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.
Verfasserangaben: | Tim M. Müller, Lena Altherr, Philipp Leise, Peter F. Pelz |
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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: | campus |
Fachbereiche und Einrichtungen: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |