TY - GEN
T1 - A numerical modelling approach for dual reflux PSA separation of N2 and CH4 in LNG production
AU - Zhang, Y.
AU - Saleman, Thomas
AU - May, Eric
AU - Young, B.
PY - 2014
Y1 - 2014
N2 - In this paper, a novel, full Dual Reflux PSA (PSA) model is proposed for separating methane and nitrogen mixtures. The model is a full, integrated ODE model, in contrast to our former work where stripping PSA and enriching PSA were simulated separately and were combined using the total material balance (referred to as a transfer function model). The full model was built rigorously in a commercial simulator in terms of mass balances, energy balances and pressure-flow relationships, and it was numerically solved by the ODE solver which was integrated in the simulator. The transfer function model which was proven to have a close match with experimental data was compared to the results from the full DR-PSA model using the same key parameters, such as feed composition, total throughput, reflux ratios and cycle time, and resulted in a close match. The impact of feed position, feed temperature, feed composition and cycle time on the system was also studied with the new model. © 2014 Elsevier B.V.
AB - In this paper, a novel, full Dual Reflux PSA (PSA) model is proposed for separating methane and nitrogen mixtures. The model is a full, integrated ODE model, in contrast to our former work where stripping PSA and enriching PSA were simulated separately and were combined using the total material balance (referred to as a transfer function model). The full model was built rigorously in a commercial simulator in terms of mass balances, energy balances and pressure-flow relationships, and it was numerically solved by the ODE solver which was integrated in the simulator. The transfer function model which was proven to have a close match with experimental data was compared to the results from the full DR-PSA model using the same key parameters, such as feed composition, total throughput, reflux ratios and cycle time, and resulted in a close match. The impact of feed position, feed temperature, feed composition and cycle time on the system was also studied with the new model. © 2014 Elsevier B.V.
U2 - 10.1016/B978-0-444-63456-6.50018-1
DO - 10.1016/B978-0-444-63456-6.50018-1
M3 - Conference paper
VL - 33
T3 - Computer Aided Chemical Engineering
SP - 103
EP - 108
BT - 24th European Symposium on Computer Aided Process Engineering (ESCAPE)
PB - Elsevier
CY - Netherlands
T2 - 24th European Symposium on Computer Aided Process Engineering (ESCAPE)
Y2 - 15 June 2014 through 18 June 2014
ER -