OPTIMIZATION OF RECTIFICATION PROCESS USING MOBILE CONTROL ACTION WITH ACCOUNT FOR CRITERION OF MAXIMIZING SEPARATION QUALITY

Keywords: optimization; rectification; mobile control; normalized criterion; temperature profile; feed tray

Abstract

The use of mobile control action allows the improvement of technical-economical characteristics of the rectification process and allows for operation regimes that can’t be achieved with traditional control approaches. Mobility lies in the ability to choose the movement law of compound source and energy in the spatial region of apparatus.

Mobile control over the rectification process can be realized by changing the column feed point. An optimal number of feed trays must be determined with consideration of cost and output performance, and also the quality of the target product.

The work aimed to develop a method for calculating optimal control action, including mobile ones, on the rectification process with additional account for the criterion of maximizing quality of target product, and also, comparison of static column profiles that are optimal by different criteria.

Mathematical modeling of the rectification column for separation of water-methanol mixture revealed that increasing quality requirements to target products decreases the number of the optimal feed tray. A method was described for process optimization by the normalized criterion that accounts for separation quality and power consumption. The method was used to determine optimal values of traditional (flows of heat into the column's cube and phlegm) and mobile (feed tray number) control actions that provide the best technical-economical parameters of the rectification column.

A proof is presented for the existence and uniqueness of solutions for this optimization problem and the effectiveness of using mobile actions for different requirements to target. The optimal temperature profile of the culms was studied and their characteristic features that correspond to different specific and normalized optimization criteria were found

Downloads

Download data is not yet available.

Author Biographies

Anton Sheikus, Ukrainian State University of Chemical Technology

Department of Computer-Integrated Technology and Automation

Vadym Kovalenko, Ukrainian State University of Chemical Technology, Vyatka State University

Department of Analytical Chemistry and Chemical Technology of Food Additives and Cosmetics

Competence center "Ecological technologies and systems"

Valerii Kotok, Ukrainian State University of Chemical Technology, Vyatka State University

Department of Processes, Apparatus and General Chemical Technology

Competence center "Ecological technologies and systems"

Igor Levchuk, Ukrainian State University of Chemical Technology

Department of Computer-Integrated Technology and Automation

Olena Bilobrova, Ukrainian State University of Chemical Technology

Department of Theoretical and Applied Economics

Larisa Darovskih, Vyatka State University

Department of fundamental chemistry and methods of chemistry education

References

Towler, G., Sinnott, R. (2012). Chemical Engineering Design. Elsevier, 1320. doi: https://doi.org/10.1016/c2009-0-61216-2

Udugama, I. A., Wolfenstetter, F., Kirkpatrick, R., Yu, W., Young, B. R. (2017). A comparison of a novel robust decentralised control strategy and MPC for industrial high purity, high recovery, multicomponent distillation. ISA Transactions, 69, 222–233. doi: https://doi.org/10.1016/j.isatra.2017.04.008

Raimondi, A., Favela-Contreras, A., Beltrán-Carbajal, F., Piñón-Rubio, A., Luis de la Peña-Elizondo, J. (2015). Design of an adaptive predictive control strategy for crude oil atmospheric distillation process. Control Engineering Practice, 34, 39–48. doi: https://doi.org/10.1016/j.conengprac.2014.09.014

Shevchuk, V. P., Sharovina, S. O. (2015). Researching of the effectiveness of the adaptive control of the temperature profile of the distillation column. Alternative Energy and Ecology (ISJAEE), 17-18, 105–111. doi: https://doi.org/10.15518/isjaee.2015.17-18.015

Bisgaard, T., Skogestad, S., Huusom, J. K., Abildskov, J. (2016). Optimal Operation and Stabilising Control of the Concentric Heat-Integrated Distillation Column. IFAC-PapersOnLine, 49 (7), 747–752. doi: https://doi.org/10.1016/j.ifacol.2016.07.275

