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Optimisation of a centralised recycling system for steel plant by-products, a logistics perspective

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  • Lundkvist, Katarina
  • Larsson, Mikael
  • Samuelsson, Caisa

Abstract

This paper focuses on the optimisation of a recovery strategy for waste materials and thereby improved material efficiency in the iron and steel industry. A joint venture between four Nordic steel plants is considered in order to recycle materials otherwise mainly put to landfill, i.e. dusts and sludges from the steel production processes. Process integration (PI) was used to investigate the possibilities for recovering the materials by developing a system optimisation model of the steel plants and integrating a dedicated material upgrading process in the system. This work aims to develop a model suitable for analysing and finding a logistic solution needed to achieve a common recycling system by studying material supply, required material storage, shipping system and shipping frequency. The developed optimisation model is presented, using a case study of the steel production plants with the dedicated upgrading process and the logistics system. The prospect for shipping materials from the steel production sites to the material upgrading process site as well as the material supply to the upgrading unit is essential in the system analysis. A mathematical optimisation model based on mixed-integer linear programming (MILP) for the common system is presented. The integration of the dedicated material upgrading process show a system in balance regarding the materials generated and processed in the upgrading unit. Generated material amounts suitable for the upgrading process can be fully recovered thereby decreasing the landfilled amounts from the four steel production sites.

Suggested Citation

  • Lundkvist, Katarina & Larsson, Mikael & Samuelsson, Caisa, 2013. "Optimisation of a centralised recycling system for steel plant by-products, a logistics perspective," Resources, Conservation & Recycling, Elsevier, vol. 77(C), pages 29-36.
    • Handle: RePEc:eee:recore:v:77:y:2013:i:c:p:29-36
    DOI: 10.1016/j.resconrec.2013.04.012
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    References listed on IDEAS

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    1. Gielen, Dolf & Moriguchi, Yuichi, 2002. "CO2 in the iron and steel industry: an analysis of Japanese emission reduction potentials," Energy Policy, Elsevier, vol. 30(10), pages 849-863, August.
    2. Logožar, Klavdij & Radonjič, Gregor & Bastič, Majda, 2006. "Incorporation of reverse logistics model into in-plant recycling process: A case of aluminium industry," Resources, Conservation & Recycling, Elsevier, vol. 49(1), pages 49-67.
    3. Shih, Li-Hsing, 1997. "Planning of fuel coal imports using a mixed integer programming method," International Journal of Production Economics, Elsevier, vol. 51(3), pages 243-249, September.
    4. Blumenfeld, Dennis E. & Burns, Lawrence D. & Diltz, J. David & Daganzo, Carlos F., 1985. "Analyzing trade-offs between transportation, inventory and production costs on freight networks," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 361-380, October.
    5. Das, B. & Prakash, S. & Reddy, P.S.R. & Misra, V.N., 2007. "An overview of utilization of slag and sludge from steel industries," Resources, Conservation & Recycling, Elsevier, vol. 50(1), pages 40-57.
    6. van Dyken, Silke & Bakken, Bjorn H. & Skjelbred, Hans I., 2010. "Linear mixed-integer models for biomass supply chains with transport, storage and processing," Energy, Elsevier, vol. 35(3), pages 1338-1350.
    7. Tari, Mehrdad Heidari & Soderstrom, Mats, 2002. "Optimisation modelling of industrial energy systems using MIND introducing the effect of material storage," European Journal of Operational Research, Elsevier, vol. 142(2), pages 419-433, October.
    8. Karlsson, Magnus, 2011. "The MIND method: A decision support for optimization of industrial energy systems - Principles and case studies," Applied Energy, Elsevier, vol. 88(3), pages 577-589, March.
    9. Hara, Takuya & Shima, Hirokazu & Yoshida, Yoshikuni & Matsuhashi, Ryuji, 2007. "Model analysis of an inter-industrial and inter-regional waste recycling system in Japan," Energy, Elsevier, vol. 32(4), pages 609-618.
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    1. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.

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