Carbon emission prediction model during the material production stage for cold zone residential buildings

LIU Yiming; LIU Nianxiong; XU Peiqi

doi:10.16511/j.cnki.qhdxxb.2022.22.044

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Journal of Tsinghua University(Science and Technology) ›› 2023, Vol. 63 ›› Issue (1) : 15-23. DOI: 10.16511/j.cnki.qhdxxb.2022.22.044

CARBON NEUTRALITY

Carbon emission prediction model during the material production stage for cold zone residential buildings

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Abstract

A carbon emission prediction model was developed for the material production stage of residential buildings in Chinese cold zones for achieving the national carbon neutrality goals in residential construction. This study first analyzed the compositions and distributions of building material carbon emissions during production of 17 residential buildings. Linear regressions and ridge regressions were then used to relate the building material carbon emissions to the residential building space and volume design parameters. 10 carbon emission prediction models were then developed for the design parameters. The results show that one ridge regression model based on the number of building stories, the floor plan and the primary room configurations most accurately predicts the building material carbon emissions.

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building material carbon emissions / material production stage / residential building / design parameter

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LIU Yiming, LIU Nianxiong, XU Peiqi. Carbon emission prediction model during the material production stage for cold zone residential buildings[J]. Journal of Tsinghua University(Science and Technology). 2023, 63(1): 15-23 https://doi.org/10.16511/j.cnki.qhdxxb.2022.22.044

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