EThis subproject is part of the coordinated project \'Advanced Components for Industrial Digital Twins.\' It focuses on the development of distributed optimization methods and algorithms to address parameter estimation problems, modifier adaptation techniques, and real-time data reconciliation. Additionally, the architecture and integration of its components within a Digital Twin (DT) will be analyzed. Two case studies—the manufacturing of fiber panels and a laboratory pilot plant—will be used to evaluate the project outcomes.

This project focuses on the development of a digital twin for wood product production lines, based on AI technologies, digital modeling, and simulation. The integration of AI with the digital twin will result in significantly improved productivity, safety, reliability, quality, and protection.

WATER2WATTS develops practical designs to achieve maximum efficiency in osmotic renewable energy generation processes. The project focuses on the development of practical control and optimization algorithms that robustly maximize plant efficiency by adapting to variations in input sources, as well as to temperature and concentration changes caused by climatic or environmental fluctuations. The developed algorithms are validated using field measurements in a specific case study.

FormalCircular aims to explore the technical feasibility of using biogas produced from the anaerobic digestion of waste as a feedstock for formaldehyde production. This is achieved through the use of methanotrophic microorganisms of the species Methylomicrobium alcaliphilum, from which a specific gene has been deleted to enable this transformation.