Development of a computational tool for designing multicomponent distillation columns

2020 ◽  
Vol 28 (4) ◽  
pp. 908-922
Author(s):  
João P. M. Cardoso ◽  
Katia Tannous

1996 ◽  
Vol 35 (8) ◽  
pp. 2777-2781
Author(s):  
Yang Zhicai ◽  
Wu Di ◽  
Yang Zhaoxia ◽  
Zhang Ronglan


SIMULATION ◽  
1990 ◽  
Vol 54 (4) ◽  
pp. 201-209 ◽  
Author(s):  
Y.S. Yiu ◽  
G.A. Carling ◽  
R.K. Wood


1998 ◽  
Vol 53 (20) ◽  
pp. 3601-3612 ◽  
Author(s):  
Roberto Baratti ◽  
Alberto Bertucco ◽  
Alessandro Da Rold ◽  
Massimo Morbidelli


1960 ◽  
Vol 1 (1) ◽  
pp. 1816-1824
Author(s):  
H.H. Rosenbrock ◽  
A.B. Tavendale ◽  
C. Storey ◽  
J.A. Challis


2019 ◽  
Vol 14 (4) ◽  
Author(s):  
Mitra Sadat Lavasani ◽  
Rahbar Rahimi ◽  
Mortaza Zivdar ◽  
Mohammad Kalbassi

Abstract A novel three-dimensional computational fluid dynamics mass transfer (CMT) model in Eulerian–Eulerian frame work is deploys for investigating the concentration profiles, and trays efficiencies in multicomponent distillation columns. The proposed model is based on Maxwell Stefan equations, and CFD was employed as a powerful tool to model the hydrodynamics and mass transfer. The two phases are modelled as two interpenetrating phases with interphase momentum, heat and mass transfer. The Closure model is developed for mass interphase transfer rate in ternary mixtures. The predictability of the mass transfer behaviours of multicomponent can result in a more efficient and predictable design of distillation trays. Two non-ideal ternary mixtures were studied. The tray geometry and operating conditions are based on the experimental works of Kalbassi and the composition profiles, tray efficiencies, and point efficiencies of mixtures were presented. The obtained results were confirmed by the experimental data. The results indicate that the values of individual component tray efficiencies and point efficiencies for these multicomponent systems were considerably different which confirm the interactive nature of the mass transfer in multicomponent mixtures. These mixtures also illustrated different point efficiencies across the tray because of the composition dependency of these mixtures. The average relative error for the prediction of efficiencies is about 8 %, which indicates the accuracy of the model.





1992 ◽  
Vol 18 (2) ◽  
pp. 152-158
Author(s):  
Hayatoshi Sayama ◽  
Kengo Shimizu ◽  
Youichi Tozawa ◽  
Yoshimasa Kameyama ◽  
Kazuhiko Suzuki


AIChE Journal ◽  
2004 ◽  
Vol 50 (6) ◽  
pp. 1129-1149 ◽  
Author(s):  
Stefan Brüggemann ◽  
Wolfgang Marquardt


2003 ◽  
Vol 27 (3) ◽  
pp. 363-383 ◽  
Author(s):  
Mariana Barttfeld ◽  
Pı́o A. Aguirre ◽  
Ignacio E. Grossmann


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