Modeling of Sulfur Removal from Heavy Fuel Oil Using Ultrasound-Assisted Oxidative Desulfurization
AuthorsHernandez Ponce, Claudia
AdvisorsRoberts, William L.
KAUST DepartmentPhysical Science and Engineering (PSE) Division
Embargo End Date2021-08-11
Permanent link to this recordhttp://hdl.handle.net/10754/664544
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Access RestrictionsAt the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis will become available to the public after the expiration of the embargo on 2021-08-11.
AbstractGrowing environmental concerns, such as global warming, are giving rise to new regulations imposed by the International Maritime Organization (IMO) on sulfur content for marine fuels, thus, constraining refining processes. Oxidative desulfurization (ODS) is an appealing desulfurization method with some advantages over traditional processes like hydrodesulfurization (HDS), such as mild operating conditions and no-hydrogen consumption. ODS could be employed as a complementary or alternative process for HDS. During the oxidative desulfurization, the organo-sulfur compounds are oxidized to polar sulfones. Then, such sulfones are separated from the treated fuel oil using techniques such as liquid-liquid extraction. In the present work, the separation of oxidized sulfur-containing compounds of heavy fuel oil using ultrasound-assisted technology has been investigated and simulated in Aspen Plus. The oxidant selected was hydrogen peroxide, while the catalyst was acetic acid. The chosen solvent for the sulfone separation was acetonitrile. The primary goal of this work is to successfully emulate the operation performed by an oxidative desulfurization pilot plant-scale apparatus designed by Tecnoveritas®, which will later allow the analysis of the parameters on the overall sulfur removal efficiency.