A Systematic Identification Method for Thermodynamic Property Modelling

Olivia Ana Perederic, Larissa Cunico, Bent Sarup, John Woodley, Rafiqul Gani

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this work, a systematic identification method for thermodynamic property modelling is proposed. The aim of the method is to improve the quality of phase equilibria prediction by group contribution based property prediction models. The method is applied to lipid systems where the Original UNIFAC model is used. Using the proposed method for estimating the interaction parameters using only VLE data, a better phase equilibria prediction for both VLE and SLE was obtained. The results were validated and compared with the original model performance
Original languageEnglish
Title of host publicationProceedings of the 27th European Symposium on Computer Aided Process Engineering
PublisherElsevier
Publication date2017
Pages205-210
DOIs
Publication statusPublished - 2017
Event27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain
Duration: 1 Oct 20175 Oct 2017
Conference number: 27
https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Conference

Conference27th European Symposium on Computer Aided Process Engineering
Number27
CountrySpain
CityBarcelona
Period01/10/201705/10/2017
Internet address
SeriesComputer Aided Chemical Engineering
Volume40
ISSN1570-7946

Keywords

  • Lipids
  • Phase equilibria prediction
  • Group contribution

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