Comparison of different technologies for solar PV (Photovoltaic) outdoor performance using indoor accelerated aging tests for long term reliability. (15th July 2016)

• Record Type: Journal Article
• Authors: Siddiqui, Rahnuma; Kumar, Rajesh; Jha, Gopal Kumar; Gowri, Ganesh; Morampudi, Manoj; Rajput, Pragati; Lata, Sneh; Agariya, Swati; Dubey, Bharat; Nanda, Gayatri; Raghava, Sykam Sahan
• Is Part Of: Energy. Volume 107(2016)
• Page Start: 550
• Page End: 561
• Publication Date: 2016-07-15
• Subjects: Photovoltaic technologies -- Accelerated aging -- Environmental testing -- ANOVA -- Degradation; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2016.04.054
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: 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.