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On-line estimation and detection of abnormal substrate concentrations in WWTPs using a software sensor: A benchmark study

Benazzi, F; Gernaey, K V; Jeppsson, Ulf LU and Katebi, R (2007) In Environmental Technology 28(8). p.871-882
Abstract
In this paper, a new approach for on-line monitoring and detection of abnormal readily biodegradable substrate (SS) and slowly biodegradable substrate (XS) concentrations, for example due to input of toxic loads from the sewer, or due to influent substrate shock load, is proposed. Considering that measurements of SS and XS concentrations are not available in real wastewater treatment plants, the SS | XS software sensor can activate an alarm with a response time of about 60 and 90 minutes, respectively, based on the dissolved oxygen measurement. The software sensor implementation is based on an extended Kalman filter observer and disturbances are modelled using fast Fourier transform and spectrum analyses. Three case studies are described.... (More)
In this paper, a new approach for on-line monitoring and detection of abnormal readily biodegradable substrate (SS) and slowly biodegradable substrate (XS) concentrations, for example due to input of toxic loads from the sewer, or due to influent substrate shock load, is proposed. Considering that measurements of SS and XS concentrations are not available in real wastewater treatment plants, the SS | XS software sensor can activate an alarm with a response time of about 60 and 90 minutes, respectively, based on the dissolved oxygen measurement. The software sensor implementation is based on an extended Kalman filter observer and disturbances are modelled using fast Fourier transform and spectrum analyses. Three case studies are described. The first one illustrates the fast and accurate convergence of the extended Kalman filter algorithm, which is achieved in less than 2 hours. Furthermore, the difficulties of estimating XS when off-line analysis is not available are depicted, and the SS | XS software sensor performances when no measurements of SS and XS are available are illustrated. Estimation problems related to the death-regeneration concept of the activated sludge model no.1 and possible application of the software sensor in wastewater monitoring are discussed. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
EXTENDED KALMAN FILTER, WASTEWATER TREATMENT, BENCHMARK, OBSERVER, TOXICITY DETECTION
in
Environmental Technology
volume
28
issue
8
pages
871 - 882
publisher
Selper Ltd
external identifiers
  • wos:000248737200005
  • scopus:34547972811
ISSN
1479-487X
language
English
LU publication?
yes
id
a01e89ae-69b1-4409-98b5-e162c8f4ef04 (old id 641388)
alternative location
http://www.ingentaconnect.com/content/selp/envt/2007/00000028/00000008/art00005
date added to LUP
2007-12-02 09:47:38
date last changed
2017-07-30 03:31:05
@article{a01e89ae-69b1-4409-98b5-e162c8f4ef04,
  abstract     = {In this paper, a new approach for on-line monitoring and detection of abnormal readily biodegradable substrate (SS) and slowly biodegradable substrate (XS) concentrations, for example due to input of toxic loads from the sewer, or due to influent substrate shock load, is proposed. Considering that measurements of SS and XS concentrations are not available in real wastewater treatment plants, the SS | XS software sensor can activate an alarm with a response time of about 60 and 90 minutes, respectively, based on the dissolved oxygen measurement. The software sensor implementation is based on an extended Kalman filter observer and disturbances are modelled using fast Fourier transform and spectrum analyses. Three case studies are described. The first one illustrates the fast and accurate convergence of the extended Kalman filter algorithm, which is achieved in less than 2 hours. Furthermore, the difficulties of estimating XS when off-line analysis is not available are depicted, and the SS | XS software sensor performances when no measurements of SS and XS are available are illustrated. Estimation problems related to the death-regeneration concept of the activated sludge model no.1 and possible application of the software sensor in wastewater monitoring are discussed.},
  author       = {Benazzi, F and Gernaey, K V and Jeppsson, Ulf and Katebi, R},
  issn         = {1479-487X},
  keyword      = {EXTENDED KALMAN FILTER,WASTEWATER TREATMENT,BENCHMARK,OBSERVER,TOXICITY DETECTION},
  language     = {eng},
  number       = {8},
  pages        = {871--882},
  publisher    = {Selper Ltd},
  series       = {Environmental Technology},
  title        = {On-line estimation and detection of abnormal substrate concentrations in WWTPs using a software sensor: A benchmark study},
  volume       = {28},
  year         = {2007},
}