Empirical Study on Carbon Emission Estimation Indicators for 
the Life Cycle Analysis of Prefabricated Buildings

Ping Lu; Rui Li,; Yu Zhang; Ying Deng; Bo Wei

doi:10.18686/modern-management-forum.v8i8.13779

Empirical Study on Carbon Emission Estimation Indicators for the Life Cycle Analysis of Prefabricated Buildings

Ping Lu, Rui Li,, Yu Zhang, Ying Deng, Bo Wei

Abstract

Based on the perspective of the life cycle of buildings, a carbon emission estimation model for prefabricated buildings (PCLCA) is constructed, and conduct sensitivity analysis on the factors aff ecting carbon emissions. The results indicate that: (a) the accuracy of
the PC-LCA model is within ± 10%, which is feasible and practical. (b) the ranking of sensitivity factor coeffi cients is: design life > building
area > annual electricity consumption > carbon emission factor > annual heat consumption > annual cooling capacity. This study simplifi ed
the calculation process of carbon emissions and provided predictive suggestions for quantifying carbon emissions and optimizing carbon
reduction measures in the early stages of construction.

Keywords

Prefabricated Buildings; Life Cycle Analysis; Carbon Emission; Regressive Analysis; Empirical Analysis

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DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i8.13779

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