Photovoltaic energy yield predictions using satellite data
Name
1136609.pdf
Description
Published version
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723.94 KB
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Checksum (MD5)
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Author(s)
Peters, Ian Marius
Liu, Haohui
Buonassisi, Anthony
Date Issued
2020
Journal
Proceedings of SPIE - The International Society for Optical Engineering
Publisher
SPIE-Intl Soc Optical Eng
Citation
Peters, Ian Marius, Liu, Haohui and Buonassisi, Tonio. 2020. "Photovoltaic energy yield predictions using satellite data." Proceedings of SPIE - The International Society for Optical Engineering, 11366.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1117/12.2557375
