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 |
| Date of the Publication (Server): | 2021/11/26 |
| 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: | bezahl |
| Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
