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CO2 emissions and reduction potential in China’s chemical industry

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  • Zhu, Bing
  • Zhou, Wenji
  • Hu, Shanying
  • Li, Qiang
  • Griffy-Brown, Charla
  • Jin, Yong

Abstract

GHG (Increasing greenhouse gas) emissions in China imposes enormous pressure on China’s government and society. The increasing GHG trend is primarily driven by the fast expansion of high energy-intensive sectors including the chemical industry. This study investigates energy consumption and CO2 emissions in the processes of chemical production in China through calculating the amounts of CO2 emissions and estimating the reduction potential in the near future. The research is based on a two-level perspective which treats the entire industry as Level one and six key sub-sectors as Level two, including coal-based ammonia, calcium carbide, caustic soda, coal-based methanol, sodium carbonate, and yellow phosphorus. These two levels are used in order to address the complexity caused by the fact that there are more than 40 thousand chemical products in this industry and the performance levels of the technologies employed are extremely uneven. Three scenarios with different technological improvements are defined to estimate the emissions of the six sub-sectors and analyze the implied reduction potential in the near future. The results highlight the pivotal role that regulation and policy administration could play in controlling the CO2 emissions by promoting average technology performances in this industry.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:12:p:4663-4670
    DOI: 10.1016/j.energy.2010.09.038
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    References listed on IDEAS

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    4. Hongtao Ren & Wenji Zhou & Marek Makowski & Hongbin Yan & Yadong Yu & Tieju Ma, 2021. "Incorporation of life cycle emissions and carbon price uncertainty into the supply chain network management of PVC production," Annals of Operations Research, Springer, vol. 300(2), pages 601-620, May.
    5. Juan Wang & Tao Zhao & Xiaohu Zhang, 2017. "Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis," 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. 88(3), pages 1655-1675, September.
    6. Yue, Hui & Worrell, Ernst & Crijns-Graus, Wina, 2018. "Modeling the multiple benefits of electricity savings for emissions reduction on power grid level: A case study of China’s chemical industry," Applied Energy, Elsevier, vol. 230(C), pages 1603-1632.
    7. 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.
    8. Pan, Lingying & Liu, Pei & Li, Zheng, 2017. "A system dynamic analysis of China’s oil supply chain: Over-capacity and energy security issues," Applied Energy, Elsevier, vol. 188(C), pages 508-520.
    9. Zhang, You & Yuan, Zengwei & Margni, Manuele & Bulle, Cécile & Hua, Hui & Jiang, Songyan & Liu, Xuewei, 2019. "Intensive carbon dioxide emission of coal chemical industry in China," Applied Energy, Elsevier, vol. 236(C), pages 540-550.
    10. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
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    12. Saygin, D. & Worrell, E. & Patel, M.K. & Gielen, D.J., 2011. "Benchmarking the energy use of energy-intensive industries in industrialized and in developing countries," Energy, Elsevier, vol. 36(11), pages 6661-6673.

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