A general model of the activated sludge reactor with dispersive flow—I. model development and parameter estimation

Mąkinia, Jacek; Wells, Scott A.

doi:10.1016/s0043-1354(00)00150-0

Cited by 51 publications

(29 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Sensitivity analysis has been widely applied to reduce model complexity, determine the significance of model parameters and identify dominant parameters (Makinia and Wells, 2000;Bernard et al, 2001;Degenring et al, 2004). In this study, the local relative sensitivity analysis method (Dochain and Vanrolleghem, 2001) was employed to calculate sensitivity functions.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Anaerobic digestion model No. 1-based distributed parameter model of an anaerobic reactor: II. Model validation

Tartakovsky

Zeng

et al. 2008

Bioresource Technology

View full text Add to dashboard Cite

In this study, an ADM1-based distributed parameter model was validated using experimental results obtained in a laboratory-scale 10 L UASB reactor. Sensitivity analysis of the model parameters was used to select four parameters for estimation by a numerical procedure while other parameters were accepted from ADM1 benchmark simulations. The parameter estimation procedure used measurements of liquid phase components obtained at different sampling points in the reactor and under different operating conditions. Model verification used real time fluorescence-based measurements of chemical oxygen demand and volatile fatty acids at four sampling locations in the reactor. Overall, the distributed parameter model was able to describe the distribution of liquid phase components in the reactor and adequately simulated the effect of external recirculation on degradation efficiency. The model can be used in the design, analysis and optimization of UASB reactors.

show abstract

Section: Sensitivity Analysismentioning

confidence: 99%

Anaerobic digestion model No. 1-based distributed parameter model of an anaerobic reactor: II. Model validation

Tartakovsky

Zeng

et al. 2008

Bioresource Technology

View full text Add to dashboard Cite

show abstract

“…Under these conditions, the effluent COD is negligible, pointing out the capacity of MFC to deplete the fed organic load. The influence of the SRT on the performance of the biooxidation of organics is well-known, and it is usually explained in terms of the higher activated sludge concentration in the mixed liquor, associated with the lower purge ratio applied at higher SRTs [33].…”

Section: Figure 2 Near Here]mentioning

confidence: 99%

The influence of sludge retention time on mixed culture microbial fuel cell start-ups

Mateo

D’Angelo

Scialdone

et al. 2017

Biochemical Engineering Journal

View full text Add to dashboard Cite

In this work, the start-ups of air-cathode microbial fuel cells (MFCs) seeds with conventional activated sludge cultivated at different solid retention times (SRTs) are compared. A clear influence of the SRT of the inoculum was observed, corresponding to an SRT of 10 days to the higher current density exerted, about 0.2 A m -2 . This observation points out that, in this type of electrochemical device, it is recommended to use high SRT seeds. The work also points out that in order to promote an efficient start-up, it is not only necessary to use high SRT seeds, but also to feed a high COD concentration. When feeding 10000 ppm COD and keeping SRT of 10 d differences of current densities up to 0.1 A m -2were observed within a cycle. Additionally it was observed that SRT influences direct and indirect electron transfer mechanisms, being the direct mechanisms the most relevant ones, accounting for more than 95% of the total electricity production.

show abstract

“…ASM1 model enables the simulation of the processes of removal of organic compounds and nitrogen compounds from wastewater, with taking into account unit processes which occur both in wastewater, as well as active sludge [7,10,14,27]. The next version of the Model was ASM2.…”

Section: Cod Fraction In Biokinetic Asm Modelsmentioning

confidence: 99%

Cod Fractions In Mechanical-Biological Wastewater Treatment Plant

Płuciennik-Koropczuk

Jakubaszek

Myszograj

et al. 2017

Civil and Environmental Engineering Reports

View full text Add to dashboard Cite

The paper presents results of studies concerning the designation of COD fraction in the raw, mechanically treated and biologically treated wastewater. The test object was a wastewater treatment plant with the output of over 20,000 PE. The results were compared with data received in the ASM models. During investigation following fractions of COD were determined: dissolved non-biodegradable SI, dissolved easily biodegradable SS, in organic suspension slowly degradable XS and in organic suspension nonbiodegradable XI. Methodology for determining the COD fraction was based on the guidelines ATV-A 131. The real percentage of each fraction in total COD in raw wastewater are different from data received in ASM models.

show abstract

A general model of the activated sludge reactor with dispersive flow—I. model development and parameter estimation

Cited by 51 publications

References 13 publications

Anaerobic digestion model No. 1-based distributed parameter model of an anaerobic reactor: II. Model validation

Anaerobic digestion model No. 1-based distributed parameter model of an anaerobic reactor: II. Model validation

The influence of sludge retention time on mixed culture microbial fuel cell start-ups

Cod Fractions In Mechanical-Biological Wastewater Treatment Plant

Contact Info

Product

Resources

About