| 来源类型 | Article |
| 规范类型 | 其他 |
| A GIS-based statistical approach to prioritize the retrofit of housing stocks at the urban scale. | |
| Baume O; Stazi F; Leopold U | |
| 发表日期 | 2016 |
| 出处 | Journal of Energy Challenges and Mechanics 3 (4): 186-190. |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Cities are responsible for about 70% of the overall primary energy consumption in Europe and play a major role in addressing carbon mitigation. In this respect, the housing s ector has been identified as a key sector for its high energy savings potential achievable by implementing retrofit measures. However, a detailed characterization of the housing energy consumption profile and spatial distribution is needed to properly asse ss the energy saving potential at the urban scale and further support sustainable urban planning and energy policies. |
| 主题 | Energy (ENE) |
| 关键词 | Building stock Energy savings Costs CO2 emissions Sustainable urban planning |
| URL | http://pure.iiasa.ac.at/id/eprint/14467/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130473 |
| 推荐引用方式 GB/T 7714 | Baume O,Stazi F,Leopold U. A GIS-based statistical approach to prioritize the retrofit of housing stocks at the urban scale.. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A%20GIS-based%20stat（586KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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