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Updated: Feb 14, 2026

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Published on: March 7, 2018
Understanding the effects of bulk mixing on the determination of the affinity index: consequences for process
Marina Arnaldos1, Usman Rehman2, Wouter Naessens2
1Department of Mathematical Modelling, Statistics and Bioinformatics, BIOMATH, Coupure Links 653, Gent 9000, Belgium E-mail: ingmar.nopens@ugent.be; Cetaqua Water Technology Center, Carretera d'Esplugues 75, 08940 Cornella de Llobregat, Barcelona, 22, El Prat del Llobregat (Barcelona) 08820, Spain.
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 improved with the development and application of integrated CFD-biokinetic or compartmental models.
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