Liquid-Liquid Equilibrium Data Correlation: Predicting A Robust and Consistent Set of Initial NRTL Parameters (GUI: ParamIni_LL_NRTL)

Empreu sempre aquest identificador per citar o enllaçar aquest ítem http://hdl.handle.net/10045/134753
Información del item - Informació de l'item - Item information
Títol: Liquid-Liquid Equilibrium Data Correlation: Predicting A Robust and Consistent Set of Initial NRTL Parameters (GUI: ParamIni_LL_NRTL)
Títol alternatiu: Graphical User Interface (GUI): ParamIni_LL_NRTL
Autors: Labarta, Juan A. | Caballero, José A. | Marcilla, Antonio
Grups d'investigació o GITE: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) | Procesado y Pirólisis de Polímeros
Centre, Departament o Servei: Universidad de Alicante. Departamento de Ingeniería Química
Paraules clau: NRTL model | LLE | Fluid phase equilibria | Correlation data | Consistency | Binary interection parameters | ESCAPE33 | ParamIni_LL_NRTL | GUI | Graphical user interface
Data de creació: 13-de novembre-2022
Data de publicació: 30-de març-2023
Resum: In the present work, the NRTL model has been analyzed to obtain a good representation of the different ternary liquid-liquid equilibria that this thermodynamic model can reproduce satisfactorily. To do that, the main characteristics of different possible binary subsystems, ternary binodal curves (location in the composition diagram, size, tie-lines orientation, and plait point location), and LLLE tie triangles have been evaluated. With more than two hundred systems studied, the different behaviors have been parametrized to create, as the main objective of the present work, a database and a graphical user interface associated (ParamIni_LL_NRTL, Labarta et al. 2022. RUA: http://hdl.handle.net/10045/130017). This resource (publicly available for teaching and research uses) allows, given a set of ternary experimental LLE data to obtain by comparison with the elements of the database, a consistent set of initial NRTL parameters (taui,j, alfai,j) to start the corresponding correlation data procedure with enough guarantees.
Descripció: 33rd European Symposium on Computer Aided Process Engineering (ESCAPE33), June 18-21, 2023, Athens, Greece (Theme 8. Education and knowledge transfer: Poster 43,Board 107).
Patrocinadors: The authors gratefully acknowledge the financial support by the Ministry of Science and Innovation from Spain, under the project PID2021-124139NB-C21: SUS4Energy, 2022/00666/001 (AEI).
URI: http://hdl.handle.net/10045/134753
Idioma: eng
Tipus: info:eu-repo/semantics/conferenceObject
Drets: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)
Revisió científica: si
Apareix a la col·lecció: INV - GTP3 - Comunicaciones a Congresos
INV - CONCEPT - Comunicaciones a Congresos, Conferencias, etc.

Arxius per aquest ítem:
Arxius per aquest ítem:
Arxiu Descripció Tamany Format  
ThumbnailReferencesList_GUI_ParamIni_LL_NRTL.pdfFull list of poster references125,36 kBAdobe PDFObrir Vista prèvia
ThumbnailPoster43_107_GUI_ParamIni_LL_NRTL.pdfMain poster439,72 kBAdobe PDFObrir Vista prèvia


Aquest ítem està subjecte a una llicència de Creative Commons Llicència Creative Commons Creative Commons