Development of a model for assessing methane formation in rising main sewers

Guisasola, Albert, Sharma, Keshab R., Keller, Jurg and Yuan, Zhizuo (2009) Development of a model for assessing methane formation in rising main sewers. Water research, 43 11: 2874-2884. doi:10.1016/j.watres.2009.03.040


Author Guisasola, Albert
Sharma, Keshab R.
Keller, Jurg
Yuan, Zhizuo
Title Development of a model for assessing methane formation in rising main sewers
Journal name Water research   Check publisher's open access policy
ISSN 0043-1354
Publication date 2009-06
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.watres.2009.03.040
Volume 43
Issue 11
Start page 2874
End page 2884
Total pages 11
Editor David Dixon
Jean-Claude Block
Mogens Henze
Place of publication Oxford, U.K.
Publisher Pergamon Press
Collection year 2010
Language eng
Subject C1
Abstract Significant methane formation in sewers has been reported recently, which may contribute significantly to the overall greenhouse gas emission from wastewater systems. The understanding of the biological conversions occurring in sewers, particularly the competition between methanogenic and sulfate-reducing populations for electron donors, is an essential step for minimising methane emissions from sewers. This work proposes an extensionto the current state-of-the-art models characterising biological and physicochemical processes in sewers. This extended model includes the competitive interactions of sulfate-reducing bacteria and methanogenic archaea in sewers for various substrates available. The most relevant parameters of the model were calibrated with lab-scale experimental data. The calibrated model described field data reasonably well. The model was then used to investigate the effect of several key sewer design and operational parameters on methane formation. The simulation results showed that methane production was highly correlated with the hydraulic residence time (HRT) and pipe area to volume (A/V) ratio showing higher methane concentrations at a long HRT or a larger A/V ratio. ª 2009 Elsevier Ltd. All rights reserved.
Keyword Sewers
Greenhouse gas emissions
Methane
Methanogens
Sulfate-reducing bacteria
Sulfide
Modelling
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
Advanced Water Management Centre Publications
 
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Created: Thu, 03 Sep 2009, 07:55:04 EST by Mr Andrew Martlew on behalf of Advanced Water Management Centre