Published July 15, 2016 | Version v1
Journal article

Comparison of different technologies for solar PV (Photovoltaic) outdoor performance using indoor accelerated aging tests for long term reliability

Description

This paper presents comprehensive study on performance comparison of different photovoltaic technologies, when subjected to five distinct proportions of temperature and humidity in a controlled environment under biasing conditions. The study considers five different PV (Photovoltaic) technologies (Mono, Multi, a-Si, CdTe, CIGS) based on their electrical parameters. It is observed that CIGS (Copper Indium Gallium Selenide) performs with best efficiency at 60 °C, 60% RH (relative humidity) while CdTe performs with best efficiency at 85 °C, 85% RH. The descriptive statistics shows that the largest possible Variance in Maximum Power of a-Si out of all available technologies is about 20.85 whereas the lowest noted in Mono C-Si is 0.917. The variability of data is further checked using Analysis of Variance tool. Finally the study establishes the performance dominance of C-Si (Mono) technology over all the thin film technologies based on stress tests and evaluation through the repeated measurement of maximum Power, module efficiency and cell efficiency. - Highlights: • Performance Analysis related to different technologies to different ranges of temperature and humidity. • Descriptive Statistics used to have information of variability of data. • Graphical Analysis of groups of numerical data through their quartiles by box and whisker plots. • Reconfirmation of checking the variability of data using ANOVA. • Inference drawn for the order of performance of each technology after applying indoor rigorous tests.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2016.04.054

Additional details

Identifiers

DOI
10.1016/j.energy.2016.04.054;
PII
S0360-5442(16)30460-1;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
107
Journal Page Range
p. 550-561
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.