Joint Model of Wind Speed and Corresponding Direction Based on Wind Rose for Wind Energy Exploitation

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

作者机构：College of EngineeringOcean University of ChinaQingdao 266100China Huadian Heavy Industries Co.Ltd.Beijing 100070China 

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

年 卷 期：2022年第21卷第4期

页      面：876-892页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 0707[理学-海洋科学] 

基　　金：The study was supported by the National Key Research and Development Program of China(No.2016YFC0303401) the National Natural Science Foundation of China(No.51779236) the National Natural Science Foundation of China-Shandong Joint Fund(No.U1706226). 

主　　题：angular-linear distribution wind speed wind direction wind rose wind energy Monte Carlo simulation 

摘      要：As a common and extensive datum to analyze wind,wind rose is one of the most important components of the meteorological elements.In this study,a model is proposed to establish the joint probability distribution of wind speed and direction using grouped data of wind rose.On the basis of the model,an algorithm is presented to generate pseudorandom numbers of wind speed and paired direction data.Afterward,the proposed model and algorithm are applied to two weather stations located in the Liaodong Gulf.With the models built for the two cases,a novel graph representing the continuous joint probability distribution of wind speed and direction is plotted,showing a strong correlation to the corresponding wind rose.Moreover,the joint probability distributions are utilized to evaluate wind energy potential successfully.In cooperation with Monte Carlo simulation,the model can approximately predict annual directional extreme wind speed under different return periods under the condition that the wind rose can represent the meteorological characters of the wind field well.The model is beneficial to design and install wind turbines.