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Titel:

Multi-criteria optimization for parametrizing excess Gibbs energy models

Dokumenttyp:
Journal Article
Autor(en):
Forte, Esther; Kulkarni, Aditya; Burger, Jakob; Bortz, Michael; Küfer, Karl-Heinz; Hasse, Hans
Abstract:
Thermodynamic models contain parameters which are adjusted to experimental data. Usually, optimal descriptions of different data sets require different parameters. Multi-criteria optimization (MCO) is an appropriate way to obtain a compromise. This is demonstrated here for Gibbs excess energy (GE) models. As an example, the NRTL model is applied to the three binary systems (containing water, 2-propanol, and 1-pentanol). For each system, different objectives are considered (description of vapor-l...     »
Stichworte:
Pareto optimization Multi-criteria optimization Parameter estimation Excess free energy models NRTL
Zeitschriftentitel:
Fluid Phase Equilibria
Jahr:
2020
Band / Volume:
522
Seitenangaben Beitrag:
112676
Volltext / DOI:
doi:https://doi.org/10.1016/j.fluid.2020.112676
WWW:
https://www.sciencedirect.com/science/article/pii/S0378381220302223
Print-ISSN:
0378-3812
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