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

• 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
• Institution: Universiti Teknologi Malaysia

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...