Based on data collected in 20 A-level high-rise commercial concrete buildings in Hong Kong, the research successfully established a probability density function model, which is used to describe the carbon emissions profile of a commercial building. Results indicate that the superstructure of a commercial building, on average, had a footprint of 226.65 kg CO2/m and 10.6 kg CO2/m separately in the material use stage and transportation stages. It also evaluates the carbon emissions of various building elements and divides them into three levels according to the magnitude of their contribution. The results show that upper floor construction and external wall in Tier 1 contribute nearly 80% of emissions and should be of great concern. In addition to the probability density function model, a regression model was also successfully established in the study to predict carbon emissions. Research has shown that building layers and gross floor area can predict carbon emissions per unit area, and there is a positive relationship between the independent variable and the dependent variable. The regression model can help building designers determine design options to reduce carbon emissions in the early stages of design.
|Journal||E3S Web of Conferences|
|Publication status||Published - 21 May 2021|
|Event||2021 7th International Conference on Energy Materials and Environment Engineering, ICEMEE 2021 - Zhangjaijie, China|
Duration: 23 Apr 2021 → 25 Apr 2021
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)