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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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https://www.sciencedirect.com/science/article/pii/S1944398626003826
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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
UDC:
681.5
ISSN on article:
1944-3994
DOI:
10.1016/j.dwt.2026.102008
COBISS.SI-ID:
304446979
Publication date in RUL:
09.11.2026
Views:
43
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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
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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