Term 251

Intelligent Monitoring and Predictive System for Distillation Column Optimization

Project Type: Self-Initiated

Project Description

An AI model trained on distillation simulations and validated with a ethanol water prototype quickly identifies operating conditions and suggests heat and flow adjustments to keep the column stable and efficient. The prototype demonstrates that distillation column performance issues can be predicted before they occur. The model identifies early indicators of instability and recommends corrective actions to prevent these conditions, ensuring stable operation and consistent product quality.


Poster not available


Project Team

Mohammed Alwetaishi
Mohammed Alwetaishi
Computer Science
Mohammed Aljaafari
Mohammed Aljaafari
Applied Mechanical Engineering
Yousef Alfahad
Yousef Alfahad
Applied Chemical Engineering
Khalid Al Saeed
Khalid Al Saeed
Applied Chemical Engineering

Team Coach

DR. Majed Al Zayer
DR. Majed Al Zayer
Assistant Professor

Info. & Computer Science Dept.

SDAIA-KFUPM Joint Research Center for Artificial Intelligence