Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems

Avi Ostfeld; Elad Salomons

doi:10.1080/03052150500478007

Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems

Research output: Contribution to journal › Article › peer-review

Abstract

This article extends previous work on optimal booster chlorination injection design and operation in water distribution systems by solving the scheduling problem of pumping units in conjunction with the design and operation problem of booster chlorination stations. Two models are formulated and solved using a genetic algorithm scheme tailor-made to EPANET: Min Cost - for minimizing the costs of pumping and the chlorine booster design and operation, and Max Protection - for maximizing the system protection by maximizing the injected chlorine dose. An example application is explored through a base run and sensitivity analysis showing that the algorithm proposed is robust and reliable, and that the pump and chlorine injection scheduling are mutually connected.

Original language	English
Pages (from-to)	337-352
Number of pages	16
Journal	Engineering Optimization
Volume	38
Issue number	3
DOIs	https://doi.org/10.1080/03052150500478007
State	Published - Apr 2006
Externally published	Yes

Bibliographical note

Funding Information:
This research was supported by the Technion Grand Water Research Institute (GWRI) and by the Winnipeg Research Fund for the Promotion of Research at the Technion.

Keywords

EPANET
Genetic algorithm
Operation: Booster chlorination
Optimization
Water distribution systems

ASJC Scopus subject areas

Computer Science Applications
Control and Optimization
Management Science and Operations Research
Industrial and Manufacturing Engineering
Applied Mathematics

UN SDGs

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

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10.1080/03052150500478007

Cite this

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title = "Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems",

abstract = "This article extends previous work on optimal booster chlorination injection design and operation in water distribution systems by solving the scheduling problem of pumping units in conjunction with the design and operation problem of booster chlorination stations. Two models are formulated and solved using a genetic algorithm scheme tailor-made to EPANET: Min Cost - for minimizing the costs of pumping and the chlorine booster design and operation, and Max Protection - for maximizing the system protection by maximizing the injected chlorine dose. An example application is explored through a base run and sensitivity analysis showing that the algorithm proposed is robust and reliable, and that the pump and chlorine injection scheduling are mutually connected.",

keywords = "EPANET, Genetic algorithm, Operation: Booster chlorination, Optimization, Water distribution systems",

author = "Avi Ostfeld and Elad Salomons",

note = "Funding Information: This research was supported by the Technion Grand Water Research Institute (GWRI) and by the Winnipeg Research Fund for the Promotion of Research at the Technion.",

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language = "English",

volume = "38",

pages = "337--352",

journal = "Engineering Optimization",

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T1 - Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems

AU - Ostfeld, Avi

AU - Salomons, Elad

N1 - Funding Information: This research was supported by the Technion Grand Water Research Institute (GWRI) and by the Winnipeg Research Fund for the Promotion of Research at the Technion.

PY - 2006/4

Y1 - 2006/4

N2 - This article extends previous work on optimal booster chlorination injection design and operation in water distribution systems by solving the scheduling problem of pumping units in conjunction with the design and operation problem of booster chlorination stations. Two models are formulated and solved using a genetic algorithm scheme tailor-made to EPANET: Min Cost - for minimizing the costs of pumping and the chlorine booster design and operation, and Max Protection - for maximizing the system protection by maximizing the injected chlorine dose. An example application is explored through a base run and sensitivity analysis showing that the algorithm proposed is robust and reliable, and that the pump and chlorine injection scheduling are mutually connected.

AB - This article extends previous work on optimal booster chlorination injection design and operation in water distribution systems by solving the scheduling problem of pumping units in conjunction with the design and operation problem of booster chlorination stations. Two models are formulated and solved using a genetic algorithm scheme tailor-made to EPANET: Min Cost - for minimizing the costs of pumping and the chlorine booster design and operation, and Max Protection - for maximizing the system protection by maximizing the injected chlorine dose. An example application is explored through a base run and sensitivity analysis showing that the algorithm proposed is robust and reliable, and that the pump and chlorine injection scheduling are mutually connected.

KW - EPANET

KW - Genetic algorithm

KW - Operation: Booster chlorination

KW - Optimization

KW - Water distribution systems

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DO - 10.1080/03052150500478007

M3 - Article

AN - SCOPUS:33646228829

SN - 0305-215X

VL - 38

SP - 337

EP - 352

JO - Engineering Optimization

JF - Engineering Optimization

IS - 3

ER -

Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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