Multi-Objective Optimizations of Non-Isothermal Simulated Moving Bed Reactor: Parametric Analyses

Simulated moving bed reactor (SMBR), a multicolumn multifunctional integrated system, which can be exploited with on-site adsorptive separation to enhance conversion of equilibrium-limited reversible chemical reaction. In this article, for generality, dimensionless SMBR model was developed and effects five representative temperature distributions among different zones on the performance an reaction in general form reactant decomposed two products were evaluated based simultaneous maximization unit throughput product purity. Multipliers applied adjust some parameters such that operation modes compared under various conditions parametric space. The multiobjective optimization problems solved using non-dominated sorting genetic algorithm. All simulations carried out FORTRAN codes. results showed both kinetics play important roles SMBR. When is fast or potency higher than desired (B) but lower byproduct (C), non-isothermal significantly improve throughput. On contrary, feed concentration enthalpy have minor optimal solutions. Decision variables flow rate ratios internal profiles used explain trends Pareto solution.