Photovoltaic energy yield predictions using satellite data
Peters IM, Liu Haohui , Buonassisi T (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: SPIE
Book Volume: 11366
Conference Proceedings Title: Proceedings of SPIE - The International Society for Optical Engineering
Event location: None, FRA
ISBN: 9781510635043
DOI: 10.1117/12.2557375
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.
Involved external institutions
Forschungszentrum Jülich / Research Centre Jülich (FZJ)
Germany (DE)
Solar Energy Research Institute Singapore SERIS
Singapore (SG)
Massachusetts Institute of Technology (MIT)
United States (USA) (US)
Germany (DE)
Solar Energy Research Institute Singapore SERIS
Singapore (SG)
Massachusetts Institute of Technology (MIT)
United States (USA) (US)
How to cite
APA:
Peters, I.M., Liu Haohui, ., & Buonassisi, T. (2020). Photovoltaic energy yield predictions using satellite data. In Alexander N. Sprafke, Jan Christoph Goldschmidt, Gregory Pandraud (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. None, FRA: SPIE.
MLA:
Peters, Ian Marius, Liu Haohui, and Tonio Buonassisi. "Photovoltaic energy yield predictions using satellite data." Proceedings of the Photonics for Solar Energy Systems VIII 2020, None, FRA Ed. Alexander N. Sprafke, Jan Christoph Goldschmidt, Gregory Pandraud, SPIE, 2020.
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