Numerical and experimental studies of water disinfection in UV reactors.


Journal

Water science and technology : a journal of the International Association on Water Pollution Research
ISSN: 0273-1223
Titre abrégé: Water Sci Technol
Pays: England
ID NLM: 9879497

Informations de publication

Date de publication:
Oct 2019
Historique:
entrez: 22 1 2020
pubmed: 22 1 2020
medline: 24 1 2020
Statut: ppublish

Résumé

Performance of UV reactors for water disinfection is investigated in this paper. Both experimental and numerical studies are performed on base reactor LP24. Enterobacteria phage MS2 is chosen as the challenge microorganism in the experiments. Experiments are conducted to evaluate the effect of different parameters, i.e. flow rate and UV transmission, on the reactor performance. Simulation is carried out based on the commercial software ANSYS FLUENT with user defined functions (UDFs) implemented. The UDF is programmed to calculate UV dose absorbed by different microorganisms along their flow trajectories. The effect with boundary layer mesh and without boundary layer mesh for LP24 is studied. The results show that the inclusion of boundary layer mesh does not have much effect on the reactor performance in terms of reduction equivalent dose (RED). The numerical results agree well with the experimental measurements, hence validating the numerical model. With this achieved, the numerical model is applied to study other scaled reactors: LP12, LP40, LP60 and LP80. Comparisons show that LP40 has the highest RED and log inactivation among all the reactors while LP80 has the lowest RED and log inactivation.

Identifiants

pubmed: 31961808
doi: 10.2166/wst.2019.394
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1456-1465

Auteurs

H Y Li (HY)

Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, 16-16 Connexis, Singapore 138632, Singapore E-mail: lih@ihpc.a-star.edu.sg.

H Osman (H)

Research & Development, Sembcorp Marine Ltd, 80 Tuas South Boulevard, Singapore 637051, Singapore.

C W Kang (CW)

Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, 16-16 Connexis, Singapore 138632, Singapore E-mail: lih@ihpc.a-star.edu.sg.

T Ba (T)

Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, 16-16 Connexis, Singapore 138632, Singapore E-mail: lih@ihpc.a-star.edu.sg.

J Lou (J)

Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, 16-16 Connexis, Singapore 138632, Singapore E-mail: lih@ihpc.a-star.edu.sg.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software
Animals Dietary Fiber Dextran Sulfate Mice Disease Models, Animal
Cephalometry Humans Anatomic Landmarks Software Internet

Classifications MeSH