As cement plants push for higher thermal substitution rates (TSR) to cut costs and carbon emissions, they often hit a wall: unstable processes, declining clinker quality, rising fuel costs, and frustrated operators. Traditional control systems struggle to cope with the high variability of alternative fuels, leading to poor control, operator override, and misaligned strategies across departments.

In this webinar, we’ll show how Carbon Re’s AI is helping plants break through that wall — increasing TSR while maintaining clinker quality, respecting process constraints, and actually reducing specific fuel costs. We’ll walk through a real-world case study where a plant experienced performance issues at higher alternative fuel usage and how adaptive AI turned that around by delivering predictive optimisation.