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

作     者：YANG Zihao DONG Sheng YANG Zihao;DONG Sheng

作者机构：College of EngineeringOcean University of ChinaQingdao 266404China 

出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报(英文版))

年 卷 期：2025年第24卷第1期

页      面：40-62页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

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

主　　题：wind shear coefficient wind speed mixed atmospheric conditions mixture bivariate statistical model height-dependent wind resource characteristics 

摘      要：A joint statistical model of wind speed and wind shear is critical for height-dependent wind resource characteristic ***,given the different atmospheric conditions that may be involved,the statistical distribution of the two variables may show multimodal *** 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 *** confirm the developed model,reanalysis data from six positions in the coastal sea areas of China were *** 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 *** consideration of wind shear coefficient variation is crucial in estimating height-dependent wind resource ***,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.