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Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry

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  • Mardan, Nawzad
  • Klahr, Roger

Abstract

To face global competition, and also reduce environmental and climate impact, industry-wide changes are needed, especially regarding energy use, which is closely related to global warming. Energy efficiency is therefore an essential task for the future as it has a significant impact on both business profits and the environment. For the analysis of possible changes in industrial production processes, and to choose what changes should be made, various modelling tools can be used as a decision support. This paper uses two types of energy analysis tool: Discrete Event Simulation (DES) and Energy Systems Optimisation (ESO). The aim of this study is to describe how a DES and an ESO tool can be combined. A comprehensive five-step approach is proposed for reducing system costs and making a more robust production system. A case study representing a new investment in part of a Swedish iron foundry is also included to illustrate the method's use. The method described in this paper is based on the use of the DES program QUEST and the ESO tool reMIND. The method combination itself is generic, i.e. other similar programs can be used as well with some adjustments and adaptations.

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  • Mardan, Nawzad & Klahr, Roger, 2012. "Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry," Energy, Elsevier, vol. 44(1), pages 410-419.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:410-419
    DOI: 10.1016/j.energy.2012.06.014
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    Cited by:

    1. Elena Stefana & Paola Cocca & Filippo Marciano & Diana Rossi & Giuseppe Tomasoni, 2019. "A Review of Energy and Environmental Management Practices in Cast Iron Foundries to Increase Sustainability," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    2. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    3. Karlsson, Magnus & Mardan, Nawzad, 2013. "Considering start-ups and shutdowns using an optimisation tool – Including a dairy production planning case study," Applied Energy, Elsevier, vol. 107(C), pages 338-349.
    4. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J., 2013. "Response surface method applied to the thermoeconomic optimization of a complex cogeneration system modeled in a process simulator," Energy, Elsevier, vol. 52(C), pages 44-54.

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