TY  - JOUR
N2  - 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.
IS  - 10
ID  - scholars6798
JF  - Advanced Science Letters
A1  - Faisal, A.
A1  - Kamaruddin, B.
A1  - Ramasamy, M.
A1  - Zabiri, H.
A1  - Mahadzir, S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009144957&doi=10.1166%2fasl.2016.7018&partnerID=40&md5=9b562e301700c2817b289985abf9294e
VL  - 22
Y1  - 2016///
N1  - cited By 0
SP  - 2671
TI  - Economic model predictive control of distillation column
AV  - none
EP  - 2675
PB  - American Scientific Publishers
SN  - 19366612
ER  -