Scheduling the blended solution as industrial CO2 absorber in separation process by back-propagation artificial neural networks

Scheduling the blended solution as industrial CO2 absorber in separation process by back-propagation artificial neural networks

It is believe that 80% industrial of carbon dioxide can be controlled by separation and storage technologies which use the blended ionic liquids absorber. Among the blended absorbers, the mixture of water, N-methyldiethanolamine (MDEA) and guanidinium trifluoromethane sulfonate (gua) has presented t...

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Bibliographic Details
Main Authors: Abdollahi, Yadollah, Sairi, Nor Asrina, Mohd Said, Suhana, Abouzari-lotf, Ebrahim, Zakaria, Azmi, Mohd Sabri, Mohd Faizul, Islam, Aminul, Alias, Yatimah
Format: Article
Language:English
Published: Elsevier 2015
Online Access:http://psasir.upm.edu.my/id/eprint/46222/
http://psasir.upm.edu.my/id/eprint/46222/1/Scheduling%20the%20blended%20solution%20as%20industrial%20CO2%20absorber%20in%20separation%20process%20by%20back-propagation%20artificial%20neural%20networks.pdf

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