A Dive into the Specific Electric Energy Consumption in Steelworks

  • C. Mocci
  • A. Maddaloni
  • M. Vannucci
  • S. Cateni
  • V. Colla
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)


The paper describes an application of optimization techniques for the minimization of the specific electrical energy consumption related to the production of steel for a steelworks situated in Italy. The major electrical consumption derives from two internal plants: the Electric Arc Furnace and the Ladle Furnace. This work addresses the problem of understanding the best settings (based on predefined models) to produce a specific steel, which is mainly characterized by its steelgrade and quality, with the minimum energy consumption.


Electrical energy Energy savings Steelworks Electric Arc Furnace Ladle Furnace Mathematical modelling Neural Networks Variable selection 



The work described in the present paper has been developed within the project entitled “Application of a factory wide and product related energy database for energy consumption” (Ref. EnergyDB, Contract No. RFSR-CT-2013-00027) that has received funding from the Research Fund for Coal and Steel of the European Union, which is gratefully acknowledged. The sole responsibility of the issues treated in the present paper lies with the authors; the Commission is not responsible for any use that may be made of the information contained therein.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • C. Mocci
    • 1
  • A. Maddaloni
    • 1
  • M. Vannucci
    • 1
  • S. Cateni
    • 1
  • V. Colla
    • 1
  1. 1.ICT-COISP Center, TeCIP InstituteScuola Superiore Sant’ AnnaPisaItaly

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