利比亚月日照量的研究

A. Guwaeder, R. Ramakumar
{"title":"利比亚月日照量的研究","authors":"A. Guwaeder, R. Ramakumar","doi":"10.1109/SUSTECH.2017.8333476","DOIUrl":null,"url":null,"abstract":"Recent significant downtrend in the cost of photovoltaic (PV) modules at an average rate of 20% with each doubling of sales has accelerated their deployment around the world on a large scale. This paper presents a brief study of some of the potential impacts of the entry of grid-connected PV on the Libyan power system. Further, it also presents the observed radiations at four locations in Libya to analyze the statistical solar radiation data provided from the Solar Electricity Hand Book 2017 Edition. The solar radiation data set is analyzed using Weibull, Normal, Rayleigh and Gamma distribution. An effort has been made to find out the most suitable distribution for solar radiation data, based on two goodness of fit tests, namely Chi-Squared test and Kolmogorov-Smirnov test. Root mean square error also used to determine the error. From analysis, it is concluded that Weibull and Normal distribution give the best fit for observed solar radiation.","PeriodicalId":231217,"journal":{"name":"2017 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A study of the monthly insolation in Libya\",\"authors\":\"A. Guwaeder, R. Ramakumar\",\"doi\":\"10.1109/SUSTECH.2017.8333476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent significant downtrend in the cost of photovoltaic (PV) modules at an average rate of 20% with each doubling of sales has accelerated their deployment around the world on a large scale. This paper presents a brief study of some of the potential impacts of the entry of grid-connected PV on the Libyan power system. Further, it also presents the observed radiations at four locations in Libya to analyze the statistical solar radiation data provided from the Solar Electricity Hand Book 2017 Edition. The solar radiation data set is analyzed using Weibull, Normal, Rayleigh and Gamma distribution. An effort has been made to find out the most suitable distribution for solar radiation data, based on two goodness of fit tests, namely Chi-Squared test and Kolmogorov-Smirnov test. Root mean square error also used to determine the error. From analysis, it is concluded that Weibull and Normal distribution give the best fit for observed solar radiation.\",\"PeriodicalId\":231217,\"journal\":{\"name\":\"2017 IEEE Conference on Technologies for Sustainability (SusTech)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Conference on Technologies for Sustainability (SusTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SUSTECH.2017.8333476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Technologies for Sustainability (SusTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUSTECH.2017.8333476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

最近,光伏(PV)组件的成本以平均20%的速度大幅下降,销售额每翻一番,这加速了它们在全球范围内的大规模部署。本文简要研究了光伏并网对利比亚电力系统的一些潜在影响。此外,它还展示了利比亚四个地点的观测辐射,以分析太阳能电力手册2017版提供的统计太阳辐射数据。利用威布尔分布、正态分布、瑞利分布和伽马分布对太阳辐射数据集进行了分析。利用两种拟合优度检验,即Chi-Squared检验和Kolmogorov-Smirnov检验,试图找出太阳辐射数据最合适的分布。也用均方根误差来确定误差。通过分析,得出威布尔分布和正态分布最适合观测到的太阳辐射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of the monthly insolation in Libya
Recent significant downtrend in the cost of photovoltaic (PV) modules at an average rate of 20% with each doubling of sales has accelerated their deployment around the world on a large scale. This paper presents a brief study of some of the potential impacts of the entry of grid-connected PV on the Libyan power system. Further, it also presents the observed radiations at four locations in Libya to analyze the statistical solar radiation data provided from the Solar Electricity Hand Book 2017 Edition. The solar radiation data set is analyzed using Weibull, Normal, Rayleigh and Gamma distribution. An effort has been made to find out the most suitable distribution for solar radiation data, based on two goodness of fit tests, namely Chi-Squared test and Kolmogorov-Smirnov test. Root mean square error also used to determine the error. From analysis, it is concluded that Weibull and Normal distribution give the best fit for observed solar radiation.
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:481959085
Book学术官方微信