| Issue |
E3S Web Conf.
Volume 217, 2020
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2020)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 12 | |
| Section | Urban Ecology | |
| DOI | https://doi.org/10.1051/e3sconf/202021702001 | |
| Published online | 14 December 2020 | |
Correlation Between Density of Residential Areas and Solar Energy Potential in Xining City
Northwestern Polytechnical University, Sustainable Building and Environmental Research Institute, 127 Youyi West Road, Xi’an, Shaanxi, 710072, China
* Corresponding author: liuyu@nwpu.edu.cn
In urban scale, solar energy utilization potential is closely related to residential density. Taking Xining City as an example, this paper explored how density of urban residential area affects solar energy utilization potential of urban housing. By changing density related design variables , including building layout, density rate, floor-site area ratio and the number of floors, 36 general models of residential areas with low, medium and high density are Abstracted. The results show that solar energy utilization potential of buildings varies greatly with different density related design variables. Comparison of a number of different scenarios reveals how density related variables affect solar energy utilization potential, based on which suggestions for optimization of solar energy potential for urban residential areas in their initial planning and design stages are proposed.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.