Innovations in Wastewater Treatment – Harnessing Mathematical Modeling and Computer Simulations with Cutting-Edge Technologies and Advanced Control Systems

• Autorzy: Drewnowski Jakub , Szeląg Bartosz , Sabba Fabrizio , Piłat-Rożek Magdalena , Piotrowicz Adam , Łagód Grzegorz

Identyfikatory

DOI

10.12911/22998993/173076

• Języki publikacji: EN

Abstrakty

EN

The wastewater treatment landscape in Central Europe, particularly in Poland, has undergone a profound transformation due to European Union (EU) integration. Fueled by EU funding and rapid technological advancements, wastewater treatment plants (WWTPs) have adopted cutting-edge control methods to adhere to EU Water Framework Directive mandates. WWTPs contend with complexities such as variable flow rates, temperature fluctuations, and evolving influent compositions, necessitating advanced control systems and precise sensors to ensure water quality, enhance energy efficiency, and reduce operational costs. Wastewater mathematical modeling provides operational flexibility, acting as a virtual testing ground for process enhancements and resource optimization. Real-time sensors play a crucial role in creating these models by continuously monitoring key parameters and supplying data to predictive models. These models empower real-time decision-making, resulting in minimized downtime and reduced expenses, thus promoting the sustainability and efficiency of WWTPs while aligning with resource recovery and environmental stewardship goals. The evolution of WWTPs in Central Europe is driven by a range of factors. To optimize WWTPs, a multi-criteria approach is presented, integrating simulation models with data mining methods, while taking into account parameter interactions. This approach strikes a balance between the volume of data collected and the complexity of statistical analysis, employing machine learning techniques to cut costs for process optimization. The future of WWTP control systems lies in “smart process control systems”, which revolve around simulation models driven by real-time data, ultimately leading to optimal biochemical processes. In conclusion, Central Europe’s wastewater treatment sector has wholeheartedly embraced advanced control methods and mathematical modeling to comply with EU regulations and advance sustainability objectives. Real-time monitoring and sophisticated modeling are instrumental in driving efficient, resource-conscious operations. Challenges remain in terms of data accessibility and cost-effective online monitoring, especially for smaller WWTPs.

Słowa kluczowe

EN

wastewater treatment; mathematical modelling; data mining; artificial intelligence; multi-criteria approach; control strategy

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2023
• Tom: Vol. 24, nr 12
• Strony: 208--222
• Opis fizyczny: Bibliogr. 100 poz., rys.

Twórcy

autor

Drewnowski Jakub

• Department of Sanitary Engineering, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland

• https://orcid.org/0000-0003-1424-0403

autor

Szeląg Bartosz

• Department of Hydraulics and Sanitary Engineering, Institute of Environmental Engineering, Warsaw University of Life Sciences – SGGW, ul. Nowoursynowska 159, 02-797 Warsaw, Poland

• https://orcid.org/0000-0002-0559-5475

autor

Sabba Fabrizio

• Black & Veatch, 11401 Lamar Ave, Overland Park, KS 66211, USA

autor

Piłat-Rożek Magdalena

• Department of Applied Mathematics, Faculty of Mathematics and Information Technology, Lublin University of Technology, ul. Nadbystrzycka 38, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-6531-6562

autor

Piotrowicz Adam

• Department of Environmental Protection Engineering, Faculty of Environmental Engineering, Lublin University of Technology, ul. Nadbystrzycka 40B, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-1442-4176

autor

Łagód Grzegorz

• Department of Water Supply and Wastewater Disposal, Faculty of Environmental Engineering, Lublin University of Technology, ul. Nadbystrzycka 40B, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-0621-7222

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).