Heschl, Christian

Official Name
Heschl, Christian
Alternative Name
Heschl, C
Main Affiliation
Akademische Titel
Prof.(FH) Dipl.-Ing. (FH) Dr.
Email
christian.heschl@hochschule-burgenland.at
Scopus Author ID
50161591800
Status
staff

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    Numerical simulation of airflow around buildings
    (Leykam, 2015-11-26)
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    Dragosits, T. 
      259  1061
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      1  482
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    Evaluation of RANS and LES turbulence models for indoor airflows
    (Nova Science Publishers, 2011)
    Inthavong, Kiao 
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    Tu, Jiyuan 
      1  144
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    Thermosiphonanlagen
    (WEKA, 2004)
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    Hofstädter, U. 
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    Lutschounig,K. 
      1  85
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    Numerical and experimental characterization of a novel low-cost thermal air flow sensor
    (IEEE, 2017)
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    Glatzl, Thomas 
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    Sauter, Thilo 
    To enable highly efficient operation of large scaled ventilation systems a continuous measured and well located air flow monitoring for control purposes and energy management is needed. The air flow monitoring solution is targeting low manufacturing cost as well as sufficient accuracy when operating near complex duct flows like pipe bends and tees. Therefore, a novel, low-cost, thermal air flow sensor, which takes non-uniform velocity profiles into account, is presented and characterized due to its application in heating, ventilation and air conditioning systems. Extensive numerical simulations and experimental investigations in an operating ventilation system show reasonable results and prove basic feasibility of the suggested novel sensor concept.
      2Scopus© Citations 3  112
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    Exponential pattern recognition for deriving air change rates from CO2 data
    (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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    Mateis, Cristinel 
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    Dejan, Nickovic 
    A 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.
    Scopus© Citations 3  300  668
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    Evaluation of eddy viscosity turbulence models to predict convective heat transfer
    (2012-12)
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    Inthavong, Kiao 
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    Tu, Jiyuan 
    Within the CFD-optimization process of thermal energy conversion systems an accurate prediction of the convective heat transfer is required. Because of the lower computational effort and the numerical stability, eddy viscosity turbulence models are often used. Besides the different velocity and time scales the eddy viscosity concept offers a lot of modifications such as variable turbulent Prandtl number, stagnation point, entrainment and near wall correction.
      1  149
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