### 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.

Originalsprog | Engelsk |
---|---|

Bogserie | IFAC-PapersOnLine |

Vol/bind | 51 |

Udgave nummer | 24 |

Sider (fra-til) | 736-741 |

ISSN | 2405-8963 |

DOI | |

Status | Udgivet - 2018 |

Begivenhed | 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - Warsaw, Polen Varighed: 29 aug. 2018 → 31 aug. 2018 |

### Konference

Konference | 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes |
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Land | Polen |

By | Warsaw |

Periode | 29/08/2018 → 31/08/2018 |

### Fingerprint

### Citer dette

*IFAC-PapersOnLine*,

*51*(24), 736-741. https://doi.org/10.1016/j.ifacol.2018.09.657

}

*IFAC-PapersOnLine*, bind 51, nr. 24, s. 736-741. https://doi.org/10.1016/j.ifacol.2018.09.657

**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.

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer 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.

U2 - 10.1016/j.ifacol.2018.09.657

DO - 10.1016/j.ifacol.2018.09.657

M3 - Conference article in Journal

VL - 51

SP - 736

EP - 741

JO - I F A C Workshop Series

JF - I F A C Workshop Series

SN - 1474-6670

IS - 24

ER -