Towards a benchmarking tool for minimizing wastewater utility greenhouse gas footprints

Guo, L., Porro, J., Sharma, K. R., Amerlinck, Y., Benedetti, L., Nopens, I., Shaw, A., Van Hulle, S. W. H., Yuan, Z. and Vanrolleghem, P. A. (2012) Towards a benchmarking tool for minimizing wastewater utility greenhouse gas footprints. Water Science and Technology, 66 11: 2483-2495. doi:10.2166/wst.2012.495

Author Guo, L.
Porro, J.
Sharma, K. R.
Amerlinck, Y.
Benedetti, L.
Nopens, I.
Shaw, A.
Van Hulle, S. W. H.
Yuan, Z.
Vanrolleghem, P. A.
Title Towards a benchmarking tool for minimizing wastewater utility greenhouse gas footprints
Journal name Water Science and Technology   Check publisher's open access policy
ISSN 0273-1223
Publication date 2012-01
Sub-type Article (original research)
DOI 10.2166/wst.2012.495
Volume 66
Issue 11
Start page 2483
End page 2495
Total pages 13
Place of publication London, United Kingdom
Publisher I W A Publishing
Collection year 2013
Language eng
Formatted abstract
A benchmark simulation model, which includes a wastewater treatment plant (WWTP)-wide model and a rising main sewer model, is proposed for testing mitigation strategies to reduce the system's greenhouse gas (GHG) emissions. The sewer model was run to predict methane emissions, and its output was used as the WWTP model input. An activated sludge model for GHG (ASMG) was used to describe nitrous oxide (N2O) generation and release in activated sludge process. N2O production through both heterotrophic and autotrophic pathways was included. Other GHG emissions were estimated using empirical relationships. Different scenarios were evaluated comparing GHG emissions, effluent quality and energy consumption. Aeration control played a clear role in N2O emissions, through concentrations and distributions of dissolved oxygen (DO) along the length of the bioreactor. The average value of N2O emission under dynamic influent cannot be simulated by a steady-state model subjected to a similar influent quality, stressing the importance of dynamic simulation and control. As the GHG models have yet to be validated, these results carry a degree of uncertainty; however, they fulfilled the objective of this study, i.e. to demonstrate the potential of a dynamic system-wide modelling and benchmarking approach for balancing water quality, operational costs and GHG emissions.
Keyword Benchmarking
Dynamic modelling
Greenhouse gas
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
Advanced Water Management Centre Publications
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