IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v50y2013icp315-325.html
   My bibliography  Save this article

A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry

Author

Listed:
  • Hasanbeigi, Ali
  • Morrow, William
  • Sathaye, Jayant
  • Masanet, Eric
  • Xu, Tengfang

Abstract

China's annual crude steel production in 2010 was 638.7 Mt accounting for nearly half of the world's annual crude steel production in the same year. Around 461 TWh of electricity and 14,872 PJ of fuel were consumed to produce this quantity of steel. We identified and analyzed 23 energy efficiency technologies and measures applicable to the processes in China's iron and steel industry. Using a bottom-up electricity CSC (Conservation Supply Curve) model, the cumulative cost-effective electricity savings potential for the Chinese iron and steel industry for 2010–2030 is estimated to be 251 TWh, and the total technical electricity saving potential is 416 TWh. The CO2 emissions reduction associated with cost-effective electricity savings is 139 Mt CO2 and the CO2 emission reduction associated with technical electricity saving potential is 237 Mt CO2. The FCSC (Fuel CSC) model for the Chinese iron and steel industry shows cumulative cost-effective fuel savings potential of 11,999 PJ, and the total technical fuel saving potential is 12,139. The CO2 emissions reduction associated with cost-effective and technical fuel savings is 1191 Mt CO2 and 1205 Mt CO2, respectively. In addition, a sensitivity analysis with respect to the discount rate used is conducted.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:50:y:2013:i:c:p:315-325
    DOI: 10.1016/j.energy.2012.10.062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212008493
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2012.10.062?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lin, Boqiang & Wu, Ya & Zhang, Li, 2011. "Estimates of the potential for energy conservation in the Chinese steel industry," Energy Policy, Elsevier, vol. 39(6), pages 3680-3689, June.
    2. Lutsey, Nicholas P., 2008. "Prioritizing Climate Change Mitigation Alternatives: Comparing Transportation Technologies to Options in Other Sectors," Institute of Transportation Studies, Working Paper Series qt5rd41433, Institute of Transportation Studies, UC Davis.
    3. Johansson, Maria T. & Söderström, Mats, 2011. "Options for the Swedish steel industry – Energy efficiency measures and fuel conversion," Energy, Elsevier, vol. 36(1), pages 191-198.
    4. Meier, Alan & Rosenfeld, Arthur H. & Wright, Janice, 1982. "Supply curves of conserved energy for California's residential sector," Energy, Elsevier, vol. 7(4), pages 347-358.
    5. Ma, Jinlong & Evans, David G. & Fuller, Robert J. & Stewart, Donald F., 2002. "Technical efficiency and productivity change of China's iron and steel industry," International Journal of Production Economics, Elsevier, vol. 76(3), pages 293-312, April.
    6. Worrell, Ernst & Laitner, John A & Ruth, Michael & Finman, Hodayah, 2003. "Productivity benefits of industrial energy efficiency measures," Energy, Elsevier, vol. 28(11), pages 1081-1098.
    7. Hasanbeigi, Ali & Menke, Christoph & Therdyothin, Apichit, 2010. "The use of conservation supply curves in energy policy and economic analysis: The case study of Thai cement industry," Energy Policy, Elsevier, vol. 38(1), pages 392-405, January.
    8. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    9. Hasanbeigi, Ali & Price, Lynn & Lu, Hongyou & Lan, Wang, 2010. "Analysis of energy-efficiency opportunities for the cement industry in Shandong Province, China: A case study of 16 cement plants," Energy, Elsevier, vol. 35(8), pages 3461-3473.
    10. Zhang, Jianling & Wang, Guoshun, 2008. "Energy saving technologies and productive efficiency in the Chinese iron and steel sector," Energy, Elsevier, vol. 33(4), pages 525-537.
    11. Arens, Marlene & Worrell, Ernst & Schleich, Joachim, 2012. "Energy intensity development of the German iron and steel industry between 1991 and 2007," Energy, Elsevier, vol. 45(1), pages 786-797.
    12. Ansari, Nastaran & Seifi, Abbas, 2012. "A system dynamics analysis of energy consumption and corrective policies in Iranian iron and steel industry," Energy, Elsevier, vol. 43(1), pages 334-343.
