An Empirical Discussion on Factorial Decomposition of Carbon Emission from Chinese Residential Buildings During Operation

Abstract:

In order to analyze patterns of carbon dioxide emission from houses, an empirical model is proposed for decomposition of factors which influences carbon emissions from post occupancy of houses based on the optimization and expandetion of Kaya equation, and the modification of logarithmic mean divisia index. The factors of consumption level, energy structure, energy consumption intensity, household size and population density are discussed from Chinese statistic data of building energy consumption from 1995 to 2008. The factors of accelerating the growth of carbon emissions, and restraining the carbon emissions, are presented as well as carbon emission tendency. Several feasible proposals to control carbon emission from houses are also discussed in the end.