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Uncovering driving forces on greenhouse gas emissions in China’ aluminum industry from the perspective of life cycle analysis

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  • Liu, Zhe
  • Geng, Yong
  • Adams, Michelle
  • Dong, Liang
  • Sun, Lina
  • Zhao, Jingjing
  • Dong, Huijuan
  • Wu, Jiao
  • Tian, Xu

Abstract

With the rapid growth of aluminum production, reducing greenhouse gas (GHG) emissions in China’s aluminum industry (CAI) is posing a significant challenge. In this study, the energy-related GHG emission trajectories, features and driving forces of CAI are analyzed from the perspective of life cycle analysis (LCA) from 2004 to 2013. Results indicate that CAI experienced a rapid growth of energy-related GHG emissions with an average annual growth of 28.5 million tons CO2e from 2004 to 2013. Energy-scale effect is the main driving force for energy-related GHG emissions increase in CAI, while emission-factor effect of secondary aluminum production plays a marginal effect. Construction and transportation-related activities account for the bulk of the embodied emissions, accounting for more than 40% of the total embodied emissions from CAI. Policy implications for GHG mitigation within the CAI, such as developing secondary aluminum industry, improving energy mix and optimizing resource efficiency of production, are raised.

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  • Liu, Zhe & Geng, Yong & Adams, Michelle & Dong, Liang & Sun, Lina & Zhao, Jingjing & Dong, Huijuan & Wu, Jiao & Tian, Xu, 2016. "Uncovering driving forces on greenhouse gas emissions in China’ aluminum industry from the perspective of life cycle analysis," Applied Energy, Elsevier, vol. 166(C), pages 253-263.
    • Handle: RePEc:eee:appene:v:166:y:2016:i:c:p:253-263
    DOI: 10.1016/j.apenergy.2015.11.075
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    as
    1. Alberini, Anna & Bigano, Andrea, 2015. "How effective are energy-efficiency incentive programs? Evidence from Italian homeowners," Energy Economics, Elsevier, vol. 52(S1), pages 76-85.
    2. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    3. Ren, Jingzheng & Tan, Shiyu & Goodsite, Michael Evan & Sovacool, Benjamin K. & Dong, Lichun, 2015. "Sustainability, shale gas, and energy transition in China: Assessing barriers and prioritizing strategic measures," Energy, Elsevier, vol. 84(C), pages 551-562.
    4. Hao, Han & Geng, Yong & Hang, Wen, 2016. "GHG emissions from primary aluminum production in China: Regional disparity and policy implications," Applied Energy, Elsevier, vol. 166(C), pages 264-272.
    5. Li, Tianxiang & Hassan, Mohamed & Kuwana, Kazunori & Saito, Kozo & King, Paul, 2006. "Performance of secondary aluminum melting: Thermodynamic analysis and plant-site experiments," Energy, Elsevier, vol. 31(12), pages 1769-1779.
    6. Ang, B.W. & Xu, X.Y., 2013. "Tracking industrial energy efficiency trends using index decomposition analysis," Energy Economics, Elsevier, vol. 40(C), pages 1014-1021.
    7. Huanbo Zhang & Ye Qi, 2011. "A Structure Decomposition Analysis of China’s Production-Source CO 2 Emission: 1992–2002," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(1), pages 65-77, May.
    8. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    9. AkbostancI, Elif & Tunç, Gül Ipek & Türüt-AsIk, Serap, 2011. "CO2 emissions of Turkish manufacturing industry: A decomposition analysis," Applied Energy, Elsevier, vol. 88(6), pages 2273-2278, June.
    10. Tian, Yihui & Zhu, Qinghua & Geng, Yong, 2013. "An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry," Energy Policy, Elsevier, vol. 56(C), pages 352-361.
    11. Lindner, Soeren & Liu, Zhu & Guan, Dabo & Geng, Yong & Li, Xin, 2013. "CO2 emissions from China’s power sector at the provincial level: Consumption versus production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 164-172.
    12. Liu, Liru & Aye, Lu & Lu, Zhongwu & Zhang, Peihong, 2006. "Analysis of the overall energy intensity of alumina refinery process using unit process energy intensity and product ratio method," Energy, Elsevier, vol. 31(8), pages 1167-1176.
    13. Du, J.D. & Han, W.J. & Peng, Y.H. & Gu, C.C., 2010. "Potential for reducing GHG emissions and energy consumption from implementing the aluminum intensive vehicle fleet in China," Energy, Elsevier, vol. 35(12), pages 4671-4678.
    Full references (including those not matched with items on IDEAS)

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