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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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