SOURCE-LINKED INTELLIGENCE

Demonstration of Digital twins for a Green Steel value chain

CORDIS · observation · Publication date unknown

and real-time control of electric arc furnace crude steel production, increasing process yield while improving the quality of intermediate and final steel products. In this context, the potential of artificial intelligence techniques will be fully exploited to support the optimal use of industrial data, and different scenarios specific to each use case will be modelled. The digital platform will be implemented and verified in industrial process lines of the three use cases: scrap/secondary raw material verification, optimisation of the electric arc furnace processes and optimisation of the levelling of steel sheets. DiGreeS aims to improve the quality of crude steel and finished products, optimize scrap usage, and improve energy efficiency in the steel production process. DiGreeS has the potential to save up to €800 million in costs annually and reduce CO2 emissions from the steelmaking industry by up to 6 million tonnes per year. steel production; electric arc furnace; heavy melting scrap; steel sheets; novel sensors; digitalization

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recordType

award

status

SIGNED

region

EU

value

4998217.45

unit

EUR