3D Numerical Simulation of Wind Turbines and Fractal Dimension Analysis

J. Tellez-Álvarez, S. Strijhak, R. Kharchi, A. Kryuchkova, J. Redondo
{"title":"3D Numerical Simulation of Wind Turbines and Fractal Dimension Analysis","authors":"J. Tellez-Álvarez, S. Strijhak, R. Kharchi, A. Kryuchkova, J. Redondo","doi":"10.1109/ICWEAA.2018.8605052","DOIUrl":null,"url":null,"abstract":"Wind energy is an important part of renewable energy sources in many countries. In the last decades, the flow simulation for wind turbines have been studied more because it is a very good alternative for producing energy. The community of researches is normally focused on studying behavior and performance of wind farms, spectral contents of the power fluctuations, different methods of quantifying effects of turbulence-generated loads on wind turbine blade, influence of atmospheric turbulence on the fatigue loads. This paper is focused on turbulent flow modeling for 2 and 12 wind model turbines using Large-eddy simulation and Lagrangian-averaged scale-independent dynamic Smagorinsky model. Analyses of vortex behavior along turbine wake and analyses of normalized horizontal velocity profiles behind the wind turbine, as well as fractal dimension calculation for turbulent wake were performed using ImaCalc program. Normalized horizontal velocity profiles were compared with experimental results obtained in wind tunnel in well-known Blind Test. A satisfactory agreement was obtained.","PeriodicalId":110091,"journal":{"name":"2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWEAA.2018.8605052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Wind energy is an important part of renewable energy sources in many countries. In the last decades, the flow simulation for wind turbines have been studied more because it is a very good alternative for producing energy. The community of researches is normally focused on studying behavior and performance of wind farms, spectral contents of the power fluctuations, different methods of quantifying effects of turbulence-generated loads on wind turbine blade, influence of atmospheric turbulence on the fatigue loads. This paper is focused on turbulent flow modeling for 2 and 12 wind model turbines using Large-eddy simulation and Lagrangian-averaged scale-independent dynamic Smagorinsky model. Analyses of vortex behavior along turbine wake and analyses of normalized horizontal velocity profiles behind the wind turbine, as well as fractal dimension calculation for turbulent wake were performed using ImaCalc program. Normalized horizontal velocity profiles were compared with experimental results obtained in wind tunnel in well-known Blind Test. A satisfactory agreement was obtained.
风力机三维数值模拟及分形维数分析
风能在许多国家都是可再生能源的重要组成部分。由于风力发电是一种很好的发电方式,其流动模拟在近几十年来得到了越来越多的研究。研究领域通常集中在研究风电场的行为和性能、功率波动的频谱内容、湍流产生的载荷对风力机叶片影响的不同量化方法、大气湍流对疲劳载荷的影响等方面。本文采用大涡模拟和拉格朗日平均尺度无关动态Smagorinsky模型对2型和12型风力机进行了紊流模拟。利用ImaCalc程序对涡轮尾迹进行了涡动特性分析和归一化水平速度分布分析,并对湍流尾迹进行了分形维数计算。将风洞盲测中得到的归一化水平速度曲线进行了比较。达成了令人满意的协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信