Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Catalysis Today Année : 2016

Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling

Résumé

The increasing pressure to satisfy the environmental criteria concerning oil products leads to the need for developing accurate models to predict the performances of the refining processes. In the current study, a stochastic two-step procedure using Monte Carlo techniques is applied to and validated on the hydrotreating of Light Cycle Oil (LCO) gas oils. In the first step, a mixture of molecules representative of the LCO gas oils is generated using a molecular econstruction method termed SR-REM. Subsequently, the Stochastic Simulation Algorithm (SSA) is applied to simulate the evolution of the mixture composition during hydrotreating. The results show that an accurate representation of eleven different LCO gas oils was obtained by the application of the molecular reconstruction method. The hydrotreating simulations of three LCO gas oils at different operating conditions showed a good agreement with the experimental data obtained at laboratory scale. The current stochastic procedure has demonstrated to be a valid tool for the reconstruction of the composition of LCO gas oils and the simulation of the hydrotreating process.
Fichier principal
Vignette du fichier
PP.pdf (396.19 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01338408 , version 1 (28-07-2016)

Identifiants

Citer

Maria Lopez Abelairas, Luis Pereira de Oliveira, Jan Verstraete. Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling. Catalysis Today, 2016, 271, pp.188-198. ⟨10.1016/j.cattod.2016.02.041⟩. ⟨hal-01338408⟩

Collections

IFP
50 Consultations
220 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More