What drives the carbon mitigation in Chinese commercial building sector? Evidence from decomposing an extended Kaya identity

被引:133
作者
Ma, Minda [1 ,2 ]
Cai, Weiguang [1 ,2 ,3 ]
机构
[1] Chongqing Univ, Sch Construct Management & Real Estate, Chongqing 400045, Peoples R China
[2] China Assoc Bldg Energy Efficiency, Special Comm Bldg Energy Consumpt Stat, Beijing 100835, Peoples R China
[3] Lawrence Berkeley Natl Lab, Energy Technol Area, Energy Anal & Environm Impacts Div, Berkeley, CA 94720 USA
关键词
Carbon mitigation; Commercial building sector; China Database of Building Energy Consumption; and Carbon Emissions; LMDI-I decomposition analysis; Kaya identity; RESIDENTIAL ENERGY-CONSUMPTION; MODEL-BASED METHODOLOGY; KEY IMPACT FACTORS; TIME-SERIES DATA; CO2; EMISSIONS; LMDI DECOMPOSITION; DRIVING FACTORS; REDUCTION; URBAN; PERFORMANCE;
D O I
10.1016/j.scitotenv.2018.04.043
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy efficiency in the building sector is expected to contribute N50% to the nationwide carbon mitigation efforts for achieving China's carbon emission peak in 2030, and carbon mitigation in Chinese commercial buildings (CMCCB) is an indicator of this effort. However, the CMCCB assessment has faced the challenge of ineffective and inadequate approaches; therefore, we have followed a different approach. Using the China Database of Building Energy Consumption and Carbon Emissions as our data source, our study is the first to employ the Logarithmic Mean Divisia Index (LMDI) to decompose five driving forces from the Kaya identity of Chinese commercial building carbon emissions (CCBCE) to assess the CMCCB values in 2001-2015. The results of our study indicated that: (1) Only two driving forces (i.e., the reciprocal of GDP per capita of Tertiary Industry in China and the CCBCE intensity) contributed negatively remi to CCBCE during 2001-2015, and the quantified negative contributions denoted the CMCCB values. Specifically, the CMCCB values in 2001-2005, 2006-2010, and 2011-2015 were 123.96, 252.83, and 249.07MtCO2, respectively. (2) The data quality control involving the CMCCB values proved the reliability of our CMCCB assessment model, and the universal applicability of this model was also confirmed. (3) The substantial achievements of the energy efficiency project in the Chinese commercial building sectorwere the root cause of the rapidly growing CMCCB. Overall, we believe that our model successfully bridges the research gap of the nationwide CMCCB assessment and that the proposed model is also suitable either at the provincial level or in different building climate zones in China. Meanwhile, a global-level assessment of the carbonmitigation in the commercial building sector is feasible through applying ourmodel. Furthermore, we consider our contribution as constituting significant guidance for developing the building energy efficiency strategy in China in the upcoming phase. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:884 / 899
页数:16
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