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European Congress of Chemical Engineering - 6
Copenhagen 16-21 September 2007

Abstract 686 - Practical Application Of The Integrated Design Methodology To The Synthesis Of Continuous Flexible Automated Turbulent Reactor Units For The Production Of Azo Dyes And Pigments

PRACTICAL APPLICATION OF THE INTEGRATED DESIGN METHODOLOGY TO THE SYNTHESIS OF CONTINUOUS FLEXIBLE AUTOMATED TURBULENT REACTOR UNITS FOR THE PRODUCTION OF AZO DYES AND PIGMENTS

Systematic methods and tools for managing the complexity

Process Synthesis & Design (T4-1P)

Mr Gennady M. Ostrovsky
Karpov Institute of Physical Chemistry
Mathematical Modelling
ul. Vorontsovo pole, 10, Moscow, 105064, Russia
Russian Federation

Mr Dmitry Dvoretsky
Tambov State Technical University
Technological Institute of TSTU
ul. Sovetskaya, 106,
Tambov, 392000
Russia
Russian Federation

Prof Stanislav I. Dvoretsky
Tambov State Technical University
Technological Institute of TSTU
106 Sovetskaya str.
Tambov, 392000
Russia
Russian Federation

Keywords: design under uncertainty, integrated design methodology, turbulent automated reactor units

Statements of the problems of integrated synthesis of continuous tube reactor units of azo-dyes and pigments production under uncertainty are presented. The analysis of insights into practical application of the methods of one- and two stage stochastic optimization problems solving with “hard” and “soft”(probability) constraints is given.
The analysis of the results of integrated synthesis for different problem statements proves that for reactor unit design of azo dyes and pigments synthesis under uncertainty extra reserve of technical resource (comparing with the design without consideration of uncertain factors) is required. It is necessary to increase the design volumes of the reactor units: for one stage optimization problem with “hard” and “soft” constraints overdesign is ~50 % and ~38 % respectively; for two stage problem with “hard” and “soft” constraints it is ~45 % and ~ 34% respectively.
As alternative classes of the automatic control systems for the solution of optimal stabilization problem using quadratic criteria and adaptive static optimization, closed and open loop systems were treated.
The choice of class and structure of the automatic control system (ACS) was carried out with the use of the set of controllable (observable) variables and actions obtained from the analysis of structural matrix of chemical process dynamic equations. Also, observability of the output variables, evaluation of expenses for the development of control devices, and possibility and accuracy of output variables forecast were considered. Alternative classes and structures of the ACS were explored using imitation modeling method in the order of their costs ranging.
Our research into the use of optimal stabilization system (OSS) of the reactor units state variables for the problems that had been solved for the ACS-system class, showed that the quality of the transient processes could be improved by decreasing the dynamic operation error and the time of the transient process for 10% on average.
It has been identified that the complex “azo dyes synthesis reactor unit – adaptive system of static optimization” performed most effectively. However, it must be mentioned that during the imitation of this complex’s performance we did not consider possible mistakes of uncertain parameters identification, which could decrease the complex effectiveness.
The conclusions made are true for the operating conditions characterized by the probabilistic laws of disturbances impacts (uncertain parameters). In the case of other distribution densities of disturbances impacts (for example, if we can stabilize the size of solid particles which dissolute and react), fluctuations of the grain-size of the reacting solid particles can decrease, and the suggested methodology of imitation research of effectiveness of the flexible automated complex functioning may allow to conclude on the expediency of ACS using.

Presented Tuesday 18, 13:30 to 17:00, in session Process Synthesis & Design (T4-1P).

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