Optimal location and scheduling of booster chlorination stations using EPANET and PSO for drinking water distribution system

Goyal, Roopali V.; Patel, H. M.

doi:10.1080/09715010.2017.1400410

Cited by 20 publications

(2 citation statements)

References 25 publications

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“…subject to 0.2 ≤ cl t n ≤ 1.0 (10) where Nnode represents the number of nodes in the network, cl t n denotes the residual chlorine concentration at node n at time t, and cl * denotes the target chlorine concentration (0.2 mg/L). A smaller MAPE value indicates a more uniform chlorine distribution within the WDN, with zero being the ideal value.…”

Section: Chlorine Injection Optimizationmentioning

confidence: 99%

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Optimization of Chlorine Injection Schedule in Water Distribution Networks Using Water Age and Breadth-First Search Algorithm

Frederick,

Marlim,

Kang

2024

Water

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Chlorine decay over time and distance travelled poses challenges in maintaining consistent chlorine levels from treatment plants to demand nodes in water distribution networks (WDNs). Many studies have focused on optimizing chlorine booster systems and addressing dosage and location. This study proposes a chlorine injection optimization model for maintaining spatial and temporal chlorine residuals within an acceptable range. First, the approach involves identifying potential pathways from the source to demand nodes using a breadth-first search (BFS) algorithm. Subsequently, the required chlorine injection to maintain a 0.2 mg/L residual chlorine level at demand nodes is estimated based on water age. Finally, a single-objective genetic algorithm optimizes the chlorine injection schedule at the source. The results demonstrated that chlorine estimation based on water age exhibited promising results with an average error below 10%. In addition, the four-interval injection scheme performed well in adapting to changing demand patterns, making the method robust to varying demand patterns. Moreover, the model could accommodate fluctuating water temperature conditions according to operating seasons. This study provides valuable insights into effectively managing chlorine levels and operations of WDNs, and paves the way for using water age for chlorine estimation.

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Section: Chlorine Injection Optimizationmentioning

confidence: 99%

“…Several studies have optimized chlorine injection in WDNs, primarily focusing on booster chlorination [5,6]. These studies examined various aspects, such as optimizing booster injection schedules [4,[7][8][9][10] and booster location [5]. Some studies explored combinations of booster scheduling and location [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Chlorine Injection Schedule in Water Distribution Networks Using Water Age and Breadth-First Search Algorithm

Frederick,

Marlim,

Kang

2024

Water

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Optimization for Booster Chlorination

Islam¹,

Rodrı́guez²

2019

Encyclopedia of Water

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Contamination in water distribution network (DN) can be catastrophic if free residual disinfection is not present. To ensure drinking water quality in a DN, ensuring detectable levels of free residual chlorine is a common practice in most municipalities. Higher chlorine doses can be applied in this respect, but this can produce detrimental disinfection by‐products (DBPs) such as trihalomethane and Haloacetic acids, and chlorine‐related taste and odor complaints. Booster chlorination can be a possible solution in this regard where additional chlorine dosages are applied where free residual chlorine concentration is less or zero. However, that requires optimization studies to balance various issues related to over chlorination including higher cost related to installation and operation, higher DBPs, and taste and odor complaints. These optimization studies can not only help us in selecting dosages but also can help us in various other aspects including locating booster stations, deciding number of stations, and pumping scheduling. Unlike other optimization studies, booster chlorination‐related optimization studies also require appropriate variables, kinetics, objective functions, constraints, mathematical formulation, algorithm selection, and proper optimization operation. This article will highlight details of all these steps specific to booster chlorination.

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Joint-Probabilistic Double-Sided Random Interval Programming for Booster Optimization in Water Distribution Network

Wang

2022

Water Resour Manage

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Optimal location and scheduling of booster chlorination stations using EPANET and PSO for drinking water distribution system

Cited by 20 publications

References 25 publications

Optimization of Chlorine Injection Schedule in Water Distribution Networks Using Water Age and Breadth-First Search Algorithm

Optimization of Chlorine Injection Schedule in Water Distribution Networks Using Water Age and Breadth-First Search Algorithm

Optimization for Booster Chlorination

Joint-Probabilistic Double-Sided Random Interval Programming for Booster Optimization in Water Distribution Network

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