Temporal Resolution of Input Weather Data Strongly Affects an Off-Grid PV System Layout and Reliability

IF 0.9 Q4 GEOCHEMISTRY & GEOPHYSICS
A. Klokov, E. Loktionov
{"title":"Temporal Resolution of Input Weather Data Strongly Affects an Off-Grid PV System Layout and Reliability","authors":"A. Klokov, E. Loktionov","doi":"10.3390/solar3010004","DOIUrl":null,"url":null,"abstract":"Renewable energy systems design using average year weather data is a standard approach that works well for grid-tied systems, but for stand-alone ones, it leads to dramatic mistakes. We considered the effect of meteorological data temporal resolution (5, 10, 15, 20, 30 min; 1, 2, 3, 4 h) on a stand-alone hybrid system’s layout in terms of equipment cost, power supply reliability and maximum duration of interruption for monitoring equipment in the Alps. We have shown that lifecycle costs could be strongly (order of magnitude) underestimated for off-grid systems, as well as their reliability overestimated. Lower temporal resolution data lead to the underestimation of energy storage charge–discharge cycles (considering depth of discharge too)—real batteries are to be replaced more often, which matches our practical experience as well. Even a 5 to 10 min decrease in weather data temporal resolution leads to the estimated annual expenses being halved. In general, we recommend using 30 min. resolution.","PeriodicalId":43869,"journal":{"name":"Solar-Terrestrial Physics","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar-Terrestrial Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/solar3010004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 6

Abstract

Renewable energy systems design using average year weather data is a standard approach that works well for grid-tied systems, but for stand-alone ones, it leads to dramatic mistakes. We considered the effect of meteorological data temporal resolution (5, 10, 15, 20, 30 min; 1, 2, 3, 4 h) on a stand-alone hybrid system’s layout in terms of equipment cost, power supply reliability and maximum duration of interruption for monitoring equipment in the Alps. We have shown that lifecycle costs could be strongly (order of magnitude) underestimated for off-grid systems, as well as their reliability overestimated. Lower temporal resolution data lead to the underestimation of energy storage charge–discharge cycles (considering depth of discharge too)—real batteries are to be replaced more often, which matches our practical experience as well. Even a 5 to 10 min decrease in weather data temporal resolution leads to the estimated annual expenses being halved. In general, we recommend using 30 min. resolution.
输入天气数据的时间分辨率强烈影响离网光伏系统的布局和可靠性
使用平均年天气数据设计可再生能源系统是一种标准方法,适用于并网系统,但对于独立的系统,它会导致严重的错误。我们考虑了气象资料时间分辨率(5、10、15、20、30分钟;1、2、3、4小时)对独立混合系统布局的影响,包括设备成本、供电可靠性和阿尔卑斯监测设备的最大中断时间。我们已经表明,离网系统的生命周期成本可能被严重低估(数量级),其可靠性也可能被高估。较低的时间分辨率数据导致储能充放电周期的低估(也考虑到放电深度)——真正的电池需要更频繁地更换,这也符合我们的实际经验。即使天气资料时间分辨率降低5至10分钟,估计的年费用也会减半。一般来说,我们建议使用30分钟分辨率。
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
Solar-Terrestrial Physics
Solar-Terrestrial Physics GEOCHEMISTRY & GEOPHYSICS-
CiteScore
1.50
自引率
9.10%
发文量
38
审稿时长
12 weeks
×
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