文献类型：专利

英文题名：Hydrogenation refining process optimization operation of crude terephthalic acid comprises utilizing particle swarm intelligent optimization based on phase angle to correct kinetic model parameters and optimize operation parameters

作者：QIAN F;ZHONG W;DU W;ZHOU J;LUO N

机构：[1]UNIV EAST CHINA SCI & TECHNOLOGY

申请号：CN100557530-C

公开日：2009-11-04

语种：英文

收录：DERWENT

摘要：NOVELTY - Hydrogenation refining reaction process optimization operation of crude terephthalic acid comprises collecting real-time and history data of an industrial reactor; feeding materials to crude terephthalic acid and obtaining manual analysis values; collecting refined terephthalic acid sample, analyzing and obtaining sampling values at reactor outlet while calculating the predicting values by kinetic model and reactor; and utilizing particle swarm intelligent optimization based on phase angle to correct the kinetic model parameters and optimize the operation condition parameters. USE - Method for optimization of hydrogenation refining process of crude terephthalic acid (claimed). ADVANTAGE - The method corrects kinetic model by applying particle swarm optimization based on phase angle and optimizes the technical conditions by applying particle swarm optimization based on phase angle again according to the actual industrial product target to achieve accurate description of the chemical reaction process. The optimization operation method increases the precision for the model to describe the chemical industrial reaction process and provides basis and gist for improving production technique. It saves power and reduces consumption. DETAILED DESCRIPTION - Hydrogenation refining reaction process optimization operation of crude terephthalic acid comprises (A) collecting real-time and history data of an industrial reactor; (B) feeding materials to crude terephthalic acid and obtaining manual analysis value of concentration of crude terephthalic acid, content of para-carboxyl benzaldehyde and para-methyl phenylformic acid in crude terephthalic acid, height of catalyst bed layer, and mass of catalyst filled in unit bed layer volume; (C) at the fifth crystallizer behind an industrial reactor, collecting refined terephthalic acid sample, analyzing and determining contents of para-carboxyl benzaldehyde, para-hydroxymethyl benzaldehyde, para-methyl phenylformic acid, and phenylformic acid, obtaining sampling values of the contents of para-carboxyl benzaldehyde, para-hydroxymethyl benzaldehyde, para-methyl phenylformic acid, and phenylformic acid at the outlet of the reactor by material balance calculation, while calculating the predicting values of the contents of para-carboxyl benzaldehyde, para-hydroxymethyl benzaldehyde, para-methyl phenylformic acid and phenylformic acid at the outlet of the reactor by kinetic model and reactor model according to different work condition data and the obtained manual analysis values at the sampling moments; (D) utilizing particle swarm intelligent optimization based on phase angle, the dimension amount of the particle corresponds to the amount of the parameters of the model to be corrected, position values of all the dimension correspond to values of the model, phase angle of each dimension corresponds to angle position of each parameter of the model, calculating suitability degree of each particle in the particle swarm, and correcting the kinetic model parameters until the correction target is achieved; and (E) utilizing particle swarm intelligent optimization based on phase angle, the dimension amount of the particle corresponds to amount of the parameters of the operation conditions to be corrected, position values of all the dimensions correspond to parameter values of the operation conditions, phase angle of each dimension corresponds to angle position of each parameter of the technical operation conditions, calculating suitability degree of each particle in the particle swarm, and optimizing the operation condition parameters until the optimization target is achieved.