The R&D project “Intelligent Modeling of Gas Networks to Minimize Natural Gas Consumption in Steelmaking Processes” is based on modeling, simulating, and predicting the consumption of natural gas (NG) and other waste gases such as steelmaking gas (GLD), coke oven gas (GCK), and blast furnace gas (GHA) in steelmaking processes. The aim is to minimize natural gas consumption and redefine industrial processes to maximize the use of gases produced by the steelworks itself, transforming them into fuel for other steelmaking processes and avoiding their final combustion in a flare. This ultimately translates into a reduction in both emissions and natural gas consumption, guiding steelmaking processes toward a waste utilization model and introducing a sustainability component into this industry, which is of great interest in the current context.

There is an existing need within industry to transform industrial processes, ensuring consumption based entirely on production and avoiding the waste of resources that, in addition to being polluting when burned, are finite and have a significant economic impact.
DeltaDigital will attempt to combine, in a single tool, the control of the industrial gas network, the prediction of future consumption, and the improvement of processes through demand compensation in different areas, thanks to the intelligent data analysis that the technology itself can perform.