Dynamic simulation and operational optimization of dividing wall batch distillation columns based on rigorous models

Abstract

Batch distillation, as a widely applied separation technology, demonstrates significant advantages in small-scale, multi-component, and composition-variable separation tasks. Current research primarily focuses on two directions to enhance its overall performance, reduce energy consumption, and shorten separation time: development of novel process configurations and operational optimization. Among these, the dividing wall batch distillation column (DWBDC) remarkably improves separation efficiency of conventional batch distillation through its innovative batch dividing wall process intensification structure. However, as a highly nonlinear dynamic system, DWBDC presents considerable challenges in rigorous simulation and optimization, which is well worth further investigation. Bayesian optimization algorithms have gained extensive application in chemical engineering due to their efficient global search capability in recent years. This study innovatively applies Bayesian optimization to batch distillation processes, establishing an operational optimization framework based on this algorithm and implementing it in the optimal design of various batch distillation configurations. To systematically evaluate DWBDC's superiority, rigorous dynamic simulations were conducted on three configurations: conventional batch distillation column (BDC), middle vessel batch distillation column (MVBDC), and DWBDC, with corresponding concentration control systems developed. The research examined separation performances of these configurations for industrial waste solvents with different feed compositions (light-component-dominant, intermediate-component-dominant, and balanced light/intermediate-component feeds). Bayesian optimization was employed to optimize operational parameters for all three configurations, followed by comparative performance analysis under optimal conditions. Results demonstrate the superior performance of DWBDC in both operating time and economic efficiency, providing crucial theoretical foundations and practical guidance for industrial application of dividing wall batch distillation technology.