光伏组件玻璃增透防污涂层的空间分辨联合表征

IF 3.784 3区 化学 Q1 Chemistry ACS Combinatorial Science Pub Date : 2020-03-02 DOI:10.1021/acscombsci.9b00213
Stephanie L. Moffitt, Conor Riley, Benjamin H. Ellis, Robert A. Fleming, Corey S. Thompson, Patrick D. Burton, Margaret E. Gordon, Andriy Zakutayev, Laura T. Schelhas*
{"title":"光伏组件玻璃增透防污涂层的空间分辨联合表征","authors":"Stephanie L. Moffitt,&nbsp;Conor Riley,&nbsp;Benjamin H. Ellis,&nbsp;Robert A. Fleming,&nbsp;Corey S. Thompson,&nbsp;Patrick D. Burton,&nbsp;Margaret E. Gordon,&nbsp;Andriy Zakutayev,&nbsp;Laura T. Schelhas*","doi":"10.1021/acscombsci.9b00213","DOIUrl":null,"url":null,"abstract":"<p >Characterization of photovoltaic (PV) module materials throughout different stages of service life is crucial to understanding and improving the durability of these materials. Currently the large-scale of PV modules (&gt;1 m<sup>2</sup>) is imbalanced with the small-scale of most materials characterization tools (≤1 cm<sup>2</sup>). Furthermore, understanding degradation mechanisms often requires a combination of multiple characterization techniques. Here, we present adaptations of three standard materials characterization techniques to enable mapping characterization over moderate sample areas (≥25 cm<sup>2</sup>). Contact angle, ellipsometry, and UV–vis spectroscopy are each adapted and demonstrated on two representative samples: a commercial multifunctional coating for PV glass and an oxide combinatorial sample library. Best practices are discussed for adapting characterization techniques for large-area mapping and combining mapping information from multiple techniques.</p>","PeriodicalId":14,"journal":{"name":"ACS Combinatorial Science","volume":"22 4","pages":"197–203"},"PeriodicalIF":3.7840,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1021/acscombsci.9b00213","citationCount":"3","resultStr":"{\"title\":\"Combined Spatially Resolved Characterization of Antireflection and Antisoiling Coatings for PV Module Glass\",\"authors\":\"Stephanie L. Moffitt,&nbsp;Conor Riley,&nbsp;Benjamin H. Ellis,&nbsp;Robert A. Fleming,&nbsp;Corey S. Thompson,&nbsp;Patrick D. Burton,&nbsp;Margaret E. Gordon,&nbsp;Andriy Zakutayev,&nbsp;Laura T. Schelhas*\",\"doi\":\"10.1021/acscombsci.9b00213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Characterization of photovoltaic (PV) module materials throughout different stages of service life is crucial to understanding and improving the durability of these materials. Currently the large-scale of PV modules (&gt;1 m<sup>2</sup>) is imbalanced with the small-scale of most materials characterization tools (≤1 cm<sup>2</sup>). Furthermore, understanding degradation mechanisms often requires a combination of multiple characterization techniques. Here, we present adaptations of three standard materials characterization techniques to enable mapping characterization over moderate sample areas (≥25 cm<sup>2</sup>). Contact angle, ellipsometry, and UV–vis spectroscopy are each adapted and demonstrated on two representative samples: a commercial multifunctional coating for PV glass and an oxide combinatorial sample library. Best practices are discussed for adapting characterization techniques for large-area mapping and combining mapping information from multiple techniques.</p>\",\"PeriodicalId\":14,\"journal\":{\"name\":\"ACS Combinatorial Science\",\"volume\":\"22 4\",\"pages\":\"197–203\"},\"PeriodicalIF\":3.7840,\"publicationDate\":\"2020-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1021/acscombsci.9b00213\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Combinatorial Science\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acscombsci.9b00213\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Chemistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Combinatorial Science","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acscombsci.9b00213","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 3

摘要

光伏(PV)组件材料在不同使用寿命阶段的特性对理解和提高这些材料的耐久性至关重要。目前光伏组件的大尺度(>1 m2)与大多数材料表征工具的小尺度(≤1 cm2)不平衡。此外,理解降解机制通常需要多种表征技术的结合。在这里,我们提出了三种标准材料表征技术的适应性,以实现在中等样品面积(≥25 cm2)上的映射表征。接触角、椭偏和紫外-可见光谱分别在两个代表性样品上进行了调整和演示:用于PV玻璃的商用多功能涂层和氧化物组合样品库。讨论了采用表征技术进行大面积测绘和结合多种技术的测绘信息的最佳实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Combined Spatially Resolved Characterization of Antireflection and Antisoiling Coatings for PV Module Glass

Characterization of photovoltaic (PV) module materials throughout different stages of service life is crucial to understanding and improving the durability of these materials. Currently the large-scale of PV modules (>1 m2) is imbalanced with the small-scale of most materials characterization tools (≤1 cm2). Furthermore, understanding degradation mechanisms often requires a combination of multiple characterization techniques. Here, we present adaptations of three standard materials characterization techniques to enable mapping characterization over moderate sample areas (≥25 cm2). Contact angle, ellipsometry, and UV–vis spectroscopy are each adapted and demonstrated on two representative samples: a commercial multifunctional coating for PV glass and an oxide combinatorial sample library. Best practices are discussed for adapting characterization techniques for large-area mapping and combining mapping information from multiple techniques.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACS Combinatorial Science
ACS Combinatorial Science CHEMISTRY, APPLIED-CHEMISTRY, MEDICINAL
自引率
0.00%
发文量
0
审稿时长
1 months
期刊介绍: The Journal of Combinatorial Chemistry has been relaunched as ACS Combinatorial Science under the leadership of new Editor-in-Chief M.G. Finn of The Scripps Research Institute. The journal features an expanded scope and will build upon the legacy of the Journal of Combinatorial Chemistry, a highly cited leader in the field.
期刊最新文献
Correction. Visual experience reduces the spatial redundancy between cortical feedback inputs and primary visual cortex neurons Visual experience reduces the spatial redundancy between cortical feedback inputs and primary visual cortex neurons Optimized ultrasound neuromodulation for non-invasive control of behavior and physiology Dissecting attention: Rate modulation vs. phase locking
×
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:604180095
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