eprintid: 6798
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/67/98
datestamp: 2023-11-09 16:18:35
lastmod: 2023-11-09 16:18:35
status_changed: 2023-11-09 16:07:41
type: article
metadata_visibility: show
creators_name: Faisal, A.
creators_name: Kamaruddin, B.
creators_name: Ramasamy, M.
creators_name: Zabiri, H.
creators_name: Mahadzir, S.
title: Economic model predictive control of distillation column
ispublished: pub
note: cited By 0
abstract: Although real time optimization (RTO) and model predictive control (MPC) layers are widely applied to optimize the economics of process operations successfully, it only results in a sub-optimal economic performance. Integration of the two layers into a single layer has been shown to offer potential advantages in realizing optimal economic performances. Economic model predictive control (EMPC) has recently been proposed in the literature to enhance the economic performance of process operations. This paper presents some of the basic formulations of economic model predictive control EMPC. The efficacy of EMPC is demonstrated via its application on a pilot-scale distillation column through simulation. Simulation results have shown that different formulations of EMPC outperform the economic performance of RTO and MPC in two layers while maintaining the system stability. © 2016 American Scientific Publishers. All rights reserved.
date: 2016
publisher: American Scientific Publishers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009144957&doi=10.1166%2fasl.2016.7018&partnerID=40&md5=9b562e301700c2817b289985abf9294e
id_number: 10.1166/asl.2016.7018
full_text_status: none
publication: Advanced Science Letters
volume: 22
number: 10
pagerange: 2671-2675
refereed: TRUE
issn: 19366612
citation:   Faisal, A. and Kamaruddin, B. and Ramasamy, M. and Zabiri, H. and Mahadzir, S.  (2016) Economic model predictive control of distillation column.  Advanced Science Letters, 22 (10).  pp. 2671-2675.  ISSN 19366612