Photovoltaic energy yield predictions using satellite data

Ian Marius Peters; Haohui Liu; Tonio Buonassisi

doi:10.1117/12.2557375

1 April 2020 Photovoltaic energy yield predictions using satellite data

Ian Marius Peters, Haohui Liu, Tonio Buonassisi

Proceedings Volume 11366, Photonics for Solar Energy Systems VIII; 1136609 (2020) https://doi.org/10.1117/12.2557375
Event: SPIE Photonics Europe, 2020, Online Only

Abstract

Energy yield is a key metric for evaluating the performance of photovoltaic systems. It describes the total amount of energy generated by a photovoltaic (PV) installation over a given period, typically a year, and depends on physical properties of the solar cell like efficiency, band gap and temperature coefficient, as well as the operating conditions in a given location. Because the response of a solar cell to these conditions varies, two photovoltaic technologies may have a different energy yield, even if their lab efficiency is identical. Predicting energy yield accurately is important to system operators and installers to estimate the technical and economic performance of a PV installation. In this paper, we summarize our findings about satellite based energy yield predictions of solar cells with various technologies.

Citation Download Citation

Ian Marius Peters, Haohui Liu, and Tonio Buonassisi "Photovoltaic energy yield predictions using satellite data", Proc. SPIE 11366, Photonics for Solar Energy Systems VIII, 1136609 (1 April 2020); https://doi.org/10.1117/12.2557375

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