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  4. Insights into metastability of photovoltaic materials at the mesoscale through massive I-V analytics
 
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2016
Journal Article
Titel

Insights into metastability of photovoltaic materials at the mesoscale through massive I-V analytics

Abstract
The authors demonstrate the feasibility of quantifying cell-level performance heterogeneity from module-level I-V curves by determining conditions of bypass diode turn-on. Analysis of these curves falls outside of typical diode-based models of photovoltaic (PV) performance. The authors show that this approach can leverage statistical and machine learning techniques for broad application to massive datasets, and combine those insights with simulations and laboratory-based experiments to provide useful information into the metastability of the interfaces of a PV cell. The authors find good agreement between the experimentally determined curves and the simulated curves, which guide the variable selection in the massive dataset collected from sites in Cleveland, OH, USA, the Negev Desert, Israel, Isla Gran Canaria, Spain, and Mount Zugspitze, Germany.
Author(s)
Peshek, T.J.
Fada, J.S.
Hu, Y.
Xu, Y.
Elsaeiti, M.A.
Schnabel, E.
Köhl, M.
French, R.H.
Zeitschrift
Journal of vacuum science and technology B. Microelectronics and nanometer structures
DOI
10.1116/1.4960628
File(s)
N-422893.pdf (1.96 MB)
Language
English
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Fraunhofer-Institut für Solare Energiesysteme ISE
Tags
  • Solarthermie und Optik

  • Photovoltaik

  • Silicium-Photovoltaik

  • Feedstock

  • Kristallisation und Wafering

  • Photovoltaische Module und Kraftwerke

  • Modultechnologie

  • Gebrauchsdauer- und Schadensanalyse

  • Photovoltaische Kraftwerke

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