Metodología para la implementación de modelos predictivos para la estimación de propiedades termodinámicas y de transporte en la simulación de procesos oleoquímicos

dc.contributorOrjuela Londoño, Álvaro
dc.contributorNarváez Rincón, Paulo César
dc.contributorGrupo de Investigación en Procesos Químicos y Bioquímicos
dc.creatorBautista Triana, William Esteban
dc.date.accessioned2021-02-02T19:51:27Z
dc.date.available2021-02-02T19:51:27Z
dc.date.created2021-02-02T19:51:27Z
dc.date.issued2020-07-07
dc.identifierW. Bautista, "Metodología para la implementación de modelos predictivos para la estimación de propiedades termodinámicas y de transporte en la simulación de procesos oleoquímicos", UN Bogotá, 2020.
dc.identifierW. Bautista, "Methodology for deployment of predictive models to estimate thermodynamic and transport properties in oleochemicals process simulation applications", UN Bogota, 2020
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/79038
dc.description.abstractProperties of a liquid oleochemicals blend (molecular weight, density, specific heat capacity, heat of combustion, vapor pressure, heat of vaporization, viscosity, and phase equilibria) could be estimated directly from pure substance properties by adjusting parameters of models and mixing rules. This document has as main goal to present a methodology to deploy models, adjusting its equation parameters to calculate thermodynamic and transport properties for oleochemicals systems in liquid phase as pure substances, and then for blends, using mixing rules. Data was collected from 131 literature sources. As a result of this work a case of study was created in Aspen Plus v10 to assess predictive capacity of the models to estimate properties values for oleochemicals pure substance and blends. It has been found a deviation of 10% on the estimated properties when polar components, such as water, methanol and ethanol, were in the blending system. Variations of 2% to 5% on the content of a component could produce deviations up to 13% of the blend property value.
dc.description.abstractLas propiedades de una mezcla líquida de oleoquímicos (peso molecular, densidad, calor específico, calor de combustión, presión de vapor, calor de vaporización, viscosidad y composición en las fases) pueden estimarse directamente a partir de las propiedades de las sustancias puras mediante el ajuste de parámetros de modelos y reglas de mezclado. Este trabajo tiene como objetivo mostrar una metodología para implementar modelos, ajustando los parámetros de las ecuaciones para calcular algunas propiedades termodinámicas y de transporte en sistemas de oleoquímicos en fase líquida como sustancias puras, y posteriormente utilizar reglas de mezclado para calcular las propiedades de las mezclas. La información utilizada consta de 131 fuentes de la literatura. Como resultado se evaluó con un caso de estudio en el simulador Aspen Plus V10 la capacidad predictiva de los modelos para la estimación de valores de propiedades de sustancias puras y de mezclas de oleoquímicos. Se encontró desviación de hasta el 10% en las propiedades estimadas al adicionar sustancias polares como agua, metanol y etanol al sistema. Variaciones del 2 al 5% en la concentración de un componente en la mezcla oleoquímica puede generar desviaciones en la estimación de la propiedad en la mezcla hasta un 13%.
dc.languagespa
dc.publisherBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Química
dc.publisherDepartamento de Ingeniería Química
dc.publisherUniversidad Nacional de Colombia - Sede Bogotá
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dc.rightsAtribución-NoComercial 4.0 Internacional
dc.rightsAcceso abierto
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.titleMetodología para la implementación de modelos predictivos para la estimación de propiedades termodinámicas y de transporte en la simulación de procesos oleoquímicos
dc.typeManual


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