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Performance of a two-bed pressure swing adsorption process with incomplete pressure equalization

Authors
Shin, HSKim, DHKoo, KKLee, TS
Issue Date
Oct-2000
Publisher
SPRINGER
Keywords
PSA; pressure equalization; extent of equalization; simulation; experiment
Citation
ADSORPTION-JOURNAL OF THE INTERNATIONAL ADSORPTION SOCIETY, v.6, no.3, pp.233 - 240
Journal Title
ADSORPTION-JOURNAL OF THE INTERNATIONAL ADSORPTION SOCIETY
Volume
6
Number
3
Start Page
233
End Page
240
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/27336
DOI
10.1023/A:1008941311861
ISSN
0929-5607
Abstract
Incomplete pressure equalization (PE) is practiced in a commercial oxygen concentrator for medical use by adopting simultaneous PE and feed-pressurization for pressurizing an adsorption bed. In such a cycle configuration, extent of equalization during PE affects process performance. In order to assess the effect, performance of pressure swing adsorption (PSA) process with incomplete PE was determined by both simulations and experiments. In simulations, an equilibrium model was used with the assumptions of multicomponent Langmuir isotherms, isothermal operation, and no pressure drop through a bed. The required parameters for simulations were measured in separate experiments. PSA experiments were performed for a two-bed cycle with PE. Two kinds of pressurization, feed and product, were examined. Effects of purge amount and extent of equalization on process performance were assessed in view of productivity and light-component recovery. From the obtained results performance contours were constructed. 95 oxygen mole percent production from air with zeolite 13x was considered as a case study. In both pressurizations, an optimal specific purge and an extent of equalization for the productivity and recovery were observed, but with a different level of equalization. For a maximum productivity feed-pressurization favored incomplete PE, while a maximum recovery occurred at complete PE for both pressurizations. The simulations depicted well existence of optimum conditions, though they showed quantitative disagreement with experiments.
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