Prediction of embodied carbon emissions from residential buildings with different structural forms

Abstract Quantifying and predicting embodied carbon emissions (ECEs) accurately in the scheme design phase is an effective way to reduce ECEs from the source. While previous studies focused on the assessment of carbon emissions (CEs) after construction, this research proposes quick prediction calculation models of ECEs based on CEs of main building materials during scheme design phase by conducting case studies on 129 residential buildings (RBs) of different structures in Jiangsu, China, the accuracy of which is verified by comparing the predicted results with CEs obtained by actual bill of quantities. It is proved that the proposed models simplify ECEs calculation, guide low-carbon building design and facilitate policy making on sustainable development of buildings and cities.

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