Using entropy in water distribution networks

T. T. Tanyimboh; A. B. Templeman

Using entropy in water distribution networks

T. T. Tanyimboh, A. B. Templeman

Civil And Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

A new approach to water network reliability is described that uses pipe flow entropy as a surrogate measure of reliability. Flow entropy does not measure reliability directly but appears to have all the properties of an accurate quantitative and qualitative reliability measure. It has the advantages of being easy to calculate for existing systems and easy to incorporate into cost optimization design procedures. An overview of the background to the development of network flow entropy is provided here along with a demonstration of the use and merits of flow entropy as a surrogate measure of reliability.

Original language	English
Title of host publication	Integrated Computer Applications in Water Supply
Subtitle of host publication	Volume 1- Methods and Procedures for System Simulation and Control
Editors	Bryan Coulbeck
Pages	77-90
Number of pages	14
Publication status	Published - 1993

Publication series

Name	Engineering Control Series

Keywords

water distribution systems
informational entropy
maximum entropy formalism
surrogate reliability measures
design optimization
constrained nonlinear programming
redundancy
resilience

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1 Article

Maximum entropy flows for single-source networks
Tanyimboh, T. T. & Templeman, A. B., 1993, In: Engineering Optimization. 22, 1, p. 49-63 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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47 Citations (Scopus)

104 Downloads (Pure)

Cite this

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abstract = "A new approach to water network reliability is described that uses pipe flow entropy as a surrogate measure of reliability. Flow entropy does not measure reliability directly but appears to have all the properties of an accurate quantitative and qualitative reliability measure. It has the advantages of being easy to calculate for existing systems and easy to incorporate into cost optimization design procedures. An overview of the background to the development of network flow entropy is provided here along with a demonstration of the use and merits of flow entropy as a surrogate measure of reliability.",

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AU - Tanyimboh, T. T.

AU - Templeman, A. B.

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N2 - A new approach to water network reliability is described that uses pipe flow entropy as a surrogate measure of reliability. Flow entropy does not measure reliability directly but appears to have all the properties of an accurate quantitative and qualitative reliability measure. It has the advantages of being easy to calculate for existing systems and easy to incorporate into cost optimization design procedures. An overview of the background to the development of network flow entropy is provided here along with a demonstration of the use and merits of flow entropy as a surrogate measure of reliability.

AB - A new approach to water network reliability is described that uses pipe flow entropy as a surrogate measure of reliability. Flow entropy does not measure reliability directly but appears to have all the properties of an accurate quantitative and qualitative reliability measure. It has the advantages of being easy to calculate for existing systems and easy to incorporate into cost optimization design procedures. An overview of the background to the development of network flow entropy is provided here along with a demonstration of the use and merits of flow entropy as a surrogate measure of reliability.

KW - water distribution systems

KW - informational entropy

KW - maximum entropy formalism

KW - surrogate reliability measures

KW - design optimization

KW - constrained nonlinear programming

KW - redundancy

KW - resilience

M3 - Chapter

SN - 0863801544

T3 - Engineering Control Series

SP - 77

EP - 90

BT - Integrated Computer Applications in Water Supply

A2 - Coulbeck, Bryan

ER -

Using entropy in water distribution networks

Abstract

Publication series

Keywords

Maximum entropy flows for single-source networks

Cite this