Abstract

A fourth-order compact finite difference scheme was developed to solve the model equation of simulated moving bed, which has a boundary condition that is updated along the calculation process and cannot be described as an explicit function of time. Two different methods, direct method and pseudo grid point method, were proposed to deal with the boundary condition. The high accuracy of the two methods was confirmed by a case study of solving an advection-diffusion equation with exact solution. The developed compact finite difference scheme was then used to simulate the SMB processes for glucose-fructose separation and enantioseparation of 1,1′-bi-2-naphtol. It was found that the simulated results fit well with the experimental data. Furthermore, the developed method was further combined with the continuous prediction method to shorten the computational time and the results showed that, the computational time can be saved about 45%.

Highlights

  • A fourth-order compact finite difference scheme was developed to solve the model equation of simulated moving bed, which has a boundary condition that is updated along the calculation process and cannot be described as an explicit function of time

  • To test the accuracy of the compact finite difference scheme (CFDS) developed in this work, the transient one-dimensional advection-diffusion equation was first solved as follows[29,32,40]:

  • The higher accuracy of the compact finite difference scheme was confirmed by a case study with analytical solution

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Summary

Introduction

A fourth-order compact finite difference scheme was developed to solve the model equation of simulated moving bed, which has a boundary condition that is updated along the calculation process and cannot be described as an explicit function of time. To develop a 4th-order CFDS that can be used to solve the model equation of SMB, in the present work we compared two different methods for the handling of the boundary conditions.

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