Abstract

Abstract Accurate representation of the physical properties of a solvent is essential for design and simulation of processes. Density and viscosity, for instance, have an important role in modelling and designing absorption and desorption towers. In the present work, a model to accurately calculate the density of aqueous amine solutions used in CO2 capture was developed as a function of temperature and composition. The model is based on excess Gibbs energy functions, and in this work the functional form of the non-random two-liquid (NRTL) model was used. The model is able to accurately represent the density of the tested systems with deviations below 0.2% for most cases. The pure component density was calculated using the modified Rackett equation with the parameter ZRA as a function of the temperature and pressure of the system. The calculated deviation (AARD) for pure component density was below 0.09%.

Highlights

  • In the context of CO2 removal from gas streams, absorption processes with alkanolamines are the state of the art (Bernhardsen et al, 2018) and monoethanolamine (MEA) is considered the benchmark solvent

  • It is seen that the Rackett equation is able to provide accurate calculations for the liquid density, except in the region close to the fusion point for water

  • There is a deviation at low temperatures

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Summary

INTRODUCTION

In the context of CO2 removal from gas streams, absorption processes with alkanolamines are the state of the art (Bernhardsen et al, 2018) and monoethanolamine (MEA) is considered the benchmark solvent. Razi et al (2012) reviewed the impact of using different correlations in the design of CO2 capture plants using MEA as a solvent. They pointed out the uncertainties related on applying some of the correlations. Physical properties like density and viscosity have an important role in modelling and designing of absorption and desorption towers due to the significant influence on the mass transfer coefficient, kinetics and hydrodynamic behaviour (Gao et al, 2017; Àlvarez et al, 2006). A model to accurately calculate the density of liquid mixtures was developed. C are adjustable parameters and pr is the reduced pressure

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