Date of Publication

12-12-2022

Document Type

Dissertation/Thesis

Degree Name

Master of Science in Chemical Engineering

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Thesis Advisor

Vergel C. Bungay
Nathaniel P. Dugos

Defense Panel Chair

Cynthia F. Madrazo

Defense Panel Member

Aileen H. Orbecido
Dennis N. Yu

Abstract/Summary

Distillation is one of the most important separation processes, where one of its common application is the separation of alcohol-water mixtures through the addition of mass separating agents (MSAs), especially in the biodiesel industry. To design a distillation column for this process, the vapor-liquid equilibrium (VLE) of a given mixture is important, which can be calculated by modelling using the group contribution models. The application of these models does not require experimental data, thereby freeing the industries from experimentations that consumes too much resources. The most comprehensive group contribution model existing so far is the UNIFAC Dortmund model, which can accurately predict the VLE of a wide range of systems. Although the model can certainly provide good prediction results at VLE, some problems are encountered such as the existing UNIFAC Dortmund parameters that are causing high errors when applied for the prediction of VLE, and the absence of parameters for certain interactions. Therefore, this study was conducted which aimed at the VLE modelling of 19 different systems with and without MSAs using the UNIFAC Dortmund model, where the estimation of the new parameters for the CNH2-OH interaction and the revision of the existing binary interaction parameters involving NaCl and KCl and were performed. To determine the parameters, optimization programs were created using MATLAB, where the calculated parameters were applied in the prediction of VLE of the systems considered. The resulting VLE were compared to the experimental VLE of the systems found in the literatures. Results showed that the new parameters for the CNH2-OH interaction provided good prediction results for the ethanol, water and TRIS system. Furthermore, the revised parameters for NaCl and KCl predicted the VLE of systems with salt that are in good agreement with the experimental VLE of these systems, showing that they are more reliable for prediction than the existing parameters from the literature. Poor prediction results are obtained for quaternary mixtures with high percentage of water and salt, and aqueous systems with high percentage of glycerol or ethylene glycol. In these systems, it was found out that the UNIFAC Dortmund model does not consider the proximity effects such as the effect of the OH groups of glycerol with each other and the effect of the alkyl chain towards a given OH group within an alcohol molecule.

Abstract Format

html

Language

English

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2022_Balboa_PreliminaryPages.pdf (283 kB)
Preliminary Pages

2022_Balboa_PageswithSignature.pdf (288 kB)
Approval Sheet

2022_Balboa_Chapter1.pdf (167 kB)
Introduction

2022_Balboa_Chapter2.pdf (316 kB)
Review of Related Literature

2022_Balboa_Chapter3.pdf (456 kB)
Theoretical Framework

2022_Balboa_Chapter4.pdf (866 kB)
Methodology

2022_Balboa_Chapter5.pdf (1109 kB)
Results and Discussion

2022_Balboa_Chapter6.pdf (179 kB)
Conclusion

2022_Balboa_References.pdf (175 kB)
References

2022_Balboa_AppendixA.pdf (441 kB)
Raw Data

2022_Balboa_AppendixB.pdf (204 kB)
Residual Plots

2022_Balboa_AppendixC.pdf (302 kB)
Programs

Embargo Period

12-11-2022

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