Model-predictive safety system for proactive detection of operation hazards

A method of designing model‐predictive safety systems that can detect operation hazards proactively is presented. Such a proactive safety system has two major components: a set of operability constraints and a robust state estimator. The safety system triggers alarm(s) in real time when the process...

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Bibliographic Details
Published in:AIChE journal 2016-06, Vol.62 (6), p.2024-2042
Main Authors: Ahooyi, Taha Mohseni, Soroush, Masoud, Arbogast, Jeffrey E., Seider, Warren D., Oktem, Ulku G.
Format: Article
Language:English
Subjects:
Alarm systems
Chemical engineering
Chemical engineers
chemical processes
Estimators
Hazards
Mathematical models
model-predictive safety system
Nuclear engineering
Nuclear safety
operability analysis
Polymerization
proactive alarm
process safety
receding horizon
Signal processing
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Summary:A method of designing model‐predictive safety systems that can detect operation hazards proactively is presented. Such a proactive safety system has two major components: a set of operability constraints and a robust state estimator. The safety system triggers alarm(s) in real time when the process is unable to satisfy an operability constraint over a receding time‐horizon into the future. In other words, the system uses a process model to project the process operability status and to generate alarm signals indicating the presence of a present or future operation hazard. Unlike typical existing safety systems, it systematically accounts for nonlinearities and interactions among process variables to generate alarm signals; it provides alarm signals tied to unmeasurable, but detectable, state variables; and it generates alarm signals before an actual operation hazard occurs. The application and performance of the method are shown using a polymerization reactor example. © 2016 American Institute of Chemical Engineers AIChE J, 62: 2024–2042, 2016
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.15152