Open AccessThe issue of dynamic optimization of a group of continuous production plants
Author(s) -
R. A. Khakimov,
A. A. Novikov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/734/1/012144
Subject(s) - matlab , process (computing) , computer science , production (economics) , alkylation , mathematical optimization , group (periodic table) , process engineering , mathematics , engineering , chemistry , organic chemistry , economics , macroeconomics , operating system , catalysis
The article describes the problem of minimizing the consumption of olefins feed, provided that the plan for the production of alkylate for the alkylation process is fulfilled. The basic principles and approaches to the solution of this problem are considered. As a practical application, the method based on interaction with predictive models was chosen. Matlab was used as the environment for development. Mathematical models describing the dynamics of the alkylation process were obtained. The models have high accuracy and can be used to solve the problem of dynamic optimization. A numerical experiment was carried out; the results of the solution were compared with the real historical data of the process and confirmed the efficiency of this solution.