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Journal articles
Hybrid adaptive random search and genetic method for reaction kinetics modelling: CO 2 absorption systems
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 CO 2 absorption by NH 3 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.
Keywords :
Absorption system
Adaptive random search
Aqueous solvents
Carbonyl sulfide
Complex reaction mechanism
Computational time
Genetic methods
Hybrid algorithms
Kinetics modelling
Kinetics models
N-methyldiethanolamine
NH 3
Pressure data
Pressure values
Genetic algorithms
Reaction kinetics
Solutions
Carbon dioxide
https://hal-mines-paristech.archives-ouvertes.fr/hal-00769767
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Thursday, January 3, 2013 - 12:02:52 PM
Last modification on : Wednesday, November 17, 2021 - 12:33:00 PM
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Thursday, January 3, 2013 - 12:02:52 PM
Last modification on : Wednesday, November 17, 2021 - 12:33:00 PM