Successive Linear Programming Approach Applied to BBLAWN

Eyal Price, Avi Ostfeld

Research output: Contribution to journalArticlepeer-review

Abstract

The battle of background leakage assessment for water networks (BBLAWN) challenge was approached using successive linear programming. A linear representation was solved successively for the nonlinear constraints of headloss, leakage, pump energy consumption, and pipe sizing. The optimization model returned minimal cost pump scheduling and pipe sizing while minimizing leakage and maintaining minimum service pressures to the consumers. Pressure reducing valves, pump, and water tank sizing were performed manually and their effect was examined using the optimization model. Parallel pipes were added along the main supply pipes from the pumping stations to the water tanks, to allow for minimum service pressures. Pressure reducing valves were added to pipes branching from the main supply pipes to lower excess pressures to the secondary supply pipes.

Original languageEnglish
Article numberC4015001
JournalJournal of Water Resources Planning and Management
Volume142
Issue number5
DOIs
StatePublished - 1 May 2016

Keywords

  • Headloss
  • Optimal operation
  • Pipe sizing
  • Pump scheduling
  • Water system

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Water Science and Technology
  • Management, Monitoring, Policy and Law

Fingerprint

Dive into the research topics of 'Successive Linear Programming Approach Applied to BBLAWN'. Together they form a unique fingerprint.

Cite this