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Modeling and Simulation of Photocatalytic Desulfurization of Model Fuel

Sadigh Saatloo, Sanaz | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57046 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Khorasheh, Farhad; Ghotbi, Siroos; Larimi, Afsaneh
  7. Abstract:
  8. The increase in demand for liquid hydrocarbon fuels in recent years in the transportation sector as well as in industry has led to an increase in the concentration of pollutants in the atmosphere. Sulfur oxides are known as one of the most challenging pollutants in the world today. In recent years, with the increase in the amount of pollutants in the air and the problems caused by them, which endanger the health of the society, sensitivities have arisen regarding the entry of pollutants into the air. Therefore, the Environmental Protection Organization has set specific standards regarding the allowed amount of sulfur in liquid fuels. One of the new ways to reduce the amount of sulfur in liquid fuels is oxidative desulfurization in the presence of photocatalysts. Photocatalytic desulfurization of liquid fuel using titanium dioxide nanocatalyst and ultraviolet light leads to the oxidation of sulfur compounds such as thiophene and benzothiophene as a result, the oxidized compounds are easily separated from the target fuel using polar solvents. In this project, the modeling of fixed bed photocatalytic reactor for two processes of water purification and oxidative desulfurization and verification of the data obtained from the model using existing experimental data were targeted. According to the results obtained for the water purification process, the data from the simulation has an error of less than 5%. And the photocatalytic reactor is able to destroy 98.6% Dibenzothiophene in 20 minutes. Also, all kinds of parametric studies have been studied by using the presented model and determining the optimal operational conditions. According to these studies, the best result was obtained at the source light intensity equal to 780 W⁄m^2, the amount of catalyst equal to 325 gr, and the number of pellets equal to 260 catalyst pellets. Despite many experimental researches, the design and modeling of photocatalytic reactors for fuel desulfurization is still a challenge. One of the effective solutions to achieve this goal is the use of computational fluid dynamics. One of the factors affecting the efficiency of the photocatalytic reactor is the way the catalyst works, which is activated by ultraviolet light. If there is no proper distribution of ultraviolet light inside the reactor, a part of the reactor will not work due to the catalyst not being activated and the efficiency will decrease
  9. Keywords:
  10. Photocatalytic Membrane Reactor (PMR) ; Oxidative Desulfurization ; Liquid Fuels ; Titanium Dioxide ; Modeling ; Simulation ; Computational Fluid Dynamics (CFD)

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