Seidl, Christian

Thumbnail Image
Official Name
Seidl, Christian
Main Affiliation
Akademische Titel
DI, BSc
Email
christian.seidl@forschung-burgenland.at
Scopus Author ID
57203590063
Status
staff

Research Outputs

2023 2023 2022 2022 2021 2021 2020 2020 2019 2019 2018 2018 0.0 0.0 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 1.8 1.8 2.0 2.0
Now showing 1 - 5 of 5
  • 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.
      423Scopus© Citations 1
  • No Thumbnail Available
    Publication
    Analyse von non-invasiven Temperatursensoren in puncto Wärmemengenerfassung
    (Leykam, 2019)
    Seidl, Christian 
    Die EU 2020 Ziele zur Senkung des Primärenergieverbrauchs bzw. Steigerung der Energieeffizienz fordern auch die moderne Gebäudetechnik zum aktiven handeln auf. Dafür braucht es eine ganzheitliche Betrachtung aller Systeme und Anlagen im Gebäude. Es reicht nicht aus nur einzelne Teilsysteme, wie beispielsweise Wärmebereitstellung oder Wärmeabgabesystem, bilanziell zu bewerten. Die Senkung des Primärenergieverbrauchs durch Steigerung der Energieeffizienz setzt eine genaue Kenntnis der Energiestromverteilung in den hydraulischen Verteilnetzen voraus. In dieser Arbeit rückt die non-invasive Temperaturmessung in den Mittelpunkt. Anhand eines vereinfachten Widerstandsmodells wird ein Korrekturalgorithmus entwickelt, der imstande ist, die Messabweichung zwischen invasiven und non-invasiven Temperatursensoren zu korrigieren. Bei dieser Methodik reicht die messtechnische Erfassung von Rohroberflächentemperatur und Umgebungstemperatur aus, um die annähernd wahre Temperatur des im Rohr strömenden Mediums zu ermitteln. Der Einsatz einer thermischen Isolierung rund um die non-invasive Messstelle wird ebenfalls thematisiert.
      439
  • No Thumbnail Available
    Product
    Measurement dataset from real operation of a hybrid photovoltaic-thermal solar collectors, used for the development of a data-driven model
    (2023-06-21)
    Veynandt, Francois 
    ;
    Inschlag, Franz 
    ;
    Seidl, Christian 
    ;
    Heschl, Christian 
    This dataset contains measurements from real operation of a hybrid photovoltaic-thermal solar collector. The data is from a summer period, when the collector works at its higher temperature limit, with low thermal efficiency. The dataset characterizes the output of the collector: thermal (heat transfer fluid flowrate, inlet and outlet temperatures) and electrical (raw current and voltage, Hampel filtered power). Further information on the collector are the PV cell temperature and the back surface temperature (in three points). Detailed weather information are included: ambient temperature, solar resource (direct normal, global and diffuse horizontal, global tilted in the collector plane), equivalent radiative sky temperature (calculated from a pyrgeometer), wind speed and direction both horizontal and in the tilted collector plane. The calculated sun position with Duffie and Beckmann method is also given (elevation and azimuth) . The dataset covers 58 summer days from 11th July to 6th September, with a 5 second time step. The data is available as .mat file (MATLAB) and .csv file. This dataset is presented in details in a dedicated article [1]. A selection of variables from this dataset has already been used in the development of a data-driven model [2]. References: [1] F. Veynandt, F. Inschlag, C. Seidl, C. Heschl, Measurement data from real operation of a hybrid photovoltaic-thermal solar collectors, used for the development of a data-driven model, Data in Brief. 49 (2023) 109417. https://doi.org/10.1016/j.dib.2023.109417. [2] F. Veynandt, P. Klanatsky, H. Plank, C. Heschl, Hybrid photovoltaic-thermal solar collector modelling with parameter identification using operation data, Energy and Buildings. 295 (2023) 113277. https://doi.org/10.1016/j.enbuild.2023.113277.
      128  28
  • 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.
      403Scopus© Citations 1
  • Thumbnail Image
    Publication
    Measurement data from real operation of a hybrid photovoltaic-thermal solar collectors, used for the development of a data-driven model
    (2023)
    François Veynandt 
    ;
    Franz Inschlag 
    ;
    Christian Seidl 
    ;
    Christian Heschl 
    This article presents a measurement dataset from real operation of a hybrid photovoltaic-thermal solar collector. The data is from a summer period, when the collector works at its higher temperature limit, with low thermal efficiency. The dataset characterizes the output of the collector: thermal (heat transfer fluid flowrate, inlet and outlet temperatures) and electrical (raw current and voltage, Hampel filtered power). Further information on the collector are the PV cell temperature and the back surface temperature (in three points). It provides detailed weather information: ambient temperature, solar resource (direct normal, global and diffuse horizontal, global tilted in the collector plane), equivalent radiative sky temperature (calculated from a pyrgeometer), wind speed and direction both horizontal and in the tilted collector plane. The calculated sun position with Duffie and Beckmann method is also given (elevation and azimuth) . The dataset covers 58 summer days from 11th July to 6th September, with a 5 second time step. The data is available as .mat file (MATLAB) and .csv file. A selection of variables from this dataset has already been used in the development of a data-driven model (see related article) [1]. The extended data presented in this article offers mode detailed weather information, opening further investigations opportunities. Further options for data-driven modelling of PVT collectors could be investigated. The correlation of wind related losses to horizontal wind measurements could be compared to a model with wind measurements in the collector plane. The dataset could support the validation of solar models, with direct and diffuse shares on the horizontal or in the tilted plane. [Duck Duck Go](https://duckduckgo.com)
      43  21