Kinetics on the Integration of Methanol Aromatization with Raffinate Oil over ZSM-5/ZSM-11 Zeolite

Abstract

Facing the rapid growth of the demand for aromatic hydrocarbons, combined with China’s energy development status of “coal-rich, lean oil, and low gas”, the methanol-to-aromatics (MTA) process has good development prospects. In this paper, the influence of reaction temperature, space velocity, and other conditions on the reaction performance of methanol-coupled light hydrocarbons to aromatics was investigated and then a lumped reaction kinetics study was carried out. The results of the study are: To investigate the composition and distribution of the products obtained by the reaction, according to the needs of lumped reaction kinetics research, six lumped mixed raw materials, C1, olefin alkanes, and aromatic hydrocarbons classified by different categories were constructed; based on the MTA reaction mechanism, assuming each reaction series, the reaction network and lumped kinetic equations were established; simplex algorithm and the Levenberg–Marquardt optimization method were used to fit the regression to obtain the kinetic model parameters; through the statistical test calculation of the model, each set of the overall decisive indicators are all greater than 90% and F > 10F 0.05, so the established kinetic model of methanol-coupled light hydrocarbon to aromatics is suitable.

Catalytic Performance of Methanol to Aromatics over Hierarchical ZSM-5 Zeolite Synthesized by a Soft Template Method

“…It can be noticed that when the residence time of the mixed feedstock is too short, it passes through the reactor without complete conversion. As the contact time increases, the yield of aromatics increases . However, the selectivity of BTX decreases as the contact time of the reaction increases, probably because the contact time is too long, which causes a secondary reaction of the products of the MTA reaction.…”

“…As the contact time increases, the yield of aromatics increases. 41 However, the selectivity of BTX decreases as the contact time of the reaction increases, probably because the contact time is too long, which causes a secondary reaction of the products of the MTA reaction. Finally, 1.52 × 10 −2 g•mL −1 •min −1 was chosen as the optimal contact time.…”

Hybrid Modeling of Methanol to Olefin Reaction Kinetics Based on the Artificial Neural Network

“…13 Lumped kinetics models, by defining components with similar properties as a lumped component, focus on key reaction products and pathways, simplifying the reaction pathway and reducing the complexity of the reaction network. 14 Bos et al developed an 8-lump 13-reaction kinetics model that described the effect of catalyst deactivation by constructing an empirical correlation function. 15 Gayubo et al developed a 6-lump 8-reaction kinetics model by simplifying the reaction network based on the work by Bos et al 16 They considered the effect of water in feed, neglecting the effect of catalyst deactivation.…”

“…developed a detailed kinetics model based on the study of Mihail et al They took into account the complex reaction mechanism excluding the catalyst deactivation, making the reaction kinetics model incomplete . Lumped kinetics models, by defining components with similar properties as a lumped component, focus on key reaction products and pathways, simplifying the reaction pathway and reducing the complexity of the reaction network . Bos et al developed an 8-lump 13-reaction kinetics model that described the effect of catalyst deactivation by constructing an empirical correlation function .…”