摘要
工业部门是全球主要的二氧化碳排放来源之一。了解工业部门碳排放量受何种因素影响,有助于针对性地制定优化措施减少碳排放量。同时,预测碳排放量,可以实现对未来碳排放量的管控和调整,并制定出相应的政策措施来引导和规范工业部门的发展。首先,通过对数平均迪氏指数(LMDI)分解法,构建行业碳排放贡献量的计算模型,分析各影响因素对碳排放的贡献量。进一步,结合因素分解法的分析结果,构建人口、财富、技术随机回归(STIRPAT)模型,对工业部门各行业碳排放量进行预测。最后,以我国某地区工业部门为例进行研究,结果验证了所提模型的可行性。
The industrial sector is one of the main sources of global carbon dioxide emissions.Understanding the factors that affect carbon emissions in the industrial sector can help to develop the targeted optimization measures to reduce carbon emissions.Meanwhile,predicting carbon emissions can achieve to control and adjust future carbon emissions,and formulate the corresponding policy measures to guide and regulate the development of the industrial sector.Firstly,a calculation model of the industry's carbon emission contribution is coustructed through the logarithmic mean Divisia index(LMDI)decomposition method,and the contribution of various influencing factors to carbon emissions is analyzed.Further combining the analysis results of factor decomposition method,a stochastic impacts by regression on population,affluence and technology(STIRPAT)model is constructed to predict the carbon emissions of various industries in the industrial sector.Finally,a study is conducted on an industrial sector in a certain region of China,and the results verify the feasibility of the proposed model.
作者
储琳琳
宗明
李沁愉
陈妍君
朱夏
刘亦婷
顾洁
CHU Linlin;ZONG Ming;LI Qinyu;CHEN Yanjun;ZHU Xia;LIU Yiting;GU Jie(Shinan Power Supply Company State Grid Shanghai Electric Power Company,Shanghai 200030,China;School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China)
出处
《电器与能效管理技术》
2023年第10期28-35,共8页
Electrical & Energy Management Technology
基金
国家电网公司科技项目资助(SGSHSN00ZS2202767)。
关键词
碳排放
碳排放贡献量
影响因素分解
对数平均迪氏指数分解法
人口、财富、技术随机回归模型
carbon emissions
carbon emission contribution
decomposition of influencing factors
logarithmic mean Divisia index(LMDI)decomposition method
stochastic impacts by regression on population,affluence and technology(STIRPAT)model
