Mixing Optimisation in Wider Contexts

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00376611" target="_blank" >RIV/68407700:21110/24:00376611 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Mixing Optimisation in Wider Contexts
Original language description
This article explores the optimization of mixing processes in water and wastewater treatment using innovative technologies such as Computational Fluid Dynamics (CFD), Machine Learning (ML), and Digital Twin (DT) systems. These technologies address challenges related to sustainability, resource recovery, and operational efficiency. By focusing on key processes like coagulation, flocculation, and high-rate activated sludge treatment, we demonstrate the importance of precise hydrodynamic modeling. Integrating these advanced technologies can significantly enhance treatment performance, contributing to more sustainable and efficient water management practices. This paper discusses transformative trends, challenges, and potential solutions, emphasizing the role of interdisciplinary collaborations and advanced simulation techniques in modern water treatment systems.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Sborník příspěvků odborné konference SVK STOKA 2024
ISBN
978-80-01-07313-1
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
37-44
Publisher name
katedra vodního hospodářství obcí
Place of publication
Praha
Event location
Mariánská
Event date
Jun 24, 2024
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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