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Online model-based optimization and control for the combined optimal operation and runaway prediction and prevention in (fed-)batch systems

Academic Article
Publication Date:
2015
Citation:
Online model-based optimization and control for the combined optimal operation and runaway prediction and prevention in (fed-)batch systems / F. Rossi, S. Copelli, A. Colombo, C. Pirola, F. Manenti. - In: CHEMICAL ENGINEERING SCIENCE. - ISSN 0009-2509. - 138(2015 Dec), pp. 760-771. [10.1016/j.ces.2015.09.006]
abstract:
An advanced model-based strategy for the online optimization and/or optimal control of (fed-)batch systems, the BSMBO&C, is applied to discontinuous equipment that can be subject to runaway phenomena. The aim is that of showing that it is simultaneously possible to provide profitable online optimization and/or optimal control policies, predict possible future hazardous situations in advance and automatically decide whether and when to (optimally) stop a production cycle in order to prevent safety risks (unavoidable runaways). All these actions are performed online, thus allowing for the effect of any external perturbation. A fed-batch process based on a well-known example of runaway reaction, i.e. the oxidation of 2-octanol to 2-octanone with nitric acid in aqueous solution, is selected as a benchmark to test the real attainability of simultaneous process profitability and safety.
IRIS type:
01 - Articolo su periodico
Keywords:
Non-linear model predictive control; Online runaway prediction and prevention; Real-time dynamic optimization; Safe and profitable management of (fed-)batch processes; Chemical Engineering (all); Chemistry (all); Applied Mathematics; Industrial and Manufacturing Engineering
List of contributors:
F. Rossi, S. Copelli, A. Colombo, C. Pirola, F. Manenti
Authors of the University:
PIROLA CARLO ( author )
Link to information sheet:
https://air.unimi.it/handle/2434/344351
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