A parametric study of layered bed PSA for hydrogen purification

Ana M. Ribeiro, Carlos A. Grande, Filipe V.S. Lopes, José M. Loureiro, Alírio E. Rodrigues

Research output: Contribution to journalArticlepeer-review

191 Scopus citations


The production of high purity hydrogen (99.99+%) at reduced cost is an important and sought target. This work is focused on the separation of hydrogen from a five component mixture (H2/CO2/CH4/CO/N2) by pressure swing adsorption. A complete mathematical model that describes the dynamic behaviour of a PSA unit is presented. This model is applied in the study of the behaviour of both single column and four columns PSA processes with layered activated carbon/zeolite beds and with an eight steps cycle. In the single column simulation, a 99.9994% purity hydrogen stream is attained at the end of the feed step for a process hydrogen recovery of 51.84% and a productivity of 59.6 molH2 / kgads / day. The multicolumn simulation predicts a hydrogen recovery and purity, respectively, of 52.11% and 99.9958%. The influence of feed flow rate, purge to feed ratio and lengths of both adsorbent layers on the system performance is assessed. It is shown that the introduction of the zeolite layer improves both the purity and recovery of the process. Reduced models are formulated based on the sequential identification of controlling resistances in the complete model. The predictions of the reduced models are evaluated by comparing their results with those obtained from the complete model. It is shown that the model that merely takes into account the micropore resistance (described by the LDF model) and assumes thermal equilibrium only between the gas and solid phases satisfactorily predicts the behaviour of the pressure swing adsorption unit. © 2008 Elsevier Ltd. All rights reserved.
Original languageEnglish (US)
Pages (from-to)5258-5273
Number of pages16
JournalChemical Engineering Science
Issue number21
StatePublished - Nov 1 2008
Externally publishedYes

ASJC Scopus subject areas

  • General Chemical Engineering
  • General Chemistry
  • Applied Mathematics
  • Industrial and Manufacturing Engineering


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