A Dynamic Model for Smart Water Distribution Networks

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

While background leakages accounting for substantial water losses in supply networks remain undetectable, human reaction to even visible pipe bursts is insufficiently slow. We lose precious time in which not only water losses but severe damage to the surrounding infrastructure could be prevented.
These leakages can often be identified only during the minimum night flow and so repair work is delayed by days, causing intermittent water supply and outages. Increasing costs and the importance to ensure supply security require further measures.
Therefore, the application of holistic algorithms controlling proportional valves and pumps allows to act instantaneously on failures by isolating affected pipe sections and by reducing the pressure in that region. With the target to apply classical control theory and yet avoid too complex formulations, this paper presents a dynamic model using no more parameters than a typical, steady-state EPANET model. By means of a sophisticated network description, we modify the rigid water column theory in terms of pressure-driven demands. Other than traditional methods, this approach enables nodal consumptions to dynamically change inner system states such as pressure or flow values. Within this method, the nodal elevation undergoes proper treatment in the model equations and further ensures that pressure values will not become negative as one may have experienced in EPANET.
Original languageEnglish
Pages1-8
Number of pages8
Publication statusPublished - 1 Sep 2017
EventCCWI2017: Computing and Control for the Water Industry - Sheffield, GB, Sheffield, United Kingdom
Duration: 4 Sep 20177 Sep 2017
https://www.sheffield.ac.uk/ccwi/2017/home

Conference

ConferenceCCWI2017
Abbreviated titleCCWI
CountryUnited Kingdom
CitySheffield
Period4/09/177/09/17
Internet address

Fingerprint

leakage
pipe
water
repair
pump
water supply
water column
infrastructure
damage
distribution
cost
method
loss
parameter
consumption
demand

Cite this

Kaltenbacher, S., Steffelbauer, D., Cattani, M., Fuchs-Hanusch, D., Römer, K. U., & Horn, M. (2017). A Dynamic Model for Smart Water Distribution Networks. 1-8. Paper presented at CCWI2017, Sheffield, United Kingdom.

A Dynamic Model for Smart Water Distribution Networks. / Kaltenbacher, Stefan; Steffelbauer, David; Cattani, Marco; Fuchs-Hanusch, Daniela; Römer, Kay Uwe; Horn, Martin.

2017. 1-8 Paper presented at CCWI2017, Sheffield, United Kingdom.

Research output: Contribution to conferencePaperResearchpeer-review

Kaltenbacher, S, Steffelbauer, D, Cattani, M, Fuchs-Hanusch, D, Römer, KU & Horn, M 2017, 'A Dynamic Model for Smart Water Distribution Networks' Paper presented at CCWI2017, Sheffield, United Kingdom, 4/09/17 - 7/09/17, pp. 1-8.
Kaltenbacher S, Steffelbauer D, Cattani M, Fuchs-Hanusch D, Römer KU, Horn M. A Dynamic Model for Smart Water Distribution Networks. 2017. Paper presented at CCWI2017, Sheffield, United Kingdom.
Kaltenbacher, Stefan ; Steffelbauer, David ; Cattani, Marco ; Fuchs-Hanusch, Daniela ; Römer, Kay Uwe ; Horn, Martin. / A Dynamic Model for Smart Water Distribution Networks. Paper presented at CCWI2017, Sheffield, United Kingdom.8 p.
@conference{5297b9d9c9c74861becb6220dce82f97,
title = "A Dynamic Model for Smart Water Distribution Networks",
abstract = "While background leakages accounting for substantial water losses in supply networks remain undetectable, human reaction to even visible pipe bursts is insufficiently slow. We lose precious time in which not only water losses but severe damage to the surrounding infrastructure could be prevented.These leakages can often be identified only during the minimum night flow and so repair work is delayed by days, causing intermittent water supply and outages. Increasing costs and the importance to ensure supply security require further measures.Therefore, the application of holistic algorithms controlling proportional valves and pumps allows to act instantaneously on failures by isolating affected pipe sections and by reducing the pressure in that region. With the target to apply classical control theory and yet avoid too complex formulations, this paper presents a dynamic model using no more parameters than a typical, steady-state EPANET model. By means of a sophisticated network description, we modify the rigid water column theory in terms of pressure-driven demands. Other than traditional methods, this approach enables nodal consumptions to dynamically change inner system states such as pressure or flow values. Within this method, the nodal elevation undergoes proper treatment in the model equations and further ensures that pressure values will not become negative as one may have experienced in EPANET.",
author = "Stefan Kaltenbacher and David Steffelbauer and Marco Cattani and Daniela Fuchs-Hanusch and R{\"o}mer, {Kay Uwe} and Martin Horn",
year = "2017",
month = "9",
day = "1",
language = "English",
pages = "1--8",
note = "CCWI2017 : Computing and Control for the Water Industry, CCWI ; Conference date: 04-09-2017 Through 07-09-2017",
url = "https://www.sheffield.ac.uk/ccwi/2017/home",

}

TY - CONF

T1 - A Dynamic Model for Smart Water Distribution Networks

AU - Kaltenbacher, Stefan

AU - Steffelbauer, David

AU - Cattani, Marco

AU - Fuchs-Hanusch, Daniela

AU - Römer, Kay Uwe

AU - Horn, Martin

PY - 2017/9/1

Y1 - 2017/9/1

N2 - While background leakages accounting for substantial water losses in supply networks remain undetectable, human reaction to even visible pipe bursts is insufficiently slow. We lose precious time in which not only water losses but severe damage to the surrounding infrastructure could be prevented.These leakages can often be identified only during the minimum night flow and so repair work is delayed by days, causing intermittent water supply and outages. Increasing costs and the importance to ensure supply security require further measures.Therefore, the application of holistic algorithms controlling proportional valves and pumps allows to act instantaneously on failures by isolating affected pipe sections and by reducing the pressure in that region. With the target to apply classical control theory and yet avoid too complex formulations, this paper presents a dynamic model using no more parameters than a typical, steady-state EPANET model. By means of a sophisticated network description, we modify the rigid water column theory in terms of pressure-driven demands. Other than traditional methods, this approach enables nodal consumptions to dynamically change inner system states such as pressure or flow values. Within this method, the nodal elevation undergoes proper treatment in the model equations and further ensures that pressure values will not become negative as one may have experienced in EPANET.

AB - While background leakages accounting for substantial water losses in supply networks remain undetectable, human reaction to even visible pipe bursts is insufficiently slow. We lose precious time in which not only water losses but severe damage to the surrounding infrastructure could be prevented.These leakages can often be identified only during the minimum night flow and so repair work is delayed by days, causing intermittent water supply and outages. Increasing costs and the importance to ensure supply security require further measures.Therefore, the application of holistic algorithms controlling proportional valves and pumps allows to act instantaneously on failures by isolating affected pipe sections and by reducing the pressure in that region. With the target to apply classical control theory and yet avoid too complex formulations, this paper presents a dynamic model using no more parameters than a typical, steady-state EPANET model. By means of a sophisticated network description, we modify the rigid water column theory in terms of pressure-driven demands. Other than traditional methods, this approach enables nodal consumptions to dynamically change inner system states such as pressure or flow values. Within this method, the nodal elevation undergoes proper treatment in the model equations and further ensures that pressure values will not become negative as one may have experienced in EPANET.

M3 - Paper

SP - 1

EP - 8

ER -