Show simple item record

dc.contributor.authorBender, Neumarapt_BR
dc.contributor.authorStaudt, Paula Bettiopt_BR
dc.contributor.authorSoares, Rafael de Pelegrinipt_BR
dc.contributor.authorCardozo, Nilo Sérgio Medeirospt_BR
dc.date.accessioned2013-07-16T01:45:06Zpt_BR
dc.date.issued2013pt_BR
dc.identifier.issn0104-6632pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/75886pt_BR
dc.description.abstractCubic equations of state combined with excess Gibbs energy predictive models (like UNIFAC) and equations of state based on applied statistical mechanics are among the main alternatives for phase equilibria prediction involving polar substances in wide temperature and pressure ranges. In this work, the predictive performances of the PC-SAFT with association contribution and Peng-Robinson (PR) combined with UNIFAC (Do) through mixing rules are compared. Binary and multi-component systems involving polar and non-polar substances were analyzed. Results were also compared to experimental data available in the literature. Results show a similar predictive performance for PC-SAFT with association and cubic equations combined with UNIFAC (Do) through mixing rules. Although PC-SAFT with association requires less parameters, it is more complex and requires more computation time.en
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofBrazilian journal of chemical engineering. São Paulo, SP. vol. 30, no. 1 (Jan./Mar. 2013), p. 75-82pt_BR
dc.rightsOpen Accessen
dc.subjectPC-SAFTen
dc.subjectProcessos químicospt_BR
dc.subjectAssociation termen
dc.subjectCubic equations of stateen
dc.subjectGibbs Excess modelsen
dc.subjectPhase equilibriaen
dc.titlePerformance of predictive models in phase equilibria of complex associating systems : PC-Saft and CEoS/GEpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000877890pt_BR
dc.type.originNacionalpt_BR


Files in this item

Thumbnail
   

This item is licensed under a Creative Commons License

Show simple item record