Topological and hydraulic metrics-based search space reduction for optimal re-sizing of water distribution networks

被引:7
|
作者
Diao, Kegong [1 ]
Berardi, Luigi [2 ]
Laucelli, Daniele B. [3 ]
Ulanicki, Bogumil [1 ]
Giustolisi, Orazio [3 ]
机构
[1] De Montfort Univ, Leicester, Leics, England
[2] Univ Chieti Pescara G DAnnunzio, Pescara, Italy
[3] Tech Univ Bari, Bari, Italy
关键词
complex network theory metrics; efficient re-sizing plans; optimal pipe re-sizing of water distribution networks; GENETIC-ALGORITHM; MULTIOBJECTIVE OPTIMIZATION; REHABILITATION; REPLACEMENT; COMPONENTS; DESIGN;
D O I
10.2166/hydro.2022.158
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Pipe re-sizing of water distribution networks (WDNs) aims at improving the service performance to the required level, while minimizing the cost of replacing pipes in the network. The main challenge comes from the identification of the most effective pipes to re-size from a large number of interacting components. Performing a global search over all pipes in large WDNs does not guarantee to obtain a feasible and efficient solution due to the enormous search space, even by employing advanced algorithms, e.g., evolutionary algorithms. This paper proposes a novel method to reduce the search space for optimal re-sizing based on topological metrics from Complex Network Theory and hydraulic metrics, while providing suboptimal solutions comparable to the full search solutions, i.e., considering all pipes as candidates. The topological metrics are based on the edge-betweenness tailored for WDN analysis. Hydraulic metrics are unit head loss and flow rates of pipes computed based on simulation of the WDN in the current configuration. The optimal re-sizing plans obtained, particularly that using edge betweenness were tested on a real WDN. The results are comparable with the full search solutions but they are much more efficient to obtain and require replacing mostly contiguous pipes, i.e., easier for practical fieldwork.
引用
收藏
页码:610 / 621
页数:12
相关论文
共 15 条
  • [1] Node search space reduction for optimal placement of pressure sensors in water distribution networks for leakage detection
    Tornyeviadzi, Hoese Michel
    Owusu-Ansah, Emmauel
    Mohammed, Hadi
    Seidu, Razak
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 94 : 325 - 338
  • [2] Design Optimization of Water Distribution Networks with Dynamic Search Space Reduction GA
    Gangwani, Laxmi
    Dongre, Shilpa
    Gupta, Rajesh
    Abdy Sayyed, Mohd Abbas H.
    Tanyimboh, Tiku
    WATER RESOURCES MANAGEMENT, 2024, 38 (01) : 63 - 79
  • [3] Design Optimization of Water Distribution Networks with Dynamic Search Space Reduction GA
    Laxmi Gangwani
    Shilpa Dongre
    Rajesh Gupta
    Mohd Abbas H. Abdy Sayyed
    Tiku Tanyimboh
    Water Resources Management, 2024, 38 : 63 - 79
  • [4] Optimal design of water networks using a modified genetic algorithm with reduction in search space
    Kadu, Mahendra S.
    Gupta, Rajesh
    Bhave, Pramod R.
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2008, 134 (02) : 147 - 160
  • [5] Correction to: Design Optimization of Water Distribution Networks with Dynamic Search Space Reduction GA
    Laxmi Gangwani
    Shilpa Dongre
    Rajesh Gupta
    Mohd Abbas H. Abdy Sayyed
    Tiku Tanyimboh
    Water Resources Management, 2024, 38 : 1205 - 1205
  • [6] A Hybrid Water Distribution Networks Design Optimization Method Based on a Search Space Reduction Approach and a Genetic Algorithm
    Reca, Juan
    Martinez, Juan
    Lopez, Rafael
    WATER, 2017, 9 (11)
  • [7] Leak Localization in a Real Water Distribution Network Based on Search-Space Reduction
    Sophocleous, Sophocles
    Savic, Dragan
    Kapelan, Zoran
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2019, 145 (07)
  • [8] Water Distribution System Optimization Considering Behind-the-Meter Solar Energy with a Hydraulic Power-Based Search-Space Reduction Method
    Zhao, Qi
    Wu, Wenyan
    Simpson, Angus R.
    Willis, Ailsa
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2023, 149 (09)
  • [9] Design Optimization of Water Distribution Networks with Dynamic Search Space Reduction GA (vol 38, pg 63, 2023)
    Gangwani, Laxmi
    Dongre, Shilpa
    Gupta, Rajesh
    Sayyed, Mohd Abbas H. Abdy
    Tanyimboh, Tiku
    WATER RESOURCES MANAGEMENT, 2024, 38 (3) : 1205 - 1205
  • [10] Efficient k-means clustering and greedy selection-based reduction of nodal search space for optimization of sensor placement in the water distribution networks
    Gautam, Dinesh Kumar
    Kotecha, Prakash
    Subbiah, Senthilmurugan
    WATER RESEARCH, 2022, 220