Issue |
E3S Web Conf.
Volume 356, 2022
The 16th ROOMVENT Conference (ROOMVENT 2022)
|
|
---|---|---|
Article Number | 01031 | |
Number of page(s) | 9 | |
Section | Air Distribution and Ventilation Performance | |
DOI | https://doi.org/10.1051/e3sconf/202235601031 | |
Published online | 31 August 2022 |
Energy consumption baselining and benchmarking of green office buildings in Shanghai
Tongji University, School of Mechanical Engineering, 4800 Cao’an Road, Shanghai, China
* Corresponding author: yiqunpan@tongji.edu.cn
In recent years, many green buildings were built across China, but the actual performance is not as good as expected. Therefore, it is necessary to improve their performance and establish an objective energy consumption baseline as well as the benchmarking approach for green office buildings in Shanghai. Firstly, we categorized the green office buildings in Shanghai into two type - small and large, according to their floor area. Then we defined the baseline of EUI (energy use intensity, kWh/sq.m.a) based on the survey and submetering data and developed the reference models for both small and large green office building. Secondly, we specified four EUI reference levels for each type after studying the energy saving potential of green office buildings in Shanghai. Thirdly, in order to make the benchmarking approach more objective, we proposed EUI correction method for office buildings considering three main influencing factors - schedule, occupant density and meteorological parameters. We established a typical building model library of office buildings in Shanghai. We adopted regression analysis to obtain the corrections for schedule and occupant density. As for meteorological parameters, by classifying the typical days and calculating their representative EUIs, we determined the correction method.
© The Authors, published by EDP Sciences, 2022
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.