Literature DB >> 23219387

Activated sludge rheology: a critical review on data collection and modelling.

N Ratkovich1, W Horn, F P Helmus, S Rosenberger, W Naessens, I Nopens, T R Bentzen.   

Abstract

Rheological behaviour is an important fluid property that severely impacts its flow behaviour and many aspects related to this. In the case of activated sludge, the apparent viscosity has an influence on e.g. pumping, hydrodynamics, mass transfer rates, sludge-water separation (settling and filtration). It therefore is an important property related to process performance, including process economics. To account for this, rheological behaviour is being included in process design, necessitating its measurement. However, measurements and corresponding protocols in literature are quite diverse, leading to varying results and conclusions. In this paper, a vast amount of papers are critically reviewed with respect to this and important flaws are highlighted with respect to rheometer choice, rheometer settings and measurement protocol. The obtained rheograms from experimental efforts have frequently been used to build viscosity models. However, this is not that straightforward and a lot of errors can be detected with respect to good modelling practice, including fair model selection criteria, qualitative parameter estimations and proper model validation. These important steps are however recurrently violated, severely affecting the model reliability and predictive power. This is illustrated with several examples. In conclusion, dedicated research is required to improve the rheological measurements and the models derived from them. At this moment, there is no guidance with respect to proper rheological measurements. Moreover, the rheological models are not very trustworthy and remain very "black box". More insight in the physical background needs to be gained. A model-based approach with dedicated experimental data collection is the key to address this.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23219387     DOI: 10.1016/j.watres.2012.11.021

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

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Authors:  M C Collivignarelli; A Abbà; A Frattarola; S Manenti; S Todeschini; G Bertanza; R Pedrazzani
Journal:  Environ Monit Assess       Date:  2019-11-01       Impact factor: 2.513

2.  Tertiary treatment (Chlorella sp.) of a mixed effluent from two secondary treatments (immobilized recombinant P. pastori and rPOXA 1B concentrate) of coloured laboratory wastewater (CLWW).

Authors:  Leidy D Ardila-Leal; Valentina Hernández-Rojas; Diana N Céspedes-Bernal; Juan F Mateus-Maldonado; Claudia M Rivera-Hoyos; Lucas D Pedroza-Camacho; Raúl A Poutou-Piñales; Aura M Pedroza-Rodríguez; Alejandro Pérez-Florez; Balkys E Quevedo-Hidalgo
Journal:  3 Biotech       Date:  2020-05-06       Impact factor: 2.406

3.  Non-domestic wastewater treatment with fungal/bacterial consortium followed by Chlorella sp., and thermal conversion of the generated sludge.

Authors:  Diana N Céspedes-Bernal; Juan F Mateus-Maldonado; Jorge A Rengel-Bustamante; María C Quintero-Duque; Claudia M Rivera-Hoyos; Raúl A Poutou-Piñales; Lucia A Díaz-Ariza; Laura C Castillo-Carvajal; Adriana I Páez-Morales; Aura M Pedroza-Rodríguez
Journal:  3 Biotech       Date:  2021-04-20       Impact factor: 2.406

4.  Effects of potassium permanganate conditioning on dewatering and rheological behavior of pulping activated sludge: mechanism and feasibility.

Authors:  Xin Zhang; Hui Cai; Jun Shen; Hui Zhang
Journal:  RSC Adv       Date:  2018-12-10       Impact factor: 4.036

5.  Advanced Wastewater Treatment Engineering-Investigating Membrane Fouling in both Rotational and Static Membrane Bioreactor Systems Using Empirical Modelling.

Authors:  Parneet Paul; Franck Anderson Jones
Journal:  Int J Environ Res Public Health       Date:  2016-01-05       Impact factor: 3.390

  5 in total

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