Prediction of the degradation process of mono-Si photovoltaic panels in Ukrainian and Czech conditions

M. Bělík, Jan Tímr, O. Rubanenko
{"title":"Prediction of the degradation process of mono-Si photovoltaic panels in Ukrainian and Czech conditions","authors":"M. Bělík, Jan Tímr, O. Rubanenko","doi":"10.1109/EPE58302.2023.10149312","DOIUrl":null,"url":null,"abstract":"This paper focuses on project studying the influence of various technical, meteorological, and specific local factors influencing power generation from photovoltaic plant. This problem is analysed on model PV plants installed in Ukraine and Czech Republic.The Fault tree analysis (FTA) method is applied on photovoltaic power plant damage tree. The most significant technical problems of PV modules and entire photovoltaic plants are identified and discussed. Also mathematical method computing coefficient of the total residual resource of the plant and to calculate predicted energy generation of the plant taking into account general degradation is discussed. Indicator coefficients describing abnormal PV modules operation are described. Structural diagram of the model of the coefficient of the residual resource of the PV module was developedBasic data originate from measurements on monocrystalline Si PV panels installed in commercial plants commissioned in Ukraine and the Czech Republic. Data show important differences in behavior and operational conditions. It is evident that prediction the of technical condition of the plant, degradation of PV modules and actual electricity generation strongly depends on local conditions. Ignoring the gradual reduction of capacity leads to ertrors in assessment of the total energy efficiency, profitability, payback time and necessary power reserve to compensate the unstable RES generation.","PeriodicalId":210548,"journal":{"name":"2023 23rd International Scientific Conference on Electric Power Engineering (EPE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 23rd International Scientific Conference on Electric Power Engineering (EPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPE58302.2023.10149312","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

This paper focuses on project studying the influence of various technical, meteorological, and specific local factors influencing power generation from photovoltaic plant. This problem is analysed on model PV plants installed in Ukraine and Czech Republic.The Fault tree analysis (FTA) method is applied on photovoltaic power plant damage tree. The most significant technical problems of PV modules and entire photovoltaic plants are identified and discussed. Also mathematical method computing coefficient of the total residual resource of the plant and to calculate predicted energy generation of the plant taking into account general degradation is discussed. Indicator coefficients describing abnormal PV modules operation are described. Structural diagram of the model of the coefficient of the residual resource of the PV module was developedBasic data originate from measurements on monocrystalline Si PV panels installed in commercial plants commissioned in Ukraine and the Czech Republic. Data show important differences in behavior and operational conditions. It is evident that prediction the of technical condition of the plant, degradation of PV modules and actual electricity generation strongly depends on local conditions. Ignoring the gradual reduction of capacity leads to ertrors in assessment of the total energy efficiency, profitability, payback time and necessary power reserve to compensate the unstable RES generation.
乌克兰和捷克条件下单晶硅光伏板降解过程的预测
本文以项目研究为重点,研究了各种技术因素、气象因素和当地特定因素对光伏电站发电的影响。对乌克兰和捷克的光伏电站模型进行了分析。将故障树分析方法应用于光伏电站的故障树分析。确定并讨论了光伏组件和整个光伏电站最重要的技术问题。讨论了考虑一般退化的植物总剩余资源系数的计算方法和植物预测发电量的计算方法。描述了光伏组件异常运行的指标系数。开发了光伏组件剩余资源系数模型的结构图。基本数据来自对安装在乌克兰和捷克共和国委托的商业工厂的单晶硅光伏板的测量。数据显示了在行为和操作条件上的重要差异。很明显,电站技术状况的预测、光伏组件的退化和实际发电量的预测在很大程度上取决于当地的条件。忽略容量的逐渐减少会导致在评估总能源效率、盈利能力、投资回收期和补偿不稳定可再生能源发电所需的电力储备时出现错误。
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:604180095
Book学术官方微信