scholarly journals Applications of Activated Sludge Models

2015 ◽  
Vol 14 ◽  
Author(s):  
Damir Brdjanovic
Keyword(s):  
Activated Sludge ◽  
Activated Sludge Models

A simplified method to assess structurally identifiable parameters in Monod-based activated sludge models

2003 ◽  
Vol 37 (12) ◽  
pp. 2893-2904 ◽  
Author(s):  
Britta Petersen ◽  
Krist Gernaey ◽  
Martijn Devisscher ◽  
Denis Dochain ◽  
Peter A. Vanrolleghem
Keyword(s):  
Activated Sludge ◽  
Simplified Method ◽  
Activated Sludge Models

A systematic approach for model verification: application on seven published activated sludge models

2010 ◽  
Vol 61 (4) ◽  
pp. 825-839 ◽  
Author(s):  
H. Hauduc ◽  
L. Rieger ◽  
I. Takács ◽  
A. Héduit ◽  
P. A. Vanrolleghem ◽  
...  
Keyword(s):  
Activated Sludge ◽  
Systematic Approach ◽  
Model Development ◽  
Model Verification ◽  
Software Implementation ◽  
Model Description ◽  
Kinetic Rate ◽  
Simulation Results ◽  
Activated Sludge Models

The quality of simulation results can be significantly affected by errors in the published model (typing, inconsistencies, gaps or conceptual errors) and/or in the underlying numerical model description. Seven of the most commonly used activated sludge models have been investigated to point out the typing errors, inconsistencies and gaps in the model publications: ASM1; ASM2d; ASM3; ASM3 + Bio-P; ASM2d + TUD; New General; UCTPHO+. A systematic approach to verify models by tracking typing errors and inconsistencies in model development and software implementation is proposed. Then, stoichiometry and kinetic rate expressions are checked for each model and the errors found are reported in detail. An attached spreadsheet (see http://www.iwaponline.com/wst/06104/0898.pdf) provides corrected matrices with the calculations of all stoichiometric coefficients for the discussed biokinetic models and gives an example of proper continuity checks.

Important limitations in the modeling of activated sludge: biased calibration of the hydrolysis process

2002 ◽  
Vol 45 (12) ◽  
pp. 23-36 ◽  
Author(s):  
G. Insel ◽  
Ö. Karahan Gül ◽  
D. Orhon ◽  
P.A. Vanrolleghem ◽  
M. Henze
Keyword(s):  
Activated Sludge ◽  
Hydrolysis Rate ◽  
Utilization Rate ◽  
Oxygen Utilization ◽  
Experimental Assessment ◽  
Experimental Database ◽  
Hydrolysis Process ◽  
Biochemical Mechanisms ◽  
Oxygen Utilization Rate ◽  
Activated Sludge Models

The merit of activated sludge models depends on the accuracy and reliability of the information they contain on the wastewater to be treated and the biochemical mechanisms involved. In most advanced calibration studies, respirometry i.e. the measurement of the oxygen utilization rate, (OUR), provides the majority of the required experimental database. However, currently used procedures still involve a number of basic and practical problems. Model evaluation of the OUR data may generate a distorted image of the processes involved. Hydrolysis is the most important, yet the most vulnerable process as far as the experimental assessment of accurate kinetic parameters is concerned. This study intends to provide an overview of major experimental limitations in the modeling of activated sludge, with emphasis on the appropriate experimental design for the assessment of the hydrolysis rate.

Activated Sludge Models ASM1, ASM2, ASM2d and ASM3

2015 ◽  
Vol 5 (0) ◽  
pp. 9781780402369-9781780402369 ◽  
Author(s):  
M. Henze ◽  
W. Gujer ◽  
T. Mino ◽  
M. van Loosedrecht
Keyword(s):  
Activated Sludge ◽  
Activated Sludge Models

scholarly journals Activated Sludge Systems as Diferential Equations: A Fresh View on the Classical Models for Wastewater Treatment Plants

2014 ◽  
Vol 6 (2) ◽  
pp. 49-53
Author(s):  
Horea Olosutean ◽  
Letiţia Oprean
Keyword(s):  
Wastewater Treatment ◽  
Differential Equations ◽  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
Early Stage ◽  
Theory And Practice ◽  
Supplementary Data ◽  
Classical Models ◽  
Activated Sludge Models ◽  
Activated Sludge Systems

Abstract Present in the theory and practice of wastewater treatment for over 50 years in consistent numbers, activated sludge models are widely used by plant operators. The early stage models, based on differential equations were synthetized and reinterpreted, presenting new insides that can help to a better understanding of the processes involved in the wastewater treatment. A consistent symbology is presented, for a much homogenous perspective, and the obvious similarities between several equations from the models are pointed out. The incomplete information from the models is emphasized, showing their amount of providing supplementary data for plant operators and researchers in the field, as well as the causes leading to their drawbacks and the effects derived from these drawbacks.

Modeling error identification of activated sludge models

1997 ◽  
Vol 36 (5) ◽  
pp. 81-88 ◽  
Author(s):  
Zhigou Yuan ◽  
Peter A. Vanrolleghem ◽  
Ghislain C. Vansteenkiste
Keyword(s):  
Experimental Data ◽  
Activated Sludge ◽  
State Vector ◽  
The State ◽  
Modeling Error ◽  
Reactor Model ◽  
Modeling Errors ◽  
Denitrification Reactor ◽  
Signal Vector ◽  
Activated Sludge Models

Information about the location of modeling erros is crucial for the efficient improvement of an invalid model. This article discusses how to pinpoint modeling errors through comparison of experimental data with data obtained through simulation of the invalid model. An observer-based approach is presented. By designing a dedicated observer for the system using the invalid model, a signal vector is generated, on which each modeling error imposes an easily identifiable feature. An algorithm to analyze the featured signal is then presented. With this algorithm, the features of each of the modeling errors are extracted. The approach is illustrated for a denitrification reactor model in which errors in the dimension of the state vector, in the structure of the biokinetic relationship and in the values of the parameters could be identified.

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