Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie1022139
Title: Integrated framework incorporating optimization for plant-wide control of industrial processes
Authors: Vasudevan, S.
Rangaiah, G.P. 
Issue Date: 6-Jul-2011
Citation: Vasudevan, S., Rangaiah, G.P. (2011-07-06). Integrated framework incorporating optimization for plant-wide control of industrial processes. Industrial and Engineering Chemistry Research 50 (13) : 8122-8137. ScholarBank@NUS Repository. https://doi.org/10.1021/ie1022139
Abstract: Numerous methodologies have been developed for the plant-wide control (PWC) of industrial processes. These methodologies can be classified into heuristics, optimization, mathematical, and mixed approaches. However, most of these methodologies do not involve the extensive usage of rigorous process simulators as part of the control system development. Also, in recent years, the focus has shifted toward the use of mixed approaches, which builds synergies between different techniques. As part of the continuing search for more effective PWC system design methods, an integrated methodology is proposed in this paper. This eight-level framework incorporates heuristics and optimization, together with the use of simulation throughout the procedure. The main intuitive feature of this framework is the identification of key controlled variables for optimal operation; this is achieved by detailed analysis of disturbances, computation of the new optimal set points by reoptimization, and cost breakdown analysis for throughput changes. Another important feature is the use of dynamic performance measures to aid in analyzing the effects of integration. This framework is then applied to the styrene monomer plant case study presented earlier [Vasudevan et al. Ind. Eng. Chem. Res.2009, 48, 10941-10961] to develop a viable control structure. The performance of the resulting control system is compared with the control system developed using the integrated framework of simulation and heuristics. While both the control structures are found to be stable and robust in the face of disturbances, the control structure developed in the present work performs significantly better, in terms of steady-state profit and the dynamic economic index based on deviation from the production target. © 2011 American Chemical Society.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/89248
ISSN: 08885885
DOI: 10.1021/ie1022139
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

10
checked on Sep 12, 2018

WEB OF SCIENCETM
Citations

7
checked on Sep 12, 2018

Page view(s)

52
checked on Jul 27, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.