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.
Author: | 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 |
Parent Title (English): | Operations Research Proceedings 2019 |
Publisher: | Springer |
Place of publication: | Cham |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2020 |
Tag: | Engineering optimization; Experimental validation; MINLP; Network design; Water supply system |
First Page: | 481 |
Last Page: | 488 |
Note: | 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 |
Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |