Energy and Emission Optimization of Iron Ore Pelletizing Plant, Mathematical Modeling of Indurating Machine

This thesis develops a MATLAB-based computational platform for modeling the induration process to enhance energy and material flow efficiency in industrial applications. Induration, a critical thermal treatment process in industries such as iron ore pelletizing, involves complex interactions of heat transfer, mass transport, and chemical reactions. The primary objective is to create a robust simulation tool that accurately represents these dynamics to optimize operational parameters and reduce resource consumption. The model integrates empirical data and theoretical models to simulate induration under varying conditions. Key performance metrics, including energy utilization and material throughput, are analyzed to identify strategies for process improvement. Results demonstrate the platform’s ability to predict process behavior and suggest operational adjustments that enhance efficiency while maintaining product quality. This work contributes to sustainable industrial practices by providing a scalable tool for process optimization and lays the groundwork for future advancements in energy-efficient thermal processing.