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dc.contributor.advisorAhmed F. Ghoniem.en_US
dc.contributor.authorPatankar, Aniket Sanjay.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2020-10-18T21:14:55Z
dc.date.available2020-10-18T21:14:55Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/128040
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2020en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 251-262).en_US
dc.description.abstractSupercritical water (SCW) crude oil upgrading is a promising technology for upgrading and desulfurization of heavy crude oil and residues. The outcome of this process is determined by an interplay of hydrocarbon cracking and condensation reactions, multicomponent phase equilibrium, phase separation and coke formation, and macroscale mixing governed by uid dynamics. These individual phenomena span several lengthscales and timescales, and are closely coupled, so that it is extremely difficult to uncover physical phenomena and estimate reaction rates by empirical means alone. Modeling studies of the SCW oil upgrading process are scarce, and pose the challenge of capturing the relevant physical phenomena in a tractable and computable framework. We include a review of SCW-oil upgrading research in the present study, and highlight these modeling challenges.en_US
dc.description.abstractIn the present study, we introduce a modeling framework based on a Computational Fluid Dynamics (CFD) scheme developed in-house at the Reacting Gas Dynamics Lab at MIT, and specialized for partially miscible flows with non-ideal thermodynamics. Key features of our CFD scheme include the use of a sharp interface method with geometric advection, and a rigorous treatment of interfacial heat and mass transfer. Preliminary CFD results with a bench-scale reactor geometry are presented to highlight the computational cost of direct numerical simulations (DNS). The novel conditions of SCW oil upgrading result in large Reynolds numbers and very ne droplets at even at low ow velocities. Computational cost can be reduced significantly by developing submodels for estimating mixing rates of oil droplets in SCW. We present high-fidelity, droplet-scale mixing studies under quiescent and convective conditions.en_US
dc.description.abstractTwo mixing timescales are quantified for the partially miscible system a droplet saturation timescale and a droplet dissolution timescale. Sherwood number is quantified and droplet deformation and internal circulation within the droplet are examined. Our results suggest that these ow phenomena could lead to significantly altered fractionation and phase separation behavior during convective mixing, as compared to the quiescent case. Equilibrium composition and surface tension vary rapidly with interfacial temperature in the system of interest. We nd that internal circulation within a droplet results in a more homogeneous interfacial temperature distribution. This permits the assumption of a unique equilibrium composition along the interface. However, the strong dependence of surface tension on interfacial temperature could lead to signicant Marangoni forces along the interface.en_US
dc.description.statementofresponsibilityby Aniket Sanjay Patankar.en_US
dc.format.extent262 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleNumerical simulation of heavy oil droplets mixing in supercritical water at conditions relevant to supercritical water heavy oil upgradingen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc1200094458en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2020-10-18T21:14:46Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMechEen_US


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