School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, PR China; Special Committee of Building Energy Consumption Statistics, China Association of Building Energy Efficiency, Beijing 100835, PR China.
School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, PR China; Special Committee of Building Energy Consumption Statistics, China Association of Building Energy Efficiency, Beijing 100835, PR China; Energy Analysis and Environmental Impacts Division, Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Sci Total Environ. 2018 Sep 1;634:884-899. doi: 10.1016/j.scitotenv.2018.04.043. Epub 2018 Apr 11.
Energy efficiency in the building sector is expected to contribute >50% 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 re 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 249.07 MtCO, 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 sector were 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 carbon mitigation in the commercial building sector is feasible through applying our model. Furthermore, we consider our contribution as constituting significant guidance for developing the building energy efficiency strategy in China in the upcoming phase.
建筑领域的能源效率预计将为中国 2030 年实现碳达峰的全国性碳减排努力贡献超过 50%,而中国商业建筑碳减排(CMCCB)则是这一努力的指标。然而,CMCCB 评估面临着低效和不足的方法的挑战;因此,我们采取了不同的方法。我们使用中国建筑能耗和碳排放数据库作为数据源,首次采用对数平均迪氏分解法(LMDI),根据中国商业建筑碳排放的卡亚恒等式(Kaya identity),将五个驱动力分解为五个驱动力,以评估 2001-2015 年的 CMCCB 值。研究结果表明:(1)在 2001-2015 年期间,只有两个驱动力(即中国第三产业人均 GDP 的倒数和 CCBCE 强度)对 CCBCE 产生负向贡献,量化的负向贡献表示 CMCCB 值。具体而言,2001-2005 年、2006-2010 年和 2011-2015 年的 CMCCB 值分别为 123.96、252.83 和 249.07 MtCO。(2)CMCCB 值的数据质量控制证明了我们的 CMCCB 评估模型的可靠性,并且还证实了该模型的普遍适用性。(3)中国商业建筑部门能效项目的巨大成就,是 CMCCB 迅速增长的根本原因。总体而言,我们认为我们的模型成功地弥合了全国性 CMCCB 评估的研究差距,并且该模型在省级或中国不同的建筑气候区也同样适用。同时,通过应用我们的模型,对商业建筑部门的碳减排进行全球评估是可行的。此外,我们认为我们的贡献为制定中国下一阶段的建筑能源效率战略提供了重要指导。