A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations

J. Schaerlaekens, J. Mertens, J. Van Linden, G. Vermeiren, J. Carmeliet, J. Feyen

Research output: Contribution to journalArticleAcademicpeer-review

28 Citations (Scopus)

Abstract

The occurrence of Dense Non-Aqueous Phase Liquid (DNAPL) contaminations in the subsurface is a threat for drinkwater resources in the western world. Surfactant-Enhanced Aquifer Remediation (SEAR) is widely considered as one of the most promising techniques to remediate DNAPL contaminations in-situ, be it with considerable additional costs compared to classical pump-and-treat remediations. A cost-effective design of the remediation set-up is therefore essential. In this work, a pilot SEAR test is executed at a DNAPL contaminated site in Belgium in order to collect data for the calibration of a multi-phase multi-component model. The calibrated model is used to assess a series of scenario-analyses for the full-scale remediation of the site. The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations. A constrained multi-objective optimization of the model was applied to obtain a Pareto set of optimal remediation strategies with different weights for the two objectives of the remediation: (i) the maximal removal of DNAPL and (ii) a total minimal cost. These Pareto curves can help decision makers to select an optimal remediation strategy in terms of cost and remediation efficiency. The Pareto front shows a considerable trade-off between the total remediation cost and the removed DNAPL mass. 2006 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)176-194
JournalJournal of Contaminant Hydrology
Volume86
Issue number3-4
DOIs
Publication statusPublished - 2006

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nonaqueous phase liquid
Multiobjective optimization
Remediation
Surface-Active Agents
surfactant
remediation
Contamination
Liquids
cost
Costs
Aquifers
contamination
aquifer
pump and treat
Western world
Constrained optimization
trade-off
Pumps
Calibration
calibration

Cite this

Schaerlaekens, J., Mertens, J., Van Linden, J., Vermeiren, G., Carmeliet, J., & Feyen, J. (2006). A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations. Journal of Contaminant Hydrology, 86(3-4), 176-194. https://doi.org/10.1016/j.jconhyd.2006.03.002
Schaerlaekens, J. ; Mertens, J. ; Van Linden, J. ; Vermeiren, G. ; Carmeliet, J. ; Feyen, J. / A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations. In: Journal of Contaminant Hydrology. 2006 ; Vol. 86, No. 3-4. pp. 176-194.
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abstract = "The occurrence of Dense Non-Aqueous Phase Liquid (DNAPL) contaminations in the subsurface is a threat for drinkwater resources in the western world. Surfactant-Enhanced Aquifer Remediation (SEAR) is widely considered as one of the most promising techniques to remediate DNAPL contaminations in-situ, be it with considerable additional costs compared to classical pump-and-treat remediations. A cost-effective design of the remediation set-up is therefore essential. In this work, a pilot SEAR test is executed at a DNAPL contaminated site in Belgium in order to collect data for the calibration of a multi-phase multi-component model. The calibrated model is used to assess a series of scenario-analyses for the full-scale remediation of the site. The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations. A constrained multi-objective optimization of the model was applied to obtain a Pareto set of optimal remediation strategies with different weights for the two objectives of the remediation: (i) the maximal removal of DNAPL and (ii) a total minimal cost. These Pareto curves can help decision makers to select an optimal remediation strategy in terms of cost and remediation efficiency. The Pareto front shows a considerable trade-off between the total remediation cost and the removed DNAPL mass. 2006 Elsevier B.V. All rights reserved.",
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Schaerlaekens, J, Mertens, J, Van Linden, J, Vermeiren, G, Carmeliet, J & Feyen, J 2006, 'A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations', Journal of Contaminant Hydrology, vol. 86, no. 3-4, pp. 176-194. https://doi.org/10.1016/j.jconhyd.2006.03.002

A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations. / Schaerlaekens, J.; Mertens, J.; Van Linden, J.; Vermeiren, G.; Carmeliet, J.; Feyen, J.

In: Journal of Contaminant Hydrology, Vol. 86, No. 3-4, 2006, p. 176-194.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations

AU - Schaerlaekens, J.

AU - Mertens, J.

AU - Van Linden, J.

AU - Vermeiren, G.

AU - Carmeliet, J.

AU - Feyen, J.

PY - 2006

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N2 - The occurrence of Dense Non-Aqueous Phase Liquid (DNAPL) contaminations in the subsurface is a threat for drinkwater resources in the western world. Surfactant-Enhanced Aquifer Remediation (SEAR) is widely considered as one of the most promising techniques to remediate DNAPL contaminations in-situ, be it with considerable additional costs compared to classical pump-and-treat remediations. A cost-effective design of the remediation set-up is therefore essential. In this work, a pilot SEAR test is executed at a DNAPL contaminated site in Belgium in order to collect data for the calibration of a multi-phase multi-component model. The calibrated model is used to assess a series of scenario-analyses for the full-scale remediation of the site. The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations. A constrained multi-objective optimization of the model was applied to obtain a Pareto set of optimal remediation strategies with different weights for the two objectives of the remediation: (i) the maximal removal of DNAPL and (ii) a total minimal cost. These Pareto curves can help decision makers to select an optimal remediation strategy in terms of cost and remediation efficiency. The Pareto front shows a considerable trade-off between the total remediation cost and the removed DNAPL mass. 2006 Elsevier B.V. All rights reserved.

AB - The occurrence of Dense Non-Aqueous Phase Liquid (DNAPL) contaminations in the subsurface is a threat for drinkwater resources in the western world. Surfactant-Enhanced Aquifer Remediation (SEAR) is widely considered as one of the most promising techniques to remediate DNAPL contaminations in-situ, be it with considerable additional costs compared to classical pump-and-treat remediations. A cost-effective design of the remediation set-up is therefore essential. In this work, a pilot SEAR test is executed at a DNAPL contaminated site in Belgium in order to collect data for the calibration of a multi-phase multi-component model. The calibrated model is used to assess a series of scenario-analyses for the full-scale remediation of the site. The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations. A constrained multi-objective optimization of the model was applied to obtain a Pareto set of optimal remediation strategies with different weights for the two objectives of the remediation: (i) the maximal removal of DNAPL and (ii) a total minimal cost. These Pareto curves can help decision makers to select an optimal remediation strategy in terms of cost and remediation efficiency. The Pareto front shows a considerable trade-off between the total remediation cost and the removed DNAPL mass. 2006 Elsevier B.V. All rights reserved.

U2 - 10.1016/j.jconhyd.2006.03.002

DO - 10.1016/j.jconhyd.2006.03.002

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VL - 86

SP - 176

EP - 194

JO - Journal of Contaminant Hydrology

JF - Journal of Contaminant Hydrology

SN - 0169-7722

IS - 3-4

ER -