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Uncertainty analysis of WWTP control strategies made feasible

Lorenzo Benedetti UGent, Damien J Batstone, Bernard De Baets UGent, Ingmar Nopens UGent and Peter A Vanrolleghem (2012) WATER QUALITY RESEARCH JOURNAL OF CANADA. 47(1). p.14-29
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
anaerobic digestion, activated sludge, BSM2, global sensitivity analysis, mathematical modelling, numerical methods, MODEL, SIMULATION, BENCHMARK, METHODOLOGY, DIGESTION, SUPPORT
journal title
WATER QUALITY RESEARCH JOURNAL OF CANADA
Water Qual. Res. J. Canada
volume
47
issue
1
pages
14 - 29
Web of Science type
Article
Web of Science id
000305295900002
JCR category
WATER RESOURCES
JCR impact factor
0.25 (2012)
JCR rank
76/80 (2012)
JCR quartile
4 (2012)
ISSN
1201-3080
DOI
10.2166/wqrjc.2012.038
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2918800
handle
http://hdl.handle.net/1854/LU-2918800
date created
2012-06-25 15:10:02
date last changed
2012-09-28 13:06:31
@article{2918800,
  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.},
  author       = {Benedetti, Lorenzo and Batstone, Damien J and De Baets, Bernard and Nopens, Ingmar and Vanrolleghem, Peter A},
  issn         = {1201-3080},
  journal      = {WATER QUALITY RESEARCH JOURNAL OF CANADA},
  keyword      = {anaerobic digestion,activated sludge,BSM2,global sensitivity analysis,mathematical modelling,numerical methods,MODEL,SIMULATION,BENCHMARK,METHODOLOGY,DIGESTION,SUPPORT},
  language     = {eng},
  number       = {1},
  pages        = {14--29},
  title        = {Uncertainty analysis of WWTP control strategies made feasible},
  url          = {http://dx.doi.org/10.2166/wqrjc.2012.038},
  volume       = {47},
  year         = {2012},
}

Chicago
Benedetti, Lorenzo, Damien J Batstone, Bernard De Baets, Ingmar Nopens, and Peter A Vanrolleghem. 2012. “Uncertainty Analysis of WWTP Control Strategies Made Feasible.” Water Quality Research Journal of Canada 47 (1): 14–29.
APA
Benedetti, L., Batstone, D. J., De Baets, B., Nopens, I., & Vanrolleghem, P. A. (2012). Uncertainty analysis of WWTP control strategies made feasible. WATER QUALITY RESEARCH JOURNAL OF CANADA, 47(1), 14–29.
Vancouver
1.
Benedetti L, Batstone DJ, De Baets B, Nopens I, Vanrolleghem PA. Uncertainty analysis of WWTP control strategies made feasible. WATER QUALITY RESEARCH JOURNAL OF CANADA. 2012;47(1):14–29.
MLA
Benedetti, Lorenzo, Damien J Batstone, Bernard De Baets, et al. “Uncertainty Analysis of WWTP Control Strategies Made Feasible.” WATER QUALITY RESEARCH JOURNAL OF CANADA 47.1 (2012): 14–29. Print.