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 language | English |
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Title of host publication | Proceedings of the 27th European Symposium on Computer Aided Process Engineering |
Publisher | Elsevier |
Publication date | 2017 |
Pages | 205-210 |
DOIs | |
Publication status | Published - 2017 |
Event | 27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 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
Conference | 27th European Symposium on Computer Aided Process Engineering |
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Number | 27 |
Country/Territory | Spain |
City | Barcelona |
Period | 01/10/2017 → 05/10/2017 |
Internet address |
Series | Computer Aided Chemical Engineering |
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Volume | 40 |
ISSN | 1570-7946 |
Keywords
- Lipids
- Phase equilibria prediction
- Group contribution