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Risk assessment modelling of microbiology-related solids separation problems in activated sludge systems

Comas, J.; Rodriguez-Roda, I.; Gernaey, K. V.; Rosén, Christian LU ; Jeppsson, Ulf LU and Poch, M. (2008) In Environmental Modelling & Software 23(10-11). p.1250-1261
Abstract
This paper proposes a risk assessment model for settling problems of microbiological origin in activated sludge systems (filamentous bulking, foaming and rising sludge). The aim of the model is not to diagnose microbiology-related solids separation problems with absolute certainty but to quantify in dynamic scenarios whether simulated operational procedures and control strategies lead to favourable conditions for them to arise or not. The rationale behind the model (which integrates the mechanisms of standard activated sludge models with empirical knowledge), its implementation in a fuzzy rule-based system and the details of its operation are illustrated in the different sections of the paper. The performance of the risk assessment model... (More)
This paper proposes a risk assessment model for settling problems of microbiological origin in activated sludge systems (filamentous bulking, foaming and rising sludge). The aim of the model is not to diagnose microbiology-related solids separation problems with absolute certainty but to quantify in dynamic scenarios whether simulated operational procedures and control strategies lead to favourable conditions for them to arise or not. The rationale behind the model (which integrates the mechanisms of standard activated sludge models with empirical knowledge), its implementation in a fuzzy rule-based system and the details of its operation are illustrated in the different sections of the paper. The performance of the risk assessment model is illustrated by evaluating a number of control strategies facing different short-term influent conditions as well as long-term variability using the IWA/COST simulation benchmark. The results demonstrate that some control strategies, although performing better regarding operating costs and effluent quality, induce a higher risk for solids separation problems. In view of these results, it is suggested to integrate empirical knowledge into mechanistic models to increase reliability and to allow assessment of potential side-effects when simulating complex processes. (c) 2008 Elsevier Ltd. All rights reserved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
qualitative knowledge, modelling, sludge, rising, foaming, filamentous bulking, risk assessment, activated sludge, benchmark simulation
in
Environmental Modelling & Software
volume
23
issue
10-11
pages
1250 - 1261
publisher
Elsevier
external identifiers
  • wos:000257620800004
  • scopus:44749085843
ISSN
1364-8152
DOI
10.1016/j.envsoft.2008.02.013
language
English
LU publication?
yes
id
af876988-1981-49e0-b067-9b462807969a (old id 1254999)
date added to LUP
2008-10-17 14:48:00
date last changed
2017-10-01 03:58:18
@article{af876988-1981-49e0-b067-9b462807969a,
  abstract     = {This paper proposes a risk assessment model for settling problems of microbiological origin in activated sludge systems (filamentous bulking, foaming and rising sludge). The aim of the model is not to diagnose microbiology-related solids separation problems with absolute certainty but to quantify in dynamic scenarios whether simulated operational procedures and control strategies lead to favourable conditions for them to arise or not. The rationale behind the model (which integrates the mechanisms of standard activated sludge models with empirical knowledge), its implementation in a fuzzy rule-based system and the details of its operation are illustrated in the different sections of the paper. The performance of the risk assessment model is illustrated by evaluating a number of control strategies facing different short-term influent conditions as well as long-term variability using the IWA/COST simulation benchmark. The results demonstrate that some control strategies, although performing better regarding operating costs and effluent quality, induce a higher risk for solids separation problems. In view of these results, it is suggested to integrate empirical knowledge into mechanistic models to increase reliability and to allow assessment of potential side-effects when simulating complex processes. (c) 2008 Elsevier Ltd. All rights reserved.},
  author       = {Comas, J. and Rodriguez-Roda, I. and Gernaey, K. V. and Rosén, Christian and Jeppsson, Ulf and Poch, M.},
  issn         = {1364-8152},
  keyword      = {qualitative knowledge,modelling,sludge,rising,foaming,filamentous bulking,risk assessment,activated sludge,benchmark simulation},
  language     = {eng},
  number       = {10-11},
  pages        = {1250--1261},
  publisher    = {Elsevier},
  series       = {Environmental Modelling & Software},
  title        = {Risk assessment modelling of microbiology-related solids separation problems in activated sludge systems},
  url          = {http://dx.doi.org/10.1016/j.envsoft.2008.02.013},
  volume       = {23},
  year         = {2008},
}