Implementation of Activated Sludge Model No. 3 as an educational tool: bioXL3

2020 ◽  
Vol 28 (5) ◽  
pp. 1154-1173 ◽  
Author(s):  
Selami Demir ◽  
Neslihan Manav Demir
Keyword(s):  
Activated Sludge ◽  
Educational Tool ◽  
Activated Sludge Model

Optimizing the Step-Feed Ratio and Modeling the Effluents of Aerobic Tank with ASM1 in ECOSUNIDE Process

2012 ◽  
Vol 178-181 ◽  
pp. 526-530
Author(s):  
Ruo Gu Li ◽  
Yan Qiu Zhang
Keyword(s):  
Organic Matter ◽  
Activated Sludge ◽  
Ammonia Nitrogen ◽  
Feed Ratio ◽  
Optimum Ratio ◽  
Matlab Simulink ◽  
Activated Sludge Model ◽  
Model Based ◽  
Autotrophic Bacteria ◽  
Optimum Model

The step feed model based on the Activated Sludge Model No.1 (ASM1) and the optimum model of the ammonia nitrogen (SNH) removal in wastewater were established. Four aeration tanks under the different step feed ratios were simulated by Matlab Simulink. The results show that single-feeding is conducive to the removal of readily biodegradable substrate (SS) and the growth of heterotrophic organisms (XBH), and to lower the biodegradable substrate (XS) at the same time. The SS, XS, and SNH concentrations are 1.36, 5.98, and 3.02 mg/L respectively in effluent. However, the step-feeding is conducive to the SNH removal, and the autotrophic bacteria (XBA) growth. Under the step feed ratio (25/25/25/25%), the SS, XS, and SNH concentrations are 2.64, 10.79, and 2.61 mg/L respectively. Under the optimum ratio (28.7/23.6/20.4/27.2%), step-feeding could further facilitate the removal of SNH and hinder the removal of organic matter, their concentrations are 2.70, 10.98, and 2.47 mg/L respectively.

Application of activated sludge model for phosphorus recovery potential simulation

2021 ◽  
Vol 232 ◽  
pp. 199-207
Author(s):  
Michal Preisner ◽  
Marzena Smol ◽  
Elena Neverova-Dziopak ◽  
Zbigniew Kowalewski
Keyword(s):  
Activated Sludge ◽  
Phosphorus Recovery ◽  
Activated Sludge Model ◽  
Recovery Potential

Towards a Comprehensive Model of Activated Sludge Bulking and Foaming

1992 ◽  
Vol 25 (6) ◽  
pp. 215-230 ◽  
Author(s):  
David Jenkins
Keyword(s):  
Activated Sludge ◽  
Comprehensive Model ◽  
Activated Sludge Model ◽  
Sludge Bulking ◽  
Physiological Properties

The physiological properties of filamentous and floc-forming microorganisms found in activated sludge are reviewed. From this review four model microorganisms - two floc formers and two filamentous organisms - are proposed for use in an activated sludge model that predicts activated sludge “quality”.

Interpretation of Experimental Data with Regard to the Activated Sludge Model No.1 and Calibration of the Model for Municipal Wastewater Treatment Plants

1992 ◽  
Vol 25 (6) ◽  
pp. 167-183 ◽  
Author(s):  
H. Siegrist ◽  
M. Tschui
Keyword(s):  
Experimental Data ◽  
Growth Rate ◽  
Activated Sludge ◽  
Municipal Wastewater ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Municipal Wastewater Treatment ◽  
Activated Sludge Model

The wastewater of the municipal treatment plants Zürich-Werdhölzli (350000 population equivalents), Zürich-Glatt (110000), and Wattwil (20000) have been characterized with regard to the activated sludge model Nr.1 of the IAWPRC task group. Zürich-Glatt and Wattwil are partly nitrifying treatment plants and Zürich-Werdhölzli is fully nitrifying. The mixing characteristics of the aeration tanks at Werdhölzli and Glatt were determined with sodium bromide as a tracer. The experimental data were used to calibrate hydrolysis, heterotrophic growth and nitrification. Problems arising by calibrating hydrolysis of the paniculate material and by measuring oxygen consumption of heterotrophic and nitrifying microorganisms are discussed. For hydrolysis the experimental data indicate first-order kinetics. For nitrification a maximum growth rate of 0.40±0.07 d−1, corresponding to an observed growth rate of 0.26±0.04 d−1 was calculated at 10°C. The half velocity constant found for 12 and 20°C was 2 mg NH4-N/l. The calibrated model was verified with experimental dam of me Zürich-Werdhölzli treatment plant during ammonia shock load.

