Simplified Mathematical Models to Describe Ethylene Oxide Catalyst Activity and Selectivity

The scope of this project is to develop alternative simplified mathematical models for the description of ethylene oxide catalyst activity and selectivity decline based on plant historical data. The models will be employed and evaluated for on line performance monitoring and prediction. Adaptive, online model estimation procedures may be required for these purposes.

Faculty Supervisor:

Drs. Kim B. McAuley and Thomas J. Harris

Student:

Shaohua Wu

Partner:

Shell Global Solutions

Discipline:

Engineering

Sector:

Chemicals

University:

Queen's University

Program:

Accelerate

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