Conference Proceeding
Refine
Year of publication
- 2020 (46) (remove)
Institute
- Fachbereich Energietechnik (14)
- Fachbereich Elektrotechnik und Informationstechnik (12)
- Fachbereich Luft- und Raumfahrttechnik (11)
- ECSM European Center for Sustainable Mobility (8)
- Solar-Institut Jülich (5)
- Fachbereich Medizintechnik und Technomathematik (4)
- Fachbereich Maschinenbau und Mechatronik (3)
- Fachbereich Wirtschaftswissenschaften (2)
- IfB - Institut für Bioengineering (2)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (2)
Has Fulltext
- no (46)
Language
- English (46) (remove)
Document Type
- Conference Proceeding (46) (remove)
Keywords
- Adjacent buildings (2)
- Historical centres (2)
- MINLP (2)
- Shake table test (2)
- Stone masonry (2)
- Acceptance (1)
- Additive manufacturing (1)
- Blind prediction competition (1)
- Bumblebees (1)
- Capacity Building Higher Education (1)
Is part of the Bibliography
- no (46)
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.