Lumped Kinetic Modeling Method for Fluid Catalytic Cracking

Abstract

A new fluid catalytic cracking (FCC) lumped kinetic modeling method was put forward to improve the prediction accuracy of the FCC kinetic model. This model divided the feedstock into three lumps and the products into six lumps. The parameters of the kinetic model were obtained by combining the fourth-order Runge-Kutta integral method and the two-swarm cooperative particle swarm optimization algorithm. Compared with dividing the feedstock according to the group composition and the distillation range, the average relative error between the experimental data and the calculated values proves the higher fitting accuracy of the new lumped method. The kinetic model established by the method exhibits better adaptability to different feedstock and fewer requirements for feedstock analysis data.

A sequential lumped kinetic modelling approach for the co-pyrolysis of plastic mixtures with a heavy refinery intermediate product in a tubular reactor

“…Molecular level models are often not feasible for petrochemical applications because of the plethora of different molecules. 34 Lumped kinetic models provide an excellent balance between complexity, scalability, and accuracy. In lump kinetic modelling chemical compounds with similar properties are grouped together into hypothetical components and only the apparent reactions between those hypothetical components are modelled.…”

Kinetic study of crude oil‐to‐chemicals via steam‐enhanced catalytic cracking in a fixed‐bed reactor

“…[8,9] Lumped kinetic modelling, where hydrocarbons with similar behaviour are grouped into pseudo-components or lumps, has been successfully adopted to accurately predict the conversion of hydrocarbons and specifically the FCC process. The number of lumps has been increased, for example, from three-lump, [10] four-lump, [11] five-lump, [12] sixlump, [13] seven-lump, [14] eight-lump, [15,16] nine-lump, [17,18] 10-lump, [19,20] and 12-lump, [21] in a bid to obtain a more detailed understanding of the reaction mechanism and the prediction of the product distribution. These lumped models have provided an excellent appreciation of the reaction network to support reactor design and reaction engineering using conventional feedstocks such as vacuum gas oil (VGO).…”