Abstract
A concentrated 10% chlorine solution (in sodium hypochlorite) with a specific gravity of 1.2 is used for the disinfection of treated primary effluent in the Stonecutters Island Sewage Treatment Works (SCISTW) in Hong Kong. The chlorine solution is injected in the form of coflowing dense jets into a sewage flow of approximately , with a target dosing rate of (or an initial dilution of 5,000 to 10,000). The large sewage flow to chlorine dosing flow ratio has resulted in insufficient mixing and high chlorine demand as a result of the fast reaction of chlorine with organic and inorganic substances in the sewage. An integral jet model is developed to predict the jet mixing in the initial contact region of chlorine and sewage, accounting for chemical kinetics of the chlorine–sewage reaction. The model is calibrated using field data obtained from experiments using real sewage and chlorine solution in a field-scale physical model inside the sewage treatment works. The mathematical model is used to guide experimentation of various alternatives to reduce the chlorine demand. It is found that under the same chlorine dosage, diluting the concentrated chlorine solution by four times (i.e., containing 2.5% available chlorine) and doubling the number of injection jets can result in the reduction of chlorine demand by 10–15%. The chlorine dosage optimization was supported by extensive field measurements and three-dimensional (3D) computational fluid dynamics (CFD) simulations.
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Acknowledgments
This research was commissioned by the Drainage Services Department (DSD) of the Hong Kong Special Administrative Region (HKSAR) Government (Contracts HATS 02/2014 and HATS 03/2014). The support and assistance of DSD engineers and on-site staff at SCISTW are well-appreciated. The assistance of Daniel Tsang in the field work and laboratory analysis is gratefully acknowledged.
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Published In
Journal of Environmental Engineering
Volume 143 • Issue 11 • November 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Feb 13, 2017
Accepted: May 18, 2017
Published online: Sep 6, 2017
Published in print: Nov 1, 2017
Discussion open until: Feb 6, 2018
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