Skip to main content
SpringerLink
Log in

New approaches to the integrated synthesis of flexible automated chemical engineering systems

  • Published:
Theoretical Foundations of Chemical Engineering Aims and scope Submit manuscript

Abstract

The problems of optimizing the design and operational (control) variables during the integrated design of flexible automated complexes of chemical engineering process (CEP)—automated control systems (ACS) under conditions of the uncertainty of physicochemical, engineering, and economic initial data have been formalized. The selection of the best available version of a flexible automated complex is performed by means of the pairwise comparison of alternative versions of automated complexes using criteria that take into account both the quality of the manufactured products and the characteristics of energy and resource saving, on one hand, and the quality of transient processes in the ACS, on the other hand. A two-stage problem of stoichastic optimization of flexible automated complexes with hard and soft constraints has been stated, and a new approach to its solution has been proposed. An example of the integrated design of a flexible continuous process of azo pigments synthesis and a system of the optimum stabilization of its conditions in the presence of an interval uncertainty of the kinetic coefficients of the chemical reaction and individual engineering variables has been shown.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Kafarov, W, Mmetody kibernetiki v khimii i khimicheskoi tekhnologii (Methods of Cybernetics in Chemistry and Chemical Engineering), Moscow: Khimiya, 1971.

    Google Scholar 

  2. Kafarov, V.V., Bodrov, V.I., Dvoretsky, S.I., et al., New Generation of Automation Adaptable Chemistry Production, Teor. Osn. Khim. Tekhnol., 1992, vol. 26, no. 2, p. 254.

    CAS  Google Scholar 

  3. Kafarov, V.V., Meshalkin, and Perov, V.L., Matematicheskie Osnovy Avtomatizirovannogo Proektirovaniya Khimicheskikh Proizvodstv: Metodologiya Proektirovaniya i Teoriya Razrabotok Optimal’nykh Tekhnologicheskikh Skhem (The Mathematical Basis for Computer—Aided Design of Chemical Production: Methodology of Design and Theory of Development of Optimal Technologies), Moscow: Khimiya, 1979.

    Google Scholar 

  4. Bodrov, V.I. and Dvoretsky, S.I., Synthesis Strategy for Automation Adaptable Chemical Engineering Systems, Teor. Osn. Khim. Tekhnol., 1991, vol. 25, no. 5, p. 716.

    CAS  Google Scholar 

  5. Ostrovsky, G.M. and Volin, Yu.M., Tekhnicheskie sistemy v usloviyakh neopredelennosti (Engineering Systems under Uncertainty), Moscow: BINOM. Laboratoriya znanii, 2008.

    Google Scholar 

  6. Ostrovsky, G.M., Volin, YM., and Dvoretsky, D.S., Integrated Design of Energy—Saving Chemical Process Systems: Strategy, Methods and Implementation, Proc. 16th European Symp. on Computer Aided Process Engineering (ESCAPE’16), 2006.

  7. Haleman, K.R. and Grossmann, I.E., Optimal Process Design Under Uncertainty, AIChE J., 1983, vol. 29, no. 3.

  8. Grossmann, I.E. and Floudas, C.A., Active Constraint Strategy for Flexibility in Chemical Process Design, Comp. Chem. Eng., 1987, vol. 11, no. 6, p. 675.

    Article  CAS  Google Scholar 

  9. Luyben, M.L. and Floudas, C.A., Analyzing the Interaction of Design and Control—1. A Multiobjective Framework and Application To Binary Distillation Synthesis, Comp. Chem. Eng, 1994, vol. 18, p. 933.

    Article  CAS  Google Scholar 

  10. Biegler, L.T., Grossmann, I.E., and Westerberg, A.W., Systematic Methods of Chemical Process Design, New Jersey: Carnegy Mellon University, 1997.

    Google Scholar 

  11. Dvoretsky, D.S. and Dvoretsky, S. I., Methodology of Integrated Synthesis of Energy and Resource Saving Chemical Engineering Systems, Vestnik TGTU, 2008, vol. 14, no. 4, p. 755.

