Simulation of the high-octane alkylates manufacturing considering the process unsteadiness

Dolganova, Irena; Buryhina, Elizaveta S.; Ivashkina, Elena; Bekker, Alexander

doi:10.1080/10916466.2018.1430153

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…The reason may be that some macromolecules will be generated in the side reaction, such as the reaction of some olefins and sulfuric acid to form sulphate; it may also intensify the olefin polymerization reaction and increase the HEs in the alkylation products, and these results will lead to the lower octane number of the alkylates. Therefore, a correction function for the main reaction is introduced in the model to reflect the influence of the change in acid concentration and acid–hydrocarbon ratio on the selectivity of the main reaction. The type of the correction function is as follows. where AO is the ratio of acid to hydrocarbon and w cor is the coefficient after renormalizing the acid concentration, which can more clearly reflect the influence of acid concentration on C 8 selectivity.…”

Section: Reactor Modelmentioning

confidence: 99%

Kinetic Model of Olefins/Isobutane Alkylation Using Sulfuric Acid as Catalyst

Zhicheng

Jiang

Zhang³

et al. 2022

ACS Omega

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The alkylation of isobutane and low molecular olefins using strong acid as catalysts is an important process in the petrochemical field, and its product, alkylate, is an ideal gasoline blending component due to high octane number, low vapor pressure, low sulfur, and lack of aromatics. To better meet the optimization process of the simulation of the alkylation unit, a reaction kinetic model with 20 reactions based on industrial data was developed, in which the alkylation products were divided into lumped components in detail. The reactor model was established based on the flow state and structural pattern of the industrial reactor, considering the internal circulation flow, and is suitable for the simulation of the DuPont alkylation process. Also, eventually, the model parameters were solved by the nonlinear least-squares fitting method. The results of the validation calculations showed that the kinetic model fitted the experimental data with good agreement. In addition, the reaction kinetic model was used to predict the influence of operating conditions, which is consistent with the trend in actual industrial production.

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Section: Reactor Modelmentioning

confidence: 99%