Optimal Organization of Chemical-Technological Systems with Multiple Levels of Aggregation

This paper presents an algorithm for improving the organization of chemical-technological systems (CTSs) with several levels of aggregation based on information approach. The algorithm assumes the sequential solution of optimization problems according to the top-down principle, starting from the upper to the lower macroscopic levels, and then to the optimization problem at the microlevel. When solving optimization problems at all macrolevels, the optimization criterion is macroentropy, whose maximization in accordance with the zeroth law of thermodynamics is responsible for the optimal distribution of energy between elements and subsystems. The implementation of the algorithm is illustrated using the example of a system with a double-chamber heating furnace consisting of convection and radiation chambers combined into a single thermal unit. The determination of the tendencies of optimal organization of the CTS with the furnace as a single thermal unit and the furnace as a subsystem with a discrete element structure was made on the basis of the equivalent temperature distribution diagram determining the weight coefficients of the processes comprising the macroentropy criterion.