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  4. 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

文献类型：期刊论文

作者Song, Xiaoyang1; Huang, Yaohuan2,3; Zhao, Chuanpeng2,3; Liu, Yuxin1,3,4,5; Lu, Yanguo1; Chang, Yongguo1; Yang, Jie1
刊名ENERGIES
出版日期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
DOI10.3390/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.
WOS关键词ELECTRICITY PRODUCTION ; LIDAR DATA ; PANELS ; METHODOLOGY ; CITY
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研究方向Energy & Fuels
语种英语
WOS记录号WOS:000451814000310
出版者MDPI
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
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.

入库方式： OAI收割

来源：地质与地球物理研究所

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