The Dual Model under pressure: how robust is leak detection under uncertainties and model-mismatches

This paper investigates the robustness of one innovative model-based method for leak detection, namely the dual model. We evaluate the algorithm's performance under various leakage scenarios in the L-Town network, despite uncertainties and model mismatches in (i) base demand, (ii) pipe roughnes...

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Veröffentlicht in:Engineering proceedings Jg. 69; H. 1; S. 89
Hauptverfasser: Campbell, Enrique, Abraham, Edo, Koslowski, Johannes, Piller, Olivier, Steffelbauer, David B
Format: Journal Article
Sprache:Englisch
Veröffentlicht: MDPI 09.09.2024
MDPI AG
Schlagworte:
Civil Engineering
Computer Science
dual model
Engineering Sciences
leak detection
Modeling and Simulation
Operations Research
robustness
simulation model
Robustness
Simulation model
Leak detection
Dual model
ISSN:2673-4591
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Beschreibung
Zusammenfassung:This paper investigates the robustness of one innovative model-based method for leak detection, namely the dual model. We evaluate the algorithm's performance under various leakage scenarios in the L-Town network, despite uncertainties and model mismatches in (i) base demand, (ii) pipe roughness, (iii) number of sensors, and (iv) network topology. Our investigation results indicate that the Dual Model is highly sensitive to discrepancies in the first three parameters. However, the impact can be mitigated through sensor-specific calibration, such as adjusting sensor elevations. Moreover, the Dual Model has demonstrated robustness to minor topology mismatches, like those introduced by closed valves.
ISSN:2673-4591
DOI:10.3390/engproc2024069089