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Surrogate-based online monitoring and control framework for trace organic contaminant removal during ozonation of secondary wastewater effluent : from lab-scale to practical application

Michael Chys (UGent)
(2017)
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Abstract
Trace organic contaminants (TrOCs) such as pharmaceuticals, pesticides, personal care products, etc. are entering our aquatic environment through the discharge of treated wastewater from municipal water resource recovery facilities (WRRFs). These installations are currently not designed to cope with those contaminants and upgrades with advanced treatment technologies to reduce the TrOC discharge are needed. One of the most promising technologies is the use of ozonation as a tertiary treatment prior to discharge. The wide application of ozonation on WRRFs is however challenged by the unavailability of an online ozone dosing control framework that ensures efficient TrOC abatement and minimizes the by-product formation potential at the lowest possible costs. In this PhD, a generic framework is developed which can be applied for numerous TrOCs that are currently known or that might be detected in future and at different treatment sites. The main goal was to develop, calibrate and validate a surrogate-based correlation model in view of variable effluent conditions, ensuring an easily applicable and reliable control framework. New correlations are presented based on UVA254 and fluorescence surrogate parameters, considering kinetic information, and reflecting the ongoing reaction mechanisms. The developed models were further validated on different WRRFs and during pilot-scale experimentation. Practical and economical aspects were given special attention during pilot-scale experimentation. Finally, the main potential for surrogate parameters, i.e. effectively controlling the ozone dose in terms of TrOC abatement and costs, was shown.

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Chicago
Chys, Michael. 2017. “Surrogate-based Online Monitoring and Control Framework for Trace Organic Contaminant Removal During Ozonation of Secondary Wastewater Effluent : from Lab-scale to Practical Application”. Kortrijk, Belgium: Ghent University. Faculty of Bioscience Engineering.
APA
Chys, M. (2017). Surrogate-based online monitoring and control framework for trace organic contaminant removal during ozonation of secondary wastewater effluent : from lab-scale to practical application. Ghent University. Faculty of Bioscience Engineering, Kortrijk, Belgium.
Vancouver
1.
Chys M. Surrogate-based online monitoring and control framework for trace organic contaminant removal during ozonation of secondary wastewater effluent : from lab-scale to practical application. [Kortrijk, Belgium]: Ghent University. Faculty of Bioscience Engineering; 2017.
MLA
Chys, Michael. “Surrogate-based Online Monitoring and Control Framework for Trace Organic Contaminant Removal During Ozonation of Secondary Wastewater Effluent : from Lab-scale to Practical Application.” 2017 : n. pag. Print.
@phdthesis{8540075,
  abstract     = {Trace organic contaminants (TrOCs) such as pharmaceuticals, pesticides, personal care products, etc. are entering our aquatic environment through the discharge of treated wastewater from municipal water resource recovery facilities (WRRFs). These installations are currently not designed to cope with those contaminants and upgrades with advanced treatment technologies to reduce the TrOC discharge are needed. One of the most promising technologies is the use of ozonation as a tertiary treatment prior to discharge. The wide application of ozonation on WRRFs is however challenged by the unavailability of an online ozone dosing control framework that ensures efficient TrOC abatement and minimizes the by-product formation potential at the lowest possible costs.
In this PhD, a generic framework is developed which can be applied for numerous TrOCs that are currently known or that might be detected in future and at different treatment sites. The main goal was to develop, calibrate and validate a surrogate-based correlation model in view of variable effluent conditions, ensuring an easily applicable and reliable control framework. New correlations are presented based on UVA254 and fluorescence surrogate parameters, considering kinetic information, and reflecting the ongoing reaction mechanisms. The developed models were further validated on different WRRFs and during pilot-scale experimentation. Practical and economical aspects were given special attention during pilot-scale experimentation. Finally, the main potential for surrogate parameters, i.e. effectively controlling the ozone dose in terms of TrOC abatement and costs, was shown.},
  author       = {Chys, Michael},
  isbn         = {9789463570572},
  language     = {eng},
  pages        = {XXII, 266},
  publisher    = {Ghent University. Faculty of Bioscience Engineering},
  school       = {Ghent University},
  title        = {Surrogate-based online monitoring and control framework for trace organic contaminant removal during ozonation of secondary wastewater effluent : from lab-scale to practical application},
  year         = {2017},
}