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Heschl, Christian
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Official Name
Heschl, Christian
Alternative Name
Heschl, C
Main Affiliation
Akademische Titel
Prof.(FH) Dipl.-Ing. (FH) Dr.
Email
christian.heschl@fh-burgenland.at
Scopus Author ID
50161591800
Status
staff
Research Outputs
Now showing 1 - 10 of 14
- Publication
156 1 - PublicationTowards non-invasive temperature measurements in HVAC: A characterization and correction approach(IEEE, 2019-06)
; ; ; ; ;Sauter, ThiloTreytl, AlbertThe existing building stock within the European Union is responsible for a considerably huge amount of the total energy consumed. This has prompted legislative actions that focus on increasing the efficiency of Heating, Ventilation and Air Conditioning facilities by employing building automation and electronic monitoring systems. The fluid flow temperature in the hydraulic grid of a building is therefore an essential parameter to be measured, where clamp-on temperature sensors are often applied due to their simple and cost-effective installation. As the plumbing industry heads towards non-metal pipe materials with low thermal conductivity, the applicability of non- invasive measurement procedures diminishes. In this context, a characterization approach of non-invasive temperature measurements that is linked to a thermal resistance model is experimentally validated. Based on that, a correction algorithm to reduce the deviation between measured surface and the fluid flow temperature for steady state conditions is derived and tested. The presented approach provides sufficient characterization and correction performance, albeit several limitations have to be taken into consideration.423 1Scopus© Citations 1 - PublicationInstationäre Simulation der thermischen Behaglichkeitsparameter im Sommerfall mit CFD(2011)
; ; ; ;Nikolics, M.Velikovsky, R.130 2 - Publication
153 1 - Publication
163 1 - Publication
171 1 - PublicationExponential pattern recognition for deriving air change rates from CO2 data(Institute of Electrical and Electronics Engineers (IEEE), 2017)
; ; ; ;Mateis, CristinelDejan, NickovicA novel procedure for automated determination of air change rates from measured indoor CO2 concentrations is proposed. The suggested approach builds upon a new algorithm to detect exponential build-up and decay patterns in CO2 concentration time series. The feasibility of the concept is proved with a test run on synthetic data that shows a good reproduction of the previously defined air change distribution. The demonstration continues with test runs on CO2 datasets measured in the kitchen and the sleeping room of two residential buildings. The derived air change rates were within the expected distributions and ranges in both cases when natural or mechanical ventilation was used.255 52859Scopus© Citations 3