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Open AccessFeature PaperArticle

Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm

1
Department of Civil Engineering, The University of Suwon, Gyeonggi-do 18323, Korea
2
K-Water, 200, Sintanjin-ro, Daedeok-gu, Daegeon 34350, Korea
3
Research Center for Disaster Prevention Science and Technology, Korea University, Seoul 02841, Korea
4
Department of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea
5
School of Civil, Environmental and Architectural Engineering, Korea University, Anam-ro 145, Seongbuk-gu, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Water 2018, 10(5), 547; https://doi.org/10.3390/w10050547
Received: 16 March 2018 / Revised: 16 April 2018 / Accepted: 23 April 2018 / Published: 25 April 2018
(This article belongs to the Special Issue Water Networks Management: New Perspectives)
In order to achieve the required residual chlorine concentration at the end of a water network, the installation of a re-chlorination facility for a high-quality water supply system is necessary. In this study, the optimal re-chlorination facility locations and doses were determined for real water supply systems, which require maintenance in ord3r to ensure proper residual chlorine concentrations at the pipeline under the present and future conditions. The harmony search algorithm (HSA), which is a meta-heuristic optimization technique, was used for the optimization model. This method was applied to two water supply systems in South Korea and was verified through case studies using different numbers of re-chlorination points. The results show that the proposed model can be used as an efficient water quality analysis and decision making tool, which showed the optimal re-chlorination dose and little deviation in the spatial distribution. In addition, the HSA results are superior to those of the genetic algorithm (GA) in terms of the total injection mass with the same number of evaluations. View Full-Text
Keywords: water quality simulation; re-chlorination injection; harmony search algorithm; optimization water quality simulation; re-chlorination injection; harmony search algorithm; optimization
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Yoo, D.G.; Lee, S.M.; Lee, H.M.; Choi, Y.H.; Kim, J.H. Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm. Water 2018, 10, 547.

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