2018 Spring Meeting and 14th Global Congress on Process Safety

Model Predictive Control for Ethylene Oxide Plant Startup

Authors

Odell, A. III - Presenter, Lamar University
Xu, Q., Lamar University
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.