Z. Tahir, Ammara Kanwal, Muhammad Zeeshan Jamil, Imran Amin, Muhammad Abdullah, U. Saeed, Tariq Ali
{"title":"低风速地区商用风力涡轮机性能评估","authors":"Z. Tahir, Ammara Kanwal, Muhammad Zeeshan Jamil, Imran Amin, Muhammad Abdullah, U. Saeed, Tariq Ali","doi":"10.1177/0309524x241250057","DOIUrl":null,"url":null,"abstract":"Wind resource assessment of 12 sites in low-wind regions of Pakistan was conducted, focusing on wind data characteristics and wind speed distributions. A comparative performance evaluation of Power Law (PL) and Logarithmic Law (LogL) for interpolation (at 60 m) and extrapolation (at 80 m) of wind speed was performed. Performance analysis of over 500 commercial wind turbines was carried out in terms of Net Capacity Factor (NCF). The wind power density of all sites at 50 m, ranges from 33 to 244 W/m2, categorizing wind power class as either poor or marginal. The performance evaluation shows that PL and LogL perform better for interpolation and extrapolation respectively, at the same height. A turbine with cut-in and rated speed of 1.0 and 10 m/s respectively, achieves maximum NCF across all sites due to lowest cut-in speed. The NCF of the turbine for marginal wind power class sites ranged from 53% to 58%.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance assessment of commercial wind turbines for low wind speed regions\",\"authors\":\"Z. Tahir, Ammara Kanwal, Muhammad Zeeshan Jamil, Imran Amin, Muhammad Abdullah, U. Saeed, Tariq Ali\",\"doi\":\"10.1177/0309524x241250057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind resource assessment of 12 sites in low-wind regions of Pakistan was conducted, focusing on wind data characteristics and wind speed distributions. A comparative performance evaluation of Power Law (PL) and Logarithmic Law (LogL) for interpolation (at 60 m) and extrapolation (at 80 m) of wind speed was performed. Performance analysis of over 500 commercial wind turbines was carried out in terms of Net Capacity Factor (NCF). The wind power density of all sites at 50 m, ranges from 33 to 244 W/m2, categorizing wind power class as either poor or marginal. The performance evaluation shows that PL and LogL perform better for interpolation and extrapolation respectively, at the same height. A turbine with cut-in and rated speed of 1.0 and 10 m/s respectively, achieves maximum NCF across all sites due to lowest cut-in speed. The NCF of the turbine for marginal wind power class sites ranged from 53% to 58%.\",\"PeriodicalId\":51570,\"journal\":{\"name\":\"Wind Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wind Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0309524x241250057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wind Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0309524x241250057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Performance assessment of commercial wind turbines for low wind speed regions
Wind resource assessment of 12 sites in low-wind regions of Pakistan was conducted, focusing on wind data characteristics and wind speed distributions. A comparative performance evaluation of Power Law (PL) and Logarithmic Law (LogL) for interpolation (at 60 m) and extrapolation (at 80 m) of wind speed was performed. Performance analysis of over 500 commercial wind turbines was carried out in terms of Net Capacity Factor (NCF). The wind power density of all sites at 50 m, ranges from 33 to 244 W/m2, categorizing wind power class as either poor or marginal. The performance evaluation shows that PL and LogL perform better for interpolation and extrapolation respectively, at the same height. A turbine with cut-in and rated speed of 1.0 and 10 m/s respectively, achieves maximum NCF across all sites due to lowest cut-in speed. The NCF of the turbine for marginal wind power class sites ranged from 53% to 58%.
期刊介绍:
Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.