Steel industry today looks for important savings in order to keep its competitiveness. One of the most affecting factor is the cost of energy, especially for the electric arc furnace (EAF) process where the energy cost could raise up to 40% of the final gross price. Based on the opportunities offered from energy markets is possible to reduce this cost in a significant way. This paper presents an integrated system for the optimization of the power purchase of a steelworks. The system consists in a series of tools interacting together in order to forecast the electric consumption of the plant basing on the planned production, identify possible deals over the markets and supporting the bidding strategy. A real life example is presented and discussed.
An Innovative Model for Supporting Energy-based Cost Reduction in Steel Manufacturing Industry Using Online Real-time Simulation
DAMIANI, LORENZO;GIRIBONE, PIETRO;REVETRIA, ROBERTO;TESTA, ALESSANDRO
2014-01-01
Abstract
Steel industry today looks for important savings in order to keep its competitiveness. One of the most affecting factor is the cost of energy, especially for the electric arc furnace (EAF) process where the energy cost could raise up to 40% of the final gross price. Based on the opportunities offered from energy markets is possible to reduce this cost in a significant way. This paper presents an integrated system for the optimization of the power purchase of a steelworks. The system consists in a series of tools interacting together in order to forecast the electric consumption of the plant basing on the planned production, identify possible deals over the markets and supporting the bidding strategy. A real life example is presented and discussed.
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