Algorithmic system design using scaling and affinity laws
- Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.
Verfasserangaben: | Lena Altherr, Thorsten Ederer, Christian Schänzle, Ulf Lorenz, Peter F. Pelz |
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DOI: | https://doi.org/10.1007/978-3-319-42902-1 |
ISBN: | 978-3-319-42901-4 |
ISBN: | 978-3-319-42902-1 |
Titel des übergeordneten Werkes (Englisch): | Operations Research Proceedings 2015 |
Verlag: | Springer |
Verlagsort: | Cham |
Dokumentart: | Konferenzveröffentlichung |
Sprache: | Englisch |
Erscheinungsjahr: | 2017 |
Freies Schlagwort / Tag: | Optimal Topology; Piecewise Linearization; Similarity Theory; Ventilation System |
Erste Seite: | 605 |
Letzte Seite: | 611 |
Bemerkung: | International Conference of the German, Austrian and Swiss Operations Research Societies (GOR, ÖGOR, SVOR/ASRO), University of Vienna, Austria, September 1-4, 2015 |
Link: | https://doi.org/10.1007/978-3-319-42902-1 |
Zugriffsart: | bezahl |
Fachbereiche und Einrichtungen: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |