| 1/2008 - 2 |
Temperature Optimization of a Naphtha Splitter UnitNEVADO, A.   , ONATE, L. M. , SANZ, J. , ALCALDE, R. , SLAVEN, K. |
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Author keywords
adaptive predictive expert, control, optimization, splitter unit
References keywords
control(26), sanchez(13), martin(11), predictive(8), adaptive(7), process(6), optimization(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 7 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01002
Web of Science Accession Number: 000259903500002
SCOPUS ID: 77955651689
Abstract
A fully reliable and efficient adaptive control methodology has been long awaited in industry due to the time-varying nature of industrial plants. This paper demonstrates that this kind of adaptive solution is now available and simple to apply by presenting the first application of a methodology called Adaptive Predictive Expert (ADEX) Control in a petrochemical production unit. A description of the plant and the ADEX solution is followed by a comparative analysis of the results obtained with those of the existing conventional PID control. The objectives of the application involving the naphtha splitter at the Puertollano Refinery of Repsol were to establish the viability of ADEX in this environment, increase the quality of the naphtha products by achieving closer compliance with desired specification and maximizing the economic yield. To achieve these objectives it was necessary to enhance the stability of the naphtha splitter by improving control of the principal variables and eliminating a degree of interaction between them which was causing a resonance problem in the column. The application of the ADEX system confirm its viability, demonstrated a marked increase in column stability, significant improvements in levels of control and the elimination of the resonance problems. |
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[1] Optimization of Distribution Control System in Oil Refinery by Applying Hybrid Machine Learning Techniques, Hussein Humod Al Jlibawi, Ali, Othman, Mohammad Lutfi, Ishak, Aris, Moh Noor, Bahari S., Sajitt, Al Huseiny M. Sattar, IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2021.3134931 [CrossRef]
[2] Novel Strategy of Adaptive Predictive Control Based on a MIMO-ARX Model, Piñón, Alejandro, Favela-Contreras, Antonio, Beltran-Carbajal, Francisco, Lozoya, Camilo, Dieck-Assad, Graciano, Actuators, ISSN 2076-0825, Issue 1, Volume 11, 2022.
Digital Object Identifier: 10.3390/act11010021 [CrossRef]
[3] A new control strategy for IKN-type coolers, Nevado, Antonio, Requena, Ricardo, Viudez, Daniel, Plano, Emilio, Control Engineering Practice, ISSN 0967-0661, Issue 9, Volume 19, 2011.
Digital Object Identifier: 10.1016/j.conengprac.2011.05.011 [CrossRef]
[4] Adaptive predictive control of the sulfur recovery process at Pemex Cadereyta refinery, Raimondi, Angelo, Favela, Antonio, Estrada, Raul, Nevado, Antonio, Gracia, Edgar, International Journal of Adaptive Control and Signal Processing, ISSN 0890-6327, Issue 10, Volume 26, 2012.
Digital Object Identifier: 10.1002/acs.2282 [CrossRef]
[5] Stable predictive control horizons, Estrada, Raúl, Favela, Antonio, Raimondi, Angelo, Nevado, Antonio, Requena, Ricardo, Beltrán-Carbajal, Francisco, International Journal of Control, ISSN 0020-7179, Issue 4, Volume 85, 2012.
Digital Object Identifier: 10.1080/00207179.2011.652363 [CrossRef]
[6] Survey of industrial optimized adaptive control, Martín‐Sánchez, Juan M., Lemos, João M., Rodellar, José, International Journal of Adaptive Control and Signal Processing, ISSN 0890-6327, Issue 10, Volume 26, 2012.
Digital Object Identifier: 10.1002/acs.2313 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
