Simulation of the Biofiltration of Sulfur Compounds: Effect of the Partition Coefficients
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Escuela de Ingeniería Química, Pontifica Universidad Católica de Valparaíso, Av. Brasil 2162, Valparaíso 2340025, Chile
2
Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
3
Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2085, Valparaíso 2374631, Chile
*
Author to whom correspondence should be addressed.
Academic Editor: Jose Manuel Gomez Montes de Oca
Processes 2022, 10(7), 1325; https://doi.org/10.3390/pr10071325
Received: 1 June 2022
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Revised: 25 June 2022
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Accepted: 4 July 2022
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Published: 6 July 2022
(This article belongs to the Special Issue Recent Advances in Biofilter Process Treatment)
The effect of the partition coefficient on the simulation of the operation of a biotrickling filter treating a mixture of sulfur compounds was analyzed to evaluate the pertinence of using Henry’s law in determining its removal capacity. The analysis consisted of the simulation of a biotrickling filter that bio-oxides hydrogen sulfide (H2S), dimethyl sulfide (DMS), methyl mercaptan (MM) and dimethyl disulfide (DMDS) using different types of models for determining the partition coefficient: Henry’s law for pure water, Henry’s law adjusted from experimental data, a mixed model (Extended UNIQUAC) and a semi-empirical model of two-parameters. The simulations were compared with experimental data. It was observed that Henry’s law for pure water could produce significant deviations from empirical data due to the liquid phase not being pure water. The two-parameter model better fits with similar results compared to the extended UNIQUAC model, with a lower calculation cost and necessary parameter amount. It shows that semi-empirical models can considerably improve simulation accuracy where complex phase interactions are present.
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Keywords:
partition coefficient; culture medium; biotrickling filter; activity coefficient; modeling
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MDPI and ACS Style
Silva, J.; Ortiz-Soto, R.; León, M.; Morales, M.; Aroca, G. Simulation of the Biofiltration of Sulfur Compounds: Effect of the Partition Coefficients. Processes 2022, 10, 1325. https://doi.org/10.3390/pr10071325
AMA Style
Silva J, Ortiz-Soto R, León M, Morales M, Aroca G. Simulation of the Biofiltration of Sulfur Compounds: Effect of the Partition Coefficients. Processes. 2022; 10(7):1325. https://doi.org/10.3390/pr10071325
Chicago/Turabian StyleSilva, Javier, Rodrigo Ortiz-Soto, Marcelo León, Marjorie Morales, and Germán Aroca. 2022. "Simulation of the Biofiltration of Sulfur Compounds: Effect of the Partition Coefficients" Processes 10, no. 7: 1325. https://doi.org/10.3390/pr10071325
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