Process parameter optimization method of simulated moving bed separation device

Abstract

The invention relates to a process parameter optimization method of a simulated moving bed separation device. The process parameter optimization method comprises the following steps: S1, establishing a mathematical model of a simulated moving bed; S2 setting, initial process parameters, and operating the simulated moving bed under the initial process parameters based on the mathematical model; S3, searching new robustness process parameters of the simulated moving bed to replace the initial process parameters; and S4, enabling the simulated moving bed to run under the robustness process parameters obtained in the S3, judging whether the robustness process parameters can meet the separation performance indexes of the simulated moving bed or not, and storing the robustness process parameters meeting the separation performance indexes as the optimal process parameters. A group of robust simulated moving bed process parameter values can be found, the influence of disturbance on the separation performance of the simulated moving bed can be effectively overcome when the simulated moving bed operates under the robust new process parameters, and the stable operation of the production process can be ensured.

Description

technical field [0001] The invention relates to the technical field of industrial process optimization, in particular to a process parameter optimization method for a simulated moving bed separation device. Background technique [0002] With the development and progress of the chemical industry, many preparation processes often require high-purity raw materials for chemical production. Simulated Moving Bed (SMB) technology is the main representative of continuous chromatographic separation technology, which separates each component according to the difference in adsorption and distribution coefficients between the stationary phase and the mobile phase in the feed liquid. Simulated moving bed technology has applications in petrochemical, sugar industry, biopharmaceutical and fine chemical industries. [0003] The industrial-grade simulated moving bed is a complicated device, and its separation effect is not only related to solid-phase adsorbent, eluent polarity, packing and ...

AI Technical Summary

Problems solved by technology

In practice, due to many uncertain factors in the industrial field conditions, such as: changes in feed concentration, changes in isotherm parameters, stability of circulating pumps, and inconsistent filling of chromatographic columns, the resulting changes in model parameters will make the obtained initial process Parameters do not meet performance specifications for separation

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