Combined Dynamic Optimization, Optimal Control and Online Runaway Detection & Prevention under Uncertainty

Autor: F. Rossi, F. Manenti, G. Buzzi-Ferraris, G. Reklaitis
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Chemical Engineering Transactions, Vol 57 (2017)
Druh dokumentu: article
ISSN: 2283-9216
DOI: 10.3303/CET1757163
Popis: This contribution investigates the extent to which dynamic optimization and optimal control can provide reliable prediction and insure prevention of runaways under uncertainty. We limit our analysis to batch systems because both the issue of model uncertainty and that of hazardous loss of control are widespread within this type of processes. The paper shows that, surprisingly, a specific class of deterministic dynamic optimization and optimal control algorithms allows us to easily identify and prevent runaways, even when no accurate process model is available. The production process of 2-butyl propanoate via acid-catalyzed esterification of 2-butanol serves as case study to substantiate our claims.
Databáze: Directory of Open Access Journals