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 Srina, Mohd. Said, Suhana, Abouzari-Lotf, Ebrahim Abouzari, Zakaria, Azmi, Mohd. Sabri, Mohd. Faizul, Islam, Aminul, Alias, Yatimah
Format: Article
Published: Elsevier 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/55365/
http://dx.doi.org/10.1016/j.saa.2015.06.036
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/id/eprint/55365/
http://dx.doi.org/10.1016/j.saa.2015.06.036

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