Remote sensing of photovoltaic scenarios: Techniques, applications and future directions

被引:53
作者
Chen, Qi [1 ]
Li, Xinyuan [1 ]
Zhang, Zhengjia [1 ]
Zhou, Chao [1 ]
Guo, Zhiling [2 ]
Liu, Zhengguang [3 ]
Zhang, Haoran [4 ]
机构
[1] China Univ Geosci Wuhan, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
[2] Univ Tokyo, Ctr Spatial Informat Sci, Chiba 2778568, Japan
[3] Northwest A&F Univ, Dept Energy & Elect Engn, Yangling 712100, Peoples R China
[4] Peking Univ, Sch Urban Planning & Design, Shenzhen 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Solar photovoltaic; Remote sensing; Potential estimation; PV detection; PV monitoring; Sustainable development; SURFACE SOLAR IRRADIANCE; FAULT-DIAGNOSIS; POTENTIAL ASSESSMENT; SATELLITE; ENERGY; POWER; RADIATION; PERFORMANCE; MODULES; ROOFTOP;
D O I
10.1016/j.apenergy.2022.120579
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:17
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