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A Two-Stage LP-NLP Methodology for the Least-Cost Design and Operation of Water Distribution Systems
by
Ostfeld, Avi
, Housh, Mashor
, Qiu, Mengning
in
algorithms
/ Case studies
/ Cost accounting
/ Decomposition
/ Design and construction
/ detection limit
/ Economic aspects
/ Genetic algorithms
/ Heuristic
/ Hydraulics
/ Linear programming
/ LPG
/ Management
/ Methods
/ Nonlinear programming
/ Optimization
/ Problems
/ Simulation
/ Technology application
/ Valves
/ water
/ Water distribution
/ Water supply construction
2020
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A Two-Stage LP-NLP Methodology for the Least-Cost Design and Operation of Water Distribution Systems
by
Ostfeld, Avi
, Housh, Mashor
, Qiu, Mengning
in
algorithms
/ Case studies
/ Cost accounting
/ Decomposition
/ Design and construction
/ detection limit
/ Economic aspects
/ Genetic algorithms
/ Heuristic
/ Hydraulics
/ Linear programming
/ LPG
/ Management
/ Methods
/ Nonlinear programming
/ Optimization
/ Problems
/ Simulation
/ Technology application
/ Valves
/ water
/ Water distribution
/ Water supply construction
2020
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Do you wish to request the book?
A Two-Stage LP-NLP Methodology for the Least-Cost Design and Operation of Water Distribution Systems
by
Ostfeld, Avi
, Housh, Mashor
, Qiu, Mengning
in
algorithms
/ Case studies
/ Cost accounting
/ Decomposition
/ Design and construction
/ detection limit
/ Economic aspects
/ Genetic algorithms
/ Heuristic
/ Hydraulics
/ Linear programming
/ LPG
/ Management
/ Methods
/ Nonlinear programming
/ Optimization
/ Problems
/ Simulation
/ Technology application
/ Valves
/ water
/ Water distribution
/ Water supply construction
2020
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A Two-Stage LP-NLP Methodology for the Least-Cost Design and Operation of Water Distribution Systems
Journal Article
A Two-Stage LP-NLP Methodology for the Least-Cost Design and Operation of Water Distribution Systems
2020
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Overview
This paper presents a two-stage method for simultaneous least-cost design and operation of looped water distribution systems (WDSs). After partitioning the network into a chord and spanning trees, in the first stage, a reformulated linear programming (LP) method is used to find the least cost design of a WDS for a given set of flow distribution. In the second stage, a non-linear programming (NLP) method is used to find a new flow distribution that reduces the cost of the WDS operation given the WDS design obtained in stage one. The following features of the proposed two-stage method make it more appealing compared to other methods: (1) the reformulated LP stage can consistently reduce the penalty cost when designing a WDS under multiple loading conditions; (2) robustness as the number of loading conditions increases; (3) parameter tuning is not required; (4) the method reduces the computational burden significantly when compared to meta-heuristic methods; and (5) in oppose to an evolutionary “black box” based methodology such as a genetic algorithm, insights through analytical sensitivity analysis, while the algorithm progresses, are handy. The efficacy of the proposed methodology is demonstrated using two WDSs case studies.
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