Showcasing operational efficiency, one of India's largest power plants achieved a notable 2% reduction in energy generation costs.

We planted our patented Cognitive and Vision AI based technology – Ripik Vision for 90% + accuracy in burden mix optimization for reducing energy consumption. The technology is equipped to provide real-time predictions on coal size distribution, moisture, and colour mix, offering timely alerts for any significant variations. This involves optimization of burden mix components such as Lump, Chips, FRBL, and Briquette percentages and burden chemistry factors like basicity, MgO-by-Al2O3 ratio, and total Cr, among others. The technology extends its optimization to the mix of metallurgical coke and anthracite coal, resistance set point optimization, and the identification of maximum resistance for different burden mixes, all contributing to enhanced efficiency. With the Resistance Set Point Recommender in place, the suite ensures an overarching strategy for operational excellence and resource optimization.