Uncertainty analysis of WWTP control strategies made feasible

Benedetti, Lorenzo, Batstone, Damien J., De Baets, Bernard, Nopens, Ingmar and Vanrolleghem, Peter A. (2012) Uncertainty analysis of WWTP control strategies made feasible. Water Quality Research Journal of Canada, 47 1: 14-29. doi:10.2166/wqrjc.2012.038

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Author Benedetti, Lorenzo
Batstone, Damien J.
De Baets, Bernard
Nopens, Ingmar
Vanrolleghem, Peter A.
Title Uncertainty analysis of WWTP control strategies made feasible
Journal name Water Quality Research Journal of Canada   Check publisher's open access policy
ISSN 1201-3080
Publication date 2012
Sub-type Article (original research)
DOI 10.2166/wqrjc.2012.038
Volume 47
Issue 1
Start page 14
End page 29
Total pages 16
Place of publication London,, United Kingdom
Publisher I W A Publishing
Collection year 2013
Language eng
Abstract The control of wastewater treatment plants can help to achieve good effluent quality, in a complex, highly non-linear environment. A key but time-demanding component of such modelling studies is uncertainty analysis (UA). The general aims of this paper are (a) to evaluate methods for reduction of the time necessary to conduct an UA, and (b) to evaluate the sensitivity of parameters and model subsystems. Two UA studies on the Benchmark Simulation Model no. 2 (BSM2) are used to illustrate how the above mentioned aims can be achieved: (1) robustness of performance evaluations against changing operation and design conditions; and (2) uncertainty of performance evaluations for a given plant layout and operation. The main conclusions are: (1) solver settings have a large impact on simulation speed and require proper attention; (2) to reach convergence in Monte Carlo simulations with Latin Hypercube Sampling, the number of simulations should be at least 50 times the number of sampled parameters, which is more than what is reported in similar studies; and (3) the number of uncertain parameters that needs to be considered to make a proper uncertainty assessment of a model can be reduced significantly by omitting parameters that have little influence.
Keyword Activated sludge
Anaerobic digestion
Global sensitivity analysis
Mathematical modelling
Numerical methods
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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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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Created: Wed, 10 Apr 2013, 15:08:29 EST by Susan Cooke on behalf of Advanced Water Management Centre