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Inschlag, Franz
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Official Name
Inschlag, Franz
Main Affiliation
Akademische Titel
DI, BSc
Email
franz.inschlag@fh-burgenland.at
Scopus Author ID
57211146125
Status
staff
Research Outputs
Now showing 1 - 1 of 1
- ProductMeasurement dataset from real operation of a hybrid photovoltaic-thermal solar collectors, used for the development of a data-driven model(2023-06-21)
; ; ; 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.2023.113277.214 98