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Optimisation of gravity-fed water distribution network design: A critical review

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  • De Corte, Annelies
  • Sörensen, Kenneth

Abstract

This paper surveys the literature on the optimisation of water distribution network design. The water distribution network design (WDND) optimisation problem entails finding the material and diameter of each pipe in the network so that the total cost of the network is minimised without violating any hydraulic constraints. This is a difficult combinatorial optimisation problem, in which decision variables are discrete and both cost function and constraints are non-linear. Over the past 30years, a large number of methods, especially in the field of (meta) heuristics, have been developed to solve this problem, most of which obtain good results on the available benchmark networks. In addition to outlining the basic features of each method, a detailed computational comparison is presented. Based on this comparison, some issues with the current state of the art in this domain are discussed, and some future research directions are suggested. Additionally, the need for an adequate set of benchmark instances is motivated, and the minimal requirements for an instance set generator are discussed.

Suggested Citation

  • De Corte, Annelies & Sörensen, Kenneth, 2013. "Optimisation of gravity-fed water distribution network design: A critical review," European Journal of Operational Research, Elsevier, vol. 228(1), pages 1-10.
    • Handle: RePEc:eee:ejores:v:228:y:2013:i:1:p:1-10
    DOI: 10.1016/j.ejor.2012.11.046
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    Cited by:

    1. Annelies De Corte & Kenneth Sörensen, 2014. "HydroGen: an Artificial Water Distribution Network Generator," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 333-350, January.
    2. Wang, S. & Huang, G.H., 2014. "An integrated approach for water resources decision making under interactive and compound uncertainties," Omega, Elsevier, vol. 44(C), pages 32-40.
    3. DE CORTE, Annelies & SÖRENSEN, Kenneth, 2015. "A lean optimization algorithm for water distribution network design optimization," Working Papers 2015020, University of Antwerp, Faculty of Business and Economics.
    4. Weyland, Dennis, 2015. "A critical analysis of the harmony search algorithm—How not to solve sudoku," Operations Research Perspectives, Elsevier, vol. 2(C), pages 97-105.
    5. Liang, Yingzong & Hui, Chi Wai, 2018. "Convexification for natural gas transmission networks optimization," Energy, Elsevier, vol. 158(C), pages 1001-1016.
    6. Shiono, Naoshi & Suzuki, Hisatoshi & Saruwatari, Yasufumi, 2019. "A dynamic programming approach for the pipe network layout problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 52-61.
    7. Naoum-Sawaya, Joe & Ghaddar, Bissan & Arandia, Ernesto & Eck, Bradley, 2015. "Simulation-optimization approaches for water pump scheduling and pipe replacement problems," European Journal of Operational Research, Elsevier, vol. 246(1), pages 293-306.
    8. Shiono, Naoshi & Suzuki, Hisatoshi, 2016. "Optimal pipe-sizing problem of tree-shaped gas distribution networks," European Journal of Operational Research, Elsevier, vol. 252(2), pages 550-560.
    9. DE CORTE, Annelies & SÖRENSEN, Kenneth, 2014. "An iterated local search algorithm for water distribution network design optimisation," Working Papers 2014018, University of Antwerp, Faculty of Business and Economics.
    10. Kamil Świętochowski & Martyna Świętochowska & Marek Kalenik & Joanna Gwoździej-Mazur, 2023. "Analysis of the Use of a Low-Power Photovoltaic System to Power a Water Pumping Station in a Tourist Town," Energies, MDPI, vol. 16(21), pages 1-14, November.
    11. González-Bravo, Ramón & Fuentes-Cortés, Luis Fabián & Ponce-Ortega, José María, 2017. "Defining priorities in the design of power and water distribution networks," Energy, Elsevier, vol. 137(C), pages 1026-1040.

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