Prediction of chlorine concentration of flows exiting pipe in cross junctions: experimental and numerical study

Author:

Mompremier Rojacques1ORCID,Ramírez-Muñoz Jorge1,Ghebremichael Kebreab2,Nuñez Jersain Gómez1,Fuentes Mariles Óscar Arturo3,Guadarrama-Pérez Román4

Affiliation:

1. a Departamento de Energía, Universidad Autónoma Metropolitana, Unidad Azcapotzalco, Av. San Pablo Xalpa 180, Reynosa Tamaulipas 02200, Ciudad de México, México

2. b Patel College of Global Sustainability, University of South Florida, 4202 E Fowler Ave, Tampa, FL 33620, United States

3. c Instituto de Ingeniería UNAM, Circuito Escolar, Ingeniería S/N, C.U., Coyoacán, 04510, Ciudad de México (CDMX), México

4. d Posgrado en Ciencias Naturales e Ingeniería, División de Ciencias Naturales Ingeniería, Universidad Autónoma Metropolitana-Cuajimalpa, Av. Vasco de Quiroga 4871, Mexico City, Mexico

Abstract

Abstract This paper aims to develop and validate an analytical equation to predict the concentration of residual chlorine exiting a typical pipe junction. In order to investigate the trend of the incoming flow rates before leaving the junction, experiments with inflow rates (North and West) ranging from 0.18 to 2.17 L/s, Reynolds numbers ranging from 14,324 to 110,780, and free chlorine concentrations ranging from 0.5 to 1.80 mg/L were performed. The results showed that flows tend to bifurcate rather than mix completely, and the bifurcation and mixing depend mainly on the relative flow rates entering the cross junction. Based on the experimental results, a dimensionless concentration (R) was estimated, allowing for predicting chlorine at the East outlet. Then, a solute mass balance was also performed within the cross junction to predict chlorine concentration at the South outlet. Finally, an adjustment of the R-value was performed by using 3D computational fluid dynamics (CFD), and the analytical equations were also validated with simulations. The standard k–ε turbulence model with enhanced wall treatment for modeling turbulence and near-wall effects, respectively, were used. More mixing models will improve water quality simulations to ensure proper control of chlorine and possible contaminants in water distribution systems.

Publisher

IWA Publishing

Subject

Water Science and Technology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Booster Disinfection Scheduling Using Incomplete Mixing Water Quality Model (EPANET-IMX);World Environmental and Water Resources Congress 2024;2024-05-16

2. Simulation Study of Corridor-Type Partitioned Mixer with Improved Design;Smart Technologies in Urban Engineering;2023

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