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Energy technology roadmap for ethylene industry in China

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  • Chen, Jing-Ming
  • Yu, Biying
  • Wei, Yi-Ming

Abstract

Ethylene production increases rapidly in recent years in China, which promotes the growth of energy consumption and CO2 emissions. Ethylene industry is a technology-intensive industry, for which steam cracking, coal to olefins and methanol to olefins are three main production ways. In view of energy-efficient and low-carbon technology selection, this study aims to find a suitable roadmap to achieve the targets under current policies for China’s ethylene industry by utilizing National Energy Technology model. With this roadmap, we find that the policy goal for steam cracking could be achieved and the energy consumption and CO2 emissions of producing one-ton ethylene could decrease effectively. Specifically, for producing per ton ethylene, energy consumption could be reduced by 16.8% and 17.1% in 2030 compared to 2015 for steam cracking and coal to olefins respectively, and the values of CO2 emissions are 18.1% and 14.8%. In addition, this study makes a discussion about how to achieve a more sustainable development for ethylene industry in China and it is found that both of energy consumption and CO2 emissions could be reduced by about 20% in 2030 compared to the reference scenario. It is proposed that structure of feedstock in steam cracking could be optimized with more light materials and ethylene producing ways need to be planned well. Especially, environmental effect of coal to olefins should be taken into consideration in its process of development. Steam cracking with ethane and methanol to olefins with imported methanol could be encouraged as they can reduce energy consumption and CO2 emission directly.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:224:y:2018:i:c:p:160-174
    DOI: 10.1016/j.apenergy.2018.04.051
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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. 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.
    4. Boulamanti, Aikaterini & Moya, Jose A., 2017. "Production costs of the chemical industry in the EU and other countries: Ammonia, methanol and light olefins," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1205-1212.
    5. Hasanbeigi, Ali & Morrow, William & Sathaye, Jayant & Masanet, Eric & Xu, Tengfang, 2013. "A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry," Energy, Elsevier, vol. 50(C), pages 315-325.
    6. Selvakkumaran, Sujeetha & Limmeechokchai, Bundit & Masui, Toshihiko & Hanaoka, Tatsuya & Matsuoka, Yuzuru, 2015. "A quantitative analysis of Low Carbon Society (LCS) measures in Thai industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 178-195.
    7. Pardo, Nicolás & Moya, José Antonio & Mercier, Arnaud, 2011. "Prospective on the energy efficiency and CO2 emissions in the EU cement industry," Energy, Elsevier, vol. 36(5), pages 3244-3254.
    8. Xiang, Dong & Qian, Yu & Man, Yi & Yang, Siyu, 2014. "Techno-economic analysis of the coal-to-olefins process in comparison with the oil-to-olefins process," Applied Energy, Elsevier, vol. 113(C), pages 639-647.
    9. Kainuma, Mikiko & Matsuoka, Yuzuru & Morita, Tsuneyuki, 2000. "The AIM/end-use model and its application to forecast Japanese carbon dioxide emissions," European Journal of Operational Research, Elsevier, vol. 122(2), pages 416-425, April.
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