Model Predictive Control for Ethylene Oxide Plant Startup

In this paper, a model predictive controller is designed to for an ethylene oxide plant using dynamic process simulation. The controller is tested for ability to remain within explosion limits and ability to maintain optimal operation parameters under startup operation and plant upset conditions, including sudden failure in the lean cycle water stripping column and cooling duty availability in the reactor cooling systems.