Simulation and analysis of vacuum pressure swing adsorption using the differential quadrature method

Mohammad Amin Makarem, Masoud Mofarahi, Benyamin Jafarian, Chang Ha Lee

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


A lab-scale vacuum pressure swing adsorption process for oxygen production was investigated both experimentally and theoretically. The experiments were conducted with up to 91% purity and 17% recovery. A complete set of governing equations were solved and compared using the finite difference method (FDM) and differential quadrature method (DQM). Based on the theoretical achievements, a new comprehensive algorithm is proposed, which is compatible with various numerical methods. The DQM method with 12 points combined with the FDM for time integration was determined to be accurate enough for predicting system behaviour. The artificial neural network (ANN) with two hidden layers and up to eight neurons was used to predict the process behaviour at more complex conditions. The agreement between the simulation results and experimental data shows that the algorithm accurately simulates the cyclic adsorption process, and the ANN is reliable for prediction of system behaviour considering variations in all parameters.

Original languageEnglish
Pages (from-to)483-496
Number of pages14
JournalComputers and Chemical Engineering
Publication statusPublished - 2019 Feb 2

Bibliographical note

Funding Information:
We thank the Persian Gulf University and the Converged Energy Materials Research Center, Yonsei University , for financial support and for granting the required approval for this study.

Publisher Copyright:
© 2018 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications


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