Projekt
Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry
Energy-intensive industries, embedded in many strategic value chains, make up more than half of the energy consumption of the European industry and reducing their CO2 intensity is crucial for meeting the objectives of the Paris agreement. Within EIIs, metallurgy poses a major challenge due to the trade-off that must b…
Energy-intensive industries, embedded in many strategic value chains, make up more than half of the energy consumption of the European industry and reducing their CO2 intensity is crucial for meeting the objectives of the Paris agreement. Within EIIs, metallurgy poses a major challenge due to the trade-off that must be found between maintaining economic profitability, while progressively implementing the required transformations for a greener production. While digitalisation is generating a data deluge, Artificial Intelligence cannot be fully adopted due to limitations to share data between several factories and the heterogeneity of systems that hinders the replicability of AI.
ALCHIMIA aims to build a platform based on Federated Learning and Continual Learning to help big European metallurgy industries unlock the full potential of AI to support the needed transformations to create high-quality, competitive, efficient and green manufacturing processes. The project will address the challenges of the steel sector, creating an innovative system that automates and optimises the production process dynamically with a holistic approach that includes scrap recycling and steelmaking. ALCHIMIA will find an optimal mix to reduce energy consumption, emissions and waste generation of steelmaking while guaranteeing to obtain high-quality products. The replicability and scalability of ALCHIMIA will be enabled through a complementary use case for the manufacturing of automotive parts. The developed system will be used for prognostic optimisation of the mix of input materials charged in the furnaces to obtain a certain product quality that matches the customers' specifications while reducing the environmental impact and the energy consumption. ALCHIMIA will not only seek the optimal mix for the charge of metallurgy furnace, it will also determine the best combination of learning capacities to enable a smooth green transition for all industries thanks to unprecedented collaboration
Themengebiete
- Industrie 4.0 Industrie 4.0 – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
- Mobilität Mobilität – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
- Klima und Umwelt Klima und Umwelt – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
Hochschulen
- VDEH-BETRIEBSFORSCHUNGSINSTITUT GMBH VDEH-BETRIEBSFORSCHUNGSINSTITUT GMBH – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und…
- SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNA SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNA – Hochschule bzw. Forschungseinrichtung mi…
- CARDIFF UNIVERSITY CARDIFF UNIVERSITY – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innovation.
Unternehmen
- COMPANIA ESPANOLA DE LAMINACION SL COMPANIA ESPANOLA DE LAMINACION SL – Unternehmen mit Aktivitäten in Forschung und Innovation.
- FONDERIA DI TORBOLE S.R.L. FONDERIA DI TORBOLE S.R.L. – Unternehmen mit Aktivitäten in Forschung und Innovation.
- CELSA HUTA OSTROWIEC SP Z OO CELSA HUTA OSTROWIEC SP Z OO – Unternehmen mit Aktivitäten in Forschung und Innovation.
- PILENGA BALDASSARRE FOUNDRY SRL PILENGA BALDASSARRE FOUNDRY SRL – Unternehmen mit Aktivitäten in Forschung und Innovation.
- ATOS IT SOLUTIONS AND SERVICES IBERIA SL ATOS IT SOLUTIONS AND SERVICES IBERIA SL – Unternehmen mit Aktivitäten in Forschung und Innovation.
Technologien
- Kreislaufwirtschaft Kreislaufwirtschaft – Überblick über Forschungsprojekte, Förderprojekte und Akteure im TechnologieAtlas.
Förderungen
- HORIZON HORIZON – Förderprogramm mit geförderten Forschungs- und Innovationsprojekten im TechnologieAtlas.