Comparative Analysis of Transposition Models Applied to Photovoltaic Systems Using Meteonorm and NASA SSE Databases

Michelle Kitayama da Silva, D. I. Narváez, K. B. de Melo, M. G. Villalva
{"title":"Comparative Analysis of Transposition Models Applied to Photovoltaic Systems Using Meteonorm and NASA SSE Databases","authors":"Michelle Kitayama da Silva, D. I. Narváez, K. B. de Melo, M. G. Villalva","doi":"10.1109/INDUSCON.2018.8627354","DOIUrl":null,"url":null,"abstract":"Global environment concerns and increasing energy demand are expanding interests in renewable energy sources such as photovoltaic systems. An optimized application of these systems requires the use of accurate climatic and irradiation data. Most of the available data sources provide irradiation values only on the horizontal plane. These data must be converted to a tilted plane in order to estimate a more accurate value of the energy produced. To process that conversion there are many mathematical models available in the literature, such as Perez’s model and Hay’s model. The impact of these methods on the energy generated is compared in this study, also the accuracy of the Meteonorm 7.1 and NASA SSE databases is investigated for the location of the Tanquinho Power Plant in Campinas, Brazil. As a result of the analysis, the Meteonorm database presented more accurate solarimetric data for the considered location. Also, the Perez’s method had an absolute error of 9.97% while Hay’s method showed an error of 10.11%. As a conclusion, the NASA database is indicated to be used to estimate the energy generated by photovoltaic systems installed in the studied area. Additionally, to obtain a more accurate irradiation data on the tilted plane, the Perez’s method is more precise.","PeriodicalId":156866,"journal":{"name":"2018 13th IEEE International Conference on Industry Applications (INDUSCON)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th IEEE International Conference on Industry Applications (INDUSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDUSCON.2018.8627354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Global environment concerns and increasing energy demand are expanding interests in renewable energy sources such as photovoltaic systems. An optimized application of these systems requires the use of accurate climatic and irradiation data. Most of the available data sources provide irradiation values only on the horizontal plane. These data must be converted to a tilted plane in order to estimate a more accurate value of the energy produced. To process that conversion there are many mathematical models available in the literature, such as Perez’s model and Hay’s model. The impact of these methods on the energy generated is compared in this study, also the accuracy of the Meteonorm 7.1 and NASA SSE databases is investigated for the location of the Tanquinho Power Plant in Campinas, Brazil. As a result of the analysis, the Meteonorm database presented more accurate solarimetric data for the considered location. Also, the Perez’s method had an absolute error of 9.97% while Hay’s method showed an error of 10.11%. As a conclusion, the NASA database is indicated to be used to estimate the energy generated by photovoltaic systems installed in the studied area. Additionally, to obtain a more accurate irradiation data on the tilted plane, the Perez’s method is more precise.
基于Meteonorm和NASA SSE数据库的光伏系统转置模型比较分析
全球环境问题和日益增长的能源需求扩大了人们对诸如光电系统等可再生能源的兴趣。这些系统的优化应用需要使用准确的气候和辐照数据。大多数可用的数据来源只提供水平面上的辐照值。这些数据必须转换成一个倾斜的平面,以便更准确地估计产生的能量值。为了处理这种转换,文献中有许多可用的数学模型,例如Perez的模型和Hay的模型。在本研究中,比较了这些方法对产生的能量的影响,并调查了Meteonorm 7.1和NASA SSE数据库对巴西坎皮纳斯Tanquinho发电厂位置的准确性。分析的结果是,Meteonorm数据库为考虑的位置提供了更准确的太阳测量数据。Perez方法的绝对误差为9.97%,Hay方法的绝对误差为10.11%。作为结论,建议使用NASA数据库来估计安装在研究区域的光伏系统产生的能量。此外,为了在倾斜平面上获得更精确的辐照数据,Perez的方法更加精确。
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 求助全文
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