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Common vulnerabilities of RTO implementations in real chemical processes
Author(s) -
Quelhas André D.,
de Jesus Normando José Castro,
Pinto José Carlos
Publication year - 2013
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.21738
Subject(s) - implementation , computer science , process (computing) , software implementation , software , face (sociological concept) , risk analysis (engineering) , scale (ratio) , software engineering , industrial engineering , management science , engineering , operating system , medicine , social science , physics , quantum mechanics , sociology
Real‐time optimisation (RTO) systems face challenging scenarios in industrial practice, such as incomplete and corrupted process information, uncertain large‐scale mathematical models and numerical optimisation issues. Proper design of RTO structure and robust diagnosis tools are keys for good performance, although they are neglected in commercial RTO software and not fully solved in the technical literature. This article reviews the concepts behind the two‐step RTO approach and suggests performance metrics. It also points out the large list of structural decisions and the consequences of intuitive, experience‐based RTO design choices. The discussed vulnerabilities are illustrated with some simulations and real industrial implementations. © 2012 Canadian Society for Chemical Engineering