粉尘堆积对光伏板的影响:综述

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY International Journal of Sustainable Engineering Pub Date : 2022-11-06 DOI:10.1080/19397038.2022.2140222
Haneen Abuzaid, M. Awad, A. Shamayleh
{"title":"粉尘堆积对光伏板的影响:综述","authors":"Haneen Abuzaid, M. Awad, A. Shamayleh","doi":"10.1080/19397038.2022.2140222","DOIUrl":null,"url":null,"abstract":"ABSTRACT Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective renewable energy resource due to their environmental and economic merits. However, PV systems are prone to several environmental and weather conditions that impact their performance. Amongst these conditions is dust accumulation, which has a significant adversative impact on the solar cells’ performance, especially in hot and arid regions. This study provides a comprehensive review of 278 articles focused on the impact of dust on PV panels’ performance along with other associated environmental factors, such as temperature, humidity, and wind speed. The review highlights the importance of modelling dust accumulation along with other ecological factors due to their interactive nature, and the differences between cleaning techniques and schedules effectiveness. Moreover, the study provides a review of statistical and artificial intelligence models used to predict PV performance and its prediction accuracies in terms of data size and complexity. Finally, the study draws attention to several research gaps that warrant further investigation. Among these gaps is the need for proper dynamic optimisation models for cleaning schedules and a more advanced machine and deep learning models to predict dust accumulation while considering environmental and ageing factors.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2022-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Impact of dust accumulation on photovoltaic panels: a review paper\",\"authors\":\"Haneen Abuzaid, M. Awad, A. Shamayleh\",\"doi\":\"10.1080/19397038.2022.2140222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective renewable energy resource due to their environmental and economic merits. However, PV systems are prone to several environmental and weather conditions that impact their performance. Amongst these conditions is dust accumulation, which has a significant adversative impact on the solar cells’ performance, especially in hot and arid regions. This study provides a comprehensive review of 278 articles focused on the impact of dust on PV panels’ performance along with other associated environmental factors, such as temperature, humidity, and wind speed. The review highlights the importance of modelling dust accumulation along with other ecological factors due to their interactive nature, and the differences between cleaning techniques and schedules effectiveness. Moreover, the study provides a review of statistical and artificial intelligence models used to predict PV performance and its prediction accuracies in terms of data size and complexity. Finally, the study draws attention to several research gaps that warrant further investigation. Among these gaps is the need for proper dynamic optimisation models for cleaning schedules and a more advanced machine and deep learning models to predict dust accumulation while considering environmental and ageing factors.\",\"PeriodicalId\":14400,\"journal\":{\"name\":\"International Journal of Sustainable Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2022-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sustainable Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19397038.2022.2140222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19397038.2022.2140222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 4

摘要

摘要光伏系统作为一种可靠、有效的可再生能源,由于其环境和经济优势,已在世界范围内得到广泛应用。然而,光伏系统容易受到影响其性能的几种环境和天气条件的影响。其中包括灰尘积聚,这对太阳能电池的性能有重大不利影响,尤其是在炎热和干旱地区。这项研究对278篇文章进行了全面综述,重点关注灰尘对光伏电池板性能的影响以及其他相关环境因素,如温度、湿度和风速。该综述强调了建模灰尘积聚和其他生态因素的重要性,因为它们具有相互作用的性质,以及清洁技术和时间表有效性之间的差异。此外,该研究还回顾了用于预测光伏性能的统计和人工智能模型及其在数据大小和复杂性方面的预测准确性。最后,本研究提请注意几个值得进一步调查的研究空白。这些差距包括需要适当的清洁时间表动态优化模型,以及更先进的机器和深度学习模型来预测灰尘积聚,同时考虑环境和老化因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Impact of dust accumulation on photovoltaic panels: a review paper
ABSTRACT Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective renewable energy resource due to their environmental and economic merits. However, PV systems are prone to several environmental and weather conditions that impact their performance. Amongst these conditions is dust accumulation, which has a significant adversative impact on the solar cells’ performance, especially in hot and arid regions. This study provides a comprehensive review of 278 articles focused on the impact of dust on PV panels’ performance along with other associated environmental factors, such as temperature, humidity, and wind speed. The review highlights the importance of modelling dust accumulation along with other ecological factors due to their interactive nature, and the differences between cleaning techniques and schedules effectiveness. Moreover, the study provides a review of statistical and artificial intelligence models used to predict PV performance and its prediction accuracies in terms of data size and complexity. Finally, the study draws attention to several research gaps that warrant further investigation. Among these gaps is the need for proper dynamic optimisation models for cleaning schedules and a more advanced machine and deep learning models to predict dust accumulation while considering environmental and ageing factors.
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
International Journal of Sustainable Engineering
International Journal of Sustainable Engineering GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
7.70
自引率
0.00%
发文量
19
期刊最新文献
Selected papers from the 2nd International Conference of the Institute of Advanced Materials for Sustainable Manufacturing (IC-IAMSM) Bioadsorbents for removal of microplastics from water ecosystems: a review A comparative analysis of power control strategies for a plug-in extended-range FCHEV with battery and PEMFC durability considerations Application of ramie-based eco-friendly material in coastal protection structures in Indonesia: feasibility study focusing on strength and biodegradability Greening the future: identifying and mitigating environmental hotspots in the MSME sector - a wall mixer case study
×
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