TU Darmstadt / ULB / TUprints

Technical Operations Research (TOR) - Algorithms, not Engineers, Design Optimal Energy Efficient and Resilient Cooling Systems

Leise, Philipp ; Altherr, Lena C. ; Pelz, Peter F. (2022):
Technical Operations Research (TOR) - Algorithms, not Engineers, Design Optimal Energy Efficient and Resilient Cooling Systems. (Publisher's Version)
In: FAN 2018 - Proceedings of the International Conference on Fan Noise, Aerodynamics, Applications and Systems : 18. - 20. April 2018,
Darmstadt, International Conference on Fan Noise, Aerodynamics, Applications and Systems, Darmstadt, Germany, 18.-20.04.2018, DOI: 10.26083/tuprints-00021356,
[Conference or Workshop Item]

[img] Text
paper_180418_TechnicalOperationsResearch(TOR)-AlgorithmsnotEngineersDesignOptimalEnergyEfficientandResilientCoolingSystems_Leise.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (700kB)
Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Publisher's Version
Title: Technical Operations Research (TOR) - Algorithms, not Engineers, Design Optimal Energy Efficient and Resilient Cooling Systems
Language: English
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.

Book Title: FAN 2018 - Proceedings of the International Conference on Fan Noise, Aerodynamics, Applications and Systems : 18. - 20. April 2018
Place of Publication: Darmstadt
Collation: 12 Seiten
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST)
Event Title: International Conference on Fan Noise, Aerodynamics, Applications and Systems
Event Location: Darmstadt, Germany
Event Dates: 18.-20.04.2018
Date Deposited: 13 May 2022 13:58
Last Modified: 13 May 2022 13:58
DOI: 10.26083/tuprints-00021356
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-213561
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21356
PPN:
Export:
Actions (login required)
View Item View Item