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Li J, Peng L, Yan Y, Wang Y, Zhang J, Li M, Xie K. Technological progress and coupling renewables enable substantial environmental and economic benefits from coal-to-olefins. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 353:120225. [PMID: 38330837 DOI: 10.1016/j.jenvman.2024.120225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/20/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
China's growing demand for bulk chemicals and concerns regarding energy security are scaling up coal-to-olefins (CTO) production. Three generations of independent dimethyl ether/methanol-to-olefins technologies have been successively launched with greatly improved production efficiencies. However, to date, widespread concerns regarding the intensive environmental impacts and potential economic risks have not been addressed in the context of this industrialization. Here we show that, through the technological progress from the first to the third generation, life cycle energy consumption, water consumption, and carbon emissions can be reduced to 119.5 GJ/t, 27.6 t/t, and 9.1 t CO2-eq/t, respectively, and human health damage, ecosystem quality damage, and resource scarcity impacts can be decreased by 40.5 %, 50.1 %, and 16.4 %, respectively. This is accompanied by an excellent performance in terms of production cost, net present value, and internal return rate at 792.5 USD/t, 173.4 USD/t, and 19.4 %, respectively. Substantial environmental and economic benefits can be gained by coupling renewables in the form of using green hydrogen from solar and wind power to synthesize methanol. Particularly, life cycle carbon emissions and resource scarcity impacts are reduced by 23.4 % and 22.4 %, respectively, exceeding the reduction in technological progress. However, coupling renewables increases the life cycle energy consumption to 154.5 GJ/t, counteracting the benefits of technological progress. Our results highlight the importance of technological progress and coupled renewables for enhancing the sustainability of the CTO industry.
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Affiliation(s)
- Junjie Li
- Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing, 100044, China; School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China
| | - Lin Peng
- Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing, 100044, China.
| | - Yulong Yan
- Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing, 100044, China.
| | - Yirong Wang
- Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing, 100044, China
| | - Jie Zhang
- Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing, 100044, China
| | - Menggang Li
- National Academy of Economic Security, Beijing Jiaotong University, Beijing, 100044, China; Beijing Laboratory of National Economic Security Early-warning Engineering, Beijing Jiaotong University, Beijing, 100044, China
| | - Kechang Xie
- State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology, Taiyuan, 030024, China
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Qin W, Xie Y. The impact of China's emission trading scheme policy on enterprise green technological innovation quality: evidence from eight high-carbon emission industries. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:103877-103897. [PMID: 37697189 DOI: 10.1007/s11356-023-29590-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/25/2023] [Indexed: 09/13/2023]
Abstract
Emission trading scheme (ETS) is one of the most important ways to mitigate carbon emissions. As the largest carbon emitter in the world, China implemented ETS policy in 2013. Whether ETS policy can boost enterprise green technological innovation (GTI) quality in China remains to be discussed after reviewing the previous studies. All 318 A-share listed enterprises of China's eight high-carbon emission industries from 2008 to 2021 are chosen to investigate the influence of the ETS policy on enterprise GTI quality by the difference-in-difference (DID) method. Furthermore, heterogeneous effects of ETS policy on the quality of enterprise GTI are analyzed from three aspects: enterprise life cycle, corporate environmental management, and industry classification. The findings indicate that China's ETS policy has a positive influence on the quality of GTI in eight high-carbon emission industries. Further heterogeneity analysis demonstrates (1) China's ETS policy has varying effects on the eight high-carbon emission industries; (2) China's ETS policy can improve GTI quality of enterprises in the maturity stage of their life cycle, but not for those in their growth stage. (3) Comparing the effect of China's ETS policy, GTI quality of enterprises with higher environmental management score is stimulated, while GTI quality of those with lower score is not.
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Affiliation(s)
- Wei Qin
- College of Economics of Management, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Yu Xie
- College of Economics of Management, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
- Research Institute of Ecological Civilization with Chinese Characteristics and Forestry Development, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
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Baoliang X, Facun J, Lirui M, Yuanchun Z, Ying X, Hanxu L. Influence of Fe
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‐FeS on the structure of iron‐containing clusters in aluminosilicate melts. ASIA-PAC J CHEM ENG 2023. [DOI: 10.1002/apj.2904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Affiliation(s)
- Xia Baoliang
- School of Chemical Engineering Anhui University of Science and Technology Huainan 232001 China
| | - Jiao Facun
- School of Chemical Engineering Anhui University of Science and Technology Huainan 232001 China
| | - Mao Lirui
- School of Earth and Environment Anhui University of Science and Technology Huainan 232001 China
| | - Zhang Yuanchun
- School of Chemical Engineering Anhui University of Science and Technology Huainan 232001 China
| | - Xie Ying
- School of Chemical Engineering Anhui University of Science and Technology Huainan 232001 China
| | - Li Hanxu
- School of Chemical Engineering Anhui University of Science and Technology Huainan 232001 China
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Revealing reactive mechanism and nitrogen transformation of HSW coal combustions at molecule and particle scales. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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Feng B, Hao L, Deng C, Wang J, Song H, Xiao M, Huang T, Zhu Q, Gai H. A highly hydrothermal stable copper-based catalyst for catalytic wet air oxidation of m-cresol in coal chemical wastewater. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Ma D, Yao Q, Wang J, Hao Q, Chen H, Ma L, Sun M, Ma X. Simple descriptor based machine learning model development for synergy prediction of different metal loadings and solvent swellings on coal pyrolysis. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Li M, Xu J, Xiao H, Liu X, Yu G, Chen X. Exploring influence of MgO/CaO on crystallization characteristics to understand fluidity of synthetic coal slags. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Luo J, Zhou H, Wang Z, Ji M, Meng H, Fang H. Experimental study on flow properties of coal ash slag based on the image measurement method. ASIA-PAC J CHEM ENG 2021. [DOI: 10.1002/apj.2738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jiawei Luo
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering Zhejiang University Hangzhou China
| | - Hao Zhou
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering Zhejiang University Hangzhou China
| | - Zhaowen Wang
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering Zhejiang University Hangzhou China
| | - Mengting Ji
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering Zhejiang University Hangzhou China
| | - Hanxiao Meng
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering Zhejiang University Hangzhou China
| | - Hao Fang
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering Zhejiang University Hangzhou China
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