Spectral correction of photovoltaic module electrical properties

IF 9 1区 工程技术 Q1 ENERGY & FUELS Renewable Energy Pub Date : 2024-11-13 DOI:10.1016/j.renene.2024.121907
Wenhu Sang , Yuxin Ma , Senyuan Li , Peng Xue , Bojia Li , Jinqing Peng , Man Fan
{"title":"Spectral correction of photovoltaic module electrical properties","authors":"Wenhu Sang ,&nbsp;Yuxin Ma ,&nbsp;Senyuan Li ,&nbsp;Peng Xue ,&nbsp;Bojia Li ,&nbsp;Jinqing Peng ,&nbsp;Man Fan","doi":"10.1016/j.renene.2024.121907","DOIUrl":null,"url":null,"abstract":"<div><div>Except for irradiance and temperature, the distribution of solar spectrum also affects the electrical performance of photovoltaic (PV) modules. To explore the effect, this study conducted long-term experimental measurements on the wide range of full solar radiation spectrum with monocrystalline silicon (m-Si) and cadmium telluride (CdTe), and established new spectral correction function (SCF) under horizontal conditions based on the average photon energy (APE). It is verified with a good agreement R<sup>2</sup> of 0.95, and the maximum RMSE is only 0.017 %. Moreover, the application of the SCFs to building vertical façade has also been well verified, and the accuracy of electrical performance prediction can be improved by 14.51 % (m-Si) and 3.57 % (CdTe). In addition, this study combines the annual horizontal total solar radiation spectrum in Beijing and gives the annual spectral gain and loss (SGL) ratio of two PV panels. The power generation performance of the two PV modules under the actual spectrum will be underestimated for about 53.5 % and 99.7 % of the time in the whole year. This study broadens the dimension of evaluating the electrical performance parameters of PV panels and provides a basis and guidance for the accurate prediction and calculation of photovoltaic power generation.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"237 ","pages":"Article 121907"},"PeriodicalIF":9.0000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S096014812401975X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Except for irradiance and temperature, the distribution of solar spectrum also affects the electrical performance of photovoltaic (PV) modules. To explore the effect, this study conducted long-term experimental measurements on the wide range of full solar radiation spectrum with monocrystalline silicon (m-Si) and cadmium telluride (CdTe), and established new spectral correction function (SCF) under horizontal conditions based on the average photon energy (APE). It is verified with a good agreement R2 of 0.95, and the maximum RMSE is only 0.017 %. Moreover, the application of the SCFs to building vertical façade has also been well verified, and the accuracy of electrical performance prediction can be improved by 14.51 % (m-Si) and 3.57 % (CdTe). In addition, this study combines the annual horizontal total solar radiation spectrum in Beijing and gives the annual spectral gain and loss (SGL) ratio of two PV panels. The power generation performance of the two PV modules under the actual spectrum will be underestimated for about 53.5 % and 99.7 % of the time in the whole year. This study broadens the dimension of evaluating the electrical performance parameters of PV panels and provides a basis and guidance for the accurate prediction and calculation of photovoltaic power generation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
光伏组件电气性能的光谱校正
除辐照度和温度外,太阳光谱的分布也会影响光伏组件的电气性能。为了探究这一影响,本研究对单晶硅(m-Si)和碲化镉(CdTe)的全太阳辐射光谱范围进行了长期实验测量,并根据平均光子能量(APE)建立了水平条件下的新光谱校正函数(SCF)。经过验证,其 R2 为 0.95,具有良好的一致性,最大 RMSE 仅为 0.017%。此外,SCFs 在建筑垂直立面上的应用也得到了很好的验证,电性能预测的准确性提高了 14.51 %(间硅)和 3.57 %(碲化镉)。此外,本研究结合北京地区的年水平太阳辐射总谱,给出了两种光伏电池板的年光谱损益比。在实际光谱下,两种光伏组件全年约有 53.5% 和 99.7% 的时间发电性能会被低估。该研究拓宽了光伏电池板电气性能参数的评估维度,为准确预测和计算光伏发电量提供了依据和指导。
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 去求助
来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
期刊最新文献
Broadband efficient light-absorbing SS-PPy@CNT membranes prepared by electrochemical deposition for photothermal conversion Multi-objective optimization of geothermal heating systems based on thermal economy and environmental impact evaluation Dynamic response and power performance of a combined semi-submersible floating wind turbine and point absorber wave energy converter array Rural energy poverty alleviation in OECD nations: An integrated analysis of renewable energy, green taxation, and the United Nations agenda 2030 Spectral correction of photovoltaic module electrical properties
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1