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  1. Modeling and simulation of membrane-absorption hybrid systems for CO2 capture from natural gas
Modeling and simulation of membrane-absorption hybrid systems for CO2 capture from natural gas
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Modeling and simulation of membrane-absorption hybrid systems for CO2 capture from natural gas

Soltanieh, M

Modeling and simulation of membrane-absorption hybrid systems for CO2 capture from natural gas

Soltanieh, M ; Sharif University of Technology | 2005

218 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/B978-008044704-9/50365-7
  3. Publisher: Elsevier Ltd , 2005
  4. Abstract:
  5. Crude (sour) natural gas contains, in addition to CH4 and higher hydrocarbons, various amounts of CO2 and N2, as well as small amounts of gases such as H2S, He, O2, Ar, H2 and H2O vapor. Hybrid systems-that is, membrane for bulk removal of CO2 followed by amine absorption, have been proposed and used since the early 1990s. This chapter focuses on the use of CO2 capture membranes and amine absorption process for CO2 removal from natural gas both as separate processes or a combination of these technologies as hybrid systems. It presents a study in which a rigorous mathematical model for simulation of membrane modules is presented, which utilizes a new model for multi-component gas mixture through polymeric composite membranes. The model predicts the selectivity and the permeability of gas mixtures CH4, CO2, H2S with good accuracy when compared with the literature data. With this new model for multi-component transport through composite polymeric membranes, the improvement in the prediction of the membrane performance is significant-as high as 20%. This model is then combined with the available models (such as Hysys) for the simulation of amine absorption process to predict the overall performance of the hybrid system. The model can be used to optimize the operation of hybrid "membrane-amine" systems. © 2005 Elsevier Ltd. All rights reserved
  6. Keywords:
  8. Source: Greenhouse Gas Control Technologies ; 2005 , Pages 2519-2523 ; 9780080447049 (ISBN)
  9. URL: https://www.sciencedirect.com/science/article/pii/B9780080447049503657#!