Dynamic plant-wide optimization of wastewater treatment plant performance using neuro-fuzzy models and predictive control

Karer, Gorazd (avtor), Vrečko, Darko (avtor), Hvala, Nadja (avtor), Škrjanc, Igor (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: multi-objective optimization, long-term control evaluation, neuro-fuzzy modeling, model predictive control, wastewater treatment operation
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2026
• Št. strani: 14 str.
• Številčenje: Vol. 328, art. 102008
• PID: 20.500.12556/RUL-190966
• UDK: 681.5
• ISSN pri članku: 1944-3994
• DOI: 10.1016/j.dwt.2026.102008
• COBISS.SI-ID: 304446979
• Datum objave v RUL: 09.11.2026

Gradivo je del revije

• Naslov: Desalination and water treatment
• Skrajšan naslov: Desalination water treat.
• Založnik: Balaban Publishers
• ISSN: 1944-3994
• COBISS.SI-ID: 14437398

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: večkriterijska optimizacija, dolgoročno ovrednotenje vodenja, nevro-mehko modeliranje, prediktivno vodenje, upravljanje z odpadno vodo

Projekti

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: P2-0219
• Naslov: Modeliranje, simulacija in vodenje procesov

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: L2-3166
• Naslov: Nadzorni sistem vodenja za celostno optimizacijo delovanja čistilnih naprav za čiščenje odpadnih voda