Angeloudis, Athanasios ![]() ![]() ![]() |
Abstract
In this study three-dimensional computational fluid dynamics (CFD) models, incorporating appropriately selected kinetic models, were developed to simulate the processes of chlorine decay, pathogen inactivation and the formation of potentially carcinogenic by-products in disinfection contact tanks (CTs). Currently, the performance of CT facilities largely relies on Hydraulic Efficiency Indicators (HEIs), extracted from experimentally derived Residence Time Distribution (RTD) curves. This approach has more recently been aided with the application of CFD models, which can be calibrated to predict accurately RTDs, enabling the assessment of disinfection facilities prior to their construction. However, as long as it depends on HEIs, the CT design process does not directly take into consideration the disinfection biochemistry which needs to be optimized. The main objective of this study is to address this issue by refining the modelling practices to simulate some reactive processes of interest, while acknowledging the uneven contact time stemming from the RTD curves. Initially, the hydraulic performances of seven CT design variations were reviewed through available experimental and computational data. In turn, the same design configurations were tested using numerical modelling techniques, featuring kinetic models that enable the quantification of disinfection operational parameters. Results highlight that the optimization of the hydrodynamic conditions facilitates a more uniform disinfectant contact time, which correspond to greater levels of pathogen inactivation and a more controlled by-product accumulation.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Advanced Research Computing @ Cardiff (ARCCA) Engineering |
Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering |
Uncontrolled Keywords: | Disinfection Tanks; RANS Modeling; Disinfection by-products; Pathogen Inactivation; Residence Time Distribution |
Additional Information: | Online publication date: 2 May 2014. |
Publisher: | Elsevier / IWA Publishing |
ISSN: | 0043-1354 |
Date of Acceptance: | 21 April 2014 |
Last Modified: | 25 Oct 2022 09:38 |
URI: | https://orca.cardiff.ac.uk/id/eprint/59453 |
Citation Data
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