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Driving factors and predictions of CO2 emission in China's coal chemical industry | |
2019-02-10 | |
发表期刊 | JOURNAL OF CLEANER PRODUCTION (IF:9.7[JCR-2023],10.2[5-Year]) |
ISSN | 0959-6526 |
卷号 | 210页码:1131-1140 |
发表状态 | 已发表 |
DOI | 10.1016/j.jclepro.2018.10.352 |
摘要 | As a significant basic industry for the national economic development, coal chemical industry is one of the main contributors to energy consumption and CO2 emission. In this paper, the CO2 emission in the time series of 2020 and 2030 was calculated and the Logarithmic Mean Divisia Index (LMDI) method was employed to explore the driving forces of CO2 emission change. According to the industry development, the CO2 emission in 2020 and 2030 was tentatively predicted. The results show that China's coal chemical industry has experienced a significant increase in CO2 emission, from 177.87 million ton CO2 (MtCO(2)) to 427.19 MtCO(2) in 2005-2015, with an average annual growth rate of 9.16%. Currently, the coal-to-ammonia industry is the largest contributor. According to the decomposition analysis, the economic growth and energy intensity are the two positive factors and the industry structure is a negative factor to carbon emission change. In 2020, the CO2 emission will be 617.34 MtCO(2) under slow development scenario and 759.69 MtCO(2) under rapid development scenario. In 2030, the CO2 emission will reach 1041.90 MtCO(2) and 1440.13 MtCO(2) under slow and fast development scenarios, respectively. The coal-to-olefins industry will take the place of coal-to-ammonia and turn to be the largest one in 2020 and 2030 if no CO2 capture, utilization and storage (CCUS) technologies are adopted. It is probable that the contribution from coal-to-methanol will also play important role for CO2 emission due to its rapid development. In addition, by 2030, if coal-to-natural gas industry develops as planned, its CO2 emission will significantly increase, which has the potential to be equivalent to that of olefins industry. (C) 2018 Elsevier Ltd. All rights reserved. |
关键词 | CO2 emission Coal chemical industry Driving factors Scenario method |
收录类别 | SCI ; SCIE ; EI ; SSCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[51778601] |
WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
WOS类目 | Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences |
WOS记录号 | WOS:000456762600102 |
出版者 | ELSEVIER SCI LTD |
EI入藏号 | 20184806154221 |
EI主题词 | Ammonia ; Carbon dioxide ; Chemical industry ; Coal ; Coal industry ; Coal storage ; Energy utilization ; Gas industry ; Growth rate ; Olefins |
EI分类号 | Gas Fuels:522 ; Solid Fuels:524 ; Energy Utilization:525.3 ; Organic Compounds:804.1 ; Inorganic Compounds:804.2 ; Chemical Engineering, General:805 ; Industrial Economics:911.2 |
WOS关键词 | CARBON EMISSIONS ; DECOMPOSITION ANALYSIS ; ENERGY-CONSUMPTION ; GHG EMISSIONS ; LMDI ; REDUCTION ; AMMONIA ; SECTOR |
原始文献类型 | Article |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29098 |
专题 | 物质科学与技术学院_特聘教授组_魏伟组 |
通讯作者 | Shen, Qun; Wei, Wei |
作者单位 | 1.Chinese Acad Sci, Key Lab Low Carbon Convers Sci & Engn, Shanghai 201210, Peoples R China 2.Shanghai Univ, Sch Environm & Chem Engn, Shanghai 200949, Peoples R China 3.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai Carbon Data Res Ctr, Shanghai 201210, Peoples R China 4.Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Urban Atmospher Environm, Xiamen 361021, Peoples R China 5.ShanghaiTech Univ, 100 Haike Rd, Shanghai 201210, Peoples R China |
通讯作者单位 | 上海科技大学 |
推荐引用方式 GB/T 7714 | Zhang, Lingyun,Shen, Qun,Wang, Minquan,et al. Driving factors and predictions of CO2 emission in China's coal chemical industry[J]. JOURNAL OF CLEANER PRODUCTION,2019,210:1131-1140. |
APA | Zhang, Lingyun.,Shen, Qun.,Wang, Minquan.,Sun, Nannan.,Wei, Wei.,...&Wang, Yangjun.(2019).Driving factors and predictions of CO2 emission in China's coal chemical industry.JOURNAL OF CLEANER PRODUCTION,210,1131-1140. |
MLA | Zhang, Lingyun,et al."Driving factors and predictions of CO2 emission in China's coal chemical industry".JOURNAL OF CLEANER PRODUCTION 210(2019):1131-1140. |
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