Grey-box dynamic model of a drinking water treatment plant
Fecha
Autores
Korotaj, Blaž
Novak, Hrvoje
Vašak, Mario
Directores
Unidades organizativas
Handle
https://riunet.upv.es/handle/10251/206063
Cita bibliográfica
Korotaj, B.; Novak, H.; Vašak, M. (2024). Grey-box dynamic model of a drinking water treatment plant. Editorial Universitat Politècnica de València. https://doi.org/10.4995/WDSA-CCWI2022.2022.14789
Titulación
Resumen
[EN] In the paper a concept of a general reaction volume in a drinking water treatment plant (DWTP) is introduced, where several such volumes need to be stacked in series with corresponding input chemicals used in them to finally represent the entire plant. A general case in which a reaction volume is not fixed is elaborated. The overall derived plant model is of a grey-box form with a small number of tunable parameters, which is beneficial for adaptation to a particular DWTP based on its laboratory and on-line measured data. The developed mathematical models of reaction volumes are stacked and inputs in different volumes selected such that they represent a concrete DWTP for which a decision-support system is being developed. A preliminary validation is performed against laboratory-determined plant input-output data.
Palabras clave
DWTP, Reaction volume, Fast reactions, Dynamical model
ISSN
ISBN
9788490489826
Fuente
2nd International Join Conference on Water Distribution System Analysis (WDSA) & Computing and Control in the Water Industry (CCWI)
DOI
10.4995/WDSA-CCWI2022.2022.14789
Editorial
Editorial Universitat Politècnica de València
Versión del editor
http://ocs.editorial.upv.es/index.php/WDSA-CCWI/WDSA-CCWI2022/paper/view/14789
dc.description.uri
Código de Proyecto
Patrocinadores
Agradecimientos
This work was supported by the European Union via Horizon 2020 programme through the
project Resilient Water Innovation for Smart Economy (REWAISE, Grant agreement ID: 869496).
The work has also been supported by the Croatian Science Foundation through the Young
Researchers' Career Development Project - Training New Doctoral Students under contract No.
DOK-2020-01-4118.