Blind PV temperature model calibration

IF 1.9 Q3 PHYSICS, APPLIED
Anastasios Kladas, Bert Herteleer, Jan Cappelle
{"title":"Blind PV temperature model calibration","authors":"Anastasios Kladas, Bert Herteleer, Jan Cappelle","doi":"10.1051/epjpv/2023021","DOIUrl":null,"url":null,"abstract":"The determination of module temperature in a photovoltaic (PV) system is a crucial factor in PV modelling and the assessment of system health status. However, the scarcity of on-site temperature measurements poses a challenge, and existing PV temperature models encounter difficulties in accurately estimating temperatures in systems characterized by unique structural or locational attributes. This paper introduces a novel approach that enables the calibration of PV temperature models without relying on direct temperature measurements. Referred to as blind calibration, this method eliminates the requirement for temperature measurements, thus offering a promising solution to the aforementioned challenges. The method is validated using three datasets, demonstrating accurate PV temperature ( T PV ) estimation with mean absolute errors below 2 °C. The findings highlight the suitability of the proposed approach for various PV system types, while acknowledging limitations regarding certain system configurations.","PeriodicalId":42768,"journal":{"name":"EPJ Photovoltaics","volume":"101 1","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPJ Photovoltaics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/epjpv/2023021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

The determination of module temperature in a photovoltaic (PV) system is a crucial factor in PV modelling and the assessment of system health status. However, the scarcity of on-site temperature measurements poses a challenge, and existing PV temperature models encounter difficulties in accurately estimating temperatures in systems characterized by unique structural or locational attributes. This paper introduces a novel approach that enables the calibration of PV temperature models without relying on direct temperature measurements. Referred to as blind calibration, this method eliminates the requirement for temperature measurements, thus offering a promising solution to the aforementioned challenges. The method is validated using three datasets, demonstrating accurate PV temperature ( T PV ) estimation with mean absolute errors below 2 °C. The findings highlight the suitability of the proposed approach for various PV system types, while acknowledging limitations regarding certain system configurations.
PV温度模型盲校正
光伏系统中组件温度的确定是光伏系统建模和系统健康状态评估的关键因素。然而,由于缺乏现场温度测量,现有PV温度模型难以准确估计具有独特结构或位置属性的系统的温度。本文介绍了一种新的方法,使PV温度模型的校准不依赖于直接的温度测量。这种方法被称为盲校准,它消除了对温度测量的要求,从而为上述挑战提供了一个有希望的解决方案。使用三个数据集验证了该方法,证明了准确的PV温度(T PV)估计,平均绝对误差低于2°C。研究结果强调了所提出的方法对各种光伏系统类型的适用性,同时承认某些系统配置的局限性。
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
EPJ Photovoltaics
EPJ Photovoltaics PHYSICS, APPLIED-
CiteScore
2.30
自引率
4.00%
发文量
15
审稿时长
8 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