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MODELING AND AUTOMATION OF ADSORPTION PROCESSES WITH CYCLICALLY CHANGING PRESSURE DURING THE SEPARATION OF GAS MIXTURES.

Title: MODELING AND AUTOMATION OF ADSORPTION PROCESSES WITH CYCLICALLY CHANGING PRESSURE DURING THE SEPARATION OF GAS MIXTURES.
Authors: Akulinin, Evgeny; Ishin, Andrey; Skvortsov, Sergey; Dvoretsky, Dmitry; Dvoretsky, Stanislav
Source: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM; 2017, Vol. 17 Issue 4-2, p527-534, 8p
Subject Terms: ADSORPTION (Chemistry); GAS mixtures; MATHEMATICAL models; SEPARATION (Technology); PRODUCTION (Economic theory)
Abstract: A mathematical model of the dynamics of pressure swing adsorption (PSA) process during the separation of multicomponent gas mixtures with the aim of producing hydrogen has been developed. The model allows to calculate the profiles of component concentrations (H2, CO2 and CO) and temperature in gas and solid phases, the pressure and velocity of the gas mixture along the height of the adsorbent depending on time. As a result of the computational experiments, the effect of changes in the temperature, composition, and pressure of the initial gas mixture on the purity, recovery, and temperature of product hydrogen at multiple duration periods of the adsorption stage was determined. The dynamics of the adsorption process of the gas mixture components and the character of the sorption and thermal fronts motion along the height of the adsorbent bed in the adsorber, as well as the relationship between the productivity of the PSA unit and the purity of the hydrogen produced were studied. The problem of optimization of the PSA process for producing hydrogen has been formulated and solved, the most appropriate structure of the system of automatic stabilization of the maximum oxygen concentration has been selected, and the algorithms and software of the automatic control system for the PSA process of separation of multicomponent gas mixtures have been developed. [ABSTRACT FROM AUTHOR]
: Copyright of Proceedings of the International Multidisciplinary Scientific GeoConference SGEM is the property of STEF92 Technology Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index