利用卫星和航空图像识别太阳能光伏:技术现状和研究机会

J. Hoog, S. Maetschke, Peter Ilfrich, Ramachandra Rao Kolluri
{"title":"利用卫星和航空图像识别太阳能光伏:技术现状和研究机会","authors":"J. Hoog, S. Maetschke, Peter Ilfrich, Ramachandra Rao Kolluri","doi":"10.1145/3396851.3397681","DOIUrl":null,"url":null,"abstract":"Solar photovoltaic (PV) is the fastest growing form of energy generation today, and many countries are seeing significant uptake of distributed solar PV on the rooftops of homes and businesses. However, many of these systems are not accurately registered, and central records of distributed solar PV are often not up-to-date. At the same time, high levels of solar PV are introducing challenges for many stakeholders in the energy sector, such as market operators and network operators, who need to forecast total rooftop solar PV generation across entire regions. One possible solution to this problem is to identify existing solar PV generation systems using overhead satellite and aerial imagery. While there have been early promising attempts in this direction, there are nevertheless many important research challenges that remain to be addressed. In this paper we survey the state of the art in this nascent area, describe the challenges that exist, and advocate for novel research questions that are worthy of further exploration. By identifying these areas of interest we aim to generate greater awareness of the potential value of satellite and aerial imagery for identification of solar PV, which will ultimately facilitate large scale uptake of solar PV and other renewable generation technologies.","PeriodicalId":442966,"journal":{"name":"Proceedings of the Eleventh ACM International Conference on Future Energy Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities\",\"authors\":\"J. Hoog, S. Maetschke, Peter Ilfrich, Ramachandra Rao Kolluri\",\"doi\":\"10.1145/3396851.3397681\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Solar photovoltaic (PV) is the fastest growing form of energy generation today, and many countries are seeing significant uptake of distributed solar PV on the rooftops of homes and businesses. However, many of these systems are not accurately registered, and central records of distributed solar PV are often not up-to-date. At the same time, high levels of solar PV are introducing challenges for many stakeholders in the energy sector, such as market operators and network operators, who need to forecast total rooftop solar PV generation across entire regions. One possible solution to this problem is to identify existing solar PV generation systems using overhead satellite and aerial imagery. While there have been early promising attempts in this direction, there are nevertheless many important research challenges that remain to be addressed. In this paper we survey the state of the art in this nascent area, describe the challenges that exist, and advocate for novel research questions that are worthy of further exploration. By identifying these areas of interest we aim to generate greater awareness of the potential value of satellite and aerial imagery for identification of solar PV, which will ultimately facilitate large scale uptake of solar PV and other renewable generation technologies.\",\"PeriodicalId\":442966,\"journal\":{\"name\":\"Proceedings of the Eleventh ACM International Conference on Future Energy Systems\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Eleventh ACM International Conference on Future Energy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3396851.3397681\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eleventh ACM International Conference on Future Energy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3396851.3397681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

摘要

太阳能光伏发电(PV)是当今增长最快的能源发电形式,许多国家都在家庭和企业屋顶上大量采用分布式太阳能光伏发电。然而,这些系统中的许多都没有准确登记,分布式太阳能光伏的中央记录往往不是最新的。与此同时,高水平的太阳能光伏发电给能源行业的许多利益相关者带来了挑战,例如市场运营商和网络运营商,他们需要预测整个地区的屋顶太阳能光伏发电总量。这个问题的一个可能的解决方案是利用卫星和航空图像来识别现有的太阳能光伏发电系统。虽然在这个方向上已经有了一些早期的有希望的尝试,但是仍然有许多重要的研究挑战有待解决。在本文中,我们调查了这一新兴领域的现状,描述了存在的挑战,并倡导值得进一步探索的新颖研究问题。通过确定这些感兴趣的领域,我们的目标是提高人们对卫星和航空图像识别太阳能光伏的潜在价值的认识,这将最终促进太阳能光伏和其他可再生发电技术的大规模采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities
Solar photovoltaic (PV) is the fastest growing form of energy generation today, and many countries are seeing significant uptake of distributed solar PV on the rooftops of homes and businesses. However, many of these systems are not accurately registered, and central records of distributed solar PV are often not up-to-date. At the same time, high levels of solar PV are introducing challenges for many stakeholders in the energy sector, such as market operators and network operators, who need to forecast total rooftop solar PV generation across entire regions. One possible solution to this problem is to identify existing solar PV generation systems using overhead satellite and aerial imagery. While there have been early promising attempts in this direction, there are nevertheless many important research challenges that remain to be addressed. In this paper we survey the state of the art in this nascent area, describe the challenges that exist, and advocate for novel research questions that are worthy of further exploration. By identifying these areas of interest we aim to generate greater awareness of the potential value of satellite and aerial imagery for identification of solar PV, which will ultimately facilitate large scale uptake of solar PV and other renewable generation technologies.
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信