(95a) Model Predictive Control for Ethylene Oxide Explosion Limits Under Plant Upset Conditions
AIChE Spring Meeting and Global Congress on Process Safety
2017
2017 Spring Meeting and 13th Global Congress on Process Safety
Fuels and Petrochemicals Division
Process Control Developments in Petrochemicals II
Tuesday, March 28, 2017 - 10:15am to 10:45am
In this paper, a model predictive controller is designed to for an ethylene oxide plant using industry-standard distributed control system and dynamic process simulation in tandem. The controller is tested for ability to remain within explosion limits and ability to maintain optimal operation parameters under normal operation and plant upset conditions, including sudden failure in the lean cycle water stripping column and cooling duty availability in the reactor cooling systems.