节点文献
基于多源数据融合的城市屋顶光伏潜力评估
ASSESSMENT OF URBAN ROOFTOP PV POTENTIAL BASED ON MUTIL-SOURCE DATA FUSION
【摘要】 针对现有研究多局限于采用卫星遥感图像或地理信息等单一数据源难以准确反应城市屋顶光伏潜力的问题,考虑阴影效应、地理位置和气象条件等因素的影响,该文提出一种基于多源信息融合的城市屋顶光伏提升方法,所提方法主要包括屋顶信息提取、区域建筑阴影计算和光伏发电潜力计算3个环节,在各环节的分析中引入大量卫星遥感图像、地理信息数据、气象等数据,极大提升了城市光伏潜力评估的准确性。最后以长沙市为例进行方法的应用,评估结果表明长沙市城市屋顶光伏的发电潜力为14480.4 GWh,具备较大的开发潜力。
【Abstract】 Accurate assessment of urban rooftop PV development potential is one of the key problems to be solved for urban rooftop PV construction. Most of the existing studies are limited to the assessment of urban rooftop PV potential by a single data source, such as satellite remote sensing images or geographic information, which is difficult to accurately respond to the urban rooftop PV potential under the influence of multiple factors. Considering the shadow effect, geographic location and meteorological conditions, this paper proposes an urban rooftop PV enhancement method based on the fusion of multi-source information, which mainly includes three links: roof information extraction, regional building shadow calculation and PV power generation potential calculation, and a large amount of satellite remote sensing imagery, geographic information data, meteorological data and other data are introduced into the analyses of the links, which greatly enhance the accuracy of the assessment of the urban photovoltaic potential. The accuracy of urban PV potential assessment is greatly improved. Finally, the method is applied to Changsha City as an example, and the evaluation results show that the power generation potential of urban rooftop photovoltaic in Changsha City is 14480.4 GWh, which is a large potential for development.
【Key words】 distributed photovoltaic; deep learning; geographic information systems(GIS); satellite remote sensing imagery; multi-source information fusion;
- 【文献出处】 太阳能学报 ,Acta Energiae Solaris Sinica , 编辑部邮箱 ,2024年12期
- 【分类号】TM615;TP751
- 【下载频次】77