Disinfection by uv radiation for wastewater reuse: optimisation and control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22320%2F17%3A43914443" target="_blank" >RIV/60461373:22320/17:43914443 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Disinfection by uv radiation for wastewater reuse: optimisation and control

Popis výsledku v původním jazyce

With the raised awareness of toxic disinfection by-products (DBPs) released when chlorine-based compounds are used to disinfect water, the interest in finding safe disinfection methods has increased, especially when talking about wastewater reuse. UV radiation is a reliable and safe disinfection method, but the quality of wastewater greatly affects its performance and monitoring systems provided by manufacturers are often not robust enough. Another reliable alternative is represented by peracetic acid (PAA), an emerging disinfectant that has proven to be effective and is not quoted for producing toxic DBPs. In this paper we explain our work towards creating a model for the optimisation and control of an existing UV disinfection process. This paper presents the first step in the model development; it aims at describing a multi-physical system in which hydrodynamics, UV radiation and chemical reactions are interacting at the same time, by means of advanced modelling techniques based on machine learning (i.e., Artificial Neural Networks). The final model will include the activation of additional PAA dosage when provisionally needed to comply with the target disinfection levels.

Název v anglickém jazyce

Disinfection by uv radiation for wastewater reuse: optimisation and control

Popis výsledku anglicky

With the raised awareness of toxic disinfection by-products (DBPs) released when chlorine-based compounds are used to disinfect water, the interest in finding safe disinfection methods has increased, especially when talking about wastewater reuse. UV radiation is a reliable and safe disinfection method, but the quality of wastewater greatly affects its performance and monitoring systems provided by manufacturers are often not robust enough. Another reliable alternative is represented by peracetic acid (PAA), an emerging disinfectant that has proven to be effective and is not quoted for producing toxic DBPs. In this paper we explain our work towards creating a model for the optimisation and control of an existing UV disinfection process. This paper presents the first step in the model development; it aims at describing a multi-physical system in which hydrodynamics, UV radiation and chemical reactions are interacting at the same time, by means of advanced modelling techniques based on machine learning (i.e., Artificial Neural Networks). The final model will include the activation of additional PAA dosage when provisionally needed to comply with the target disinfection levels.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

12. bienální konference Voda 2017, Sborník přednášek a posterových sdělení

ISBN

978-80-263-1322-9

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

223-226

Název nakladatele

Asociace pro vodu ČR

Místo vydání

Brno

Místo konání akce

Poděbrady

Datum konání akce

20. 9. 2017

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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