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 (18.04.2018-20.04.2018)
doi: 10.26083/tuprints-00021356
Conference or Workshop Item, Secondary publication, Publisher's Version
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| Item Type: | Conference or Workshop Item |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Technical Operations Research (TOR) - Algorithms, not Engineers, Design Optimal Energy Efficient and Resilient Cooling Systems |
| Language: | English |
| Date: | 2022 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2018 |
| Book Title: | FAN 2018 - Proceedings of the International Conference on Fan Noise, Aerodynamics, Applications and Systems : 18. - 20. April 2018 |
| Collation: | 12 Seiten |
| Event Title: | International Conference on Fan Noise, Aerodynamics, Applications and Systems |
| Event Location: | Darmstadt, Germany |
| Event Dates: | 18.04.2018-20.04.2018 |
| DOI: | 10.26083/tuprints-00021356 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| 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: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-213561 |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) |
| Date Deposited: | 13 May 2022 13:58 |
| Last Modified: | 03 Apr 2023 11:51 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/21356 |
| PPN: | 495522279 |
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