Dynamic modelling of the activated sludge process: a case study

Lessard, Paul; Beck, M.B.

doi:10.1016/0043-1354(93)90060-u

Cited by 43 publications

(33 citation statements)

References 11 publications

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“…Le temps de rétention des boues dans le bassin de consolidation varie entre deux et trois jours. Des échantillons ont été recueillis toutes les trois heures durant dix jours pour chaque point d'échantillonnage (Figure 1), à l'exception du soutirage des boues du clarificateur primaire où une seule donnée par jour a été mesurée (LESSARD et BECK, 1993). Les détails concernant l'échantillonnage ainsi que les tableaux détaillés des données expérimentales proviennent de GOLDSTONE et al (1990a), GOLDSTONE et al (1990b) et LESSARD (1989.…”

Section: Matériel Et Méthodesunclassified

“…La simulation des six lignes d'aération parallèles consiste en quatre réacteurs parfaitement mélangés en séries et à volume constant, soit 2 520 m³ chacun, afin de conserver le même volume total que la station (LESSARD et BECK, 1993). Comme illustrée à la figure 1, l'alimentation des réacteurs se compose de l'effluent du clarificateur primaire, combiné à la recirculation des boues et au surnageant du bassin de consolidation.…”

Section: Réacteurunclassified

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Modélisation dynamique du comportement des métaux lourds dans des stations d’épuration

Cloutier

Jalby

Lessard

et al. 2009

rseau

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Le but de ce travail était de développer un modèle permettant de décrire le comportement des métaux lourds, en plus des polluants traditionnels, dans une station d’épuration par boues activées et pouvant être utilisé pour sa conception et son optimisation. Le modèle, qui considère la sorption des métaux lourds sur des matières en suspension comme processus réactionnel, a été évalué à partir de données recueillies durant dix jours dans un système réel de traitement par boues activées. Les résultats démontrent la sensibilité du modèle face aux importantes variations instantanées des concentrations de métaux lourds dans l’affluent. Il est néanmoins capable de prévoir l’évolution des concentrations de métaux lourds à l’intérieur de la station et à l’effluent.The aim of this work was to develop a model which simultaneously describes the fate of heavy metals and traditional pollutants in an activated sludge wastewater treatment plant. The model could then be used to design and optimize WWTPs. The evaluation of the model, which considers the sorption of heavy metals onto suspended solids as the reactive process, was done with a set of data obtained during a 10-day monitoring period in an activated sludge plant. The results show a significant sensitivity of the model towards the important variations in heavy metal concentrations in the influent. Nonetheless, the model is able to describe the heavy metal concentration dynamics inside the WWTP, as well as in the effluent

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Section: Matériel Et Méthodesunclassified

Section: Réacteurunclassified

Modélisation dynamique du comportement des métaux lourds dans des stations d’épuration

Cloutier

Jalby

Lessard

et al. 2009

rseau

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“…Figure 3 shows that the effluent biomass concentration (X out ) will always increase as R (%) increases due to the biomass resulting from the degradation of the substrate and ammonia. Yuichi Suwa et al [10] showed that the higher the concentration of sludge biomass in an aeration basin, the larger the number of microorganisms and the number of flocs which possess aerobic and anoxic micro-sites inside the flocs. Thus the oxidation and denitrification rate in the aeration basin will be enhanced by higher volumetric BOD loading.…”

Section: Effect Of Recycle Ratiomentioning

confidence: 99%

“…The aeration basin volume Simulation results for Helwan WWTP: It is important to note that the effluent BOD and ammonia field data can only serve as a rough guide for evaluating the model behavior because they are very noisy [10] . Considering the previous operating data for the northern aeration basin for Helwan WWTP in the simulation model for readily biodegradable substrate BOD (S) and ammonia (H), the results shown in Table 3 The average removal error between the theoretical and real values of ammonia (H) comes from the air stripping operation where the assumed value of the air stripping operation where the assumed value of the air stripping factor may not be accurate enough to express the real amount which was lost when exposed to free air.…”

Section: Operating Data For Helwan Wwtp Aeration Basinmentioning

confidence: 99%

Heterogeneous Modeling, Identification and Simulation of Activated Sludge Processes

Mustafa¹,

Ibrahim²,

Elkamel³

et al. 2009

American J. of Environmental Sciences

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Problem statement:The activated sludge system is a complex dynamic process and must account for a large number of reactions between large numbers of components. There is necessity for simulation models which describe the dynamic behavior of the activated sludge process. The application of the models in most treatment plants is limited due to lack of appropriate data acquisition and parameters identification studies. To realize this, an improvement of the operating strategies of Waste-Water Treatment Plants (WWTP) is required. The objectives of this study were to: (i) To build a process model considering mass transfer limitations and simulate an existing plant (Helwan WWTP) and validate the results using data from another existing plant with (Zenine WWTP). (ii) To adjust the model kinetic parameters of the biochemical reactions under the effect of mass transfer conditions to be prepared for simulation purposes. (iii) Study the effect of the operating conditions on the removal efficiency of both substrate and ammonia. Approach: A process model of the process was built considering mass transfer limitations and the three growth processes: Carbon oxidation, nitrification and denitrification. Helwan WWTP was used in order to extract the suitable stoichiometric and kinetic parameters to be used for the simulation. Helwan WWTP was used through the simulation results of the substrate (BOD) and ammonia. Egyptian Zenine WWTP was used for the testing and validation of the process model through predicting the response of substrate. Results: The average error of the removal efficiency in Helwan WWTP reached 3.3% for the substrate and 12.5% for the ammonia while the average error of the removal efficiency in Zenine WWTP of substrate reached 4.6%. The effects of recycle ratio, flow rate and influent substrate concentrations on the removal efficiency of the aeration tank were studied. It was found that the removal efficiency of substrate and ammonia was increased by increasing the recycle ratio, influent substrate concentrations and also increased by decreasing influent flow rates. It was found also that the sludge age increased by increasing the recycle ratio and decreased by decreasing the influent flow rates. Conclusion: The heterogeneous process model was able to describe the characteristics and reflects the real phenomena existing in activated sludge processes.

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“…The wastewater treatment plant is based on the Norwich sewage networks in eastern England and was studied in detail by Lessard and Beck (1993). This treatment plant has the capacity to treat an average dry weather flow of 27,500 m 3 /d, and consists of a storm tank, primary clarifier, and activated sludge reactor and secondary clarifier.…”

Section: The Integrated Urban Catchmentmentioning

confidence: 99%

The impact of new developments on river water quality from an integrated system modelling perspective

Butler

Khu

2009

Science of The Total Environment

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Dynamic modelling of the activated sludge process: a case study

Cited by 43 publications

References 11 publications

Modélisation dynamique du comportement des métaux lourds dans des stations d’épuration

Modélisation dynamique du comportement des métaux lourds dans des stations d’épuration

Heterogeneous Modeling, Identification and Simulation of Activated Sludge Processes

The impact of new developments on river water quality from an integrated system modelling perspective

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