| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 4 | |
| Section | Community Upgrading and Urban Development Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202451201017 | |
| Published online | 10 April 2024 | |
Research on Key Technologies for Green Transformation of Existing Residential Buildings in Dense Urban Areas
1 Shanghai Urban Construction Vocational College, Yangpu Shanghai 200438, China
2 Shanghai Jianke Architectural Design Institute Co., Ltd, Xuhui Shanghai 200032, China
* Corresponding author’s e-mail: 39627188@qq.com
To achieve green and environmentally friendly urban construction, it is proposed to study a key technology for the green transformation of existing residential buildings in densely populated urban areas. Firstly, using a time series autoregressive model, achieve energy consumption prediction for HVAC heating. Secondly, based on multi-objective particle swarm optimization algorithm, energy-saving control of HVAC systems was achieved. Finally, the effectiveness of the proposed key technology was verified through experiments. The results of this article indicate that the green transformation of existing residential buildings in densely populated urban areas is necessary and feasible, and the application of key technologies can effectively reduce energy consumption and improve the quality of the living environment.
© The Authors, published by EDP Sciences, 2024
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.
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