Nowadays the price of electricity depends on many factors; the introduction of renewable energy sources has changed the basics of electricity production and the determination of energy price. Iron and steel industries have the necessity to forecast the power amount they are going to spend: today production planning is performed without taking into account that the difference in electricity price between night and day can overcome 500%. The aim of this work is to create a model able to estimate energy requirements for iron and steel industry; the model correctness is assessed, for both energy and power analysis, by comparison with real data. The provisional planning tool is employed to provide data to a computer platform able to assess, on the basis of required energy, the best market on which power can be purchased in view of a money saving for the Company.

Models to Estimate Energy Requirements for Iron and Steel Industry: Application Case for Electric Steelworks / Fiorani, Giulia; Damiani, Lorenzo; Revetria, Roberto; Giribone, Pietro; Schenone, Maurizio. - STAMPA. - II:(2017), pp. 920-924. (Intervento presentato al convegno The World Congress on Engineering and Computer Science 2017 tenutosi a San Francisco, USA nel October 25-27, 2017).

Models to Estimate Energy Requirements for Iron and Steel Industry: Application Case for Electric Steelworks

Maurizio Schenone
2017

Abstract

Nowadays the price of electricity depends on many factors; the introduction of renewable energy sources has changed the basics of electricity production and the determination of energy price. Iron and steel industries have the necessity to forecast the power amount they are going to spend: today production planning is performed without taking into account that the difference in electricity price between night and day can overcome 500%. The aim of this work is to create a model able to estimate energy requirements for iron and steel industry; the model correctness is assessed, for both energy and power analysis, by comparison with real data. The provisional planning tool is employed to provide data to a computer platform able to assess, on the basis of required energy, the best market on which power can be purchased in view of a money saving for the Company.
2017
978-988-14048-4-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2693190
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