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Understanding the effects of bulk mixing on the determination of the affinity index : consequences for process operation and design

Marina Arnaldos Orts (UGent) , Usman Rehman (UGent) , Wouter Naessens (UGent) , Youri Amerlinck (UGent) and Ingmar Nopens (UGent)
(2018) WATER SCIENCE AND TECHNOLOGY. 77(3). p.576-588
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Abstract
The main objective of this study is to demonstrate the importance of mixing conditions as a source of inconsistencies between half-saturation indices in comparable systems (e.g. conventional activated sludge, membrane bioreactor) when operated at different conditions or different scales. As proof-of-principle, an exemplary system consisting of the second vessel of a hybrid respirometer has been studied. The system has been modeled both using an integrated computational fluid dynamics (CFD)biokinetic model (assumed to represent the physical system) and a tanks-in-series, completely stirred tank reactor biokinetic model (representing the applied model). The results show that different mixing conditions cause deviations in the half-saturation indices calculated when matching the applied model to the physical system performance. Additionally, sensor location has been shown to impact the calculation of half-saturation indices in the respirometric system. This will only become more pronounced at larger scales. Thus, mixing conditions clearly affect operation and design of wastewater treatment reactors operated at low substrate concentrations. Both operation and design can be improvedwith the development and application of integrated CFD-biokinetic or compartmental models.
Keywords
BIOMATH, :activated sludge modeling, affinity constant, half-saturation constant, kinetic constants, Monod function, wastewater treatment, WASTE-WATER TREATMENT, SIMULTANEOUS NITRIFICATION, KINETIC-PARAMETERS, DENITRIFICATION, PERFORMANCE, BIOREACTOR, REACTORS

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Chicago
Arnaldos Orts, Marina, Usman Rehman, Wouter Naessens, Youri Amerlinck, and Ingmar Nopens. 2018. “Understanding the Effects of Bulk Mixing on the Determination of the Affinity Index : Consequences for Process Operation and Design.” Water Science and Technology 77 (3): 576–588.
APA
Arnaldos Orts, M., Rehman, U., Naessens, W., Amerlinck, Y., & Nopens, I. (2018). Understanding the effects of bulk mixing on the determination of the affinity index : consequences for process operation and design. WATER SCIENCE AND TECHNOLOGY, 77(3), 576–588.
Vancouver
1.
Arnaldos Orts M, Rehman U, Naessens W, Amerlinck Y, Nopens I. Understanding the effects of bulk mixing on the determination of the affinity index : consequences for process operation and design. WATER SCIENCE AND TECHNOLOGY. 2018;77(3):576–88.
MLA
Arnaldos Orts, Marina et al. “Understanding the Effects of Bulk Mixing on the Determination of the Affinity Index : Consequences for Process Operation and Design.” WATER SCIENCE AND TECHNOLOGY 77.3 (2018): 576–588. Print.
@article{8581885,
  abstract     = {The main objective of this study is to demonstrate the importance of mixing conditions as a source of inconsistencies between half-saturation indices in comparable systems (e.g. conventional activated sludge, membrane bioreactor) when operated at different conditions or different scales. As proof-of-principle, an exemplary system consisting of the second vessel of a hybrid respirometer has been studied. The system has been modeled both using an integrated computational fluid dynamics (CFD)biokinetic model (assumed to represent the physical system) and a tanks-in-series, completely stirred tank reactor biokinetic model (representing the applied model). The results show that different mixing conditions cause deviations in the half-saturation indices calculated when matching the applied model to the physical system performance. Additionally, sensor location has been shown to impact the calculation of half-saturation indices in the respirometric system. This will only become more pronounced at larger scales. Thus, mixing conditions clearly affect operation and design of wastewater treatment reactors operated at low substrate concentrations. Both operation and design can be improvedwith the development and application of integrated CFD-biokinetic or compartmental models.},
  author       = {Arnaldos Orts, Marina and Rehman, Usman and Naessens, Wouter and Amerlinck, Youri and Nopens, Ingmar},
  issn         = {0273-1223},
  journal      = {WATER SCIENCE AND TECHNOLOGY},
  language     = {eng},
  number       = {3},
  pages        = {576--588},
  title        = {Understanding the effects of bulk mixing on the determination of the affinity index : consequences for process operation and design},
  url          = {http://dx.doi.org/10.2166/wst.2017.550},
  volume       = {77},
  year         = {2018},
}

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