2002
DOI: 10.2166/wst.2002.0104
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Model-based evaluation of a new upgrading concept for N-removal

Abstract: Mathematical modelling is considered a time and cost-saving tool for evaluation of new wastewater treatment concepts. Modelling can help to bridge the gap between lab and full-scale application. Bio-augmentation can be used to obtain nitrification in activated sludge systems with a limited aerobic sludge retention time. In the present study the potential for augmenting the endogenous nitrifying population is evaluated. Implementing a nitrification reactor in the sludge return line fed with sludge liquor with a… Show more

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Cited by 45 publications
(30 citation statements)
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“…A novel promising system for both bio-augmentation and nitrogen elimination is the BABE technology, which stands for Bio-Augmentation Batch Enhanced (Salem et al, 2002(Salem et al, , 2003. The concept was developed by DHV-Water (Zilverentant, 1999) in collaboration with the Delft University of technology.…”
Section: Introductionmentioning
confidence: 99%
“…A novel promising system for both bio-augmentation and nitrogen elimination is the BABE technology, which stands for Bio-Augmentation Batch Enhanced (Salem et al, 2002(Salem et al, , 2003. The concept was developed by DHV-Water (Zilverentant, 1999) in collaboration with the Delft University of technology.…”
Section: Introductionmentioning
confidence: 99%
“…A significant reduction in the rate of nitrification is observed as temperatures decrease, and conversely, a significant acceleration in the rate of nitrification as temperatures increase. Several researches have been carried out on the contemporary effects of temperature and bioaugmentation [1,[10][11][12]. These studies have focused on synthetic municipal wastewater, or in situ bioaugmentation or modeling.…”
Section: Introductionmentioning
confidence: 99%
“…Modeling approaches have globally been accepted for the evaluation of the WWTP performance. Mechanistic models can be used to simulate the plant behavior over a wide range of operating conditions [4][5][6], however, these models take long simulation time due to broad range of time constants, necessitating small integration steps and also due to seasonal temperature variations requiring long time (at least one year) influent data for a reliable performance evaluation covering the whole temperature range. Further, a large variability of the influent characteristics in 0003-2670/$ -see front matter © 2009 Elsevier B.V. All rights reserved.…”
Section: Introductionmentioning
confidence: 99%