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JCR Impact Factor: 1.221
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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2020-Jun-11
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  1/2008 - 2

 HIGHLY CITED PAPER 

Temperature Optimization of a Naphtha Splitter Unit

NEVADO, A. See more information about NEVADO, A. on SCOPUS See more information about NEVADO, A. on IEEExplore See more information about NEVADO, A. on Web of Science, ONATE, L. M. See more information about  ONATE, L. M. on SCOPUS See more information about  ONATE, L. M. on SCOPUS See more information about ONATE, L. M. on Web of Science, SANZ, J. See more information about  SANZ, J. on SCOPUS See more information about  SANZ, J. on SCOPUS See more information about SANZ, J. on Web of Science, ALCALDE, R. See more information about  ALCALDE, R. on SCOPUS See more information about  ALCALDE, R. on SCOPUS See more information about ALCALDE, R. on Web of Science, SLAVEN, K. See more information about SLAVEN, K. on SCOPUS See more information about SLAVEN, K. on SCOPUS See more information about SLAVEN, K. on Web of Science
 
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Download PDF pdficon (2,593 KB) | Citation | Downloads: 1,266 | Views: 4,595

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
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Full text preview
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.


References | Cited By  «-- Click to see who has cited this paper

[1] W. L. Nelson, "Petroleum Refinery Engineering", McGraw Hill Company, 1949.

[2] M. A. Ramos Carpio, "Petroleum Refinery, Natural Gas y Petrochemical (In Spanish)", Fundacion Fomento Innovacion Industrial, 1998.

[3] C. A. Smith and A. B. Corripio, "Principles and Practice of Automatic Process Control", John Wiley and Sons, 2005.

[4] J. Acedo Sanchez, "Instrumentation and Basic Process Control (In Spanish)", Diaz de Santos, 2006.

[5] F. G. Shinskey, "Process Control Systems.Application,Design and Tuning", McGraw Hill Company, 1996.

[6] F. G. Shinskey, "Distillation Control for Productivity and Energy Conservation", McGraw Hill Company, 1984.

[7] J. Acedo Sanchez, "Instrumentation and Advanced Process Control (In Spanish)", Diaz de Santos, 2006.

[8] J. M. Martin Sanchez, "Adaptive predictive control system", USA Patent No. 4,197,576, 1976.

[9] J. M. Martin Sanchez, "A new solution to adaptive control", Proceedings of the IEEE, Vol. 64, 1209-1218, 1976.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 62]


[10] J. A. Richalet, J. L. Rault, J. L. Testud and J. Papon, "Model predictive heuristic control: applications to an industrial process". Automatica, Vol. 15, 413-428, 1978.
[CrossRef] [Web of Science Times Cited 1051] [SCOPUS Times Cited 1331]


[11] C. R. Cutler and B. L. Ramaker, "Dynamic matrix control; a computer control algorithm", Proc. Joint Automatic Control Conference, San Francisco, USA, 1980.

[12] D. M. Prett and R. D. Gillette, "Optimization and constrained variable control of a catalytic cracking unit", Proc. Joint Automatic Control Conference, San Francisco, USA, 1980.

[13] T. L. Blevins, G. K. McMillan, W. K. Wojsznis and M.W. Brown, "Advanced Control Unleashed", ISA, 2003.

[14] A. S. Foss, "Critical of chemical process control theory", AIChE Journal, Vol. 19, 209-214, 1973.
[CrossRef] [SCOPUS Times Cited 113]


[15] J. M. Martin Sanchez and S. L. Shah, "Multivariable adaptive predictive control of a binary distillation column", International Journal of Control, Vol. 39, 215-234, 1984.

[16] S. Gonzalez, C. Corzo and J. M. Martin Sanchez, "SCAP optimization of cement production", World Cement, Vol. 25(7), 38-42, 1994.

[17] J. Rodellar, A.H. Barbat and J. M. Martin Sanchez, "Predictive control of structures", Journal of Engineering Mechanics, ASCE, Vol. 113(6), 797- 812, 1987.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 63]


[18] G. Dumont, J.M. Martin Sanchez and Ch.C. Zervos, "Comparison of an auto-tuned PID regulator and an adaptive predictive control system on an industrial bleach plant", Automatica, Vol. 25(1), 33-40, 1989.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 35]


[19] L. Perez, J. Perez, J. Cerezo, J. Catediano and J. M. Martin Sanchez, "Adaptive predictive control in a thermal power station", Proc. of the 3rd IEEE Conference o Control Applications, Glasgow, UK, Vol. 1, 747-757, 1994.

[20] J. M. Martin Sanchez and J. Rodellar, "Adaptive Predictive Control: From the Concepts to Plant Optimization", Prentice Hall, 1996.

[21] J. M. Martin Sanchez, "Adaptive Predictive Expert Control System", U.S.A. Patent No. 6,662,058 B1, Dec. 9, 2003.

[22] J. M. Martin Sanchez y J. Rodellar, "Control Adaptativo Predictivo Experto: Metodologia, Diseno y Aplicacion", UNED, 2005.

[23] "ADEX Control & Optimization Platform: Manual for the User, Version 2.0", ADEX, S.L., 2006.

[24] A. Cavanillas, F. Alonso, F. Riesco y J. M. Martin Sanchez, J. M., "Evaluacion de una Plataforma de Control adaptativo Predictivo Experto en la Refineria de Escombreras" IAS IEEE SAICA 2005, pp. 19-32, Madrid, Oct. 19, 2005.

References Weight

Web of Science® Citations for all references: 1,176 TCR
SCOPUS® Citations for all references: 1,604 TCR

Web of Science® Average Citations per reference: 49 ACR
SCOPUS® Average Citations per reference: 67 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-09-14 13:48 in 32 seconds.




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