Lead: BFI
Work Package 2 aims at incorporating smart monitoring and sensors to optimize treatment processes into CORNERSTONE systems, with a primary objective of reducing downtime, minimizing cleaning requirements, enhancing overall process performance, and predicting maintenance risks.
The integration of digital twins for developed technologies and technology trains is validated using real data obtained from two demonstration sites, specifically within the steel and pulp and paper industries.
The ultimate aim is to achieve a greater than 90% accuracy in simulated process problem identification through smart monitoring. Additionally, there is a focus on attaining more than 80% correlation between real data and digital twin predictions for energy and water reuse in the steel and pulp and paper sectors.