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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Next issue: Nov 2017
Avg review time: 76 days


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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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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  1/2008 - 2

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
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (2,593 KB) | Citation | Downloads: 1,061 | Views: 3,351

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 41] [SCOPUS Times Cited 52]


[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 851] [SCOPUS Times Cited 1057]


[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 99]


[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] [SCOPUS Times Cited 58]


[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 29] [SCOPUS Times Cited 32]


[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: 921 TCR
SCOPUS® Citations for all references: 1,298 TCR

Web of Science® Average Citations per reference: 38 ACR
SCOPUS® Average Citations per reference: 54 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 2017-09-18 10:30 in 38 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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