A Study about solar tracker for the performance of photovoltaic plants

Manuella R. M. F. Barros e Silva, Kaique R. A. Albuquerque, José V. S. de Araújo, J. M. M. Villanueva, Flávio S. V. Gomes, E. C. T. de Macedo, Ygor B. Alves, Sidnéia L. Cavalcante
{"title":"A Study about solar tracker for the performance of photovoltaic plants","authors":"Manuella R. M. F. Barros e Silva, Kaique R. A. Albuquerque, José V. S. de Araújo, J. M. M. Villanueva, Flávio S. V. Gomes, E. C. T. de Macedo, Ygor B. Alves, Sidnéia L. Cavalcante","doi":"10.1109/INSCIT55544.2022.9913749","DOIUrl":null,"url":null,"abstract":"Solar energy represents 2.6% of the electricity matrix in Brazil, according to 2022 data from Operador Nacional do Sistema Elétrico (ONS), a significant increase compared to 2020, when the representation was 2.0%. In addition to the desire to expand this sector, it is necessary to seek different ways to improve generation performance, such as, for example, the search for techniques that enhance energy generation through panels. This article aims to present a simulation study on the characteristics and productivity comparisons between mono and two-face photovoltaic panels, as well as comparisons on the generation of horizontal modules or with the use of trackers, with the Study and Analysis of an Automatic Control System of Trackers - analysis of the functioning of a conventional tracking system to observe functional aspects of interest.The study was carried out using data available in the National Renewable Energy Laboratory (NREL) database on climate information regarding the location of the roof of the CEAR (Center Alternative and Renewable Energies) laboratory located at the Federal University of Paraíba in the city of João Pessoa. The state of Paraíba was chosen because the simulations were carried out to predict the performance of the system that will be assembled in the city of João Pessoa.","PeriodicalId":348937,"journal":{"name":"2022 6th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INSCIT55544.2022.9913749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Solar energy represents 2.6% of the electricity matrix in Brazil, according to 2022 data from Operador Nacional do Sistema Elétrico (ONS), a significant increase compared to 2020, when the representation was 2.0%. In addition to the desire to expand this sector, it is necessary to seek different ways to improve generation performance, such as, for example, the search for techniques that enhance energy generation through panels. This article aims to present a simulation study on the characteristics and productivity comparisons between mono and two-face photovoltaic panels, as well as comparisons on the generation of horizontal modules or with the use of trackers, with the Study and Analysis of an Automatic Control System of Trackers - analysis of the functioning of a conventional tracking system to observe functional aspects of interest.The study was carried out using data available in the National Renewable Energy Laboratory (NREL) database on climate information regarding the location of the roof of the CEAR (Center Alternative and Renewable Energies) laboratory located at the Federal University of Paraíba in the city of João Pessoa. The state of Paraíba was chosen because the simulations were carried out to predict the performance of the system that will be assembled in the city of João Pessoa.
太阳能跟踪器对光伏电站性能的影响研究
根据巴西国家系统公司(ONS) 2022年的数据,太阳能占巴西电力矩阵的2.6%,与2020年的2.0%相比有显著增长。除了扩大这一领域的愿望外,有必要寻求不同的方法来改善发电性能,例如,寻找通过太阳能板提高发电能力的技术。本文旨在对单面和双面光伏板的特性和生产率比较进行模拟研究,以及对水平模块的生成或与跟踪器的使用进行比较,以及跟踪器自动控制系统的研究和分析-分析传统跟踪系统的功能,以观察感兴趣的功能方面。这项研究是利用国家可再生能源实验室(NREL)数据库中关于可替代和可再生能源中心(CEAR)实验室屋顶位置的气候信息数据进行的,该实验室位于jo o Pessoa市的Paraíba联邦大学。之所以选择Paraíba状态,是因为进行模拟是为了预测将在jo o Pessoa市组装的系统的性能。
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