Demonstration of Digital twins for a Green Steel value chain

In context of the transition to low-carbon, green and sustainable steel production in Europe, disruptive technologies to reduce the environmental footprint as close to zero as possible, seamless digitalisation of production processes, and skilled people to co-design and understand the transformation process are necessary.

DiGreeS will address these needs by implementing an integrated digitalisation approach across the steel value chain, enabling better use of process data collected and ensuring the involvement of human experience for easier industrial integration.

The aim of DiGreeS is to develop a user-friendly digital platform for networked production based on novel and soft sensors and related approaches and models to support efficient feedstock verification 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.