Photovoltaic Testing for Energy Yield Predictions with Sensitivity to Spectral Shifts

Looney EE, Liu Z, Classen A, Buonassisi T, Peters IM (2020)


Publication Type: Conference contribution

Publication year: 2020

Journal

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

Abstract

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.

Involved external institutions

How to cite

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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