Abstract
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.
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Notes
- 1.
Equation only active if friction is considered.
- 2.
Equation only active if dual bound is considered.
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Acknowledgements
Results were obtained in project No. 17482 N/1, funded by the German Federal Ministry of Economic Affairs and Energy (BMWi) approved by the Arbeitsgemeinschaft industrieller Forschungsvereinigungen “Otto von Guericke” e.V. (AiF). Moreover, this research was partially funded by Deutsche Forschungsgemeinschaft (DFG) under project No. 57157498.
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Müller, T.M., Altherr, L.C., Leise, P., Pelz, P.F. (2020). Optimization of Pumping Systems for Buildings: Experimental Validation of Different Degrees of Model Detail on a Modular Test Rig. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_58
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DOI: https://doi.org/10.1007/978-3-030-48439-2_58
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