Department of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA.
Department of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA; Singh Center for Nanotechnology, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA; General Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA.
STAR Protoc. 2024 Mar 15;5(1):102833. doi: 10.1016/j.xpro.2023.102833. Epub 2024 Jan 26.
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..
改进水生环境中的太阳能收集可实现更优的环境监测。然而，开发水下太阳能电池具有挑战性，因为评估通常需要在野外或大型水箱中进行，这些水箱可以模拟水生光照条件。在这里，我们提出了一种使用基于发光二极管 (LED) 的特性描述技术来测试水下太阳能电池的方案，该技术可在典型的实验室环境中使用。我们描述了安装和运行 Python 代码、将 LED 与辐照度匹配、特性描述水下太阳能电池以及计算水下太阳能电池效率的步骤。有关该方案使用和执行的完整详细信息，请参考 Röhr 等人的研究。
