Emission reduction analysis of China's building operations from provincial perspective: Factor decomposition and peak prediction

被引:16
|
作者
Li, Yan [1 ,2 ]
Wang, Jiangfeng [1 ]
Deng, Bohao [1 ]
Liu, Bin [1 ,3 ]
Zhang, Lei [1 ,2 ]
Zhao, Pan [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R China
[2] Construct & Dev Serv Ctr Lintong New Area, Xian 710600, Peoples R China
[3] Sinopec Green Energy Geothermal Dev Co Ltd, Xiongan 071800, Peoples R China
基金
中国国家自然科学基金;
关键词
Building operations in China; Provincial disparities; Generalized Divisia index; Monte Carlo simulation; Drivers of CO 2 emission change; Trajectories of CO 2 emissions; ENVIRONMENTAL KUZNETS CURVE; CARBON-DIOXIDE EMISSIONS; AFFECTING CO2 EMISSIONS; LIFE-CYCLE ENERGY; SCENARIO ANALYSIS; DRIVING FORCES; CONSUMPTION; SECTOR; ABATEMENT; GROWTH;
D O I
10.1016/j.enbuild.2023.113366
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Carbon emissions from building operations have a critical impact on achieving carbon peaking goal in China. However, the provincial emission performance in building operations are quite different and it is still uniden-tified how they affect the national emission change and peaking target, making national emission reduction target hard to implement at the provincial level. This paper explores the driving factors leading to emission changes and examines the prospective emission peaks in China and China's provinces by adopting generalized Divisia index method (GDIM) and the combination of scenario analysis and Monte Carlo simulation. Further-more, the regional emission heterogeneity and the contribution of provinces to the change and peak of national emissions are discussed to identify regions and provinces that should be focused on emission monitoring. Results show that in China and most Chinese provinces, energy consumption of commercial buildings, energy con-sumption and floor space of urban residential buildings besides income improvement, and the per capita CO2 emissions of rural residential buildings contributed greatly to emission growth. Under current policies, com-mercial and urban residential buildings in most provinces would fail to reach their emission peaks ahead of schedule. The urban residential buildings in the northern region, commercial and rural residential buildings in the eastern region caused higher CO2 emissions. At the provincial level, Shandong, Shanxi and Hebei made the top contribution to total emissions of commercial, urban residential and rural residential buildings, respectively. Shandong and the provinces in north China of urban residential buildings and four provinces including Shan-dong, Guangdong, Hebei and Zhejiang of commercial and rural residential buildings had the significant impact on the uncertainty of the peaking time of CO2 emissions. These findings provide a strong decision-making reference for Chinese government to formulate targeted regional emission reduction policies in building operations.
引用
收藏
页数:12
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