The escalating global demand for light-end products, including low-sulfur diesel and gasoline, has prompted refineries to undergo strategic modernization efforts. This involves optimizing processes to efficiently handle heavy crude oil and transform it into high-value, user-friendly products. Slurry-phase hydrocracking is an advancing technology to enhance the production of these essential fuels, aligning with evolving market requirements and environmental regulations. The work encompasses crucial aspects such as potential hydrocracking reactions, lump kinetics, and product yield, all meticulously examined through the modelling and simulation of the Slurry-Phase Reactor (SPR). This study highlights the feasibility of integrating Computational Fluid Dynamics (CFD) simulation with Mixing Cell Network (MCN) modelling of SPR to account back-mixing effects with different lump reaction kinetics. CFD proves its importance for studying SPRs’ local hydrodynamics as compared to experimental investigation. Local level hydrodynamics of a lab-scale SPR were investigated and effectively utilized in MCN modelling. It encompasses the validation of product yield distribution derived from the developed MCN and Axial Dispersed Model (ADM) with experimental data and it also includes the comparison of hydrodynamic parameters reported in existing literature. An average absolute error of 3.85 % in the product yield was obtained between experiments and the developed MCN model. The residue conversion of 82.84% was achieved, followed by 29% of asphaltene, to explore insights into physicochemical properties characterized by product distribution. Further, the detailed product distribution and mass yield of each lump kinetic model was reported. Sensitivity analysis was conducted to investigate the impact of dispersion correlation on conversion initial bubble size on hydrodynamics and reaction conversion in the SPR.
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