Applications of Activated Sludge Models

Brdjanović, Damir; Meijer, Sebastiaan; López-Vázquez, Carlos M.; Hooijmans, Christine M.; Loosdrecht, Mark C.M. van

doi:10.2166/9781780404660

Cited by 17 publications

(6 citation statements)

References 97 publications

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“…One of the application areas is the use of models in optimisation and troubleshooting of real wastewater treatment plants. A recent book on applications of activated sludge models [12] encompasses a number of case studies, where models were developed and applied in real-world applications for optimization of nitrogen and phosphorous removal processes, plant hydraulics evaluation, effluent quality optimization, plant wide modelling and cost-effective design and reconstruction of wastewater treatment infrastructure. A membrane bioreactor's case-study performed in [13] confirmed significant improvements on the nitrogen removal efficiency as well as energy reduction that was gained through a model-based approach.…”

Section: Introductionmentioning

confidence: 99%

“…As mentioned in several recent publications related to WWTP modelling (e.g., [1] and [12]), "the development of standardized modelling procedures and better knowledge transfer by making available some practical case studies" are considered as "key instruments to address certain obstacles like the complexity of the model procedures, the time consuming steps and the reliability of the models". In this paper the procedure of model design is demonstrated, long-term performance of models compared to real plant operation data is evaluated, and potential improvement of plant designs based on simulation models is demonstrated.…”

Section: Introductionmentioning

confidence: 99%

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The Use of Dynamic Mathematical Models for Improving the Designs of Upgraded Wastewater Treatment Plants

Hvala¹,

Vrečko²,

Levstek³

et al. 2017

J. sustain. dev. energy water environ. syst.

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Mathematical models and simulation are becoming increasingly used tools in the optimization of wastewater treatment plants. In this paper, the use of these tools is presented for wastewater treatment plant upgrading. Two case studies are presented, which will be upgraded for tertiary treatment to achieve effluent total nitrogen and total phosphorous concentrations below 10 mg/l and 1 mg/l, respectively. The plant performance after upgrading was assessed by first designing the process model, before upgrading the model for future operation under dynamic influent conditions. Long-term simulations revealed some bottlenecks in the upgraded plant performance and thus helped to improve the plant designs. In one case the total volume of the reactors was increased subsequently, while in the other case tighter denitrification control or additional reject water treatment was proposed. These results indicate that mathematical models can be considered as valuable tools to complement the established wastewater treatment plant design procedures. Advantages are gained by simulating the operation under dynamic operating conditions, precise wastewater characterization, as well as adjustment of stoichiometric and kinetic parameters to a particular wastewater treatment plant operation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Use of Dynamic Mathematical Models for Improving the Designs of Upgraded Wastewater Treatment Plants

Hvala¹,

Vrečko²,

Levstek³

et al. 2017

J. sustain. dev. energy water environ. syst.

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show abstract

“…Research into the design and operation of activated sludge systems are supported traditionally by two communities: (a) on the one hand, the environmental biotechnology 10 community with the advances in gene sequencing technology and molecular probes (such as qPCR, FISH, phylogenetic trees, operational taxonomic units (OTUs), meta-transcriptomics, proteomics, metabolomics, etc.) studies underpinning microbiological community (who are they and what they do) responsible for nutrient removal in the plant, and (b) process design, modeling and control community [12][13][14][15][16] that works with process models and uses traditional process data (such as influent COD their fractions (SS, XS, SI, and XI), nitrogen (NH 4 , NO 3 , NO 2 -N, TKN), PO 4 , TP, MLSS, VSS, BOD, etc.) to develop and validate new models and techniques to support design and operation of the plants.…”

Section: Scientific Perspectivesmentioning

confidence: 99%

Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling

Sin

2021

npj Clean Water

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The introduction of Activated Sludge Models No. 1 (ASM1) in the early 1980s has led to a decade-long experience in applying these models and demonstrating their maturity for the wastewater treatment plants’ design and operation. However, these models have reached their limits concerning complexity and application accuracy. A case in point is that despite many extensions of the ASMs proposed to describe N2O production dynamics in the activated sludge plants, these models remain too complicated and yet to be validated. This perspective paper presents a new vision to advance process modeling by explicitly integrating the information about the microbial community as measured by molecular data in activated sludge models. In this new research area, we propose to harness the synergy between the rich molecular data from advanced gene sequencing technology with its integration through artificial intelligence with process engineering models. This is an interdisciplinary research area enabling the two separate disciplines, namely environmental biotechnology, to join forces and work together with the modeling and engineering community to perform new understanding and model-based engineering for sustainable WWTPs of the future.

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“…In 1982, the International Association for Water Pollution Research and Control (IAWPRC) developed ASM1 to primarily explain organic compound and nitrogen removal, with the simultaneous use of oxygen and nitrate as electron acceptors. The model provides a clear explanation of sludge production and measures organic matter concentration, COD (Chemical Oxygen Demand) (Brdjanovic et al, 2015). The model is based on Monod Kinetics that predicts biological reaction processes.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Mathematical Models for Wastewater Treatment: A Review and Analysis of Activated Sludge Models ASM1 and ASM3

Savun-Hekimoğlu¹

2021

International Journal of Environment and Geoinformatics

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Mathematical models describing the dynamics of key biochemical processes in conventional activated sludge processes are commonly used to design and operate wastewater treatment plants. Since the introduction of the first activated sludge model, namely Activated Sludge Model No. 1 (ASM1), in 1987 by the International Water Association, ASM models received considerable attention and several extensions were suggested. In this study, we briefly review the literature on two important activated sludge models, ASM1 and ASM3. Our literature review indicates that despite the presence of many articles on ASM there is no study on the parameter sensitivity of these differential equation models. In the second part of the study, these two models are simulated in MATLAB with different initial values and parameter combinations to develop further insight into the model structures. In the third part of the study, experiments with ASM1 and ASM3 models are conducted in MATLAB and a basic sensitivity analysis is applied for the parameters of the two models.

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Applications of Activated Sludge Models

Abstract: The competition between polyphosphate-accumulating organisms and glycogen-accumulating organisms: temperature effects and modelling. PhD dissertation.

Cited by 17 publications

References 97 publications

The Use of Dynamic Mathematical Models for Improving the Designs of Upgraded Wastewater Treatment Plants

The Use of Dynamic Mathematical Models for Improving the Designs of Upgraded Wastewater Treatment Plants

Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling

On the Use of Mathematical Models for Wastewater Treatment: A Review and Analysis of Activated Sludge Models ASM1 and ASM3

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