Development of Vacuum Residue Hydrodesulphurization–Hydrocracking Models and Their Integration with Refinery Hydrogen Networks

Abstract

In recent years, there has been an increase in vacuum residue hydroprocessing due to the decrease in fuel oil demand and an increase in distillate demand. This work characterizes vacuum residue hydrodesulphurization and hydrocracking processes and their integration with hydrogen networks to evaluate holistic interactions between hydrogen consumers and the hydrogen distribution system. Conversion models for sulfur, conradson carbon residue, asphaltenes, and vacuum residue have been developed based on the feed quality, catalyst properties, and process operating conditions. A five-lump yield model is derived incorporating a feedstock characteristic index and true boiling points. The results of the proposed model show reasonable accuracy with experimental data [Yang et al. J. Fuel Chem. Technol. (Beijing, China) 1998, 5]. A simultaneous optimization of hydrogen consumer models and the hydrogen network model is executed using the CONOPT solver in the General Algebraic Modeling System environment. Sensitivity analysis is carried out on the integrated framework to demonstrate the influence of varying operating conditions on product yields. As expected, the outcomes validate attainable trends in the industry.

Adaptive Weighted Hybrid Modeling of Hydrocracking Process and Its Operational Optimization

“…Each lump is considered as a pseudocomponent and has constant properties. 3,4 Continuous lumping technology does not employ the fixed number of lumps but considers the hydrocarbon mixture as a continuum. 5 The reactant concentration is represented by a continuous distribution of some property (most commonly true boiling points).…”

“…Discrete lumping, as one kind of FPMs, is a relatively simple but practical technology to simulate HCUs. , It usually classifies lumps based on boiling point ranges. Each lump is considered as a pseudocomponent and has constant properties. , Continuous lumping technology does not employ the fixed number of lumps but considers the hydrocarbon mixture as a continuum . The reactant concentration is represented by a continuous distribution of some property (most commonly true boiling points). , To gain more understanding of molecular structures and the reactions in hydrocracking, structure-oriented lumping and single-event technology are developed.…”

Simulation and Modeling-Based Refinery Hydrogen Network Integration with Process Risk Analysis

“…Lou et al 27 proposed a heuristic thermodynamic irreversibility-based design method for hydrogen utility minimization. Umana et al 28 proposed hydrodesulfurization and hydrocracking reaction and separation models and developed a corresponding hydrogen network model for hydrogen production cost minimization. Wang et al 29 established a mathematical model for hydrogen networks to minimize the total exergy consumption including fresh hydrogen, compression work, and purification.…”

Modeling the Hydrocracking Process with Deep Neural Networks

“…It converts heavy oil fractions (e.g., vacuum gas oil (VGO)) into valuable products with lower boiling points (e.g., gasoline, kerosene, and diesel). Due to the operating flexibility, high yields of light products, and good quality of products, hydrocracking has become an important unit in modern refineries. , On the one hand, the refinery’s profit is highly dependent on the optimization level of different units, which is further dependent on the simulation models. Therefore, it is vital to develop accurate simulation models.…”