LED-based characterization of solar cells for underwater applications

Improved solar energy harvesting in aquatic environments would allow for superior environmental monitoring. However, developing underwater solar cells is challenging as evaluation typically requires deployment in the field or in large water tanks that can simulate aquatic light conditions. Here, we...

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Veröffentlicht in:STAR protocols 2024-03, Vol.5 (1), p.102833-102833, Article 102833
Hauptverfasser: Zhang, Alice, Sartor, B. Edward, Röhr, Jason A., Taylor, André D.
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Sprache:eng
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Zusammenfassung:Improved solar energy harvesting in aquatic environments would allow for superior environmental monitoring. However, developing underwater solar cells is challenging as evaluation typically requires deployment in the field or in large water tanks that can simulate aquatic light conditions. Here, we present a protocol to test underwater solar cells using a light-emitting diode (LED)-based characterization technique usable in a typical laboratory setting. We describe steps for installing and running Python code, matching LEDs to irradiance, characterizing underwater solar cells, and calculating underwater solar cell efficiency. For complete details on the use and execution of this protocol, please refer to Röhr et al.1 [Display omitted] •Protocol for characterizing underwater solar cells in a laboratory setting•Underwater solar irradiance is replicated using an LED solar simulator•Improved characterization accuracy using a spectral mismatch factor Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Improved solar energy harvesting in aquatic environments would allow for superior environmental monitoring. However, developing underwater solar cells is challenging as evaluation typically requires deployment in the field or in large water tanks that can simulate aquatic light conditions. Here, we present a protocol to test underwater solar cells using a light-emitting diode (LED)-based characterization technique usable in a typical laboratory setting. We describe steps for installing and running Python code, matching LEDs to irradiance, characterizing underwater solar cells, and calculating underwater solar cell efficiency.
ISSN:2666-1667
2666-1667
DOI:10.1016/j.xpro.2023.102833