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Hybrid adaptive random search and genetic method for reaction kinetics modelling: CO2 absorption systems

Carol Toro Molina 1 Rodrigo Rivera-Tinoco 1 Chakib Bouallou 1, *
* Corresponding author
1 CEP/Paris
CEP - Centre Énergétique et Procédés
Abstract : This paper presents a hybrid algorithm to be used for kinetics modelling and based on the Adaptive Random Search Method (ARSM) enhanced by the Genetic Algorithms (GA) theory. This algorithm is validated comparing modelled pressure values to experimental pressure data from Carbonyl sulfide (COS) absorption by aqueous solvents. An excellent fit is shown when COS absorption by N-methyldiethanolamine (MDEA) aqueous solutions is modelled. Preliminary results for the modelling of CO2 absorption by NH3 aqueous solutions show an accurate fit and open the door to further studies on more complex reaction mechanisms suggested for the ammonia-carbon dioxide reaction. Besides, the proposed method leads to lower computational time and slightly more accurate calculated pressure values than classic methods such as Downhill simplex.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00660575
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Submitted on : Tuesday, January 17, 2012 - 10:03:21 AM
Last modification on : Thursday, September 24, 2020 - 5:22:04 PM

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Carol Toro Molina, Rodrigo Rivera-Tinoco, Chakib Bouallou. Hybrid adaptive random search and genetic method for reaction kinetics modelling: CO2 absorption systems. Journal of Cleaner Production, Elsevier, 2011, 6 p. ⟨10.1016/j.jclepro.2011.11.051⟩. ⟨hal-00660575⟩

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