Optimal long-term design, rehabilitation and upgrading of water distribution networks

T. Tanyimboh, P. Kalungi

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Given a limited budget, the choice of the best water distribution network upgrading strategy is a complex optimization problem. A model for the optimal long-term design and upgrading of new and existing water distribution networks is presented. A key strength of the methodology is the use of maximum entropy flows, which reduces the size of the problem and enables the application of linear programming for pipe size optimization. It also ensures the reliability level is high. The capital and maintenance costs and hydraulic performance are considered simultaneously for a predefined design horizon. The timing of upgrading over the entire planning horizon is obtained by dynamic programming. The deterioration over time of the structural integrity and hydraulic capacity of every pipe are explicitly considered. The upgrading options considered include pipe paralleling and replacement. The effectiveness of the model is demonstrated using the water supply network of Wobulenzi town in Uganda.
Original languageEnglish
Pages (from-to)637-654
Number of pages17
JournalEngineering Optimization
Volume40
Issue number7
DOIs
Publication statusPublished - 2008

Keywords

  • water distribution network
  • statistical entropy
  • reliability
  • linear programming
  • dynamic programming

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  • Research Output

    • 8 Citations
    • 2 Article

    Assessment of penalty-free multi-objective evolutionary optimization approach for the design and rehabilitation of water distribution systems

    Siew, C., Tanyimboh, T. & Seyoum, A. G., Jan 2014, In : Water Resources Management. 28, 2, p. 373-389 17 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 21 Citations (Scopus)
    89 Downloads (Pure)

    Maximum entropy flows for single-source networks

    Tanyimboh, T. T. & Templeman, A. B., 1993, In : Engineering Optimization. 22, 1, p. 49-63 15 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 46 Citations (Scopus)
    93 Downloads (Pure)

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