文 1马远卓 1刘一格 1王丁丁1
作者信息
- 1. 河海大学 能源与电气学院,江苏 南京 211100
- 折叠
摘要
针对风切变效应及风切变与均匀流的风速差产生的质量亏损,本文提出了一种更先进的三维尾流模型,不同于以往高斯模型,该模型假设速度分布为多项式形状,采用了更加直观的物理尾流边界.此外,考虑到尾流边界的各向异性膨胀,给出了横向和垂向尾流边界扩展率的表达式,这使得该模型仅根据入流风条件及风力机参数即可确定 2 个方向上的扩展率.通过陆上(I0=13.4%,9.4%)和海上(I0 =6.9%,4.8%)风况的大涡模拟数据对本文模型的预测精度进行验证研究.与传统模型相比,本文模型能够更好地预测风力机的垂向和横向的尾流分布,最大和最小误差均最小.
Abstract
A highly accurate wake model is of great significance for wind farm layout optimization and power genera-tion prediction.This paper proposes a more advanced three-dimensional wake model by fully considering the wind shear effect and the mass loss generated by the wind speed difference between wind shear and uniform flow.Unlike the previous Gaussian models,the proposed model assumes that the velocity distribution is polynomial in shape and adopts a more intuitive physical wake boundary.Additionally,considering the anisotropic expansion of the wake boundary,expressions for the expansion rates of the lateral and vertical wake boundaries are given,which allows the model to determine the expansion rates in both directions based only on the incoming wind conditions and wind turbine parameters.The prediction accuracy of the proposed model was verified using large eddy simulation data for onshore(I0=13.4%,9.4%)and offshore(I0 =6.9%,4.8%)wind conditions.The results show that the pro-posed model can better predict the vertical and lateral wake distribution of wind turbines with the smallest maximum and minimum errors than conventional models.
关键词
风电/风电场/风力机/解析模型/风速/高斯分布/大涡模拟/湍流Key words
wind power/wind farm/wind turbine/analytical model/wind speed/gaussian distribution/large eddy simulation/turbulence引用本文复制引用
基金项目
国家自然科学基金(52376179)
国家自然科学基金(51876054)
国家自然科学基金(11502070)
江苏省研究生实践创新计划(SJCX23_0183)
出版年
2024
国家科技期刊平台
NSTL
万方数据