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| 基于LMDI分解模型的上海市公共建筑运行碳排放研究 |
| Research on carbon emissions from the operation of public buildings in Shanghai based on LMDI decomposition model |
| 投稿时间：2023-11-28 |
| DOI：10.13259/j.cnki.eri.2025.02.003 |
| 中文关键词: 公共建筑 碳排放 Kaya恒等式 对数平均迪氏指数 减排 |
| 英文关键词:public building carbon emission Kaya identity LMDI emission reduction suggestions |
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| 中文摘要: |
| 公共建筑是建筑业节能减排的重要组成部分。上海作为中国城市化率最高的城市，其公共建筑领域的碳减排问题急需解决。依托上海市统计年鉴数据，利用Kaya恒等式确定了能源结构、建筑能效、经济密度的倒数、经济发展和人口规模5个碳排放量影响因素，基于对数平均迪氏指数（LMDI）分解模型对主要影响因素进行了量化分析。结果表明，第三产业经济发展和人口规模是推动上海市公共建筑碳排放量增加的关键因素，能源结构、经济密度的倒数和建筑能效是抑制碳排放的关键因素。通过厘清上海市公共建筑碳排放的历史演变趋势，挖掘公共建筑节能减排潜力，提出了节能减排建议。 |
| 英文摘要: |
| Public buildings are important components of energy conservation and emission reduction in the construction industry. As the city with the highest urbanization rate in China, Shanghai urgently needs to solve the carbon reduction problem in the field of public buildings. This article relies on the data from the Shanghai Statistical Yearbook and uses Kaya identity to determine five factors that affect carbon emissions: energy structure, building energy efficiency, reciprocal of economic density, economic development, and population size. Based on the LMDI decomposition model, the main influencing factors are quantitatively analyzed. The research results indicate that the development of the tertiary industry economy and population size are key factors driving the increase in carbon emissions from public buildings in Shanghai. Conversely, energy structure, reciprocal of economic density and building energy efficiency are key factors in suppressing carbon emissions. By elucidating the historical evolution trend of carbon emissions from public buildings in Shanghai and exploring the potential for energy conservation and emission reduction in public buildings, this study proposes suggestions for energy conservation and emission reduction in public buildings. |
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