Leise, Philipp ; Altherr, Lena C. ; Pelz, Peter F. (2022)
Technical Operations Research (TOR) - Algorithms, not Engineers, Design Optimal Energy Efficient and Resilient Cooling Systems.
International Conference on Fan Noise, Aerodynamics, Applications and Systems. Darmstadt, Germany (18.-20.04.2018)
doi: 10.26083/tuprints-00021356
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
By considering not only single components, but also their interplay, the overall energy efficiency of a ventilation system can be considerably improved. A design method from this system point of view, the method TOR ("Technical Operations Research"), is presented in this work. With TOR, we can algorithmically search and evaluate the energy efficiency of all possible system layouts of different fans, and find the global optimal system design. Therefore, we employ mathematical methods from the field of discrete optimization. We show the possibilities of this systematic design approach, and design a ventilation system for buildings that is energy efficient and resilient.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Leise, Philipp ; Altherr, Lena C. ; Pelz, Peter F. |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Technical Operations Research (TOR) - Algorithms, not Engineers, Design Optimal Energy Efficient and Resilient Cooling Systems |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Ort: | Darmstadt |
| Buchtitel: | FAN 2018 - Proceedings of the International Conference on Fan Noise, Aerodynamics, Applications and Systems : 18. - 20. April 2018 |
| Kollation: | 12 Seiten |
| Veranstaltungstitel: | International Conference on Fan Noise, Aerodynamics, Applications and Systems |
| Veranstaltungsort: | Darmstadt, Germany |
| Veranstaltungsdatum: | 18.-20.04.2018 |
| DOI: | 10.26083/tuprints-00021356 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/21356 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | By considering not only single components, but also their interplay, the overall energy efficiency of a ventilation system can be considerably improved. A design method from this system point of view, the method TOR ("Technical Operations Research"), is presented in this work. With TOR, we can algorithmically search and evaluate the energy efficiency of all possible system layouts of different fans, and find the global optimal system design. Therefore, we employ mathematical methods from the field of discrete optimization. We show the possibilities of this systematic design approach, and design a ventilation system for buildings that is energy efficient and resilient. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-213561 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) |
| Hinterlegungsdatum: | 13 Mai 2022 13:58 |
| Letzte Änderung: | 16 Mai 2022 06:10 |
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