Assessing the technology impact for industry carbon density reduction in China based on C3IAM-Tice

Mingquan Wang, Lingyun Zhang, Xin Su, Yang Lei, Qun Shen, Wei Wei () and Maohua Wang ()
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Mingquan Wang: Chinese Academy of Sciences
Lingyun Zhang: Shanghai University
Xin Su: Chinese Academy of Sciences
Yang Lei: Chinese Academy of Sciences
Qun Shen: Chinese Academy of Sciences
Wei Wei: Chinese Academy of Sciences
Maohua Wang: Chinese Academy of Sciences

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 99, issue 3, No 17, 1455-1468

Abstract: Abstract Thermal power, steel, cement, and coal chemical industries account 62.6% energy consumption and 84.6% carbon emissions of China simultaneously in 2015. This research use C3IAM-Tice model to analyze the impact of advanced technologies ratio increasing quantitatively. The model can explore the balance of emission reduction and economy efficiency of energy use, finally got the technology structure optimization for these four industries. The paper uses the historical energy consumption and CO2 emission, combing with the low-carbon developing goal objection, to create the database for these four energy- and carbon-intensive industries. As the result, the scenario-4, which is the most advanced technology-oriented strategy, shows 282 Mt CO2 emission reductions for the 2020 Goal. In this scenario, 26.19%, 47.43%, 65.39%, and 28.98% of the CO2 emissions per unit of added value in thermal power industry, steel industry, cement industry, and coal chemical industry could be reduced comparing with data in 2005. Although the advanced technology-oriented strategy shows the positive impact, we need to consider the cost of elimination of existed technology. On the other hand, the paper notices the future technology, with new energy alternative, low-carbon economy development, and industry restructure together, which are important factors for the low-carbon development of China.

Keywords: C3IAM-Tice; Carbon reduction; Industry (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11069-018-3484-8

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