Balancing lime addition to minimize both NOx emissions and free lime in clinker poses a significant challenge. With lab samples typically providing feedback with delays of 1-2 hours, operators face difficulties in timely adjustments. Excessive lime addition results in fuel wastage, while inadequate addition leads to poor-quality clinker. This initiative focuses on developing a predictive modeling approach for free lime management. By leveraging real-time data and advanced analytics, we aim to optimize lime addition, reduce NOx emissions, and enhance clinker quality, thus promoting environmental sustainability and operational efficiency in the production process.
