Tenaris’s mill in Veracruz, Mexico, has taken a significant step forward to contribute to the company’s 2030 decarbonization plan with the integration of a smart furnace model that uses predictive tools to analyze the metallic load of the Electric Arc Furnace (EAF).
The smart furnace model, developed by Tenaris’s R&D department, is an EAF web-based model that predicts metallic yield, energy and oxygen demand, electrode consumption, and anticipated CO2 emissions. The model integrates a scrap recipe optimization simulator that employs statistical data to determine the best mix of scrap types to achieve low residual element content in the steel produced, while minimizing the cost of the metallic charge. The reduction in CO2 emissions by 20% was accomplished with only a three percent rise in electrical energy consumption and minimal impact on process yield, without sacrificing steel quality and process costs.
Courtesy of Tenaris.