Activated Sludge Model No. 3

1999 ◽  
Vol 39 (1) ◽  
pp. 183-193 ◽  
Author(s):  
Willi Gujer ◽  
Mogens Henze ◽  
Takahashi Mino ◽  
Mark van Loosdrecht
Keyword(s):  
Activated Sludge ◽  
Activated Sludge Model

Model Calibration for the High-Purity Oxygen Activated Sludge Process – Algorithm Development and Evaluation

1993 ◽  
Vol 28 (11-12) ◽  
pp. 163-171 ◽  
Author(s):  
Weibo (Weber) Yuan ◽  
David Okrent ◽  
Michael K. Stenstrom
Keyword(s):  
Activated Sludge ◽  
High Purity ◽  
Model Calibration ◽  
Process Model ◽  
Model Parameters ◽  
Complex Method ◽  
Activated Sludge Process ◽  
Activated Sludge Model ◽  
Kinetic Coefficients ◽  
Calibration Algorithm

A model calibration algorithm is developed for the high-purity oxygen activated sludge process (HPO-ASP). The algorithm is evaluated under different conditions to determine the effect of the following factors on the performance of the algorithm: data quality, number of observations, and number of parameters to be estimated. The process model used in this investigation is the first HPO-ASP model based upon the IAWQ (formerly IAWPRC) Activated Sludge Model No. 1. The objective function is formulated as a relative least-squares function and the non-linear, constrained minimization problem is solved by the Complex method. The stoichiometric and kinetic coefficients of the IAWQ activated sludge model are the parameters focused on in this investigation. Observations used are generated numerically but are made close to the observations from a full-scale high-purity oxygen treatment plant. The calibration algorithm is capable of correctly estimating model parameters even if the observations are severely noise-corrupted. The accuracy of estimation deteriorates gradually with the increase of observation errors. The accuracy of calibration improves when the number of observations (n) increases, but the improvement becomes insignificant when n>96. It is also found that there exists an optimal number of parameters that can be rigorously estimated from a given set of information/data. A sensitivity analysis is conducted to determine what parameters to estimate and to evaluate the potential benefits resulted from collecting additional measurements.

Calibrating a side-stream membrane bioreactor using Activated Sludge Model No. 1

2005 ◽  
Vol 52 (10-11) ◽  
pp. 359-367 ◽  
Author(s):  
T. Jiang ◽  
X. Liu ◽  
M.D. Kennedy ◽  
J.C. Schippers ◽  
P.A. Vanrolleghem
Keyword(s):  
Activated Sludge ◽  
Biological Behaviour ◽  
Activated Sludge Model ◽  
Effluent Quality ◽  
Side Stream ◽  
Steady State Operation ◽  
Autotrophic Biomass ◽  
Biological Performance ◽  
Activated Sludge Processes ◽  
Influent Wastewater

Membrane bioreactors (MBRs) are attracting global interest but the mathematical modeling of the biological performance of MBRs remains very limited. This study focuses on the modeling of a side-stream MBR system using the Activated Sludge Model No. 1 (ASM1), and compares the results with the modeling of traditional activated sludge processes. ASM1 parameters relevant for the long-term biological behaviour in MBR systems were calibrated (i.e. YH = 0.72gCOD/gCOD, YA = 0.25gCOD/gN, bH = 0.25d−1, bA = 0.080d−1 and fP = 0.06), and generally agreed with the parameters in traditional activated sludge processes, with the exception that a higher autotrophic biomass decay rate was observed in the MBR. Influent wastewater characterization was proven to be a critical step in model calibration, and special care should be taken in characterizing the inert particulate COD (XI) concentration in the MBR influent. It appeared that the chemical–biological method was superior to the physical–chemical method. A sensitivity analysis for steady-state operation and DO dynamics suggested that the biological performance of the MBR system (the sludge concentration, effluent quality and the DO dynamics) are very sensitive to the parameters (i.e. YH, YA, bH, bA μmaxH and μmaxA), and influent wastewater components (XI, Ss, Xs and SNH).

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