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Processes 2016, 4(4), 44; doi:10.3390/pr4040044

Performance Evaluation of Real Industrial RTO Systems

1
Chemical Engineering Program, COPPE, Federal University of Rio de Janeiro, Cidade Universitária, Rio de Janeiro, RJ 21945-970, Brazil
2
Petrobras—Petróleo Brasileiro SA, Corporate University, Rio de Janeiro, RJ 20211-230, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Dominique Bonvin
Received: 4 October 2016 / Revised: 5 November 2016 / Accepted: 14 November 2016 / Published: 22 November 2016
(This article belongs to the Special Issue Real-Time Optimization)
View Full-Text   |   Download PDF [666 KB, uploaded 22 November 2016]   |  

Abstract

The proper design of RTO systems’ structure and critical diagnosis tools is neglected in commercial RTO software and poorly discussed in the literature. In a previous article, Quelhas et al. (Can J Chem Eng., 2013, 91, 652–668) have reviewed the concepts behind the two-step RTO approach and discussed the vulnerabilities of intuitive, experience-based RTO design choices. This work evaluates and analyzes the performance of industrial RTO implementations in the face of real settings regarding the choice of steady-state detection methods and parameters, the choice of adjustable model parameters and selected variables in the model adaptation problem, the convergence determination of optimization techniques, among other aspects, in the presence of real noisy data. Results clearly show the importance of a robust and careful consideration of all aspects of a two-step RTO structure, as well as of the performance evaluation, in order to have a real and undoubted improvement of process operation. View Full-Text
Keywords: static real-time optimization (RTO); on-line optimization; optimizing control; repeated identification and optimization; numerical methods; industrial RTO systems static real-time optimization (RTO); on-line optimization; optimizing control; repeated identification and optimization; numerical methods; industrial RTO systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Câmara, M.M.; Quelhas, A.D.; Pinto, J.C. Performance Evaluation of Real Industrial RTO Systems. Processes 2016, 4, 44.

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