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Optimization of pumping systems for buildings: Experimental validation of different degrees of model detail on a modular test rig

  • Successful optimization requires an appropriate model of the system under consideration. When selecting a suitable level of detail, one has to consider solution quality as well as the computational and implementation effort. In this paper, we present a MINLP for a pumping system for the drinking water supply of high-rise buildings. We investigate the influence of the granularity of the underlying physical models on the solution quality. Therefore, we model the system with a varying level of detail regarding the friction losses, and conduct an experimental validation of our model on a modular test rig. Furthermore, we investigate the computational effort and show that it can be reduced by the integration of domain-specific knowledge.

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Metadaten
Verfasserangaben:Tim M. Müller, Lena Altherr, Philipp Leise, Peter F. Pelz
DOI:https://doi.org/10.1007/978-3-030-48439-2_58
ISBN:978-3-030-48438-5
Titel des übergeordneten Werkes (Englisch):Operations Research Proceedings 2019
Verlag:Springer
Verlagsort:Cham
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Erscheinungsjahr:2020
Datum der Publikation (Server):26.11.2021
Freies Schlagwort / Tag:Engineering optimization; Experimental validation; MINLP; Network design; Water supply system
Erste Seite:481
Letzte Seite:488
Bemerkung:
Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019
Link:https://doi.org/10.1007/978-3-030-48439-2_58
Zugriffsart:bezahl
Fachbereiche und Einrichtungen:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik