An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images

doi:10.3390/en11113172

CORC > 地质与地球物理研究所 > 中国科学院地质与地球物理研究所 > 中国科学院油气资源研究重点实验室

	An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images
	Song, Xiaoyang 1; Huang, Yaohuan 2,3; Zhao, Chuanpeng 2,3; Liu, Yuxin 1,3,4,5; Lu, Yanguo 1; Chang, Yongguo 1; Yang, Jie 1
刊名	ENERGIES
	2018-11-01
卷号	11 期号:11 页码:14
关键词	solar resources digital surface models (DSM) rooftop feature rooftop photovoltaic solar photovoltaic potential energy
ISSN号	1996-1073
DOI	10.3390/en11113172
英文摘要	Solar energy is the most clean renewable energy source and has good prospects for future sustainable development. Installation of solar photovoltaic (PV) systems on building rooftops has been the most widely applied method for using solar energy resources. In this study, we developed an approach to simulate the monthly and annual solar radiation on rooftops at an hourly time step to estimate the solar PV potential, based on rooftop feature retrieval from remote sensing images. The rooftop features included 2D rooftop outlines and 3D rooftop parameters retrieved from high-resolution remote sensing image data (obtained from Google Maps) and digital surface model (DSM, generated from the Pleiades satellite), respectively. We developed the building features calculation method for five rooftop types: flat rooftops, shed rooftops, hipped rooftops, gable rooftops and mansard rooftops. The parameters of the PV modules derived from the building features were then combined with solar radiation data to evaluate solar photovoltaic potential. The proposed method was applied in the Chao Yang District of Beijing, China. The results were that the number of rooftops available for PV systems was 743, the available rooftop area was 678,805 m(2), and the annual PV electricity potential was 63.78 GWh/year in the study area, which has great solar PV potential. The method to perform precise calculation of specific rooftop solar PV potential developed in this study will guide the formulation of energy policy for solar PV in the future.
资助项目	National key Research and Development Plan of China[2016YFC0401404] ; National major scientific instruments and equipment Development Projects of China[2013YQ12035702]
WOS关键词	ELECTRICITY PRODUCTION ; LIDAR DATA ; PANELS ; METHODOLOGY ; CITY
WOS研究方向	Energy & Fuels
语种	英语
出版者	MDPI
WOS记录号	WOS:000451814000310
资助机构	National key Research and Development Plan of China ; National key Research and Development Plan of China ; National major scientific instruments and equipment Development Projects of China ; National major scientific instruments and equipment Development Projects of China ; National key Research and Development Plan of China ; National key Research and Development Plan of China ; National major scientific instruments and equipment Development Projects of China ; National major scientific instruments and equipment Development Projects of China ; National key Research and Development Plan of China ; National key Research and Development Plan of China ; National major scientific instruments and equipment Development Projects of China ; National major scientific instruments and equipment Development Projects of China ; National key Research and Development Plan of China ; National key Research and Development Plan of China ; National major scientific instruments and equipment Development Projects of China ; National major scientific instruments and equipment Development Projects of China
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/90299]
专题	地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者	Huang, Yaohuan
作者单位	1.Chinese Acad Sci, Inst Acoust, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China 5.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Song, Xiaoyang,Huang, Yaohuan,Zhao, Chuanpeng,et al. An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images[J]. ENERGIES,2018,11(11):14.
APA	Song, Xiaoyang.,Huang, Yaohuan.,Zhao, Chuanpeng.,Liu, Yuxin.,Lu, Yanguo.,...&Yang, Jie.(2018).An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images.ENERGIES,11(11),14.
MLA	Song, Xiaoyang,et al."An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images".ENERGIES 11.11(2018):14.