Abstract
The paper considers the limitation problem of the distillation column systems separating multicomponent mixtures with serial and parallel structures. The solution takes into account the irreversibility of processes. Using entropic balance conditions, the dependence of load on heat consumption is obtained for a binary distillation column. This dependence is parameterized through two characteristic coefficients–reversible efficiency and irreversibility factor. This dependence was used to solve problems of distribution of heat and raw material fluxes in parallel column structure and selection of optimal separation order in serial structure. The obtained results make it possible to estimate the minimum heat consumption for the separation of a given flow of raw materials, the maximum productivity, and efficiency of the system.
Highlights
IntroductionThere is widespread research devoted to the problems of optimal organization of distillation (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20], etc.)
There is a dependence between the efficiency of a binary distillation column in the reversible and irreversible process, and the column capacity is limited by irreversibility of the processes flowing into it
Considering that for binary distillation the concentrations of the high-boiling component in the liquid and vapor flows are 1 − x and 1 − y, respectively, and the driving force of the process is determined by the difference of the current concentration y( x ) and the equilibrium concentration yo ( x ), entropy production associated with mass transfer is expressed through flows and chemical potentials as: LB =
Summary
There is widespread research devoted to the problems of optimal organization of distillation (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20], etc.). To organize the separation process so that these expenses are possibly reduced In these works, the irreversibility of mass transfer is based on its algorithmic form. This does not present the dependence of the peak performance on the heat consumption and kinetic factors explicitly. The parabola-defining components are obtained as functions of the parameters of the column and the mixture to be separated These results will be used to solve the problem of optimal organization of parallel and serial column structures. In which order should the cascade of serial columns separate the flow of raw materials into fractions of a given composition with minimum total heat consumption?.
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