{"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, 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.