    Google Scholar 

  12. Dvoretsky, D.S., Dvoretsky, S.I., and Ostrovsky, G.M., Integrated Design of Energy and Resource Saving Chemical Engineering Processes and Control Systems, Teor. Osn. Khim. Tekhnol., 2008, vol. 42, no. 1, p. 29.

    Google Scholar 

  13. Dvoretsky, S.I., Mamontov, I.N., and Kosenkov, A.A., Universal Algorithms for Optimal Control of Nonlinear Objects in Chemical Engineering, Izv. Vyssh. Uchebn. Zaved., Priborostr., 1999, no. 1, p. 30.

    Google Scholar 

  14. Dvoretsky, D.S., Dvoretsky, S.I., and Ostrovsky, G.M., Two—Stage Algorithm of Stochastic Optimization Intended for Calculation of Fine Organic Synthesis, Sb. tr. XXI Mezhdunar. nauch. konf. “Matematicheskie metody v tekhnike i tekhnologiyakh-MMTT-21” (Proc. XXI Intern. Scientific Conf. “Mathematical methods in technique and technologies-MMTT-21”), Saratov, 2008, vol. 2, p. 8.

    Google Scholar 

  15. Avecedo, J. and Pistikopoulos, E.N., Stochastic Optimization Based Algorithms for Process Synthesis Under Uncertainty, Comp. Chem. Eng, 1998, vol. 22, p. 647.

    Article  Google Scholar 

  16. Kudryavtsev, A.M., Dvoretsky, S.I., and Baranov, B.A., Development of Continuous Technological Process of Scarlet Pigment Production, Zh. Prikl. Khim., 1988, no. 11, p. 2525.

    Google Scholar 

  17. Gordeev, L.S., Dvoretsky, S.I., and Kudryavtsev, A.M., Mathematical Simulation and Research of Continuous Technologies of Azopigments Synthesis, Khim. prom—st., 1990, no. 10, p. 44.

    Google Scholar 

  18. Dvoretsky, D.S. and Peshkova, E.V, Mathematical Simulation and Optimization of Fine Organic Synthesis under Uncertainty, Vestnik TGTU, 2007, vol. 13, no. 1.

  19. Dvoretsky, D.S., Dvoretsky, S.I., and Ostrovsky, G.M., Optimization and Instrumental—Technology Implementation of Continuous Fine Organic Synthesis in Manufacturing of Organic Semi—Products and Dyings, Vestnik TGTU, 2008, vol. 14, no. 1, p. 75.

    Google Scholar 

  20. Dvoretsky, D.S., Dvoretsky, S.I., Egorov, A.F., and Ostrovsky, G.M., The Way to Solve the Two—stage Problem of Stochastic Optimization if one Designs the Combined Reactor Plant Intended for Fine Organic Synthesis, Khim. Tekhnol., 2008, vol. 9, no. 2, p. 67.

    Google Scholar 

  21. Dvoretsky, D.S., Dvoretsky, D.S., and Ostrovsky, G.M., New Method of Stochastic Optimization on Example of Cyclic Reactor of Thin Organic Synthesis, Proc. European Symposium on Computer Aided Process Engineering (ESCAPE’18). CD-ROM, Lion, 2008.

Download references

Author information

Authors and Affiliations

  1. Tambov State Technical University, Tambov, Russia

    D. S. Dvoretsky, S. I. Dvoretsky & S. V. Mishchenko

  2. Karpov Scientific Research Institute of Physical Chemistry, Moscow, Russia

    G. M. Ostrovsky

Authors
  1. D. S. Dvoretsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. I. Dvoretsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. V. Mishchenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. G. M. Ostrovsky
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Original Russian Text © D.S. Dvoretsky, S.I. Dvoretsky, S.V. Mishchenko, G.M. Ostrovsky, 2010, published in Teoreticheskie Osnovy Khimicheskoi Tekhnologii, 2010, Vol. 44, No. 1, pp. 69–77.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dvoretsky, D.S., Dvoretsky, S.I., Mishchenko, S.V. et al. New approaches to the integrated synthesis of flexible automated chemical engineering systems. Theor Found Chem Eng 44, 67–75 (2010). https://doi.org/10.1134/S0040579510010094

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0040579510010094

Keywords

Search

Navigation