Model for a solid–liquid stirred tank two-phase partitioning bioscrubber for the treatment of BTEX

Littlejohns, Jennifer V.; McAuley, Kimberley B.; Daugulis, Andrew J.

doi:10.1016/j.jhazmat.2009.10.091

Cited by 32 publications

(18 citation statements)

References 30 publications

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“…Although the cut-off value is of paramount importance, a unique and efficient approach to select its value is not reported in the literature. Instead, the cut-off value can be specified arbitrarily a priori (Yao et al (2003)) or refined with respect to the value of the objective function for the parameter estimation (Wu et al (2011), Littlejohns et al (2010). …”

Section: Estimability Analysismentioning

confidence: 99%

Emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent. Part 2: Parameters estimability and confidence regions

Benyahia¹,

Latifi²,

Fonteix³

et al. 2013

Chemical Engineering Science

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Accurate estimation of the model parameters is required to obtain reliable predictions of the products end-use properties. However, due to the mathematical model structure and/or to a possible lack of measurements, the estimation of some parameters may be impossible. This paper will focus on the case where the main limitations to the parameters estimability are their weak effect on the measured outputs or the correlation between the effects of two or more parameters. The objective of the method developed in this paper is to determine the subset of the most influencing parameters that can be estimated from the available experimental data, when the complete set of model parameters cannot be estimated. This approach has been applied to the mathematical model of the emulsion copolymerization of styrene and butyl acrylate, in the presence of n-dodecyl mercaptan as a chain transfer agent. In addition, a new approach is used to better assess the true confidence regions and evaluate the accuracy of the parameters estimates in more reliable way.

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Section: Estimability Analysismentioning

confidence: 99%

Emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent. Part 2: Parameters estimability and confidence regions

Benyahia¹,

Latifi²,

Fonteix³

et al. 2013

Chemical Engineering Science

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“…The estimability analysis and parameter estimation were completed using methods similar to those used for a stirred-tank SL-TPPB model by Littlejohns et al 13 An estimability analysis of the 55 parameters in the model was completed to determine which parameters had the largest impact on model predictions, while taking into account correlated effects of parameters and uncertainty in initial parameter values. This estimability analysis was followed by estimation of the most important parameters, within realistic upper and lower bounds, to obtain improved parameter values that fit the SL-TPPB data better than the initial parameter values listed in Table 3.…”

Section: Estimability Analysis and Parameter Estimationmentioning

confidence: 99%

“…These ranking results are similar to those found for the model for the stirred-tank SL-TPPB on which the stirred tank model structure in this current study was based. 13 Other parameters that were ranked highly are gas-liquid volumetric mass-transfer coefficients for BTEX and oxygen, particularly at an inlet gas flow rate of 2 L min −1 . This high ranking can be attributed to the fact that the experimental data indicate that the system was oxygen limited at an inlet gas flow rate of 2 L min −1 .…”

Section: Estimability Analysis and Parameter Estimationmentioning

confidence: 99%

“…9 -11 Tanks-in-series mixing has been shown to provide more accurate predictions in comparison with the axial dispersion model when system hydrodynamics are closer to perfectly well-mixed and is easier to compute numerically 8,12 and was therefore the modeling strategy used in this study. Furthermore, as a well-mixed stirred tank SL-TPPB has previously been modeled for the treatment of BTEX 13 , the framework for each tank-in-series and preliminary parameter estimation has been completed.…”

Section: Introductionmentioning

confidence: 99%

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Model for a solid‐liquid airlift two‐phase partitioning bioscrubber for the treatment of BTEX

Littlejohns

McAuley

2009

J of Chemical Tech & Biotech

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BACKGROUND: Airlift solid-liquid two-phase partitioning bioreactors (SL-TPPBs) have been shown to be effective for the treatment of gas streams containing benzene, toluene, ethylbenzene and o-xylene (BTEX). The airlift SL-TPPB is a low-energy system that utilizes a sequestering phase of solid silicone rubber beads (10%v/v) that will uptake and release large amounts of BTEX in order to maintain equilibrium conditions within the system. This increases mass transfer from the gas phase during dynamic loading periods and improves degradation performance. This study discusses the development and analysis of a steady-state, tanks-in-series mathematical model, arising from mass balances on BTEX and oxygen in the gas, aqueous and polymer phases to predict the performance of the airlift SL-TPPB over various gas flow rates and BTEX loadings.

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“…Mechanistic models for TPPBs using solid NAPs are also available in the literature [15]. However, although such models can give useful information they cannot be directly applied to TPPBs using liquid NAPs.…”

Section: Introductionmentioning

confidence: 99%

A novel mathematical approach for the understanding and optimization of two-phase partitioning bioreactors devoted to air pollution control

Dorado¹,

Dumont²,

Muñoz³

et al. 2015

Chemical Engineering Journal

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Two-phase partitioning bioreactors (TPPBs) support the removal of volatile organic compounds (VOCs) from contaminated gaseous emissions at unprecedented rates and concentrations. TPPBs are biological multiphase systems provided with a non-aqueous phase (NAP) with high affinity for the target VOC. Although modeling of TPPBs is a research field that has rapidly evolved, recent experimental findings such as the direct VOC uptake from liquid NAPs and the quantification of simultaneous partial mass transfer coefficients have not been incorporated yet in a comprehensive mathematical description. In this work, a mathematical description of TPPBs, including continuous aqueous phase renewal and potential VOC uptake directly from the NAP, was developed. Model simulations indicated that TPPB performance can be enhanced by improving the partial mass transfer coefficient between the gas and the NAP (by increasing the contact between the gas and the NAP). The model also showed that microorganisms with half-saturation constants < 5 g m -3and ability to take up VOC directly from the NAP can boost significantly TPPB performance. The present modeling platform was tested against experimental data from literature for methane, hexane and dichloromethane and no parameter fitting was carried out.

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Model for a solid–liquid stirred tank two-phase partitioning bioscrubber for the treatment of BTEX

Cited by 32 publications

References 30 publications

Emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent. Part 2: Parameters estimability and confidence regions

Emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent. Part 2: Parameters estimability and confidence regions

Model for a solid‐liquid airlift two‐phase partitioning bioscrubber for the treatment of BTEX

A novel mathematical approach for the understanding and optimization of two-phase partitioning bioreactors devoted to air pollution control

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