Robustness-based optimal pump design and scheduling for water distribution systems

Donghwi Jung, Kevin E. Lansey, Young Hwan Choi, Joong Hoon Kim

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


We introduce a new system robustness index for optimizing the pump design and operation of water distribution systems. Here, robustness is defined as a system's ability to continue functioning under varying demand conditions. The maximum difference between the daily maximum and minimum pressures of a node was taken as a robustness indicator and incorporated as a constraint in a pump design and operation model that minimizes the total pump cost (construction and operation cost). Two well-known benchmark networks, the Apulian and Net2 networks, were modified and used to demonstrate the proposed model. The Pareto relationship between the total cost and system robustness was explored through independent optimizations of the model for different robustness constraint values. The resulting solutions were compared to the traditional least-cost solution. Regardless of the study networks, considering the robustness resulted in a greater number of small pumps compared with the least-cost solution. A sensitivity analysis on tank capacity was performed with the Apulian network. The proposed model is the pump design and operation tool that accounts for both the total pump cost and system robustness, which are the most important factors considered by water distribution operators.

Original languageEnglish
Pages (from-to)500-513
Number of pages14
JournalJournal of Hydroinformatics
Issue number3
Publication statusPublished - 2016 May


  • Daily maximum pressure difference
  • Pump design
  • Pump operation
  • Robust operation
  • Water distribution network

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology
  • Geotechnical Engineering and Engineering Geology
  • Atmospheric Science


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