Battle of background leakage assessment for water networks using successive linear programing

E. Price; A. Ostfeld

doi:10.1016/j.proeng.2014.11.158

Battle of background leakage assessment for water networks using successive linear programing

E. Price, A. Ostfeld

Civil and Environmental Engineering

Technion - Israel Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

This research attempts to solve the BBLAWN challenge. The examined town consists of several pressure zones with significant elevation differences, causing accesses water pressure and pipe leakage. The challenge of optimally resizing the water system, to meet future water demands and minimize leakage, was solved using a successive linear programming, minimum cost, optimal operation model that includes head loss constraints, leakage control, pipe diameter selection and pressure reducing valves. A combination of an optimization model and practical engineering experience was used in the positioning of the pressure reducing valves and sizing of pump stations and water tanks.

Original language	English
Pages (from-to)	45-52
Number of pages	8
Journal	Procedia Engineering
Volume	89
DOIs	https://doi.org/10.1016/j.proeng.2014.11.158
State	Published - 2014
Event	16th International Conference on Water Distribution System Analysis, WDSA 2014 - Bari, Italy Duration: 14 Jul 2014 → 17 Jul 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Keywords

Headloss
Optimal operation
Pipe diamiter
Pump scheduling
Water system

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1016/j.proeng.2014.11.158

Cite this

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title = "Battle of background leakage assessment for water networks using successive linear programing",

abstract = "This research attempts to solve the BBLAWN challenge. The examined town consists of several pressure zones with significant elevation differences, causing accesses water pressure and pipe leakage. The challenge of optimally resizing the water system, to meet future water demands and minimize leakage, was solved using a successive linear programming, minimum cost, optimal operation model that includes head loss constraints, leakage control, pipe diameter selection and pressure reducing valves. A combination of an optimization model and practical engineering experience was used in the positioning of the pressure reducing valves and sizing of pump stations and water tanks.",

keywords = "Headloss, Optimal operation, Pipe diamiter, Pump scheduling, Water system",

author = "E. Price and A. Ostfeld",

note = "Publisher Copyright: {\textcopyright} 2014 Published by Elsevier Ltd.; 16th International Conference on Water Distribution System Analysis, WDSA 2014 ; Conference date: 14-07-2014 Through 17-07-2014",

year = "2014",

doi = "10.1016/j.proeng.2014.11.158",

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AU - Price, E.

AU - Ostfeld, A.

PY - 2014

Y1 - 2014

N2 - This research attempts to solve the BBLAWN challenge. The examined town consists of several pressure zones with significant elevation differences, causing accesses water pressure and pipe leakage. The challenge of optimally resizing the water system, to meet future water demands and minimize leakage, was solved using a successive linear programming, minimum cost, optimal operation model that includes head loss constraints, leakage control, pipe diameter selection and pressure reducing valves. A combination of an optimization model and practical engineering experience was used in the positioning of the pressure reducing valves and sizing of pump stations and water tanks.

AB - This research attempts to solve the BBLAWN challenge. The examined town consists of several pressure zones with significant elevation differences, causing accesses water pressure and pipe leakage. The challenge of optimally resizing the water system, to meet future water demands and minimize leakage, was solved using a successive linear programming, minimum cost, optimal operation model that includes head loss constraints, leakage control, pipe diameter selection and pressure reducing valves. A combination of an optimization model and practical engineering experience was used in the positioning of the pressure reducing valves and sizing of pump stations and water tanks.

KW - Headloss

KW - Optimal operation

KW - Pipe diamiter

KW - Pump scheduling

KW - Water system

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DO - 10.1016/j.proeng.2014.11.158

M3 - مقالة من مؤنمر

SN - 1877-7058

VL - 89

SP - 45

EP - 52

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 16th International Conference on Water Distribution System Analysis, WDSA 2014

Y2 - 14 July 2014 through 17 July 2014

ER -

Battle of background leakage assessment for water networks using successive linear programing

Abstract

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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