Case Study: a leading US-based coke and steel manufacturer reduces energy use and sulfur emissions with C3 AI Process Optimization

a leading enterprise AI software provider reduces sulfur emissions by 20% with C3.ai

A leading US-based coke and steel manufacturer faced a complex operational challenge in its gas cleaning process. The company needed to balance reducing massive electricity consumption with maintaining high performance to remove hydrogen sulfide and meet strict environmental standards, all while ensuring process stability. To address this, they partnered with C3.ai to implement C3 AI Process Optimization.

C3.ai configured an AI-driven application that integrated data from over 1,000 sensors and used predictive machine learning models to recommend optimal setpoints. This solution provided operators with the visibility and decision support needed to improve efficiency. As a result, the manufacturer achieved a 20% reduction in sulfur emissions and a 12% decrease in electricity consumption, equivalent to the power for 2,000 homes, all within 26 weeks of project kickoff.