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

Industrial symbiosis (IS) has gain great attention in the last years due to its high potential for energy and resources savings. However, there is still a need for enhancing the knowledge base for IS in Europe, especially in what regards to the implementation and operation phases, which must be supported by harmonised frameworks and data reporting structures that ensure data accuracy and comparability in existing and new IS initiatives. Under this framework, CORALIS has been designed as a demonstration project for the generation of real experiences on the deployment of IS solutions and the overcoming of the barriers faced by these initiatives. In order to properly address this complex issue, CORALIS will address three factors (technical, managerial and economical) that will set the basis for the definition of the IS readiness level, a useful indicator establishing the feasibility of the overall IS initiative. In addition to specific developments on each of these factors, CORALIS will provide a harmonised framework for the monitoring of results and evaluation of their impact from a life cycle perspective. This impact assessment methodology will be implemented into a virtual assessment platform that will support the operation of the involved industrial parks. The overall approach of CORALIS will be demonstrated in a total of 3 industrial parks, each of them supported by an IS facilitator, a neutral actor in charge of guiding the IS initiative and exploiting its full potential. Moreover, 3 additional industrial parks will follow the project results in order to replicate them by implementing additional IS initiatives after the project’s end. Further replication is expected by gathering the project results in CORALIS Handbook for supporting the implementation of IS, by providing recommendations on regulation and standardization and by establishing a continuous dialogue with main European stakeholders following an ambitious dissemination and exploitation strategy.