Estimation of Rooftop Solar Photovoltaic Potential Based on High-Resolution Images and Digital Surface Models
文献类型：期刊论文
| 作者 | Hu, Mengjin; Liu, Zhao; Huang, Yaohuan2,3; Wei, Mengju; Yuan, Bo |
| 刊名 | BUILDINGS
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 13期号:11页码:2686 |
| 关键词 | rooftop photovoltaic potential building extraction digital surface model object-based classification |
| DOI | 10.3390/buildings13112686 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Buildings are important components of urban areas, and the construction of rooftop photovoltaic systems plays a critical role in the transition to renewable energy generation. With rooftop solar photovoltaics receiving increased attention, the problem of how to estimate rooftop photovoltaics is under discussion; building detection from remote sensing images is one way to address it. In this study, we presented an available approach to estimate a building's rooftop solar photovoltaic potential. A rapid and accurate rooftop extraction method was developed using object-based image classification combining normalized difference vegetation index (NDVI) and digital surface models (DSMs), and a method for the identification of suitable rooftops for solar panel installation by analysing the geographical restrictions was proposed. The approach was validated using six scenes from Beijing that were taken using Chinese Gaofen-2 (GF-2) satellite imagery and Pleiades imagery. A total of 176 roofs in six scenarios were suitable for PV installation, and the estimated photovoltaic panel area was 205,827 m2. The rooftop photovoltaic potential was estimated to total 22,551 GWh. The results indicated that the rooftop photovoltaic potential estimation method performs well. |
| WOS研究方向 | Construction & Building Technology ; Engineering |
| WOS记录号 | WOS:001120631100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201016]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.State Grid Hebei Elect Power Co Ltd, Econ & Technol Res Inst, Shijiazhuang 050021, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Mengjin,Liu, Zhao,Huang, Yaohuan,et al. Estimation of Rooftop Solar Photovoltaic Potential Based on High-Resolution Images and Digital Surface Models[J]. BUILDINGS,2023,13(11):2686. |
| APA | Hu, Mengjin,Liu, Zhao,Huang, Yaohuan,Wei, Mengju,&Yuan, Bo.(2023).Estimation of Rooftop Solar Photovoltaic Potential Based on High-Resolution Images and Digital Surface Models.BUILDINGS,13(11),2686. |
| MLA | Hu, Mengjin,et al."Estimation of Rooftop Solar Photovoltaic Potential Based on High-Resolution Images and Digital Surface Models".BUILDINGS 13.11(2023):2686. |
入库方式： OAI收割
来源：地理科学与资源研究所
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