Leakage localization in water distribution using data-driven models and sensitivity analysis

Tom Nørgaard Jensen, Vicenc Puig, Juli Romera, Carsten Skovmose Kallesøe, Rafal Wisniewski, Jan Dimon Bendtsen

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

3 Citationer (Scopus)

Resumé

Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is water leakage in the piping networks delivering potable/consumable water to end-users (Sensus, 2012). In this paper, we consider the problem of isolating leakages in water supply networks using reduced network models. Using a reduced order model of the network, the expected behaviour of the network can be estimated and then compared with actual measurements obtained from the network. The result of this comparison is a set of residuals which are used to isolate a leakage to a network node. The localization is based on a sensitivity matrix which captures the residuals’ sensitivities to leakages. As the reduced order model is adaptive based on measurements from the network, the reduced order model is plug-and-play commissionable. The calculation of the sensitivity matrix is based on an EPANET model of the network and is performed off-line.

OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind51
Udgave nummer24
Sider (fra-til)736-741
ISSN2405-8963
DOI
StatusUdgivet - 2018
Begivenhed10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - Warsaw, Polen
Varighed: 29 aug. 201831 aug. 2018

Konference

Konference10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes
LandPolen
ByWarsaw
Periode29/08/201831/08/2018

Fingerprint

Sensitivity analysis
Water
Water supply
Potable water

Citer dette

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title = "Leakage localization in water distribution using data-driven models and sensitivity analysis",
abstract = "Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is water leakage in the piping networks delivering potable/consumable water to end-users (Sensus, 2012). In this paper, we consider the problem of isolating leakages in water supply networks using reduced network models. Using a reduced order model of the network, the expected behaviour of the network can be estimated and then compared with actual measurements obtained from the network. The result of this comparison is a set of residuals which are used to isolate a leakage to a network node. The localization is based on a sensitivity matrix which captures the residuals’ sensitivities to leakages. As the reduced order model is adaptive based on measurements from the network, the reduced order model is plug-and-play commissionable. The calculation of the sensitivity matrix is based on an EPANET model of the network and is performed off-line.",
author = "Jensen, {Tom N{\o}rgaard} and Vicenc Puig and Juli Romera and Kalles{\o}e, {Carsten Skovmose} and Rafal Wisniewski and Bendtsen, {Jan Dimon}",
year = "2018",
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journal = "I F A C Workshop Series",
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Leakage localization in water distribution using data-driven models and sensitivity analysis. / Jensen, Tom Nørgaard; Puig, Vicenc; Romera, Juli; Kallesøe, Carsten Skovmose; Wisniewski, Rafal; Bendtsen, Jan Dimon.

I: IFAC-PapersOnLine, Bind 51, Nr. 24, 2018, s. 736-741.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Leakage localization in water distribution using data-driven models and sensitivity analysis

AU - Jensen, Tom Nørgaard

AU - Puig, Vicenc

AU - Romera, Juli

AU - Kallesøe, Carsten Skovmose

AU - Wisniewski, Rafal

AU - Bendtsen, Jan Dimon

PY - 2018

Y1 - 2018

N2 - Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is water leakage in the piping networks delivering potable/consumable water to end-users (Sensus, 2012). In this paper, we consider the problem of isolating leakages in water supply networks using reduced network models. Using a reduced order model of the network, the expected behaviour of the network can be estimated and then compared with actual measurements obtained from the network. The result of this comparison is a set of residuals which are used to isolate a leakage to a network node. The localization is based on a sensitivity matrix which captures the residuals’ sensitivities to leakages. As the reduced order model is adaptive based on measurements from the network, the reduced order model is plug-and-play commissionable. The calculation of the sensitivity matrix is based on an EPANET model of the network and is performed off-line.

AB - Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is water leakage in the piping networks delivering potable/consumable water to end-users (Sensus, 2012). In this paper, we consider the problem of isolating leakages in water supply networks using reduced network models. Using a reduced order model of the network, the expected behaviour of the network can be estimated and then compared with actual measurements obtained from the network. The result of this comparison is a set of residuals which are used to isolate a leakage to a network node. The localization is based on a sensitivity matrix which captures the residuals’ sensitivities to leakages. As the reduced order model is adaptive based on measurements from the network, the reduced order model is plug-and-play commissionable. The calculation of the sensitivity matrix is based on an EPANET model of the network and is performed off-line.

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DO - 10.1016/j.ifacol.2018.09.657

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JF - I F A C Workshop Series

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