Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
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DOI：
10.1016/j.apenergy.2022.120579
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发表时间：
2023-03
期刊：
影响因子：
11.2
通讯作者：
Qi Chen;Xinyuan Li;Zeyu Zhang;Chao Zhou;Zhiling Guo;Zhengguang Liu;H. Zhang
中科院分区：
文献类型：
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作者：
Qi Chen;Xinyuan Li;Zeyu Zhang;Chao Zhou;Zhiling Guo;Zhengguang Liu;H. Zhang
发展太阳能光伏发电系统是解决化石燃料储量有限、世界能源需求激增和全球气候变化等问题的有效途径。地球观测信息为估算光伏能源潜力和了解光伏系统发展状况提供了一个有希望的视角，这对于制定科学合理和成本最优的可持续规划战略至关重要。遥感技术是一种获取不同时空尺度地表信息的多功能技术，目前已广泛应用于光伏开发的各个领域。然而，尽管相关研究迅速增长，但仍然缺乏对RS在不同阶段（即，规划、选址、安装、维护等）光伏系统的发展。本文系统地回顾了RS技术在光伏系统发展各个阶段的应用研究进展。综述的文献分为四个主要部分：i）PV潜力估计，ii）PV阵列检测，iii）PV故障监测和诊断，以及iv）RS可以促进PV发展的其他交叉领域。遥感技术可以弥补传统方法在资源潜力有效评估、大规模数据分析和光伏健康监测等方面的差距，为光伏系统规划、管理和决策提供有力支持。最后，我们讨论了未来的挑战和机遇，在光伏应用中的RS技术，推进这一领域的研究。
Developing solar photovoltaic (PV) systems is an effective way to address the problems of limited fossil fuel reserves, soaring world energy demand and global climate change. The earth observation information provides a promising perspective for estimating the PV energy potential and understanding the status of the PV system development, which is critical for making scientifically sound and cost-optimal sustainable planning strategies. Remote sensing (RS), a versatile technology that captures surface information at various temporal and spatial scales, is now widely applied in different fields of the PV development. However, despite the rapid growth of related research, there is still a lack of comprehensive review on the application of RS to different stages (i.e., planning, site selection, installation, maintenance, etc.) of the PV system development. This paper systematically reviews the research progress of RS technology applied throughout various stages of the PV system development. The reviewed literatures are organized as four major parts: i) PV potential estimation, ii) PV array detection, iii) PV fault monitoring and diagnosis, and iv) other cross-cutting areas where RS can facilitate PV development. We conclude that RS technology can bridge the gap caused by the traditional methods in effective assessment of resource potential, large-scale data analysis and PV health monitoring, which can provide strong support in assisting the planning, management, and decision-making of PV systems. Finally, we discuss future challenges and opportunities for RS technology in PV applications for advancing the research in this area.