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CO2 emissions accounting for the chemical industry: an empirical analysis for China

Author

Listed:
  • Jing-Ming Chen

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Biying Yu

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management
    Sustainable Development Research Institute for Economy and Society of Beijing)

  • Yi-Ming Wei

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management
    Sustainable Development Research Institute for Economy and Society of Beijing)

Abstract

The chemical industry is one of the most important industry sectors in terms of energy consumption and CO2 emissions in China. However, few studies have undertaken accounting of the CO2 emissions in the chemical industry. In addition, there are some shortcomings in the traditional accounting method as a result of poor data availability, such as the incomplete consideration of emission sources and overestimation of actual emissions. Based on the traditional accounting method and the actual situation of the chemical industry, this study proposes a method called the Emission Accounting Model in the Chemical Industry, which covers fossil energy-related emission, indirect emission generated by electricity and heat, carbonate-related process emission and the reuse of CO2. In particular, fossil energy used as feedstock is included. By applying the Emission Accounting Model in the Chemical Industry in China, the calculated CO2 emissions would be 19–30% less than the result from the traditional method. In addition, it is found that the indirect CO2 emissions generated by electricity and heat account for 67% of the total amount, the fossil energy-related emissions account for approximately 37%, the process-related emissions accounted for 2%, and reuse of CO2 accounts for − 6% in 2016. The production of ammonia, ethylene and calcium carbide generated approximately half of the total CO2 emissions in 2016. In addition, in view of emission sources and carbon source flow, two other bottom-up accounting methods are proposed that can take effect when the chemical plant-level data are available.

Suggested Citation

  • Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    • Handle: RePEc:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-019-03589-1
    DOI: 10.1007/s11069-019-03589-1
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    References listed on IDEAS

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    1. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    2. Zhu, Bing & Zhou, Wenji & Hu, Shanying & Li, Qiang & Griffy-Brown, Charla & Jin, Yong, 2010. "CO2 emissions and reduction potential in China’s chemical industry," Energy, Elsevier, vol. 35(12), pages 4663-4670.
    3. Martin, Ralf & de Preux, Laure B. & Wagner, Ulrich J., 2014. "The impact of a carbon tax on manufacturing: Evidence from microdata," Journal of Public Economics, Elsevier, vol. 117(C), pages 1-14.
    4. Ru Li & Bao-Jun Tang, 2016. "Initial carbon quota allocation methods of power sectors: a China case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1075-1089, November.
    5. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
    6. Zhou, Wenji & Zhu, Bing & Li, Qiang & Ma, Tieju & Hu, Shanying & Griffy-Brown, Charla, 2010. "CO2 emissions and mitigation potential in China's ammonia industry," Energy Policy, Elsevier, vol. 38(7), pages 3701-3709, July.
    7. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    8. Broeren, M.L.M. & Saygin, D. & Patel, M.K., 2014. "Forecasting global developments in the basic chemical industry for environmental policy analysis," Energy Policy, Elsevier, vol. 64(C), pages 273-287.
    9. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.
    10. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    11. Chen, Jing-Ming & Yu, Biying & Wei, Yi-Ming, 2018. "Energy technology roadmap for ethylene industry in China," Applied Energy, Elsevier, vol. 224(C), pages 160-174.
    12. Selvakkumaran, Sujeetha & Limmeechokchai, Bundit, 2015. "Low carbon society scenario analysis of transport sector of an emerging economy—The AIM/Enduse modelling approach," Energy Policy, Elsevier, vol. 81(C), pages 199-214.
    13. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    14. Worrell, Ernst & Price, Lynn & Martin, Nathan, 2001. "Energy efficiency and carbon dioxide emissions reduction opportunities in the US iron and steel sector," Energy, Elsevier, vol. 26(5), pages 513-536.
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    2. Anna Christy & Marwa Elnahass & Jaime Amezaga & Anthony Browne & Oliver Heidrich, 2024. "A dynamic framework to align company climate reporting and action with global climate targets," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3103-3128, May.

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