全球能源互联网（英文）2022，Vol.5Issue(3)：281-292,12.DOI:10.1016/j.gloei.2022.06.006
基于卫星遥感影像的区域屋顶光伏潜力评估框架
An estimation framework of regional rooftop photovoltaic potential based on satellite remote sensing images
摘要
Abstract
This paper proposes a comprehensive framework for estimating the regional rooftop photovoltaic (PV) potential. The required rooftop information is extracted from Gao Fen-7 satellite images. In particular, the rooftop area is obtained using a semantic segmentation network. The azimuth and inclination angles are calculated based on the digital surface model. In addition, to improve the accuracy of the economic evaluation, buildings are divided into commercial and industrial buildings and residential buildings. Based on the difference in the roof inclination, the rooftops can be divided into flat roofs, on which the PV panels are installed with the optimal inclination angle, and sloped rooftops, on which the PV panels are installed in a lay-flat manner. The solar irradiation on the plane-of-array is calculated using the isotropic sky translocation model. Then, the available installed capacity and generation potential of the rooftop PV is obtained. Finally, the net present value, dynamic payback period, and internal rate of return are used to evaluate the economic efficiency of the rooftop PV project. The proposed framework is applied in the Da Xing district of Beijing, China, with a total area of 546.84 km2. The results show that the rooftop area and available installed capacity of PV are 25.63 km2 and 1487.45 MWp, respectively. The annual rooftop PV generation potential is 2832.23 GWh, with significant economic returns.关键词
屋顶光伏/潜力评估/经济性评估/GF7号卫星图像Key words
Rooftop PV/Potential estimation/Economic efficiency evaluation/GF7 satellite image引用本文复制引用
陈伯煜,车延博,王靖凯,宇林军,王大成..基于卫星遥感影像的区域屋顶光伏潜力评估框架[J].全球能源互联网（英文）,2022,5(3):281-292,12.基金项目
This work was supported by the Global Energy Interconnection Group Co.,Ltd.,Science and Technology Project(SGGEIG00JYJS2100032). （SGGEIG00JYJS2100032）