Valderrama, F., Ruiz, F. (2018). An optimal control approach to steam distillation of essential oils from aromatic plants. Computers & Chemical Engineering, 117, 25–31. doi: https://doi.org/10.1016/j.compchemeng.2018.05.009

Behroozsarand, A., Shafiei, S. (2011). Optimal control of distillation column using Non-Dominated Sorting Genetic Algorithm-II. Journal of Loss Prevention in the Process Industries, 24 (1), 25–33. doi: https://doi.org/10.1016/j.jlp.2010.08.009

Osuolale, F. N., Zhang, J. (2015). Multi-objective Optimisation of Atmospheric Crude Distillation System Operations Based on Bootstrap Aggregated Neural Network Models. Computer Aided Chemical Engineering, 671–676. doi: https://doi.org/10.1016/b978-0-444-63578-5.50107-9

Vasičkaninová, A., Bakošová, M., Mészáros, A. (2016). Fuzzy Control of a Distillation Column. 26th European Symposium on Computer Aided Process Engineering, 1299–1304. doi: https://doi.org/10.1016/b978-0-444-63428-3.50221-6

Yamashita, A. S., Zanin, A. C., Odloak, D. (2016). Tuning the Model Predictive Control of a Crude Distillation Unit. ISA Transactions, 60, 178–190. doi: https://doi.org/10.1016/j.isatra.2015.10.017

Meyer, K., Bisgaard, T., Huusom, J. K., Abildskov, J. (2017). Supervisory Model Predictive Control of the Heat Integrated Distillation Column. IFAC-PapersOnLine, 50 (1), 7375–7380. doi: https://doi.org/10.1016/j.ifacol.2017.08.1506

Marangoni, C., Teleken, J. G., Werle, L. O., Machado, R. A. F., Bolzan, A. (2009). Multivariable control with adjustment by decoupling using a distributed action approach in a distillation column. IFAC Proceedings Volumes, 42 (11), 857–862. doi: https://doi.org/10.3182/20090712-4-tr-2008.00140

Kubyshkin, V. A. (2011). Mobile control of vibrations in systems with distributed parameters. Automation and Remote Control, 72 (10), 2112–2122. doi: https://doi.org/10.1134/s0005117911100109

Sheikus, A. (2019). Distillation process optimization using continuous mobile control actions by redistributing the feed flow. Advanced Information Systems, 3 (3), 30–36. doi: https://doi.org/10.20998/2522-9052.2019.3.04

Sheikus, A. R., Trishkin, V. Y. (2018). Static optimization of rectification processes using mobile control actions. Radio Electronics, Computer Science, Control, 1, 192–201. doi: https://doi.org/10.15588/1607-3274-2018-1-22

Sheikus, A. R., Kovalenko, V. L., Kotok, V. A., Bilobrova, O. V., Fesenko, K. O., Verbitskiy, V. V. (2020). Study of the features of monitoring the rectification process during automatic control using mobile influences. Journal of Engineering and Applied Sciences, 15 (1), 122–128.

Hoffmann, A., Bortz, M., Welke, R., Burger, J., Küfer, K.-H., Hasse, H. (2017). Stage-to-stage calculations of distillation columns by fixed-point iteration and application of the Banach fixed-point theorem. Chemical Engineering Science, 164, 188–201. doi: https://doi.org/10.1016/j.ces.2017.02.006


Abstract views: 47
PDF Downloads: 40
Published
2020-11-30
How to Cite
Sheikus, A., Kovalenko, V., Kotok, V., Levchuk, I., Bilobrova, O., & Darovskih, L. (2020). OPTIMIZATION OF RECTIFICATION PROCESS USING MOBILE CONTROL ACTION WITH ACCOUNT FOR CRITERION OF MAXIMIZING SEPARATION QUALITY. EUREKA: Physics and Engineering, (6), 33-40. https://doi.org/10.21303/2461-4262.2020.001503
Section
Engineering

Most read articles by the same author(s)