Application of ANFIS soft computing technique in modeling the CO2 capture with MEA, DEA, and TEA aqueous solutions

Application of ANFIS soft computing technique in modeling the CO2 capture with MEA, DEA, and TEA... •A study of ANFIS technique is performed for modeling the CO2 loading capacity of MEA, DEA, and TEA solutions.•System's temperature, partial pressure of CO2, and concentration of amines at aqueous phase are studied.•Model results are successfully compared with experimental data.•Applying ANFIS approach leads to significant improvement compared to the LSSVM model. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Greenhouse Gas Control Elsevier

Application of ANFIS soft computing technique in modeling the CO2 capture with MEA, DEA, and TEA aqueous solutions

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
1750-5836
eISSN
1878-0148
D.O.I.
10.1016/j.ijggc.2016.02.015
Publisher site
See Article on Publisher Site

Abstract

•A study of ANFIS technique is performed for modeling the CO2 loading capacity of MEA, DEA, and TEA solutions.•System's temperature, partial pressure of CO2, and concentration of amines at aqueous phase are studied.•Model results are successfully compared with experimental data.•Applying ANFIS approach leads to significant improvement compared to the LSSVM model.

Journal

International Journal of Greenhouse Gas ControlElsevier

Published: Jun 1, 2016

References

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