(23c) Model Predictive Control for Ethylene Oxide Plant Upset Mitigation
AIChE Spring Meeting and Global Congress on Process Safety
2016
2016 AIChE Spring Meeting and 12th Global Congress on Process Safety
Computing and Systems Technology Division
Computers in Design and Operations: Risk and Uncertainty
Monday, April 11, 2016 - 2:30pm to 3:00pm
Model Predictive Control for Ethylene Oxide Plant Upset Mitigation
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.