District metered area design through multicriteria and multiobjective optimization

The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely, to deliver quality water to consumers, the benefits include leakage reduction and prompt reaction i...

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Vydáno v:Mathematical methods in the applied sciences Ročník 45; číslo 6; s. 3254 - 3271
Hlavní autoři: Brentan, Bruno M., Carpitella, Silvia, Izquierdo, Joaquín, Luvizotto, Edevar, Meirelles, Gustavo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Freiburg Wiley Subscription Services, Inc 01.04.2022
Témata:
Algorithms
Analytic hierarchy process
Chemical partition
Clustering
Control equipment
Decision making
Design modifications
Design optimization
district metered areas
Drinking water
fuzzy AHP
Graph theory
Heuristic methods
k‐means algorithm
Mathematical analysis
metaheuristic
multiobjective optimization
Multiple criterion
Multiple objective analysis
Optimization
Pareto optimization
Particle swarm optimization
Partitioning
TOPSIS
Water distribution
water distribution systems
Water engineering
Water quality
Water supply systems
Water utilities
ISSN:0170-4214, 1099-1476
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Abstract The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely, to deliver quality water to consumers, the benefits include leakage reduction and prompt reaction in cases of natural or malicious contamination events. Given the structure of a water distribution network (WDN), graph theory is the basis for DMA design, and clustering algorithms can be applied to perform the partitioning. However, such sectorization entails a number of network modifications (installing cut‐off valves and metering and control devices) involving costs and operation changes, which have to be carefully studied and optimized. Given the complexity of WDNs, optimization is usually performed using metaheuristic algorithms. In turn, optimization may be single or multiple‐objective. In this last case, a large number of solutions, frequently integrating the Pareto front, may be produced. The decision maker has eventually to choose one among them, what may be tough task. Multicriteria decision methods may be applied to support this last step of the decision‐making process. In this paper, DMA design is addressed by (i) proposing a modified k‐means algorithm for partitioning, (ii) using a multiobjective particle swarm optimization to suitably place partitioning devices, (iii) using fuzzy analytic hierarchy process (FAHP) to weight the four objective functions considered, and (iv) using technique for order of preference by similarity to ideal solution (TOPSIS) to rank the Pareto solutions to support the decision. This joint approach is applied in a case of a well‐known WDN of the literature, and the results are discussed.
AbstractList The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely, to deliver quality water to consumers, the benefits include leakage reduction and prompt reaction in cases of natural or malicious contamination events. Given the structure of a water distribution network (WDN), graph theory is the basis for DMA design, and clustering algorithms can be applied to perform the partitioning. However, such sectorization entails a number of network modifications (installing cut‐off valves and metering and control devices) involving costs and operation changes, which have to be carefully studied and optimized. Given the complexity of WDNs, optimization is usually performed using metaheuristic algorithms. In turn, optimization may be single or multiple‐objective. In this last case, a large number of solutions, frequently integrating the Pareto front, may be produced. The decision maker has eventually to choose one among them, what may be tough task. Multicriteria decision methods may be applied to support this last step of the decision‐making process. In this paper, DMA design is addressed by (i) proposing a modified k‐means algorithm for partitioning, (ii) using a multiobjective particle swarm optimization to suitably place partitioning devices, (iii) using fuzzy analytic hierarchy process (FAHP) to weight the four objective functions considered, and (iv) using technique for order of preference by similarity to ideal solution (TOPSIS) to rank the Pareto solutions to support the decision. This joint approach is applied in a case of a well‐known WDN of the literature, and the results are discussed.
Author Meirelles, Gustavo
Luvizotto, Edevar
Brentan, Bruno M.
Carpitella, Silvia
Izquierdo, Joaquín
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  fullname: Meirelles, Gustavo
  organization: Federal University of Minas Gerais—UFMG
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2022 John Wiley & Sons, Ltd.
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Snippet The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems....
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SubjectTerms Algorithms
Analytic hierarchy process
Chemical partition
Clustering
Control equipment
Decision making
Design modifications
Design optimization
district metered areas
Drinking water
fuzzy AHP
Graph theory
Heuristic methods
k‐means algorithm
Mathematical analysis
metaheuristic
multiobjective optimization
Multiple criterion
Multiple objective analysis
Optimization
Pareto optimization
Particle swarm optimization
Partitioning
TOPSIS
Water distribution
water distribution systems
Water engineering
Water quality
Water supply systems
Water utilities
Title District metered area design through multicriteria and multiobjective optimization
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Volume 45
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