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The incorporation of variability and uncertainty evaluations in WWTP design by means of stochastic dynamic modeling: the case of the Eindhoven WWTP upgrade

Lorenzo Benedetti, Evangelina Belia, Katrijn Cierkens, Tony Flameling, Bernard De Baets UGent, Ingmar Nopens UGent and Stefan Weijers (2013) WATER SCIENCE AND TECHNOLOGY. 67(8). p.1841-1850
abstract
This paper illustrates how a dynamic model can be used to evaluate a plant upgrade on the basis of post-upgrade performance data. The case study is that of the Eindhoven wastewater treatment plant upgrade completed in 2006. As a first step, the design process based on a static model was thoroughly analyzed and the choices regarding variability and uncertainty (i.e. safety factors) were made explicit. This involved the interpretation of the design guidelines and other assumptions made by the engineers. As a second step, a (calibrated) dynamic model of the plant was set up, able to reproduce the anticipated variability (duration and frequency). The third step was to define probability density functions for the parameters assumed to be uncertain, and propagate that uncertainty with the dynamic model by means of Monte Carlo simulations. The last step was the statistical evaluation and interpretation of the simulation results. This work should be regarded as a 'learning exercise' increasing the understanding of how and to what extent variability and uncertainty are currently incorporated in design guidelines used in practice and how model-based post-project appraisals could be performed.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
plant reliability, design guidelines, probabilistic design
journal title
WATER SCIENCE AND TECHNOLOGY
Water Sci. Technol.
volume
67
issue
8
pages
1841 - 1850
Web of Science type
Article
Web of Science id
000317588200025
JCR category
WATER RESOURCES
JCR impact factor
1.212 (2013)
JCR rank
44/81 (2013)
JCR quartile
3 (2013)
ISSN
0273-1223
DOI
10.2166/wst.2013.064
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3223579
handle
http://hdl.handle.net/1854/LU-3223579
date created
2013-05-24 11:32:14
date last changed
2016-12-19 15:46:55
@article{3223579,
  abstract     = {This paper illustrates how a dynamic model can be used to evaluate a plant upgrade on the basis of post-upgrade performance data. The case study is that of the Eindhoven wastewater treatment plant upgrade completed in 2006. As a first step, the design process based on a static model was thoroughly analyzed and the choices regarding variability and uncertainty (i.e. safety factors) were made explicit. This involved the interpretation of the design guidelines and other assumptions made by the engineers. As a second step, a (calibrated) dynamic model of the plant was set up, able to reproduce the anticipated variability (duration and frequency). The third step was to define probability density functions for the parameters assumed to be uncertain, and propagate that uncertainty with the dynamic model by means of Monte Carlo simulations. The last step was the statistical evaluation and interpretation of the simulation results. This work should be regarded as a 'learning exercise' increasing the understanding of how and to what extent variability and uncertainty are currently incorporated in design guidelines used in practice and how model-based post-project appraisals could be performed.},
  author       = {Benedetti, Lorenzo and Belia, Evangelina and Cierkens, Katrijn and Flameling, Tony and De Baets, Bernard and Nopens, Ingmar and Weijers, Stefan},
  issn         = {0273-1223},
  journal      = {WATER SCIENCE AND TECHNOLOGY},
  keyword      = {plant reliability,design guidelines,probabilistic design},
  language     = {eng},
  number       = {8},
  pages        = {1841--1850},
  title        = {The incorporation of variability and uncertainty evaluations in WWTP design by means of stochastic dynamic modeling: the case of the Eindhoven WWTP upgrade},
  url          = {http://dx.doi.org/10.2166/wst.2013.064},
  volume       = {67},
  year         = {2013},
}

Chicago
Benedetti, Lorenzo, Evangelina Belia, Katrijn Cierkens, Tony Flameling, Bernard De Baets, Ingmar Nopens, and Stefan Weijers. 2013. “The Incorporation of Variability and Uncertainty Evaluations in WWTP Design by Means of Stochastic Dynamic Modeling: The Case of the Eindhoven WWTP Upgrade.” Water Science and Technology 67 (8): 1841–1850.
APA
Benedetti, Lorenzo, Belia, E., Cierkens, K., Flameling, T., De Baets, B., Nopens, I., & Weijers, S. (2013). The incorporation of variability and uncertainty evaluations in WWTP design by means of stochastic dynamic modeling: the case of the Eindhoven WWTP upgrade. WATER SCIENCE AND TECHNOLOGY, 67(8), 1841–1850.
Vancouver
1.
Benedetti L, Belia E, Cierkens K, Flameling T, De Baets B, Nopens I, et al. The incorporation of variability and uncertainty evaluations in WWTP design by means of stochastic dynamic modeling: the case of the Eindhoven WWTP upgrade. WATER SCIENCE AND TECHNOLOGY. 2013;67(8):1841–50.
MLA
Benedetti, Lorenzo, Evangelina Belia, Katrijn Cierkens, et al. “The Incorporation of Variability and Uncertainty Evaluations in WWTP Design by Means of Stochastic Dynamic Modeling: The Case of the Eindhoven WWTP Upgrade.” WATER SCIENCE AND TECHNOLOGY 67.8 (2013): 1841–1850. Print.