Journal article
CFD design approach for chlorine disinfection processes
Journal - American Water Works Association, v 96(8), pp 138-150
2004
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Current approaches for chlorine disinfection process design involve application of a C x T (concentration x time) concept or the integrated disinfection design framework (IDDF) (Bellamy et al, 1998). This study presents a new design approach for chlorine disinfection that uses computational fluid dynamics (CFD). CFD models were developed to predict flow structure, mass transport, chlorine decay, and microbial inactivation in a continuous-flow reactor and associated piping. Past CFD models for chlorine disinfection have only predicted chlorine contactor flow structure and residence time distribution (Crozes et al, 1999; Wang & Falconer, 1998; Hannoun & Boulos, 1997; Stambolieva et al, 1993). The model described here incorporates experimentally derived terms for chlorine decay (free and combined) and microbial inactivation (Escherichia coli, MS2 bacteriophage, and Giardia muris) based on the work of Haas et al (1995). CFD predictions were in good agreement with the experimental data set over a wide range of microbial inactivation rates.
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Details
- Title
- CFD design approach for chlorine disinfection processes
- Creators
- Dennis J Greene - Carollo Engineers, 12592 W. Explorer Drive, Boise, ID 83713, United StatesBakhtier Farouk - Drexel UniversityCharles N Haas - Drexel University
- Publication Details
- Journal - American Water Works Association, v 96(8), pp 138-150
- Publisher
- American Water Works Association
- Number of pages
- 13
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000223604200024
- Scopus ID
- 2-s2.0-19444385231
- Other Identifier
- 991019189043504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Water Resources