    13. Koomey, Jonathan & Rosenfeld, Arthur H. & Gadgil, Ashok, 1990. "Conservation screening curves to compare efficiency investments to power plants," Energy Policy, Elsevier, vol. 18(8), pages 774-782, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Boqiang & Wang, Xiaolei, 2014. "Promoting energy conservation in China's iron & steel sector," Energy, Elsevier, vol. 73(C), pages 465-474.
    2. Hasanbeigi, Ali & Morrow, William & Masanet, Eric & Sathaye, Jayant & Xu, Tengfang, 2013. "Energy efficiency improvement and CO2 emission reduction opportunities in the cement industry in China," Energy Policy, Elsevier, vol. 57(C), pages 287-297.
    3. Gang Du & Chuanwang Sun, 2015. "Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China," Sustainability, MDPI, vol. 7(6), pages 1-25, June.
    4. He, Feng & Zhang, Qingzhi & Lei, Jiasu & Fu, Weihui & Xu, Xiaoning, 2013. "Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs," Energy Policy, Elsevier, vol. 54(C), pages 204-213.
    5. Wang, Yufei & Li, Huimin & Song, Qijiao & Qi, Ye, 2017. "The consequence of energy policies in China: A case study of the iron and steel sector," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 66-73.
    6. Zhang, Qi & Zhao, Xiaoyu & Lu, Hongyou & Ni, Tuanjie & Li, Yu, 2017. "Waste energy recovery and energy efficiency improvement in China’s iron and steel industry," Applied Energy, Elsevier, vol. 191(C), pages 502-520.
    7. Chen, Wenying & Yin, Xiang & Ma, Ding, 2014. "A bottom-up analysis of China’s iron and steel industrial energy consumption and CO2 emissions," Applied Energy, Elsevier, vol. 136(C), pages 1174-1183.
    8. Fujii, Hidemichi & Kaneko, Shinji & Managi, Shunsuke, 2010. "Changes in environmentally sensitive productivity and technological modernization in China's iron and steel industry in the 1990s," Environment and Development Economics, Cambridge University Press, vol. 15(4), pages 485-504, August.
    9. Bhadbhade, Navdeep & Zuberi, M. Jibran S. & Patel, Martin K., 2019. "A bottom-up analysis of energy efficiency improvement and CO2 emission reduction potentials for the swiss metals sector," Energy, Elsevier, vol. 181(C), pages 173-186.
    10. Andersson, Elias & Karlsson, Magnus & Thollander, Patrik & Paramonova, Svetlana, 2018. "Energy end-use and efficiency potentials among Swedish industrial small and medium-sized enterprises – A dataset analysis from the national energy audit program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 165-177.
    11. Arens, M. & Worrell, E., 2014. "Diffusion of energy efficient technologies in the German steel industry and their impact on energy consumption," Energy, Elsevier, vol. 73(C), pages 968-977.
    12. 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.
    13. Rodrigues da Silva, Rafael & Mathias, Flavio Roberto de Carvalho & Bajay, Sergio Valdir, 2018. "Potential energy efficiency improvements for the Brazilian iron and steel industry: Fuel and electricity conservation supply curves for integrated steel mills," Energy, Elsevier, vol. 153(C), pages 816-824.
    14. Hepburn, Cameron & Teytelboym, Alexander & Cohen, Francois, 2018. "Is Natural Capital Really Substitutable?," INET Oxford Working Papers 2018-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    15. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    16. Lin, Hsin-Chiu & Chan, David Yih-Liang & Lin, Wei-Chun & Hsu, Chung-Hsuan & Hong, Gui-Bing, 2014. "Status of energy conservation in Taiwan's pulp and paper industry," Energy, Elsevier, vol. 73(C), pages 680-685.
    17. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina & Wagner, Fabian & Cofala, Janusz, 2014. "Co-benefits of energy efficiency improvement and air pollution abatement in the Chinese iron and steel industry," Energy, Elsevier, vol. 78(C), pages 333-345.
    18. Hasanbeigi, Ali & Price, Lynn & Lu, Hongyou & Lan, Wang, 2010. "Analysis of energy-efficiency opportunities for the cement industry in Shandong Province, China: A case study of 16 cement plants," Energy, Elsevier, vol. 35(8), pages 3461-3473.
    19. Yang, Wei & Shi, Jinfeng & Qiao, Han & Shao, Yanmin & Wang, Shouyang, 2017. "Regional technical efficiency of Chinese Iron and steel industry based on bootstrap network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 14-24.
    20. Fleiter, Tobias & Fehrenbach, Daniel & Worrell, Ernst & Eichhammer, Wolfgang, 2012. "Energy efficiency in the German pulp and paper industry – A model-based assessment of saving potentials," Energy, Elsevier, vol. 40(1), pages 84-99.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:50:y:2013:i:c:p:315-325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.