Your browser doesn't support javascript.
loading
LED-based characterization of solar cells for underwater applications.
Zhang, Alice; Sartor, B Edward; Röhr, Jason A; Taylor, André D.
Affiliation
  • Zhang A; Department of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA.
  • Sartor BE; Department of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA.
  • Röhr JA; 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
  • Taylor AD; Department of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA. Electronic address: andre.taylor@nyu.edu.
STAR Protoc ; 5(1): 102833, 2024 Mar 15.
Article in En | MEDLINE | ID: mdl-38280200
ABSTRACT
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solar Energy Language: En Journal: STAR Protoc Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solar Energy Language: En Journal: STAR Protoc Year: 2024 Document type: Article Affiliation country: Country of publication: