 Driving Factors and Peak Forecasting of Carbon Emissions from Public Buildings Based on LMDI-SDYongkun Wang, Yang Liang, Liangshan Shao and Polinpapilinho Katina Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-10 Abstract: Public buildings, with the increasing level of energy consumption, are a key area of energy conservation and emission reduction in China’s construction industry. In order to reduce carbon emissions of public buildings, realize the targets of energy conservation and emission reduction, the LMDI method is used to construct China’s public building macrocarbon factor decomposition model, identify the main driving factors affecting the change of carbon emissions from public buildings, and build a system dynamics model based on the decomposition results to predict China’s public building carbon emissions peak. The results show that reducing carbon emission coefficient and reducing energy intensity are the main driving factors to restrain the growth of carbon emission from public buildings. Under the base scenario, carbon emissions from public buildings will peak at 1.242 billion tons in 2041. Under the comprehensive regulation of energy structure, economic growth rate, investment level of scientific research and education, and carbon sink capacity, the carbon emissions of public buildings will reach the peak in 2030, and the adjustment of energy structure has a significant impact on the peak and peak time of carbon emissions of public buildings. Date: 2022 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:4958660 DOI: 10.1155/2022/4958660 Access Statistics for this article More articles in Discrete Dynamics in Nature and Society from Hindawi |
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