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- MINLP (2)
- Efficiency optimization (1)
- Engineering optimization (1)
- Experimental validation (1)
- Network design (1)
- Piecewise linearization (1)
- Powertrain (1)
- Water supply system (1)
- anticipation strategy (1)
- fault detection (1)
- water supply system (1)
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.