Optimization of Pumping Systems for Buildings: Experimental Validation of Different Degrees of Model Detail on a Modular Test Rig

Tim M. Müller (), Lena C. Altherr (), Philipp Leise () and Peter F. Pelz ()
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Tim M. Müller: Technische Universität Darmstadt
Lena C. Altherr: Münster University of Applied Sciences
Philipp Leise: Technische Universität Darmstadt
Peter F. Pelz: Technische Universität Darmstadt

A chapter in Operations Research Proceedings 2019, 2020, pp 481-488 from Springer

Abstract: 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.

Keywords: MINLP; Engineering optimization; Water supply system; Network design; Experimental validation (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-48439-2_58

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