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

Properties 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.

• Autores: Bautista Triana, William Esteban
• Tipo de recurso: Work document
• Fecha de publicación: 2020
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/79038
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/79038
• Palabra clave: 660 - Ingeniería química; 620 - Ingeniería y operaciones afines; Predictive models; Oleochemicals; Blend properties; Process simulation; Mixing rules; Modelos predictivos; propiedades de mezclas; Oleoquímicos; Simulación de procesos; Reglas de mezcla
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional