Economic model predictive control of distillation column

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...

Full description

Main Authors: Faisal, A., Kamaruddin, B., Ramasamy, M., Zabiri, H., Mahadzir, S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.25676 /
Published: American Scientific Publishers 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009144957&doi=10.1166%2fasl.2016.7018&partnerID=40&md5=9b562e301700c2817b289985abf9294e
http://eprints.utp.edu.my/25676/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.25676
recordtype eprints
spelling utp-eprints.256762021-08-27T09:40:20Z Economic model predictive control of distillation column Faisal, A. Kamaruddin, B. Ramasamy, M. Zabiri, H. Mahadzir, S. 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. American Scientific Publishers 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009144957&doi=10.1166%2fasl.2016.7018&partnerID=40&md5=9b562e301700c2817b289985abf9294e 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. http://eprints.utp.edu.my/25676/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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.
format Article
author Faisal, A.
Kamaruddin, B.
Ramasamy, M.
Zabiri, H.
Mahadzir, S.
spellingShingle Faisal, A.
Kamaruddin, B.
Ramasamy, M.
Zabiri, H.
Mahadzir, S.
Economic model predictive control of distillation column
author_sort Faisal, A.
title Economic model predictive control of distillation column
title_short Economic model predictive control of distillation column
title_full Economic model predictive control of distillation column
title_fullStr Economic model predictive control of distillation column
title_full_unstemmed Economic model predictive control of distillation column
title_sort economic model predictive control of distillation column
publisher American Scientific Publishers
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009144957&doi=10.1166%2fasl.2016.7018&partnerID=40&md5=9b562e301700c2817b289985abf9294e
http://eprints.utp.edu.my/25676/
_version_ 1741197014966730752
score 11.62408

Similar Items