Looney EE, Liu Z, Classen A, Buonassisi T, Peters IM (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2020-June
Pages Range: 2313-2315
Conference Proceedings Title: Conference Record of the IEEE Photovoltaic Specialists Conference
Event location: Calgary, OR, CAN
ISBN: 9781728161150
DOI: 10.1109/PVSC45281.2020.9300625
Solar spectra change depending on location, weather, and time of day around the world. These spectral variations affect the performance of photovoltaic (PV) cells and modules and are not captured by standard testing procedures. We introduce a method to classify spectra and use this classification to develop a testing procedure to reproduce spectral conditions of locations within various climate zones. With LED solar simulators becoming commercially available and representative sets of outdoor spectra found, the gap between real world outdoor testing and indoor testing is closing. With LED-based testing of CdTe, Si, and GaAs PV cells, we show that the effects of spectral shifts on short circuit current are captured, demonstrating the potential use of this method for more accurate testing of solar modules indoors.
APA:
Looney, E.E., Liu, Z., Classen, A., Buonassisi, T., & Peters, I.M. (2020). Photovoltaic Testing for Energy Yield Predictions with Sensitivity to Spectral Shifts. In Conference Record of the IEEE Photovoltaic Specialists Conference (pp. 2313-2315). Calgary, OR, CAN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Looney, Erin E., et al. "Photovoltaic Testing for Energy Yield Predictions with Sensitivity to Spectral Shifts." Proceedings of the 47th IEEE Photovoltaic Specialists Conference, PVSC 2020, Calgary, OR, CAN Institute of Electrical and Electronics Engineers Inc., 2020. 2313-2315.
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