- Titel
- A Numerical Algorithm for Calculating Critical Points and Its Application to Predictive Mixture Models and Binary CO₂ Mixtures
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-966346
- Quellenangabe
- International Journal of Thermophysics
Erscheinungsjahr: 2023
Jahrgang: 44
E-ISSN: 1572-9567
Artikelnummer: 170 - Erstveröffentlichung
- 2023
- Abstract (EN)
- The use of supercritical fluids in technical applications requires an accurate knowledge of their critical points. For mixtures, these can deviate significantly and without a linear dependency from the critical points of its individual pure components. Since even small amounts of admixture can have noticeable effects, this not only concerns blends of targeted compositions, but also unintentional mixtures for example caused by impurities. Within this work, a method for the calculation of critical points is presented which focuses on numerical robustness promoting a fast and reliable generation of results. Implemented into the thermodynamic property software TREND, with its mixture modeling capabilities, the method allows a flexible combination of different equations of state and mixture models which also includes predictive approaches. Against the background of an increasing relevance of mixtures based on supercritical CO₂ (sCO₂) for energy applications, critical lines are calculated and compared against experimental results for selected sCO₂-based mixtures recently considered for power plant applications. Herein, several combinations of equations of state (EoS) and mixture models are compared. Critical lines are calculated for the first time in this work with the combination of the multi-fluid mixture model with excess Gibbs energy (gᴱ) models. It was found that the critical lines calculated with the combination of the multi-fluid mixture model with the gᴱ-model COSMO-SAC yields good predictive results for the investigated CO₂ mixtures.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der Zeitschrift „International Journal of Thermophysics” im Verlag Springer Nature erschienen ist.
DOI: 10.1007/s10765-023-03275-2 - Verweis
- Ergänzendes Material ist unter folgendem Link zu finden.
Link: https://link.springer.com/article/10.1007/s10765-023-03275-2#Sec13 - Freie Schlagwörter (EN)
- Critical properties, Critical pressure, Critical temperature, COSMO-SAC, Fluid mixtures, Predictive mixture modeling, sCO₂, Supercritical, TREND
- Klassifikation (DDC)
- 530
- Verlag
- Springer Nature, Berlin
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-966346
- Veröffentlichungsdatum Qucosa
- 05.11.2025
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0