Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations
文献类型：期刊论文
| 作者 | Jiang, Hou; Lu, Ning; Wang, Xuecheng2 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 15期号:4 |
| 关键词 | rooftop PV carbon emission reduction dispatch modeling remote sensing |
| ISSN号 | 2071-1050 |
| DOI | 10.3390/su15043380 |
| 文献子类 | Article |
| 英文摘要 | Developing rooftop photovoltaic (PV) has become an important initiative for achieving carbon neutrality in China, but the carbon reduction potential assessment has not properly considered the spatial and temporal variability of PV generation and the curtailment in electricity dispatch. In this study, we propose a technical framework to fill the gap in assessing carbon reduction potential through remote sensing data-driven simulations. The spatio-temporal variations in rooftop PV generations were simulated on an hourly basis, and a dispatch analysis was then performed in combination with hourly load profiles to quantify the PV curtailment in different scenarios. Our results showed that the total rooftop PV potential in China reached 6.5 PWh yr(-1), mainly concentrated in the eastern region where PV generation showed high variability. The carbon reduction from 100% flexible grids with 12 h of storage capacity is close to the theoretical maximum, while without storage, the potential may be halved. To maximize the carbon reduction potential, rooftop PV development should consider grid characteristics and regional differences. This study has important implications for the development of rooftop PV and the design of carbon-neutral pathways based on it. |
| WOS关键词 | RENEWABLE ENERGY ; LIDAR DATA ; GENERATION ; BUILDINGS ; MODEL ; BIPV ; CITY ; GIS |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:000940082300001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190327]  |
| 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.Nanning Normal Univ, Sch Geog & Planning, Nanning 530001, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Hou,Lu, Ning,Wang, Xuecheng. Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations[J]. SUSTAINABILITY,2023,15(4). |
| APA | Jiang, Hou,Lu, Ning,&Wang, Xuecheng.(2023).Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations.SUSTAINABILITY,15(4). |
| MLA | Jiang, Hou,et al."Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations".SUSTAINABILITY 15.4(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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