SOURCE-LINKED INTELLIGENCE

Pioneering Sustainable Recovery in Steelmaking: Hydrogen-Based Technology for Byproduct Management

CORDIS · observation · Publication date unknown

ototype rotary kiln that enables optimized heat transfer and gas-solid interactions, ensuring effective metal recovery. A key aspect of the Dust2Value project is the integration of digitalization and machine learning techniques for process modelling and optimization. The project will leverage machine learning algorithms trained on kinetic data from thermogravimetry to create an accurate and comprehensive process model. This model will be used for the dimensioning of the prototype and will be further developed into a digital twin, providing a real-time representation of the physical process. The digital twin will enable continuous monitoring, analysis, and optimization of the process, ensuring optimal performance, and facilitating the rapid implementation of improvements. This advanced approach to process modelling will significantly enhance the Dust2Value process optimisation, driving innovation in the field of steelmaking residue recycling. Circular Industry, Hydrogen Reduction Technology, Heat Recovery, Hydrogen Recovery, Steelmaking Residue Recycling, CO2 Emission Reduction

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

4602250

unit

EUR