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
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| 刊名 | ENERGIES
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| 出版日期 | 2018-11-01 |
| 卷号 | 11期号:11页码:14 |
| ISSN号 | 1996-1073 |
| 关键词 | solar resources digital surface models (DSM) rooftop feature rooftop photovoltaic solar photovoltaic potential energy |
| DOI | 10.3390/en11113172 |
| 通讯作者 | Huang, Yaohuan(Huangyh@igsnrr.ac.cn) |
| 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 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000451814000310 |
| 资助机构 | National key Research and Development Plan of China ; National major scientific instruments and equipment Development Projects of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/51446]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 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：地理科学与资源研究所
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