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A bottom-up analysis of energy efficiency improvement and CO2 emission reduction potentials for the swiss metals sector

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  • Bhadbhade, Navdeep
  • Zuberi, M. Jibran S.
  • Patel, Martin K.

Abstract

The Swiss metals sector, comprised of manufacturing basic metals and fabricated metal products, is responsible for nearly 14% of total final energy (TFE) demand of the Swiss industry, making it one of the major energy consuming industrial sectors. This study investigates the current potential for energy efficiency (EE) improvement and CO2 abatement in the Swiss metals sector by means of bottom-up cost curves. Based on the comparison of Specific Energy Consumption for the processes applied in the Swiss metals sector with those of the best available techniques, the maximum technical EE potential for Swiss metals sector is estimated at 19%, while the economic EE potential is in the range of 11%–15%. The corresponding economic CO2 abatement potential is estimated at 6%. Among all measures, EE improvement of the rolling process was found to have the largest potential for TFE savings in the Swiss metals sector. The detailed insight into the EE gap and techno-economically feasible EE improvement solutions for the Swiss metals sector identified in this study will help to overcome the techno-economic barriers in implementing best practices in the high value-added metals sector.

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  • 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.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:173-186
    DOI: 10.1016/j.energy.2019.05.172
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    as
    1. Remer, Donald S. & Mattos, Fernando B., 2003. "Cost and scale-up factors, international inflation indexes and location factors," International Journal of Production Economics, Elsevier, vol. 84(1), pages 1-16, April.
    2. Lu, Shyi-Min & Lu, Ching & Tseng, Kuo-Tung & Chen, Falin & Chen, Chen-Liang, 2013. "Energy-saving potential of the industrial sector of Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 674-683.
    3. 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.
    4. Zuberi, M. Jibran S. & Tijdink, Anton & Patel, Martin K., 2017. "Techno-economic analysis of energy efficiency improvement in electric motor driven systems in Swiss industry," Applied Energy, Elsevier, vol. 205(C), pages 85-104.
    5. Li, Yuan & Zhu, Lei, 2014. "Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector," Applied Energy, Elsevier, vol. 130(C), pages 603-616.
    6. He, Kun & Wang, Li, 2017. "A review of energy use and energy-efficient technologies for the iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1022-1039.
    7. 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.
    8. Karali, Nihan & Xu, Tengfang & Sathaye, Jayant, 2014. "Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 120(C), pages 133-146.
    9. 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.
    10. Worrell, Ernst & Price, Lynn, 2001. "Policy scenarios for energy efficiency improvement in industry," Energy Policy, Elsevier, vol. 29(14), pages 1223-1241, November.
    11. Brunke, Jean-Christian & Blesl, Markus, 2014. "A plant-specific bottom-up approach for assessing the cost-effective energy conservation potential and its ability to compensate rising energy-related costs in the German iron and steel industry," Energy Policy, Elsevier, vol. 67(C), pages 431-446.
    12. 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.
    13. Pardo, Nicolás & Moya, José Antonio, 2013. "Prospective scenarios on energy efficiency and CO2 emissions in the European Iron & Steel industry," Energy, Elsevier, vol. 54(C), pages 113-128.
    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.
    15. Quader, M. Abdul & Ahmed, Shamsuddin & Ghazilla, Raja Ariffin Raja & Ahmed, Shameem & Dahari, Mahidzal, 2015. "A comprehensive review on energy efficient CO2 breakthrough technologies for sustainable green iron and steel manufacturing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 594-614.
    Full references (including those not matched with items on IDEAS)

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