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Simulation of Hydrodesulfurization Trickle Bed Reactor
-
Hadi F Farahani
Veröffentlicht/Copyright:
7. Januar 2011
The existence of sulfur in crude oil and petroleum fractions imposes plenty of harmful effects to the environment and process equipment. Therefore, elimination of these compounds from petroleum cuts has extensively been studied. In this research, the process of hydrodesulfurization of dibenzothiophene as one of the most stable sulfur components has been discussed and nonisothermal heterogeneous modeling and simulation of the three-stage trickle bed reactor has been performed. The catalyst, used in this operation, is CoMo/Al2O3. A kinetic equation, based on the Langmuir-Hingshelwood method of rate determination was incorporated into the model. The feed of the reactor was assumed to be gas oil and reactor inlet temperature and pressure were 354°C and of 70barg, respectively. The presence of stagnant liquid pockets between catalyst particles and the heat production due to highly exothermic HDS reactions have been considered in this model. The simulation results showed sulfur conversion of 99% in the final product and good agreement between the simulation results and the experimental data were achieved. In addition, two-dimensional modeling of the first bed of the reactor was conducted. The results indicated that maximum conversion rate occurred at the central axis of the reactor. The model has the ability of determining the position of the hot spots inside the reactor.
Published Online: 2011-1-7
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Schlagwörter für diesen Artikel
hydrodesulfurization;
kinetic modeling;
trickle bed reactor;
dibenzothiophene
Artikel in diesem Heft
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- Controllability of Distillation Sequences for the Separation of Ternary Mixture
- Model Order Reduction and the Heat Transfer Modelling of a Heat Exchanger by Using Artificial Neural Approach
- Polyhedral Particles Hopper Flowrate Predictions using Discrete Element Method
- Microfluidics of Nanodrug Delivery: Effect of Reynolds Number Ratio and Particle Size
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- Simulation of an Industrial Linear Low Density Polyethylene Plant
- Wet Gas Measurement with Slotted Orifice Meter--Effect of Geometry of Slots and Pressure
- Modeling of a Fixed-Bed Reactor for the Production of Phthalic Anhydride
- Nonlinear Modeling for the Degradation of Aqueous Azo Dyes by Combined Advanced Oxidation Processes Using Artificial Neural Networks
- Selection of Suitable Turbulence Models for Numerical Modelling of Hydrocyclones
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- Coupling Swelling and Water Retention Processes in Compacted Bentonite
- Adaptive Feedback Linearization Control of SISO Nonlinear Processes Using a Self-Generating Neural Network-Based Approach
- Solid-Liquid Equilibrium of Xylose in Water and Ethanol/Water Mixture
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- Modeling Traffic-Emitted Ultrafine Particle Concentration and Intake Fraction in Corpus Christi, Texas
- Optimum Acetone and Ethanol Extraction of Polyphenols from Pinus caribaea Bark: Maximizing Tannin Content Using Response Surface Methodology
- Modeling of Thin Layer Drying of Banana (Nendran Spp) under Microwave, Convective and Combined Microwave-Convective Processes
- Structured Model of VERO Cells Metabolism in a Fixed-Bed Bioreactor
- Modified Solution Approach in Modeling of Separation of Gaseous Hydrocarbons using Nanostructure MFI Zeolite Membranes with M-S Formulation and DSL and IAST Assumptions
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- Modeling of Urea Release from Briquettes Using Semi infinite and Shrinking Core Models
- Modeling and Optimization of Process Parameters by Taguchi Method: Degradation of Phenolic Compounds by UV/H2O2/TiO2 Process
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