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Validation of an optimized resilient water supply system

  • Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.

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Metadaten
Verfasserangaben:Tim M. Müller, Andreas Schmitt, Philipp Leise, Tobias Meck, Lena Altherr, Peter F. Pelz, Marc E. Pfetsch
DOI:https://doi.org/10.1007/978-3-030-77256-7_7
ISBN:978-3-030-77255-0
ISBN:978-3-030-77256-7
Titel des übergeordneten Werkes (Englisch):Uncertainty in Mechanical Engineering
Verlag:Springer
Verlagsort:Cham
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Erscheinungsjahr:2021
Datum der Publikation (Server):26.11.2021
Freies Schlagwort / Tag:Mixed-integer nonlinear programming; Optimization; Resilience; Validation; Water distribution system
Erste Seite:70
Letzte Seite:80
Bemerkung:
Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021
Link:https://doi.org/10.1007/978-3-030-77256-7_7
Zugriffsart:weltweit
Fachbereiche und Einrichtungen:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
open_access (DINI-Set):open_access
collections:Verlag / Springer
Open Access / Gold
Lizenz (Deutsch): Creative Commons - Namensnennung