scholarly journals Vapor Liquid Equilibrium Measurements of Two Promising Tertiary Amines for CO2 Capture

Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 951 ◽  
Author(s):  
Diego D. D. Pinto ◽  
Znar Zahraee ◽  
Vanja Buvik ◽  
Ardi Hartono ◽  
Hanna K. Knuutila

Post combustion CO2 capture is still a rather energy intense, and therefore expensive, process. Much of the current research for reducing the process energy requirements is focused on the regeneration section. A good description of the vapor liquid equilibrium of the solvent is necessary for the accurate representation of the process. 3-(Diethylamino)-1,2-propanediol (DEA-12-PD) and 1-(2-hydroxyethyl)piperidine (12-HEPP) have been proposed as potential components in solvent blends for the membrane contactor. However, there are few available experimental data for these two tertiary amines making difficult to accurate simulate such process. In this work, we provide experimental data on the pure component saturation pressure (383 to 443 K) and on VLE of aqueous solutions of these amines (313 to 373 K) in order to fill part of the data gap. The data were used to estimate model parameters used to represent the data. The saturation pressure was modeled using the Antoine equation and the deviation is calculated lower than 2%. The NRTL model was used in this work to calculate the activity coefficients in the aqueous systems. The deviations in pressure for the aqueous systems were lower than 5% in both systems.

2014 ◽  
Vol 936 ◽  
pp. 1007-1011
Author(s):  
Xiao Hong Wang

The saturated vapor pressures of m-xylylenediamine (MXDA) were measured with the static method at the temperatures between 150-180°C, and the Antoine parameters of MXDA were regressed. The Vapor-Liquid Equilibrium (VLE) data of aniline-MXDA system at pressure of 4 kPa were determined. The VLE data were tested by the integral method proposed by Herington and showed to meet thermodynamic consistency. Wilson Equation was used to correlate the experimental data and the model parameters were determined. The calculated data from Wilson Equation agreed well with the experimental data of the above binary system.


Author(s):  
Ernesto A Martínez ◽  
Marco Giulietti ◽  
Mauricio Uematsu ◽  
Silas Derenzo ◽  
João B Almeida e Silva

This work deals with the study of thermodynamical models for the solid-liquid equilibrium (SLE) and comparing its performance with experimental data. The xylose solubility in the xylose-water and xylose-water-ethanol systems has been measured using a variant of the isothermal method. A total of 12 experiments were performed in a 100 mL glass jacketed crystallizer with helix-type agitator by changing the temperature from 0 to 60°C. The solution was mixed during 72 h with an IKA Labortechnic, RW 20.n agitator at 450 rpm. Later, the experimental and reported results were fitted using the prediction models based on the vapor-liquid-equilibrium (UNIFAC (Universal Functional Activity Coefficient), ASOG (Analytical Solutions of Groups) and GSP (Group Solubility Parameter); semi-empirical models based on the vapor-liquid-equilibrium (VLE) (UNIQUAC (Universal Quasi Chemical), Wilson and NRTL (Non Randon Two Liquid)) on the solid-liquid-equilibrium, and empirical model with fitted parameters (Nývlt, λh, Margules with 1 and 2 parameters). The results showed that the UNIQUAC model with fitted parameters can describe the SLE with reasonable accuracy (1.28 and 3.36% for binary and ternary systems, respectively). The average deviation was the arithmetic mean of the deviations. On the other hand, the other methods resulted in poor agreement with the system’s behavior presenting systematic deviations from the experimental data.


2006 ◽  
Vol 45 (7) ◽  
pp. 2341-2350 ◽  
Author(s):  
Ana M. A. Dias ◽  
Hervé Carrier ◽  
Jean L. Daridon ◽  
Josep C. Pàmies ◽  
Lourdes F. Vega ◽  
...  

2011 ◽  
Vol 396-398 ◽  
pp. 968-972
Author(s):  
Wen Lin Zhang ◽  
Nan Meng ◽  
Ru Yi Sun ◽  
Chun Li Li

Vapor-liquid equilibrium data of hexamethyl disiloxane + ethyl acetate system at 101.3kPa were measured by using double circulating vapor-liquid equilibrium still. The thermodynamic consistency of the VLE data was examined by Herrington method. Experimental data was correlated by NRTL and UNIQUAC parameter models. Both of the models satisfactorily correlated with the VLE data. The result showed that the NRTL model was the most suitable one to represent experimental data satisfactorily and the system had a minimum temperature azeotrope at 350.31 K and the mole azeotropic composition was 0.0330.


2011 ◽  
Vol 396-398 ◽  
pp. 973-976
Author(s):  
Cheng Xue Wang ◽  
Rui Xia Jiang

The vapor-liquid equilibrium (VLE) data for the binary systems ethanol-water (1), propylene oxide (PO)-ethanol (2), PO-water (3) and the ternary system PO-ethanol-water (4) were determined at 101.3kPa. The binary VLE data measured passed the thermodynamic consistency verification. The experimental VLE data of the binary systems were correlated with the nonrandom two-liquid (NRTL) models. The results show that the values of molar fraction of the ternary system (4) in vapor phase from the binary NRTL parameters agree well with the experimental data.


2020 ◽  
Vol 8 (6) ◽  
pp. 3795-3801

Vapor-Liquid Equilibrium (VLE) data are important for the design, analysis, control, and modeling of process equipment such as distillation columns, absorbers, and reactors in the chemical industries. In the present study, widely employed feed-forward neural network i.e. multi-layer perceptron (MLP) has been used to develop MLPNN-based models. The MLPNN possesses an ability of learning and generalizing the nonlinear relationships that exist between the input(s), and related output(s) data set. The MLPNN-based VLE models have been developed for prediction of vapor phase composition of ternary system (benzene + cyclohexane + anisole) by using experimental data. The inputs for model development contain physical property of the pure components (acentric factor) and thermodynamic parameters (equilibrium temperature, liquid phase composition). The proposed MLPNN-based model is trained by using an error-back propagation (EBP) algorithm. Total number of experimental data points were extracted from literature is 117 in which 75% i.e. 88 data points were used as training set for developing the MLPNN models and the 25% i.e.29 data points were used as test set for assessing generalization ability of the developed MLPNN models. It has been observed that data predicted by MLPNN-based models possesses good prediction accuracy and generalization ability of proposed models.


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