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Risk assessment mod...
Risk assessment modelling of microbiology-related solids separation problems in activated sludge systems
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Comas, J. (författare)
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Rodriguez-Roda, I. (författare)
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Gernaey, K. V. (författare)
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- Rosén, Christian (författare)
- Lund University,Lunds universitet,Industriell elektroteknik och automation,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Industrial Electrical Engineering and Automation,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
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- Jeppsson, Ulf (författare)
- Lund University,Lunds universitet,Industriell elektroteknik och automation,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Industrial Electrical Engineering and Automation,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
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Poch, M. (författare)
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(creator_code:org_t)
- Elsevier BV, 2008
- 2008
- Engelska.
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Ingår i: Environmental Modelling & Software. - : Elsevier BV. - 1364-8152. ; 23:10-11, s. 1250-1261
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- qualitative knowledge
- modelling
- sludge
- rising
- foaming
- filamentous bulking
- risk assessment
- activated sludge
- benchmark simulation
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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