Modeling Bivariate Distribution of Wind Speed and Wind Shear for Height-Dependent Offshore Wind Energy Assessment  

作　　者：YANG Zihao DONG Sheng 

机构地区：[1]College of Engineering,Ocean University of China,Qingdao 266404,China

出　　处：《Journal of Ocean University of China》2025年第1期40-62,共23页中国海洋大学学报(英文版)

基　　金：supported by the Key R&D Program of Shandong Province,China(No.2021ZLGX04);the National Natural Science Foundation of China(No.52171284)。

摘　　要：A joint statistical model of wind speed and wind shear is critical for height-dependent wind resource characteristic analysis.However,given the different atmospheric conditions that may be involved,the statistical distribution of the two variables may show multimodal characteristics.In this work,a finite mixture bivariate statistical model was designed to describe the statistical properties,which is composed of several components,each with a Weibull distribution and a normal distribution for wind speed and wind shear,respectively,with a Gaussian copula to describe the dependency structure between the two variables.To confirm the developed model,reanalysis data from six positions in the coastal sea areas of China were used.Our results disclosed that the developed joint statistical model can accurately capture the different multimodal structures presented in all the bivariate samples under mixed atmospheric conditions,giving acceptable predictions of the joint probability distributions.Proper consideration of wind shear coefficient variation is crucial in estimating height-dependent wind resource characteristics.Importantly,unlike traditional methods that are limited to specific hub heights,the model developed here can estimate wind energy potential across different hub heights,enhancing the economic viability assessment of wind power projects.

关 键 词：wind shear coefficient wind speed mixed atmospheric conditions mixture bivariate statistical model height-dependent wind resource characteristics 

分 类 号：P752[天文地球—海洋科学] TK81[动力工程及工程热物理—流体机械及工程]