Modeling of a Catalytic Cracking in the Gasoline Production Installation with a Fuzzy Environment

Abstract

The article offers a systematic approach to the method of developing mathematical models of a chemical-technological system (CTS) in conditions of deficit and fuzziness of initial information using available data of various types. Based on the results of research and processing of the collected quantitative and qualitative information, mathematical models of the reactor are constructed. Formalized and obtained mathematical statements of the control problem for choosing effective modes of operation of technological systems are based on mathematical modeling. Based on the obtained expert information, linguistic variables were described and a database of rules describing the operation of the input parameters of the reactor unit of the catalytic cracking unit was obtained.

Numerical and Experimental Analysis of Flow Pattern, Pressure Drop and Collection Efficiency in a Cyclone with a Square Inlet and Different Dimensions of a Vortex Finder

“…The helpful tools that can be successfully used during design and optimizing the operation of device and equipment, applied in energy production processes [31][32][33], chemical engineering [34][35][36], process engineering [37][38][39] and environmental protection processes [40][41][42] are computer simulation packages, based on specially created codes of Computational Fluid Dynamics (CFD) [43,44]. Their advantages such as the universality of application, ability to quickly modify size and geometry of designed device and also broad possibility of simulations single and multiphase flows, make them useful for analysis, re-scaling and design optimization of dust separators, including cyclones.…”

Methods for Developing Models in a Fuzzy Environment of Reactor and Hydrotreating Furnace of a Catalytic Reforming Unit

“…Using this approach, the structure of the models is identified in the form of regression models with fuzzy coefficients. Fuzzy models built on the basis of this approach are successfully used in modeling and control of a number of chemical-technological systems of oil refining [3,4,27] and can be used to model objects in other industries.…”

“…As a result of the research and processing of data results, it was established that to determine the volume of production output, i.e., y 1 hydrogenated product from the outlet of the hydrotreating reactor of the R-1 unit, on the basis of experimental and statistical data, it is possible to build a statistical model that, using a nonlinear regression equation, makes it possible to estimate the values y 1 (m 3 /h) from the input and operating parameters x i , i = 1, 5. Input and operating parameters are: x 1 -the volume of raw materials, straight-run gasoline (45-80 m 3 /h); x 2 -pressure in the reactor R-1 (20-35 kg/cm 2 ); x 3 -temperature in the reactor R-1 (300-343 • C); x 4 -volumetric feed rate (0.5-5 h −1 ); x 5 -circulating hydrogencontaining gases (HCG)-hydrogen/hydrocarbon ratio (200-500 nm 3 ). The intervals in which the input and operating parameters change are indicated in brackets.…”

“…In this regard, there are problems of optimizing the operating modes of technological objects of deep oil refining according to economic and environmental criteria in the presence of various restrictions arising in production. Increasing the productivity of deep oil refining technological facilities and the quality of products is possible through optimal control of the operating modes of technological facilities for the production of high-quality fuels based on modeling methods and multi-criteria optimization [3].…”

“…Currently, all refineries use catalytic cracking and catalytic reforming process units for the production of high-quality gasoline, which uses various catalysts and includes various blocks and interconnected process units [3,16,17].…”