An Open-Source Python Library for Modeling LETID and LID in Silicon Solar Cells and Wafers

Joe Karas, Ingrid Repins

Research output: NRELPoster

Abstract

This poster demonstrates an (in development) open-source software library, written in python, to aid in modeling and understanding light- and elevated temperature-induced degradation (LETID) and boron-oxygen light-induced degradation (B-O LID) in silicon solar cells and wafers. We discuss the underlying equations and necessary input parameters for constructing realistic models. We demonstrate several use cases for the library, including modeling LETID progression in scenarios like indoor, accelerated tests and outdoor field deployment. We also demonstrate using the library to model B-O LID, and we demonstrate using the library to model degradation in passivated wafers, rather than solar cells.
Original languageAmerican English
StatePublished - 2023

Publication series

NamePresented at the 2023 Photovoltaic Reliability Workshop (PVRW), 28 February - 2 March 2023, Lakewood, Colorado

NREL Publication Number

  • NREL/PO-5K00-85436

Keywords

  • LETID
  • LID
  • light and elevated temperature-induced degradation
  • light-induced degradation
  • PV
  • reliability
  • silicon
  • solar

Fingerprint

Dive into the research topics of 'An Open-Source Python Library for Modeling LETID and LID in Silicon Solar Cells and Wafers'. Together they form a unique fingerprint.

Cite this