Updated at: 28-07-2023
Updated at: 26-07-2023
The optimization of the use of resources during the selection of the aluminium recipes will be at the core of the IDSS with the aim of optimizing the overall process, reducing waste, and reducing polluting emissions.
To improve the efficiency of the whole value chain, AI apps will be used in predictive diagnosis of equipment efficiency to infer energy savings in production plant and maintenance optimization.
Self-X detection, self-X- diagnose and self-repair concepts will serve as a basis for the process control tool to be developed by the Steel Team.
This pilot focuses on reducing the CO2 emissions and energy consumption that derive from the production of Ethylene Oxide and Ethylene Glycol
Updated at: 25-07-2023