A Comparative Survey of Modeling Absorption Tower Using Mixed Amines

Authors

1 Chemical Engineering Department, Islamic Azad University, North Branch

2 School of Chemical Engineering, College of Engineering, University of Tehran

3 University of Tehran, College of Engineering

Abstract

In natural gas treatment, the removal of CO2 and H2S in acid gases is a critical concern. There are various purification technologies that can be used for the removal of acid gas impurities. Absorption of acid gas into amines is one preferred method in gas industries. In the past, single amines was used, but recently in order to improve absorption performance, mixed amines with different solubility and reaction rates have been used.
In this study, artificial neural network ANN is used as a method to model the absorption tower when uses mixed amines. A specified model which is simple in calculation and good in accuracy was developed. In this model back propagation learning is used and the corresponding parameters have been optimized. Finally, the new method has been compared with conventional mass transfer and equilibrium methods. The obtained results confirmed the simplicity and accuracy of the developed method.

Keywords

References

[1] Mandal, B. P. and Bandyopadhyay, S. S. (2005). “Simultaneous absorption of carbon dioxide and hydrogen sulfide into aqueous blends of 2-amino-2-methyl-1-propanol and diethanolamine.” Chemical Engineering Science., Vol. 60, No. 22, PP. 6438 – 6451.
[2] Lu, J. G., Zheng, Y. F. and He, D. L. (2006). “Selective absorption of H2S from gas mixtures into aqueous solutions of blended amines of methyl diethanolamine and 2-tertiarybutylamino-2-ethoxyethanol in a packed column.” Separation and Purification Technology., Vol. 52, No. 2, PP. 209–217.
[3] Kohl. A. L. and Nielsen. R. B. (1997). Gas purification. 5th. Ed. Gulf publishing company, Houston, TX.
[4] Danckwerts, P. V. (1995). “Gas absorption accompanied by chemical reaction.” AIChE Journal, Vol. 1, No. 4, PP. 456–463.
[5] Vickery, D. J., Adams, J. T. and Wright, R. D. (1992). “Benefits from the rigorous mass transfer rate approach to modeling acid gas absorption using mixed amines.” Conf. Distillation and Absorption '92, Birmingham, England, PP. B241-B252.
[6] Mohamadirad, R., Hamlehdar, O., Boor, H., Fattahi-Monavar, A. and Rostami, Sh. (2011). “Mixed amines application in gas sweetening plants.” Chemical Engineering Transactions, Vol. 24, PP. 265-270.
[7] Kent, R. L. and Eisenberg, B. (1976)."Better data for amine treating." Hydrocarbon Processing. Vol. 55, No. 2, PP. 87-90.
[8] Moshfeghian, M. and Maddox, R. N. (1991). "Optimization of chemical reaction parameter for sour gases and alkanol amine system." AL. Azhar Engineering 2nd Int. Conf. Egypt.
[9] Maddox, R. N. (1982). Gas sweetening. 3rd. ED. McGraw Hill.
[10] Leye, L. D and Froment, G. F. (1986). "Rigorous simulation and design of columns for gas absorption & chemical reaction 2.” Computer and Chemical Engineering, Vol. 10, No. 5, PP. 505-515.
[11] Baghli, N. A., Pruess, S. A., Yesavage, V. F. and Selim, M. S. (2000). "A rate based model for the design of gas absorbers for the removal of CO2 and H2S using aqueous solution of MEA & DEA."14thsym of Thermophysical Properties, USA.
[12] Ouwerkerk, C. (1978). “Design for selective H2S absorption.” Hydrocarbon Processing, Vol. 57, No. 4, PP. 89-94.
[13] Cornelissen, R. and Beenackers, A. C. (1986). “Numerical accompanied by complex reversible reactions.” Chemical Engineering Science, Vol. 35, PP. 740-741.
[14] Finlayson, B. A. (1981). Nonlinear analysis in chemical engineering. McGraw Hill.
[15] Demidorich, B. P. and Maron, I. A. (1981). Computational mathematics. Mir publishers.
[16] Picton, P. (2000). “Neural networks,” 2th. ED. McGraw Hill.
[17] Bulsari, A. B. (1995). “Neural networks for chemical engineering.” Elsevier, Amsterdam.
[18] Stein, R. (1993). “Pre-Processing data for neural networks.” AI expert, 33 – 37.
[19] Roman, M. B. and Ekaterina I. L. (2009). "Neural network approach to quantum chemistry data: Accurate prediction of density functional theory energies." J. Chem. Phys. Vol. 131, No. 7, 074104.
[20] Saremi, H. S. and Abdi, N. (2001). ”Blending amines debottlenecks Iranian gas plant.” OGJ, Vol. 98, No. 46, PP. 60-61.
[21] Spears, M. L., Kathy, M. H., Jerry, A. B. and Carl, J. M. (1996). “Converting to DEA/MDEA mix UPS sweetening capacity.” OGJ, Vol. 63, No. 2, PP. 63-67.
[22] Mc. H.Y. (1994). “New MDEA design in gas plant improves sweetening reduces CO2 .” OGJ, Vol. 83, No. 29, PP. 83-86.

Files

Share

How to cite

Statistics