Optimal reliability-based design of pumping and distribution systems

Ning Duan, Larry W. Mays, Kevin E Lansey

Research output: Contribution to journalArticle

73 Citations (Scopus)

Abstract

A reliability-based optimization model for water-distribution systems has been developed. The model is aimed at the following goals: (1) Design of the pipe network including the number, location, and size of pumps and tanks; (2) design of the pumping system using a reliability-based procedure considering both hydraulic failures of the entire network and mechanical failure of the pumping system; and (3) determination of the optimal operation of the pumps. The optimization problem is a large mixed-integer, nonlinear programming problem that is solved using a heuristic algorithm consisting of a master problem and a subproblem. The master problem is a pure 0-1 integer programming model, and the subproblem is a large nonlinear programming model solved in an optimal control framework. The conservation of flow and energy constraints are solved implicitly for each iteration of the nonlinear optimization procedure using a hydraulic simulation model, and the reliability constraints are also solved implicitly using a reliability model. The nonlinear programming problem is solved using a generalized reduced gradient code.

Original languageEnglish (US)
Pages (from-to)249-268
Number of pages20
JournalJournal of Hydraulic Engineering
Volume116
Issue number2
DOIs
StatePublished - 1990
Externally publishedYes

Fingerprint

distribution system
pumping
Nonlinear programming
pump
Hydraulics
Pumps
hydraulics
Water distribution systems
Integer programming
Heuristic algorithms
heuristics
Conservation
pipe
Pipe
simulation
energy

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Water Science and Technology

Cite this

Optimal reliability-based design of pumping and distribution systems. / Duan, Ning; Mays, Larry W.; Lansey, Kevin E.

In: Journal of Hydraulic Engineering, Vol. 116, No. 2, 1990, p. 249-268.

Research output: Contribution to journalArticle

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