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Dynamic plant-wide optimization of wastewater treatment plant performance using neuro-fuzzy models and predictive control
ID Karer, Gorazd (Author), ID Vrečko, Darko (Author), ID Hvala, Nadja (Author), ID Škrjanc, Igor (Author)

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Abstract
Wastewater treatment plants (WWTPs) are complex facilities that must be operated efficiently from both environmental and economic perspectives. They need to balance a range of often conflicting performance objectives, necessitating a plant-wide approach and multi-objective optimization. This paper presents an approach for dynamic plant-wide optimization of the effluent quality index (EQI) and operational cost index (OCI) by employing reduced neuro-fuzzy models to represent performance indices, combined with simplified predictive control. The approach is validated through a one-year simulation using the plant-wide benchmark simulation model no. 2 (BSM2PSFe) and by dynamically optimizing the dissolved oxygen (DO) concentration set-point in an aerobic reactor. The Pareto front of optimal solutions is analyzed, and the individual indices are integrated into a single objective function by adjusting the weights of the criteria. The results show that the proposed optimization approach provides a better trade-off between the EQI and OCI indices than constant DO set-point values. Compared to the DO set-point of 1.5 g/m3 , the presented optimization case improves EQI for 2.64% and OCI for 0.87%. The advantage of the approach, apart from plant-wide consideration, is its reliance on measurements available in practice, making it suitable for implementation in real WWTPs.

Language:English
Keywords:multi-objective optimization, long-term control evaluation, neuro-fuzzy modeling, model predictive control, wastewater treatment operation
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:14 str.
Numbering:Vol. 328, art. 102008
PID:20.500.12556/RUL-190966 This link opens in a new window
UDC:681.5
ISSN on article:1944-3994
DOI:10.1016/j.dwt.2026.102008 This link opens in a new window
COBISS.SI-ID:304446979 This link opens in a new window
Publication date in RUL:09.11.2026
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Downloads:5
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Record is a part of a journal

Title:Desalination and water treatment
Shortened title:Desalination water treat.
Publisher:Balaban Publishers
ISSN:1944-3994
COBISS.SI-ID:14437398 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:večkriterijska optimizacija, dolgoročno ovrednotenje vodenja, nevro-mehko modeliranje, prediktivno vodenje, upravljanje z odpadno vodo

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0219
Name:Modeliranje, simulacija in vodenje procesov

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:L2-3166
Name:Nadzorni sistem vodenja za celostno optimizacijo delovanja čistilnih naprav za čiščenje odpadnih voda

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