Smart energy optimization for steel manufacturing

Steel manufacturing is one of the most energy-intensive industrial processes, requiring massive amounts of electricity to power furnaces, rolling mills, and other critical equipment. ArcelorMittal faced significant challenges managing energy consumption across their operations.

The company was subject to peak demand charges and potential penalties from utility providers when energy usage spiked during production cycles. These peak usage events could result in substantial financial penalties, sometimes exceeding millions of dollars, while also straining the electrical grid infrastructure.

Without intelligent energy management, ArcelorMittal risked costly penalties, inefficient energy utilization, and potential operational disruptions during peak demand periods.

We developed a smart energy optimization system that analyzes real-time energy consumption patterns, production schedules, and grid demand forecasts to intelligently manage power usage across ArcelorMittal's manufacturing facilities.

The solution uses advanced algorithms to predict peak demand periods and automatically adjusts production schedules and equipment operations to flatten energy consumption curves. This prevents costly peak demand spikes while maintaining production targets and operational efficiency.

The system integrated seamlessly with ArcelorMittal's existing manufacturing execution systems, providing real-time recommendations and automated controls that optimize energy usage without compromising production quality or throughput.