Flores-Payán, V.; Herrera-López, E.; Navarro-Laboulais, J.; López-López, A. (2015). Parametric sensitivity analysis and ozone mass transfer modeling in a gas liquid reactor for advanced water treatment. Journal of Industrial and Engineering Chemistry. 21:1270-1276. https://doi.org/10.1016/j.jiec.2014.05.044
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151289
Title:
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Parametric sensitivity analysis and ozone mass transfer modeling in a gas liquid reactor for advanced water treatment
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Author:
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Flores-Payán, Valentín
Herrera-López, E.J.
Navarro-Laboulais, J.
López-López, Alberto
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear
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Issued date:
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Abstract:
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[EN] A computational model for a reactor used in advanced water treatment was proposed to represent, simulate and predict the mass transfer process of ozone in water (gas-liquid). A graphic interface was designed to simulate ...[+]
[EN] A computational model for a reactor used in advanced water treatment was proposed to represent, simulate and predict the mass transfer process of ozone in water (gas-liquid). A graphic interface was designed to simulate the ozone gas transfer into the liquid. In addition, the values of the mass transfer coefficient, and the self-decomposition of ozone, could be determined for different initial conditions. The model for ozone mass transfer was represented by two differential equations derived from the mass balances of the system. Finally a sensitivity analysis was made to determine the effect of the parameters over the operating variables. (C) 2014 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
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Subjects:
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Modeling
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Mass transfer
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Parametric sensitivity
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Ozone
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Water treatment
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Copyrigths:
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Cerrado |
Source:
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Journal of Industrial and Engineering Chemistry. (issn:
1226-086X
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DOI:
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10.1016/j.jiec.2014.05.044
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Publisher:
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Elsevier
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Publisher version:
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https://doi.org/10.1016/j.jiec.2014.05.044
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Project ID:
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CONACYT/CB/2007-84425
CONACYT/302539
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Thanks:
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The authors would like to thank the CONACYT for their support granted to the project CB/2007-84425, and the MSc fellowship 302539.
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Type:
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Artículo
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