Driving Factors and Peak Forecasting of Carbon Emissions from Public Buildings Based on LMDI-SD
نویسندگان
چکیده
Public buildings, with the increasing level of energy consumption, are a key area conservation and emission reduction in China’s construction industry. In order to reduce carbon emissions public realize targets reduction, LMDI method is used construct building macrocarbon factor decomposition model, identify main driving factors affecting change from build system dynamics model based on results predict peak. The show that reducing coefficient intensity restrain growth buildings. Under base scenario, buildings will peak at 1.242 billion tons 2041. comprehensive regulation structure, economic rate, investment scientific research education, sink capacity, reach 2030, adjustment structure has significant impact time
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ژورنال
عنوان ژورنال: Discrete Dynamics in Nature and Society
سال: 2022
ISSN: ['1607-887X', '1026-0226']
DOI: https://doi.org/10.1155/2022/4958660