Predicting Phase Equilibria Using COSMO-Based Thermodynamic Models and the VT-2004 Sigma-Profile
dc.contributor.author | Oldland, Richard Justin | en |
dc.contributor.committeechair | Liu, Y. A. | en |
dc.contributor.committeemember | Davis, Richey M. | en |
dc.contributor.committeemember | Marand, Eva | en |
dc.contributor.department | Chemical Engineering | en |
dc.date.accessioned | 2014-03-14T20:48:45Z | en |
dc.date.adate | 2004-12-07 | en |
dc.date.available | 2014-03-14T20:48:45Z | en |
dc.date.issued | 2004-11-16 | en |
dc.date.rdate | 2004-12-07 | en |
dc.date.sdate | 2004-12-02 | en |
dc.description.abstract | Solvation-thermodynamics models based on computational quantum mechanics, such as the conductor-like screening model (COSMO), provide a good alternative to traditional group-contribution methods for predicting thermodynamic phase behavior. Two COSMO-based thermodynamic models are COSMO-RS (real solvents) and COSMO-SAC (segment activity coefficient). The main molecule-specific input for these models is the sigma profile, or the probability distribution of a molecular surface segment having a specific charge density. Generating the sigma profiles represents the most time-consuming and computationally expensive aspect of using COSMO-based methods. A growing number of scientists and engineers are interested in the COSMO-based thermodynamic models, but are intimidated by the complexity of generating the sigma profiles. This thesis presents the first free, open-literature database of 1,513 self-consistent sigma profiles, together with two validation examples. The offer of these profiles will enable interested scientists and engineers to use the quantum-mechanics-based, COSMO methods without having to do quantum mechanics. This thesis summarizes the application experiences reported up to October 2004 to guide the use of the COSMO-based methods. Finally, this thesis also provides a FORTRAN program and a procedure to generate additional sigma profiles consistent with those presented here, as well as a FORTRAN program to generate binary phase-equilibrium predictions using the COSMO-SAC model. | en |
dc.description.degree | Master of Science | en |
dc.identifier.other | etd-12022004-141526 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-12022004-141526/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/35910 | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | Oldland_MS_Thesis(12-07-04).pdf | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | COSMO-RS | en |
dc.subject | VT-2004 | en |
dc.subject | computational thermodynamics | en |
dc.subject | COSMO-SAC | en |
dc.subject | COSMO | en |
dc.subject | solvation thermodynamics | en |
dc.subject | sigma profile | en |
dc.title | Predicting Phase Equilibria Using COSMO-Based Thermodynamic Models and the VT-2004 Sigma-Profile | en |
dc.type | Thesis | en |
thesis.degree.discipline | Chemical Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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