Analysis of hollow fibre membrane systems for multicomponent gas separation

Rajab Khalilpour, Ali Abbas, Zhiping Lai, Ingo Pinnau

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper analysed the performance of a membrane system over key design/operation parameters. A computation methodology is developed to solve the model of hollow fibre membrane systems for multicomponent gas feeds. The model represented by a nonlinear differential algebraic equation system is solved via a combination of backward differentiation and Gauss-Seidel methods. Natural gas sweetening problem is investigated as a case study. Model parametric analyses of variables, namely feed gas quality, pressure, area, selectivity and permeance, resulted in better understanding of operating and design optima. Particularly, high selectivities and/or permeabilities are shown not to be necessary targets for optimal operation. Rather, a medium selectivity (<60 in the given example) combined with medium permeance (∼300-500×10-10mol/sm2Pa in the given case study) is more advantageous. This model-based membrane systems engineering approach is proposed for the synthesis of efficient and cost-effective multi-stage membrane networks.

Original languageEnglish
Pages (from-to)332-347
Number of pages16
JournalChemical Engineering Research & Design
Volume91
Issue number2
DOIs
Publication statusPublished - Feb 2013
Externally publishedYes

Keywords

  • Design
  • Gas membrane
  • Hollow fibre
  • Modelling
  • Multicomponent gas
  • Natural gas sweetening

Cite this

Khalilpour, Rajab ; Abbas, Ali ; Lai, Zhiping ; Pinnau, Ingo. / Analysis of hollow fibre membrane systems for multicomponent gas separation. In: Chemical Engineering Research & Design. 2013 ; Vol. 91, No. 2. pp. 332-347.
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Analysis of hollow fibre membrane systems for multicomponent gas separation. / Khalilpour, Rajab; Abbas, Ali; Lai, Zhiping; Pinnau, Ingo.

In: Chemical Engineering Research & Design, Vol. 91, No. 2, 02.2013, p. 332-347.

Research output: Contribution to journalArticleResearchpeer-review

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