Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems

Publication: ResearchConference abstract for conference – Annual report year: 2012

Standard

Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems. / Mustaffa, Azizul Azri; Kontogeorgis, Georgios; Kang, Jeong Won; Gani, Rafiqul.

2012. Abstract from 18th Symposium on Thermophysical Properties, Boulder,CO, United States.

Publication: ResearchConference abstract for conference – Annual report year: 2012

Harvard

Mustaffa, AA, Kontogeorgis, G, Kang, JW & Gani, R 2012, 'Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems' 18th Symposium on Thermophysical Properties, Boulder,CO, United States, 24/06/12 - 29/06/12,

APA

Mustaffa, A. A., Kontogeorgis, G., Kang, J. W., & Gani, R. (2012). Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems. Abstract from 18th Symposium on Thermophysical Properties, Boulder,CO, United States.

CBE

Mustaffa AA, Kontogeorgis G, Kang JW, Gani R. 2012. Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems. Abstract from 18th Symposium on Thermophysical Properties, Boulder,CO, United States.

MLA

Vancouver

Mustaffa AA, Kontogeorgis G, Kang JW, Gani R. Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems. 2012. Abstract from 18th Symposium on Thermophysical Properties, Boulder,CO, United States.

Author

Mustaffa, Azizul Azri; Kontogeorgis, Georgios; Kang, Jeong Won; Gani, Rafiqul / Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems.

2012. Abstract from 18th Symposium on Thermophysical Properties, Boulder,CO, United States.

Publication: ResearchConference abstract for conference – Annual report year: 2012

Bibtex

@misc{4f8956f5cc314b09b0455e4091e80894,
title = "Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems",
author = "Mustaffa, {Azizul Azri} and Georgios Kontogeorgis and Kang, {Jeong Won} and Rafiqul Gani",
note = "Oral presentation",
year = "2012",
type = "ConferencePaper <importModel: ConferenceImportModel>",

}

RIS

TY - ABST

T1 - Development and Analysis of Original UNIFAC-CI and Modified UNIFAC-CI Models for Prediction of VLE and SLE Systems

A1 - Mustaffa,Azizul Azri

A1 - Kontogeorgis,Georgios

A1 - Kang,Jeong Won

A1 - Gani,Rafiqul

AU - Mustaffa,Azizul Azri

AU - Kontogeorgis,Georgios

AU - Kang,Jeong Won

AU - Gani,Rafiqul

PY - 2012

Y1 - 2012

N2 - Prediction of properties is important in chemical process-product design. Group-contribution (GC) methods provide useful tool but there is a need to validate and improve their accuracy when complex chemicals are present in the mixtures. In accordance with that, a combined GC and atom connectivity approach that is able to extend the application range of property models has been developed for mixture properties. This so-called GCPlus approach is a hybrid model which combines GC and valence connectivity indices (CI). The main idea is the use of CI to describe the molecular fragmentation that relates properties, the molecular interactions with the molecular structures. One established GC method is the UNIFAC model to predict liquid phase activity coefficients. The needed values of the group interaction parameters (GIPs) are obtained by fitting phase equilibrium data. There are many gaps in the UNIFAC parameter table due to lack of data. Alternative to performing measurements, values of the missing GIPs, can be predicted through the GCPlus approach. The predicted values for the GIPs are then used in the UNIFAC model to calculate activity coefficients. In this work, the model parametersfor using the GCPlus approach to the original UNIFAC and Modified (Dortmund) UNIFAC have been regressed against vapor-liquid equilibrium (VLE) data and simultaneously against VLE and solid-liquid equilibrium (SLE) data for groups formed by C, H, O, N, Cl and S atoms. Initially the VLE data used to regress those parameters are checked using a quality assessment algorithm which combines four widely used consistency tests (Herington, Van Ness, Point/Differential and Infinite Dilution tests) and also a check on the consistencies of the data with the pure component vapor pressures. The overall quality factors, QVLE obtained for each dataset indicate the quality of each datasets and can then be used as weighting factors, in the objective function for the parameter regression with VLE data (and with SLE data). The performance of the CI-models using parameters regressed against VLE data and simultaneously against VLE and SLE data are compared in terms of the uncertainties of the parameters regressed against the predicted properties and the accuracy of the predictions. In addition, the model performances are compared with their reference UNIFAC models.

AB - Prediction of properties is important in chemical process-product design. Group-contribution (GC) methods provide useful tool but there is a need to validate and improve their accuracy when complex chemicals are present in the mixtures. In accordance with that, a combined GC and atom connectivity approach that is able to extend the application range of property models has been developed for mixture properties. This so-called GCPlus approach is a hybrid model which combines GC and valence connectivity indices (CI). The main idea is the use of CI to describe the molecular fragmentation that relates properties, the molecular interactions with the molecular structures. One established GC method is the UNIFAC model to predict liquid phase activity coefficients. The needed values of the group interaction parameters (GIPs) are obtained by fitting phase equilibrium data. There are many gaps in the UNIFAC parameter table due to lack of data. Alternative to performing measurements, values of the missing GIPs, can be predicted through the GCPlus approach. The predicted values for the GIPs are then used in the UNIFAC model to calculate activity coefficients. In this work, the model parametersfor using the GCPlus approach to the original UNIFAC and Modified (Dortmund) UNIFAC have been regressed against vapor-liquid equilibrium (VLE) data and simultaneously against VLE and solid-liquid equilibrium (SLE) data for groups formed by C, H, O, N, Cl and S atoms. Initially the VLE data used to regress those parameters are checked using a quality assessment algorithm which combines four widely used consistency tests (Herington, Van Ness, Point/Differential and Infinite Dilution tests) and also a check on the consistencies of the data with the pure component vapor pressures. The overall quality factors, QVLE obtained for each dataset indicate the quality of each datasets and can then be used as weighting factors, in the objective function for the parameter regression with VLE data (and with SLE data). The performance of the CI-models using parameters regressed against VLE data and simultaneously against VLE and SLE data are compared in terms of the uncertainties of the parameters regressed against the predicted properties and the accuracy of the predictions. In addition, the model performances are compared with their reference UNIFAC models.

ER -