Optimizing re-chlorination injection points for water supply networks using harmony search algorithm

Do Guen Yoo, Sang Myoung Lee, Ho Min Lee, Young Hwan Choi, Joong Hoon Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number547
JournalWater (Switzerland)
Volume10
Issue number5
DOIs
Publication statusPublished - 2018 Apr 25

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Keywords

  • Harmony search algorithm
  • Optimization
  • Re-chlorination injection
  • Water quality simulation

ASJC Scopus subject areas

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology

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