全球能源互联网2025，Vol.8Issue(2)：176-191,16.DOI:10.19705/j.cnki.issn2096-5125.2025.02.006
基于遥感智能的中国分布式建筑光伏发电潜力评估方法及资源特性分析
Intelligent Remote Sensing-based Evaluation and Analysis on China's Distributed Building Photovoltaic Potentials
摘要
Abstract
In recent years,rapid development of distributed building-photovoltaics(PV)in China has heightened the need for more precise and expansive methods to evaluate building-PV potentials for project development and grid integration planning.This study introduces an intelligent remote sensing-based evaluation method for distributed building-PV potential.Using sub-meter resolution satellite images,algorithms to recognize rooftop and façade for individual buildings were developed based on self-supervised learning and building shadow recognition respectively.With the recognition accuracy reached 87%,the exploitable area,potential installed capacity and annual generation of nationwide building-PV were assessed.Furthermore,this paper analyzed the"optimized angles"of rooftop PV panels and their impact on PV power generations.Impact factors on building-PV resources were discussed,as well as province clusters classified by development prospects.This method achieved a"bottom-up"batch and automated assessment of building-PV potential,providing an effective technique to support building-PV project and power grid integration planning.关键词
分布式建筑光伏/光伏发电潜力/卫星遥感/机器学习/自监督学习Key words
distributed building PV/PV generation potential/remote sensing satellites/machine learning/self-supervised learning分类
动力与电气工程引用本文复制引用
陈晨,宋福龙,彭玲,陈德跃,陈伯煜..基于遥感智能的中国分布式建筑光伏发电潜力评估方法及资源特性分析[J].全球能源互联网,2025,8(2):176-191,16.基金项目
国家自然科学基金专项项目(42341206) （42341206）
全球能源互联网集团有限公司科技项目(建筑光伏发电潜力评估方法及实证研究).National Natural Science Foundation of China(42341206) （建筑光伏发电潜力评估方法及实证研究）
Science and Technology Project of Global Energy Interconnection Group Co.,Ltd.(Research on the Evaluation Method and Empirical Analyses of Building Photovoltaic Power Generation Potential). （Research on the Evaluation Method and Empirical Analyses of Building Photovoltaic Power Generation Potential）
