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Mass transfer parameter estimation using optimization technique: Case study in CO 2 absorption with chemical reaction
Author(s) -
Ji Xinsheng,
Kritpiphat Weerapong,
Aboudheir Ahmed,
Tontiwachwuthikul Paitoon
Publication year - 1999
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450770111
Subject(s) - mass transfer , absorption (acoustics) , transfer function , mass transfer coefficient , function (biology) , transfer (computing) , levenberg–marquardt algorithm , thermodynamics , materials science , chemistry , analytical chemistry (journal) , biological system , computer science , physics , chromatography , engineering , composite material , artificial intelligence , evolutionary biology , biology , parallel computing , artificial neural network , electrical engineering
This paper proposes a new approach of applying an optimization technique to simultaneously determine a physical liquid—film mass transfer coefficient ( K o L ) and effective interfacial area ( a v ) from a pilot plant data. The mass transfer mechanism of the CO 2 ‐NaOH system was modeled using the two‐film theory to represent the behaviors of packed absorbers. The model presents an overall absorption rate ( R v ) as a function of K o L and a v . The optimization algorithm used in this study follows a modified Levenberg‐Marquardt method with a trust region approach. The R v predictions from the model are in good agreement with the experimental data, with an average error of 6.5%.