Wenig, Florian

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Official Name
Wenig, Florian
Main Affiliation
Akademische Titel
DI, BSc
Email
florian.wenig@fh-burgenland.at
Scopus Author ID
56830581100
Status
staff

Research Outputs

2019 2019 2018 2018 2017 2017 0.0 0.0 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0

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  • No Thumbnail Available
    Publication
    Getting Fit for the Future: Optimizing Energy Usage in Existing Buildings by Adding Non-Invasive Sensor Networks
    (IEEE, 2018-08)
    Sauter, Thilo 
    ;
    Treytl, Albert 
    ;
    Diwold, Konrad 
    ;
    Molnar, David 
    ;
    Lechner, Daniel 
    ;
    Krammer, Lukas 
    ;
    Derler, Bernhard 
    ;
    Seidl, Christian 
    ;
    Wenig, Florian 
    Optimizing energy usage is becoming an economic necessity for existing buildings. Non-invasive sensors and sensor networks are key technologies for efficiently achieving this goal, since it is of utmost importance that existing hydraulic systems are not changed and the engineering effort for installation remains minimal. This paper presents a data-driven approach that should allow low-cost installation of sensors at arbitrary points of the building and then retrieve the structure of the hydraulic system from the recorded sensor values. The architecture as well as first preliminary results from field test buildings are presented.
      403  1Scopus© Citations 1
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    Publication
    Exponential pattern recognition for deriving air change rates from CO2 data
    (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Wenig, Florian 
    ;
    Klanatsky, Peter 
    ;
    Heschl, Christian 
    ;
    Mateis, Cristinel 
    ;
    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.
      255  52466Scopus© Citations 3
  • No Thumbnail Available
    Publication
    Towards non-invasive temperature measurements in HVAC: A characterization and correction approach
    (IEEE, 2019-06)
    Wenig, Florian 
    ;
    Seidl, Christian 
    ;
    Derler, Bernhard 
    ;
    Heschl, Christian 
    ;
    Sauter, Thilo 
    ;
    Treytl, Albert 
    The 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