纳米比亚沿海和南部潜在风能站点的统计评估

Edwin Tareka, S. Chowdhury
{"title":"纳米比亚沿海和南部潜在风能站点的统计评估","authors":"Edwin Tareka, S. Chowdhury","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9040966","DOIUrl":null,"url":null,"abstract":"This paper presents an outlined detail on wind resource assessment for the potential of onshore wind energy in Namibia. Wind speed data collected from Namibia Energy Institute (NEI) measured from five masts located in the coastal and southern areas of the country were analyzed using statistical methods incorporated in MATLAB and Microsoft Excel. The statistical data analysis involved carrying out wind energy and power estimation, performing wind speed interpolation (60m-200m) and plot wind speed on an annual, monthly and seasonal basis. The analysis also involved performing statistical data fitting by Weibull distribution using various Weibull methods, plotting of wind rose diagrams and finally, carrying out capacity factor calculations. Comparison of all sites under study were done based on the analysis and the suitable location with good energy yield was recommended. Wind turbine generator power curve of enough capacity was used to assess the predicted operation under the wind climatic condition determined from data analysis for all studied sites.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical Assessment of Potential Wind Energy Sites in Coastal and Southern Part of Namibia\",\"authors\":\"Edwin Tareka, S. Chowdhury\",\"doi\":\"10.1109/SAUPEC/RobMech/PRASA48453.2020.9040966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an outlined detail on wind resource assessment for the potential of onshore wind energy in Namibia. Wind speed data collected from Namibia Energy Institute (NEI) measured from five masts located in the coastal and southern areas of the country were analyzed using statistical methods incorporated in MATLAB and Microsoft Excel. The statistical data analysis involved carrying out wind energy and power estimation, performing wind speed interpolation (60m-200m) and plot wind speed on an annual, monthly and seasonal basis. The analysis also involved performing statistical data fitting by Weibull distribution using various Weibull methods, plotting of wind rose diagrams and finally, carrying out capacity factor calculations. Comparison of all sites under study were done based on the analysis and the suitable location with good energy yield was recommended. Wind turbine generator power curve of enough capacity was used to assess the predicted operation under the wind climatic condition determined from data analysis for all studied sites.\",\"PeriodicalId\":215514,\"journal\":{\"name\":\"2020 International SAUPEC/RobMech/PRASA Conference\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International SAUPEC/RobMech/PRASA Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9040966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International SAUPEC/RobMech/PRASA Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9040966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文概述了纳米比亚陆上风能潜力的风能资源评估细节。从纳米比亚能源研究所(NEI)收集的风速数据从位于该国沿海和南部地区的五个桅杆上测量,使用MATLAB和Microsoft Excel结合的统计方法进行分析。统计数据分析包括估算风能和功率,进行风速插值(60m-200m),绘制年、月、季风速图。分析还包括使用各种威布尔方法对威布尔分布进行统计数据拟合,绘制风玫瑰图,最后进行容量因子计算。在分析的基础上,对所有研究地点进行了比较,并推荐了具有良好发电量的合适地点。采用足够容量的风力发电机功率曲线,对各研究站点在数据分析确定的风气候条件下的预测运行情况进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Assessment of Potential Wind Energy Sites in Coastal and Southern Part of Namibia
This paper presents an outlined detail on wind resource assessment for the potential of onshore wind energy in Namibia. Wind speed data collected from Namibia Energy Institute (NEI) measured from five masts located in the coastal and southern areas of the country were analyzed using statistical methods incorporated in MATLAB and Microsoft Excel. The statistical data analysis involved carrying out wind energy and power estimation, performing wind speed interpolation (60m-200m) and plot wind speed on an annual, monthly and seasonal basis. The analysis also involved performing statistical data fitting by Weibull distribution using various Weibull methods, plotting of wind rose diagrams and finally, carrying out capacity factor calculations. Comparison of all sites under study were done based on the analysis and the suitable location with good energy yield was recommended. Wind turbine generator power curve of enough capacity was used to assess the predicted operation under the wind climatic condition determined from data analysis for all studied sites.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信