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dc.contributor.author
Cotabarren, Natalia Soledad
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Velez, Alexis
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Hegel, Pablo Ezequiel
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Pereda, Selva
dc.date.available
2017-11-21T18:08:45Z
dc.date.issued
2016-05-31
dc.identifier.citation
Cotabarren, Natalia Soledad; Velez, Alexis; Hegel, Pablo Ezequiel; Pereda, Selva; Prediction of volumetric data in supercritical reactors; American Chemical Society; Journal of Chemical and Engineering Data; 61; 8; 31-5-2016; 2669-2675
dc.identifier.issn
0021-9568
dc.identifier.uri
http://hdl.handle.net/11336/28644
dc.description.abstract
Pressure intensified processes are characterized by handling mixtures whose density is highly dependent on the operating conditions. In addition, fluid behavior in this type of equipment is clearly non-ideal. Therefore, the frequent assumption of ideal mixing for calculating the mixture density is inaccurate. Prediction of volumetric information of mixtures is important for the design of continuous supercritical reactors and other process equipments such as heat exchangers, high-pressure pumps, compressors, etc. The isochoric method is a simple and reliable procedure to measure mixture densities and find conditions of homogeneous operation of supercritical chemical reactor at high temperature and pressure. Moreover, it also provides PvT properties simultaneously.It is well known that the two-parameter equations of state (2P-EoS), like Soave-Redlich-Kwong or Peng-Robinson, have limitations to describe accurately the PvT properties of different fluids together with the phase transitions. The three-parameter RK-PR equation of state (3P-EoS), known as the generalized Redlich-Kwong-Peng-Robinson is able to correlate and predict volumetric properties of size-asymmetric mixtures. In this work, RK-PR, coupled with the standard quadratic mixing rules, is used to model volumetric experimental data of non-reacting size-asymmetric binary systems. Moreover, based on that modeling, we predict volumetric properties of reacting mixtures in the context of supercritical biodiesel production.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Biodiesel Production
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Pr Equation of State
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Supercritical Reactors
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Volumetric Properties
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Otras Ingeniería Química
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Ingeniería Química
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Prediction of volumetric data in supercritical reactors
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-10-26T14:30:12Z
dc.journal.volume
61
dc.journal.number
8
dc.journal.pagination
2669-2675
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington
dc.description.fil
Fil: Cotabarren, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Velez, Alexis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Hegel, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Pereda, Selva. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.journal.title
Journal of Chemical and Engineering Data
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/acs.jced.6b00110
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/acs.jced.6b00110
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