Water Supply Network Partitioning Based on Simultaneous Cost and Energy Optimization

被引:15
|
作者
Di Nardo, Armando [1 ,3 ]
Di Natale, Michele [1 ,3 ]
Giudicianni, Carlo [1 ]
Santonastaso, Giovanni Francesco [1 ,3 ]
Tzatchkov, Velitchko [2 ,3 ]
Rodriguez Varela, Jose Manuel [2 ,3 ]
Alcocer Yamanaka, Victor Hugo [2 ]
机构
[1] Univ Naples 2, Dept Civil Engn Design Bldg & Environm, Via Roma 29, I-81031 Aversa, Italy
[2] Mexican Inst Water Technol, Urban Hydraul Dept, Jiutepec 62550, Mexico
[3] European Innovat Partnership Water, Act Grp CTRL SWAN, Aversa, Italy
关键词
Water network partitioning; multi-objective optimization; resilience; graph partitioning; SWANP;
D O I
10.1016/j.proeng.2016.11.048
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Water Network Partitioning (WNP) improves water network management, simplifying the computation of water budgets and, consequently, allowing the identification and reduction of water loss. It is achieved by inserting flow meters and gate valves in the network, previously clustered in subsystems. The clustering and partitioning phases are carried out with different procedures. The first one requires clustering algorithms that assign network nodes to each district (or cluster). The second one chooses the boundary pipes where flow meters or gate valves are to be inserted. In this paper, SWANP software is employed to achieve a network clustering through two different algorithms based on a multilevel-recursive bisection and community -structure procedures. After that, a novel multi-objective function is introduced and applied to a large Mexican network integrating both cost and energy performance, thus providing a smart Decision Support System (DSS) based on qualitative and quantitative measures, and diagrams for evaluating the optimal layout in terms of the number of districts, cost, and hydraulic performance. (C)2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:238 / 245
页数:8
相关论文
共 50 条
  • [1] Optimization of energy cost in water supply system
    Zimoch, Izabela
    Bartkiewicz, Ewelina
    INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY SYSTEMS AND ENVIRONMENTAL ENGINEERING (ASEE17), 2017, 22
  • [2] Water Supply Network Partitioning Based On Weighted Spectral Clustering
    Di Nardo, Armando
    Di Natale, Michele
    Giudicianni, Carlo
    Greco, Roberto
    Santonastaso, Giovanni Francesco
    COMPLEX NETWORKS & THEIR APPLICATIONS V, 2017, 693 : 797 - 807
  • [3] Simulated Annealing in Optimization of Energy Production in a Water Supply Network
    Irene Samora
    Mário J. Franca
    Anton J. Schleiss
    Helena M. Ramos
    Water Resources Management, 2016, 30 : 1533 - 1547
  • [4] Simulated Annealing in Optimization of Energy Production in a Water Supply Network
    Samora, Irene
    Franca, Mario J.
    Schleiss, Anton J.
    Ramos, Helena M.
    WATER RESOURCES MANAGEMENT, 2016, 30 (04) : 1533 - 1547
  • [5] Software for partitioning and protecting a water supply network
    Di Nardo, A.
    Di Natale, M.
    Musmarra, D.
    Santonastaso, G. F.
    Tuccinardi, F. P.
    Zaccone, G.
    CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 2016, 33 (01) : 55 - 69
  • [6] Optimization of Water Supply Systems to Reduce the Cost of Electric Energy: A Case Study
    Pereira, Clayton Alexandre
    Andreoli, Andre Luiz
    2021 14TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), 2021, : 1530 - 1537
  • [7] Optimization of complex water supply network
    Shanmugasundaram, S. K.
    Prasad, R.
    Fear, J.
    12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013, 2014, 70 : 1524 - 1530
  • [8] A method for water supply network DMA partitioning planning based on improved spectral clustering
    Fang, Qiansheng
    Zhao, Hongyu
    Xie, Chenlei
    Chen, Tao
    WATER SUPPLY, 2023, 23 (08) : 3432 - 3452
  • [9] Modeling and optimization of distributed energy supply network with power and hot water interchanges
    Wu, Qiong
    Ren, Hongbo
    Gao, Weijun
    Ren, Jianxing
    APPLIED THERMAL ENGINEERING, 2016, 94 : 635 - 643
  • [10] Optimization of Mixed Energy Supply of IoT Network Based on Matching Game and Convex Optimization
    Han, Dongsheng
    Liu, Tao
    Qi, Yincheng
    SENSORS, 2020, 20 (19) : 1 - 21