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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Energy yield prediction of a bifacial PV system with a miniaturized test array
Autor/-in: Nussbaumer, Hartmut
Klenk, Markus
Morf, Marco
Nicolas, Keller
DOI: 10.1016/j.solener.2018.12.042
10.21256/zhaw-14510
Erschienen in: Solar Energy
Band(Heft): 179
Seite(n): 316
Seiten bis: 325
Erscheinungsdatum: 2019
Verlag / Hrsg. Institution: Elsevier
ISSN: 0038-092X
1471-1257
Sprache: Englisch
Fachgebiet (DDC): 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik
Zusammenfassung: Because of the sensitivity on multiple additional factors, compared to monofacial standard installations, the simulation and prediction of a bifacial PV arrays yield is by far more complicated and less reliable. Accordingly, the determination of optimized installation conditions is considerably less straightforward for bifacial installations. Due to the pronounced dependencies also the assignability of otherwise applied installation conditions to similar systems is limited. Because of the low accuracy of the traditional approaches to predict the bifacial system output the use of a miniaturized test rig might be an interesting option. Provided that the results can be assigned to measurements at real systems it can be used as a cheap and flexible testing device. Miniaturized devices could be used in long-term trials for yield measurements at specific locations, to identify optimum installation conditions or to validate simulation algorithms. Running several test rigs with different configurations in parallel would enable a direct comparison. The small size of a miniaturized rig also allows a fast change of the set-up, which is an interesting feature to test the respective impact at otherwise almost unchanged conditions in short-term tests. In this paper we report on a test device which is a miniaturized (1:12) replica of an existing PV array with commercial bifacial modules. The measurement data of both systems are compared in order to investigate if there is a clear assignability. A unique feature of the large test field, a permanent and automated variation of the tilt angle, is also transferred to the miniaturized version. Accordingly, the whole tilt angle range is tested and potential tilt angle dependent effects are revealed. Based on the obtained data we give an estimation of the error in the prediction accuracy and discuss options for possible improvements.
URI: https://digitalcollection.zhaw.ch/handle/11475/14510
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): CC BY-NC-ND 4.0: Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Gesperrt bis: 2021-02-01
Departement: School of Engineering
Organisationseinheit: Institut für Energiesysteme und Fluid-Engineering (IEFE)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Nussbaumer, H., Klenk, M., Morf, M., & Nicolas, K. (2019). Energy yield prediction of a bifacial PV system with a miniaturized test array. Solar Energy, 179, 316–325. https://doi.org/10.1016/j.solener.2018.12.042
Nussbaumer, H. et al. (2019) ‘Energy yield prediction of a bifacial PV system with a miniaturized test array’, Solar Energy, 179, pp. 316–325. Available at: https://doi.org/10.1016/j.solener.2018.12.042.
H. Nussbaumer, M. Klenk, M. Morf, and K. Nicolas, “Energy yield prediction of a bifacial PV system with a miniaturized test array,” Solar Energy, vol. 179, pp. 316–325, 2019, doi: 10.1016/j.solener.2018.12.042.
NUSSBAUMER, Hartmut, Markus KLENK, Marco MORF und Keller NICOLAS, 2019. Energy yield prediction of a bifacial PV system with a miniaturized test array. Solar Energy. 2019. Bd. 179, S. 316–325. DOI 10.1016/j.solener.2018.12.042
Nussbaumer, Hartmut, Markus Klenk, Marco Morf, and Keller Nicolas. 2019. “Energy Yield Prediction of a Bifacial PV System with a Miniaturized Test Array.” Solar Energy 179: 316–25. https://doi.org/10.1016/j.solener.2018.12.042.
Nussbaumer, Hartmut, et al. “Energy Yield Prediction of a Bifacial PV System with a Miniaturized Test Array.” Solar Energy, vol. 179, 2019, pp. 316–25, https://doi.org/10.1016/j.solener.2018.12.042.


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