Predicting the degradability of waste activated sludge

The objective of this study was to identify methods for estimating anaerobic digestibility of waste activated sludge (WAS). The WAS streams were generated in three sequencing batch reactors (SBRs) treating municipal wastewater. The wastewater and WAS properties were initially determined through simu...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Water environment research : a research publication of the Water Environment Federation. - 1998. - 81(2009), 8 vom: 18. Aug., Seite 765-71
1. Verfasser: Jones, Richard (VerfasserIn)
Weitere Verfasser: Parker, Wayne, Zhu, Henry, Houweling, Dwight, Murthy, Sudhir
Format: Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:Water environment research : a research publication of the Water Environment Federation
Schlagworte:Journal Article Sewage Methane OP0UW79H66 Oxygen S88TT14065
Beschreibung
Zusammenfassung:The objective of this study was to identify methods for estimating anaerobic digestibility of waste activated sludge (WAS). The WAS streams were generated in three sequencing batch reactors (SBRs) treating municipal wastewater. The wastewater and WAS properties were initially determined through simulation of SBR operation with BioWin (EnviroSim Associates Ltd., Flamborough, Ontario, Canada). Samples of WAS from the SBRs were subsequently characterized through respirometry and batch anaerobic digestion. Respirometry was an effective tool for characterizing the active fraction of WAS and could be a suitable technique for determining sludge composition for input to anaerobic models. Anaerobic digestion of the WAS revealed decreasing methane production and lower chemical oxygen demand removals as the SRT of the sludge increased. BioWin was capable of accurately describing the digestion of the WAS samples for typical digester SRTs. For extended digestion times (i.e., greater than 30 days), some degradation of the endogenous decay products was assumed to achieve accurate simulations for all sludge SRTs
Beschreibung:Date Completed 01.12.2009
Date Revised 23.09.2019
published: Print
Citation Status MEDLINE
ISSN:1554-7531