Calibration and validation of activated sludge model no. 3 for Swiss municipal wastewater

Koch, Gerhard

doi:10.1016/s0043-1354(00)00105-6

Cited by 137 publications

(90 citation statements)

References 12 publications

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“…The COD value of the SI and XI fractions undergoes the smallest changes as a result of the activity of microorganisms. A part of the XI fraction is removed together with the excess biomass [13][14][15][16]. 1 0.0 A -raw wastewater.…”

Section: Resultsmentioning

confidence: 99%

COD fractions changes in the SBR-type reactor treating municipal wastewater with controlled percentage of dairy sewage

Struk-Sokołowska

Rodziewicz

2017

E3S Web Conf.

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Abstract. The aim of study was to investigate the influence of percentage of dairy wastewater in the municipal wastewater on the changes of COD fractions during the cycle of SBR-type reactor. The scope of the research included physicochemical analyses of municipal wastewater without dairy wastewater, dairy wastewater, mixture of municipal and dairy wastewater as well as treated sewage. Both the concentrations and the proportions between COD fractions changed in the SBR cycle. In raw municipal and dairy wastewater -XS, insoluble hardly bio-degradable fraction of COD dominated (49.6 and 64.5% respectively). In treated wastewater SI, COD for dissolved compounds that are not biologically decomposed (inert) (from 62.1 to 74.6%) dominated, while XS fraction was from 19.1 to 24.4%. The consumption rate of organic compounds depended on the type of COD fraction, SBR cycle phase and the percentage of dairy wastewater. The highest rates of organic compounds consumption were noted in the phase of mixing. In the case of fraction SI, no differences in concentration in the SBR cycle time, were found. Concentration of COD in treated wastewater was from 34.8 to 58.9 mgO2·L -1 (efficiency wastewater treatment from 96.0 to 98.6%).

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Section: Resultsmentioning

confidence: 99%

COD fractions changes in the SBR-type reactor treating municipal wastewater with controlled percentage of dairy sewage

Struk-Sokołowska

Rodziewicz

2017

E3S Web Conf.

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“…Defined in the calibration was a constant storage rate (K STO ) of 10 mgCOD (mgCOD·d) -1 . Koch et al (2000) found a value of 12 mgCOD·(mgCOD·d) -1 for a batch reactor at the pilot scale. The calibration of the SBR in the study yielded a result of 4.5 mgCOD·(mgCOD·d) -1 , which is below the standard value of the model.…”

Section: Calibrationmentioning

confidence: 95%

“…Krishna and van Loosdrecht (1999) defined in their calibration one storage rate (K STO ) of 10 mgCOD·(mgCOD·day) -1 . Koch et al (2000) found 12 mgCOD·(mgCOD·day) -1 for a batch reactor in the pilot scale. The cycle calibration resulted in 6.5 mgCOD·(mgCOD·day) -1 , which was higher than the default of the model.…”

Section: Calibrationmentioning

confidence: 97%

“…The ASM2d model is based on the ASM2 model but adds denitrification by phosphorus-accumulating organisms, which better describes the dynamics of phosphorus and nitrogen (Gernaey et al, 2004). The ASM3 model was tested by Koch et al (2000). Based on data from a pilot plant and several full-scale reactors at wastewater treatment stations in Switzerland, it was demonstrated that the calibrated model could properly model sludge production and denitrification with standardized parameters.…”

Section: Introductionmentioning

confidence: 99%

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Simulation and calibration of a full-scale sequencing batch reactor for wastewater treatment

Oselame

Fernandes

Costa

2014

Braz. J. Chem. Eng.

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-The aim of this study is to apply the main mathematical models used in activated sludge reactors, the Activated Sludge Model No. 1 (ASM1) and its variations (ASM2d and ASM3), to predict the behavior of a full-scale sequencing batch reactor (SBR) used for the treatment of domestic wastewater employing the software ASIM®. Two cycles were studied, the step-feed cycle and conventional filling. Samples were taken from the raw influent, from the reactor and from the treated wastewater, and these data were used to calibrate the models. The ASM1 model was the best model to represent the cycle with only an input, while model ASM3 was the best for simulating the scaled filling cycle. This work presents calibrated parameters for the two kinds of filling. The results of these simulations indicate that the calibration process succeeded and can be used as a model for future studies.

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“…Esto se debe principalmente al cambio del modelo de crecimiento-descomposición-crecimiento (muerte y regeneración) por un modelo de crecimientorespiración endógena, el cual evita la recirculación de materia orgánica (DQO) (Figura 14.11 Mientras que en el modelo ASM1, todas las variables se ven directamente influenciadas por un cambio en el valor de un parámetro, en el modelo ASM3 la influencia directa es en efecto mucho menor lo que permite una mejor identificación. Koch et al (2000) concluye que el ASM1 y el ASM3 son ambos capaces de describir el comportamiento dinámico en plantas de tratamiento convencionales, mientras que el ASM3 se desempeña mejor en situaciones donde el almacenamiento de substrato rápidamente biodegradable es significativo (aguas residuales industriales) o en plantas con una fracción de zonas no aireadas elevada. El modelo ASM3 puede extenderse para incluir un modelo de EBPR similar al modelo ASM2 (Ky et al, 2001;Rieger et al, 2001).…”

Section: Historia Del Desarrollo De Los Modelos De Lodos Activadosunclassified

Tratamiento biológico de aguas residuales: Principios, modelación y diseño

López-Vázquez¹,

Méndez²,

García³

et al. 2017

Water Intell Online

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Calibration and validation of activated sludge model no. 3 for Swiss municipal wastewater

Cited by 137 publications

References 12 publications

COD fractions changes in the SBR-type reactor treating municipal wastewater with controlled percentage of dairy sewage

COD fractions changes in the SBR-type reactor treating municipal wastewater with controlled percentage of dairy sewage

Simulation and calibration of a full-scale sequencing batch reactor for wastewater treatment

Tratamiento biológico de aguas residuales: Principios, modelación y diseño

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