Application of Cumene Technology Mathematical Model

Abstract

The work describes the existing problems of the technological systems for cumene synthesis catalyst AlCl3. The paper describes the stages of development of the mathematical model ofbenzene alkylation with propylene. The model allows the calculation of composition of the product stream when changing process parameters of the plant: temperature, molar ratio of benzene/propylene, feed space velocity. The error of the model does not exceed 7.5%. The computer modeling system "Alkylation" is developed in Borland Delphi 7, and the module optimization of the process parameters is called "Optimization". The calculations allowed reducing the catalyst consumption in the alkylation reactor (to 10-15%) and increasing the cumene concentration in the product mixture (to 25% wt.). The concentration of n-propylbenzene in the output stream is 0.05 wt%. The recommendations for optimization of the industrial alkylation unit are presented for implementation at OJSC "Omsky Kautchuk"

Machine Learning-assisted Prediction and Optimization of Exergy Efficiency and Destruction of Cumene Plant under Uncertainty

“…Process parameter optimization, utilizing Response Surface Methodology (RSM) and Genetic Algorithm (GA), has achieved higher net present values and yield improvements [5][6][7]. Plant-wide control structures ensure production stability, with two advanced approaches offering superior performance [8,9]. Multi-Objective Optimization (MOO) addresses environmental, safety, and economic aspects, optimizing material losses and process safety [14,15].…”

Genetic‐based multi‐objective optimization of alkylation process by a hybrid model of statistical and artificial intelligence approaches

“…Further, the performance of the RD process is more suitable in terms of yield. [4] In order to model and simulate the cumene production process, Chudinova et al [5] developed a computer model in Borland Delphi 7 to optimize the cumene production process. The operational parameters were temperature, benzene/propylene molar ratio, and feed space velocity.…”

“…Their work resulted in reduction of catalyst consumption of 10%-15% and cumene concentration increase up to 25 wt%. [5] Carlos et al [6] performed a dynamic simulation for liquid phase cumene production process. The process they investigated involved a reactor and three distillation columns with a recycled stream.…”