TU Darmstadt / ULB / TUprints

As Good As It Can Be - Ventilation System Design By A Combined Scaling And Discrete Optimization Method

Schänzle, Christian ; Altherr, Lena C. ; Ederer, Thorsten ; Lorenz, Ulf ; Pelz, Peter F. (2022)
As Good As It Can Be - Ventilation System Design By A Combined Scaling And Discrete Optimization Method.
International Conference on Fan Noise, Fan Technology and Numerical Methods (Fan 2015). Lyon, France (15.-17.04.2015)
doi: 10.26083/tuprints-00021039
Conference or Workshop Item, Secondary publication, Publisher's Version

[img] Text
paper_150420_TOR_ventilation_system_design_FAN15_lyon_schaenzle.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (2MB)
Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: As Good As It Can Be - Ventilation System Design By A Combined Scaling And Discrete Optimization Method
Language: English
Date: 2022
Place of Publication: Darmstadt
Publisher: Institution of Mechanical Engineers
Book Title: FAN 2015 : Proceedings of the International Conference Fan Noise, Fan Technology and Numerical Methods ; 15 - 17 April 2015, Lyon
Collation: 11 Seiten
Event Title: International Conference on Fan Noise, Fan Technology and Numerical Methods (Fan 2015)
Event Location: Lyon, France
Event Dates: 15.-17.04.2015
DOI: 10.26083/tuprints-00021039
Origin: Secondary publication service
Abstract:

The understanding that optimized components do not automatically lead to energy-efficient systems sets the attention from the single component on the entire technical system. At TU Darmstadt, a new field of research named Technical Operations Research (TOR) has its origin. It combines mathematical and technical know-how for the optimal design of technical systems. We illustrate our optimization approach in a case study for the design of a ventilation system with the ambition to minimize the energy consumption for a temporal distribution of diverse load demands. By combining scaling laws with our optimization methods we find the optimal combination of fans and show the advantage of the use of multiple fans.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-210391
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: 09 May 2022 11:20
Last Modified: 30 Mar 2023 07:23
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21039
PPN: 495511978
Export:
Actions (login required)
View Item View Item