Process modeling and kinetic estimation for desulfurization of diesel fuel using nano - ZnO/Al2O3

Author:

Humadi Jasim1,Shihab Muayad1,Ahmed Ghazwan2,Ahmed Mustafa3,Abdullah Zeyad4,Sehgal Shankar5

Affiliation:

1. Department of Petroleum and Gas Refining Engineering, College of Petroleum Processes Engineering, Tikrit University, Slah Al-deen, Iraq

2. Chemical Engineering Department, College of Engineering, Tikrit University, Iraq

3. Ministry of oil, North Refineries Company, Baiji Refinery, Slah Al-deen, Iraq

4. The State Company for Drugs industry and Medical Appliances, Slah Al-deen, Iraq

5. Mechanical Engineering, UIET, Panjab University, Chandigarh, India

Abstract

In the present paper, a gamma alumina (?-Al2O3) loaded zinc oxide (ZnO) nano-catalyst (ZnO/?-Al2O3) has been synthesized and used to accelerate the removal of sulfur compounds from light gas oil by oxidative desulfurization (ODS) process. The synthesized nano-catalysts have been characterized by atomic force microscopy (AFM) and Brunauer-Emmett-Teller (BET). The ODS process has been conducted in a batch reactor at various reaction temperatures and batch times varying between 30 to 90 ?C and 20 to 80 min, respectively. DBT removal was highest (93.781%) while using synthesized nano-catalyst (9% ZnO/?-Al2O3) at 90?C and 80 min reaction time. Based on the obtained experimental data, a new mathematical modeling technique was performed for the ODS operation under mild experimental conditions to evaluate the most appropriate kinetic variables for the newly synthesized nano-catalysts. Simulation results indicate a good match with experimental observations with less than 5% absolute average error for all runs. The optimization procedure of the process condition displays that > 98% DBT could be eliminated within 200 min, at 87 ?C, in the existence of synthesized nano-catalyst (9% ZnO/?-Al2O3).

Publisher

National Library of Serbia

Subject

General Chemical Engineering

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