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138477 |
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|a Peters, Ian Marius
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|a Liu, Haohui
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|a Buonassisi, Tonio
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|a Photovoltaic energy yield predictions using satellite data
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|b SPIE-Intl Soc Optical Eng,
|c 2021-12-14T19:12:39Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/138477
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|a 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.
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|a Article
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|t 10.1117/12.2557375
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| 773 |
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|t Proceedings of SPIE - The International Society for Optical Engineering
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