Metaheuristic Optimization of Surge Protection Device in an Urban Water Distribution Network

This study investigates the optimal placement of a surge tank to mitigate pressure fluctuations induced by water hammer in a complex, real-world water distribution network (WDN). A transient-flow numerical model was developed using the Method of Characteristics (MOC) integrated with surge tank theory, applied to a simplified and skeletonized representation of the target network. To determine the most effective installation site, Particle Swarm Optimization (PSO) was employed across 32 candidate nodes. Transient events were simulated through valve closure and reopening operations at the terminal nodes of the network. The results indicate that Node 41 is the optimal location for minimizing head fluctuations. Specifically, the maximum head fluctuation was reduced from 64.32 m in the unprotected system to 51.79 m with the surge tank at Node 41, representing a 19.48% improvement in hydraulic stability. These findings emphasize the critical role of strategic surge tank positioning and provide a robust technical framework for the design and operation of surge protection systems in complex WDNs.

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Publication Details

Journal
Infrastructures
Published
2026-06-30
DOI
https://doi.org/10.3390/infrastructures11070225
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

Metaheuristic Optimization of Surge Protection Device in an Urban Water Distribution Network

Dongwon Ko, Sanghyun Kim, Hyunjun Kim, BongSeog Jung et al.
Infrastructures
Water Systems and Optimization
article

Metaheuristic Optimization of Surge Protection Device in an Urban Water Distribution Network

Dongwon Ko, Sanghyun Kim, Hyunjun Kim, BongSeog Jung, Jeongseop Lee, Yeun Choi, Dahong Kim, Minsung Kim
article en

Abstract

This study investigates the optimal placement of a surge tank to mitigate pressure fluctuations induced by water hammer in a complex, real-world water distribution network (WDN). A transient-flow numerical model was developed using the Method of Characteristics (MOC) integrated with surge tank theory, applied to a simplified and skeletonized representation of the target network. To determine the most effective installation site, Particle Swarm Optimization (PSO) was employed across 32 candidate nodes. Transient events were simulated through valve closure and reopening operations at the terminal nodes of the network. The results indicate that Node 41 is the optimal location for minimizing head fluctuations. Specifically, the maximum head fluctuation was reduced from 64.32 m in the unprotected system to 51.79 m with the surge tank at Node 41, representing a 19.48% improvement in hydraulic stability. These findings emphasize the critical role of strategic surge tank positioning and provide a robust technical framework for the design and operation of surge protection systems in complex WDNs.

InfrastructuresVol. 11(7)
Pusan National University (KR)
Clean water and sanitation
Openalex Percentile: Top 12%
Water Systems and Optimization
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