@inproceedings{c77d3addeb854089b9d6d1b3aa973bcc,
title = "Prediction and validation of solar cell-to-module and environmental losses based on refractive index data for various encapsulation materials",
abstract = "Updated complex refractive index data (n and κ) are compiled for various commercial and research solar module encapsulants. The data are used as inputs to ray-tracing simulations to predict CTM loss for standard screen print solar modules and compared to calculations of CTM loss from actual IV and EQE measurements made at the cell and module levels. It is found that this method results in adequate predictions, with encapsulant low-wavelength cutoff the most important characteristic for minimizing CTM current loss. The n and κ are also used to predict CTM current loss following damp-heat cycling of modules.",
author = "Shiwen Zhang and Nitin Nampalli and Payne, {David N.} and Alexander Slade and Edwards, {Matthew B.}",
year = "2018",
doi = "10.1109/PVSC.2018.8547715",
language = "English",
isbn = "9781538685303",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "660--663",
booktitle = "2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC)",
address = "United States",
note = "7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 ; Conference date: 10-06-2018 Through 15-06-2018",
}