Modeling and Simulation of the Gas Absorption Process in the Liquid Phase

Article Preview

Abstract:

In this paper, a solution for the modeling and simulation of the gas absorption process in a liquid is presented. In the modeling procedure, the technological process is decomposed in two sub-processes connected in series, the first sub-process being considered a lumped parameter one, respectively the second sub-process being considered a distributed parameter one. In order to simulate, with a high accuracy, a process that includes in its structure a distributed parameter sub-process, an original method based on the matrix of partial derivatives of the state vector, associated with Taylor series, is used. The modeling-simulation procedure introduces the premise to approximate the concentration value of the gas absorbed in liquid, in relation to the initial pressure from the reactor, respectively the premise of including the technological process in a concentration control structure.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

81-94

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] H. Dang, G.T. Rochelle, CO2 absorption rate and solubility in monoethanolamine/ piperazine/water, Separation Sci. & Tech., 38 (2) (2003), p.337–357.

DOI: 10.1081/ss-120016678

Google Scholar

[2] R. Dugas, G. Rochelle, Absorption and desorption rates of carbon dioxide with monoethanolamine and piperazine, Energy Procedia, Vol. 1 (1), (2009), p.1163–1169.

DOI: 10.1016/j.egypro.2009.01.153

Google Scholar

[3] J. Zhang, Z. Pan , K. Liu, N. Burke, Molecular Simulation of CO2 Solubility and Its Effect on Octane Swelling, Energy Fuels, 27 (5), (2013), p.2741–2747.

DOI: 10.1021/ef400283n

Google Scholar

[4] T. Mahmud, T. Ozair, Study of CO2/CH4 Solubility in Liquid Octane, Universiti Teknologi PETRONAS, pg. 43.

Google Scholar

[5] H. -X. Li and C. Qi: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach, 1st Edition, edited by Springer Publishing House, 2011, pg. 194.

Google Scholar

[6] T. Coloşi, M. Abrudean, M. -L. Ungureşan and V. Mureşan: Numerical Simulation Method for Distributed Parameters Processes, Springer Publishing Press, 2013, pg. 343.

Google Scholar

[7] F. Golnaraghi and B. C. Kuo: Automatic Control Systems, 9th edition, edited by Wiley Publishing House, 2009, pg. 800.

Google Scholar

[8] J. Love: Process Automation Handbook, 1 edition, edited by Springer Publishing House, 2007, pg. 1200.

Google Scholar