Computer-Aided Design of Optimally Organized Systems in the Chemical Industry

Abstract

A new approach is proposed to the computer-aided design of optimally organized systems in chemical production. This approach is based on information theory, which is an applied aspect of general systems theory. A general methodology for the creation of complex technological objects is employed, in accordance with Roullier’s evolutionary law of increasing system complexity (system organization). An objective basis for organization is optimal differentiation (distribution) of the functions of a chemical-engineering system among its components and subsystems. That leads a priori to a macroscopic system with improved integrity, autonomy, stability, and controllability and also permits improvements in system efficiency through synergy. Options for differentiation of functions among the components of a chemical-engineering system are considered. Optimal conditions and optimization criteria are identified; these form the basis for the design of optimally organized processes in chemical engineering.