A meteorological data set and wind power density from selective locations of Tamil Nadu, India: Implication for installation of wind turbines

R. Bharani, A. Sivaprakasam
{"title":"A meteorological data set and wind power density from selective locations of Tamil Nadu, India: Implication for installation of wind turbines","authors":"R. Bharani,&nbsp;A. Sivaprakasam","doi":"10.1016/j.totert.2022.100017","DOIUrl":null,"url":null,"abstract":"<div><p>The present work was carried out to understand the wind energy potential in the selected location of Tamil Nadu State, India to estimate the wind energy statistical data for power generation. The meteorology parameters and frequency distribution data were used to interpret the wind energy characteristics at monitoring locations. The wind energy potential data were collected at 100 m height from MSL (Mean Sea Level) in 2016. The wind power density was analyzed using the Weibull distribution expression. Based on observed data, site 1, 2, and 3 was suitable for recommending wind energy exploitation. The Indian wind power density classification suggests that nearly 35 % of the annual mean wind velocity falls under class 7. Further, the above results also suggest that station S1 and S3 followed by S2 is suitable for installing wind turbines.</p></div>","PeriodicalId":101255,"journal":{"name":"Total Environment Research Themes","volume":"3 ","pages":"Article 100017"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277280992200017X/pdfft?md5=fa1b0aeb2b45d3ee15bb33c0955c5515&pid=1-s2.0-S277280992200017X-main.pdf","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Total Environment Research Themes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277280992200017X","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

The present work was carried out to understand the wind energy potential in the selected location of Tamil Nadu State, India to estimate the wind energy statistical data for power generation. The meteorology parameters and frequency distribution data were used to interpret the wind energy characteristics at monitoring locations. The wind energy potential data were collected at 100 m height from MSL (Mean Sea Level) in 2016. The wind power density was analyzed using the Weibull distribution expression. Based on observed data, site 1, 2, and 3 was suitable for recommending wind energy exploitation. The Indian wind power density classification suggests that nearly 35 % of the annual mean wind velocity falls under class 7. Further, the above results also suggest that station S1 and S3 followed by S2 is suitable for installing wind turbines.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
来自印度泰米尔纳德邦选定地点的气象数据集和风力密度:对安装风力涡轮机的启示
本研究旨在了解印度泰米尔纳德邦选定地点的风能潜力,以估计风能发电的统计数据。利用气象参数和频率分布资料解释了监测点的风能特征。2016年的风能潜力数据采集自平均海平面(MSL) 100 m高度。采用威布尔分布表达式对风力密度进行分析。根据观测数据,站点1、站点2、站点3适合推荐风能利用。印度的风力密度分类表明,年平均风速的近35%属于7级。此外,上述结果还表明,站S1和S3后S2适合安装风力发电机。
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 去求助
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
期刊最新文献
Development and comparison of adaptive data-driven models for thermal comfort assessment and control Shades & shines of gender equality with respect to sustainable development goals (SDGs): The environmental performance perspectives The functional relationship between aquatic insects and cyanobacteria: A systematic literature review reveals major knowledge gaps Climate change and rivers: The promise offered by infrastructure Impacts of climate change induced drought and adaptation strategies in wine-growing in the Rhine Valley (France, Germany, Switzerland)
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1