Performance analysis of P3HT:PCBM based organic solar cell

Nusrat Karim, Farha Islam Mime, M. Islam, I. Mehedi
{"title":"Performance analysis of P3HT:PCBM based organic solar cell","authors":"Nusrat Karim, Farha Islam Mime, M. Islam, I. Mehedi","doi":"10.1109/ECACE.2017.7913017","DOIUrl":null,"url":null,"abstract":"An analytical model of the photocurrent-voltage characteristics has been utilized to analyze important properties of organic bulk-heterojunction solar cells, e.g., generation rate, electron current density, hole current density and the total photocurrent density. The generation rate of P3HT:PCBM based solar cell critically depends on the absorption coefficient. For measuring the electron and hole current density solution of carrier continuity equation is used in MATLAB. Then the effects of electron and hole current density on the performance of P3HT solar cells have been studied. The result of this paper demonstrate that current density due to electron plays a major role in photocurrent production while hole current density has a very little impact. Effect of electron and hole mobility variation are investigated separately which indicate that increasing electron mobility are extremely important than hole mobility to increase the power conversion efficiency of P3HT:PCBM blend. The dependence of electron and hole current densities as a function of the blend thickness is also analyzed.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECACE.2017.7913017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

An analytical model of the photocurrent-voltage characteristics has been utilized to analyze important properties of organic bulk-heterojunction solar cells, e.g., generation rate, electron current density, hole current density and the total photocurrent density. The generation rate of P3HT:PCBM based solar cell critically depends on the absorption coefficient. For measuring the electron and hole current density solution of carrier continuity equation is used in MATLAB. Then the effects of electron and hole current density on the performance of P3HT solar cells have been studied. The result of this paper demonstrate that current density due to electron plays a major role in photocurrent production while hole current density has a very little impact. Effect of electron and hole mobility variation are investigated separately which indicate that increasing electron mobility are extremely important than hole mobility to increase the power conversion efficiency of P3HT:PCBM blend. The dependence of electron and hole current densities as a function of the blend thickness is also analyzed.
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
基于P3HT:PCBM的有机太阳能电池性能分析
利用光电流-电压特性的解析模型分析了有机体异质结太阳能电池的重要特性,如产生率、电子电流密度、空穴电流密度和总光电流密度。P3HT:PCBM基太阳能电池的发电速率主要取决于吸收系数。为了测量电子和空穴电流密度,利用MATLAB求解载流子连续性方程。然后研究了电子和空穴电流密度对P3HT太阳能电池性能的影响。结果表明,电子产生的电流密度对光电流的产生起主要作用,而空穴电流密度对光电流的产生影响很小。分别研究了电子迁移率和空穴迁移率对P3HT:PCBM共混物功率转换效率的影响,结果表明提高电子迁移率比提高空穴迁移率更为重要。分析了电子和空穴电流密度随共混厚度的变化规律。
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
自引率
0.00%
发文量
0
期刊最新文献
A new approach of noise elimination methodology for ECG signal Modeling of grid connected battery storage wave energy and PV hybrid renewable power generation Automated anti-collision system for automobiles A TDMA based EM controlled multi-channel MAC protocol for underwater sensor networks Performance analysis of classifying localization sites of protein using data mining techniques and artificial neural networks
×
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