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dc.contributor.authorSu, Yung-Chiehen_US
dc.date.accessioned2014-03-14T20:36:33Z
dc.date.available2014-03-14T20:36:33Z
dc.date.issued2011-05-12en_US
dc.identifier.otheretd-05122011-142352en_US
dc.identifier.urihttp://hdl.handle.net/10919/32675
dc.description.abstractTo optimize biodiesel manufacturing, many reported studies have built simulation models to quantify the relationship between operating conditions and process performance. For mass and energy balance simulations, it is essential to know the four fundamental thermophysical properties of the feed oil: liquid density (Ï L), vapor pressure (Pvap), liquid heat capacity (CpL), and heat of vaporization (Î Hvap). Additionally, to characterize the fuel qualities, it is critical to develop quantitative correlations to predict three biodiesel properties, namely, viscosity, cetane number, and flash point. Also, to ensure the operability of biodiesel in cold weather, one needs to quantitatively predict three low-temperature flow properties: cloud point (CP), pour point (PP), and cold filter plugging point (CFPP). This article presents the results from a comprehensive evaluation of the methods for predicting these four essential feed oil properties and six key biodiesel fuel properties. We compare the predictions to reported experimental data and recommend the appropriate prediction methods for each property based on accuracy, consistency, and generality. Of particular significance are (1) our presentation of simple and accurate methods for predicting the six key fuel properties based on the number of carbon atoms and the number of double bonds or the composition of total unsaturated fatty acid methyl esters (FAMEs) and (2) our posting of the Excel spreadsheets for implementing all of the evaluated accurate prediction methods on our group website (www.design.che.vt.edu) for the reader to download without charge.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartSu_Yung-Chieh_T_2011.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectbiodieselen_US
dc.subjectoilen_US
dc.subjectpropertyen_US
dc.subjectpredicten_US
dc.subjectviscosityen_US
dc.subjectcetane numberen_US
dc.subjectcold flow propertyen_US
dc.subjectdensityen_US
dc.subjectvapor pressureen_US
dc.subjectheat capacityen_US
dc.subjectheat of vaporizationen_US
dc.titleSelection of Prediction Methods for Thermophysical Properties for Process Modeling and Product Design of Biodiesel Manufacturingen_US
dc.typeThesisen_US
dc.contributor.departmentChemical Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineChemical Engineeringen_US
dc.contributor.committeechairLiu, Y. A.en_US
dc.contributor.committeememberBaird, Donald G.en_US
dc.contributor.committeememberDurrill, Preston L.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05122011-142352/en_US
dc.date.sdate2011-05-12en_US
dc.date.rdate2011-07-14
dc.date.adate2011-07-14en_US


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