How China's electricity generation sector can achieve its carbon intensity reduction targets?

被引:41
|
作者
Zhao, Yuhuan [1 ,2 ]
Cao, Ye [1 ,3 ]
Shi, Xunpeng [3 ]
Li, Hao [1 ]
Shi, Qiaoling [1 ]
Zhang, Zhonghua [4 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Sustainable Dev Res Inst Econ & Soc Beijing, Beijing 100081, Peoples R China
[3] Univ Technol Sydney, Australia China Relat Inst, Ultimo, NSW 2007, Australia
[4] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Driving forces; Scenario analysis; Carbon intensity; Electricity generation; 2020/2030; targets; GREENHOUSE-GAS EMISSIONS; COAL-FIRED POWER; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; ENERGY-CONSUMPTION; DRIVING FORCES; DRIVERS; COMBUSTION; PROVINCES; POLICY;
D O I
10.1016/j.scitotenv.2019.135689
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the largest sector with decarbonization potential, electricity generation is critical for achieving carbon intensity reduction targets of China by 2020 and 2030. This study combines temporal decomposition and scenario analysis to identify the key drivers and provinces with increasing carbon intensity of electricity generation (CIE) and designs four scenarios by integrating efficiency improvement and structural adjustment in 30 provinces of China, and estimates the possible reduction of CIE by 2020 and 2030. Results show that 1) CIE in China decreases by 7.25% during 2001-2015. The estimated CIE during 12th FYP in this study is 25% lower than the estimation using IPCC emission factors, which is closer to China's reality. 2) Driving forces of CIE changes in 30 provinces vary greatly across provinces. The increasing CIE in four worse-performance regions (i.e. Northeast, South Coast, Southwest, Northwest) is mainly caused by energy mix effect and geographic distribution effect. The CIE growth in South Coast is also related to thermal power share effect. 3) Both 2020/2030 targets can be achieved by regulating the drivers for CIE growth in 30 provinces (i.e., RAK scenario). CIE decline is concentrated in three types of provinces, namely provinces with large economic size, strong policy support and clean energy implementation. The findings and recommendations provide insights into achieving 2020/2030 targets for CIE reduction. (C) 2019 Elsevier B.V. All rights reserved.
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页数:13
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