Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm
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 s...
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| Format: | Article |
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MDPI AG
2018-04-01
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| Series: | Water |
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| Online Access: | http://www.mdpi.com/2073-4441/10/5/547 |
| _version_ | 1811194374479937536 |
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| author | Do Guen Yoo Sang Myoung Lee Ho Min Lee Young Hwan Choi Joong Hoon Kim |
| author_facet | Do Guen Yoo Sang Myoung Lee Ho Min Lee Young Hwan Choi Joong Hoon Kim |
| author_sort | Do Guen Yoo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T00:24:57Z |
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| id | doaj.art-d2dcf1c0335f4efa82dde6a1845bb030 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-12T00:24:57Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-d2dcf1c0335f4efa82dde6a1845bb0302022-12-22T03:55:34ZengMDPI AGWater2073-44412018-04-0110554710.3390/w10050547w10050547Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search AlgorithmDo Guen Yoo0Sang Myoung Lee1Ho Min Lee2Young Hwan Choi3Joong Hoon Kim4Department of Civil Engineering, The University of Suwon, Gyeonggi-do 18323, KoreaK-Water, 200, Sintanjin-ro, Daedeok-gu, Daegeon 34350, KoreaResearch Center for Disaster Prevention Science and Technology, Korea University, Seoul 02841, KoreaDepartment of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, KoreaSchool of Civil, Environmental and Architectural Engineering, Korea University, Anam-ro 145, Seongbuk-gu, Seoul 02841, KoreaIn 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.http://www.mdpi.com/2073-4441/10/5/547water quality simulationre-chlorination injectionharmony search algorithmoptimization |
| spellingShingle | Do Guen Yoo Sang Myoung Lee Ho Min Lee Young Hwan Choi Joong Hoon Kim Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm Water water quality simulation re-chlorination injection harmony search algorithm optimization |
| title | Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm |
| title_full | Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm |
| title_fullStr | Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm |
| title_full_unstemmed | Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm |
| title_short | Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm |
| title_sort | optimizing re chlorination injection points for water supply networks using harmony search algorithm |
| topic | water quality simulation re-chlorination injection harmony search algorithm optimization |
| url | http://www.mdpi.com/2073-4441/10/5/547 |
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