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Proceedings ArticleDOI

Testing and analysis for lifetime prediction of crystalline silicon PV modules undergoing degradation by system voltage stress

TLDR
In this article, a lognormal analysis is applied to the accelerated lifetime test data, considering failure at 80% of the initial module power, and the probability of module failure at an arbitrary temperature is predicted.
Abstract
Acceleration factors are calculated for crystalline silicon photovoltaic modules under system voltage stress by comparing the module power during degradation outdoors with that in accelerated testing at three temperatures and 85% relative humidity. A lognormal analysis is applied to the accelerated lifetime test data, considering failure at 80% of the initial module power. Activation energy of 0.73 eV for the rate of failure is determined for the chamber testing at constant relative humidity, and the probability of module failure at an arbitrary temperature is predicted. To obtain statistical data for multiple modules over the course of degradation in situ of the test chamber, dark I–V measurements are obtained and transformed using superposition, which is found to be well suited for rapid and quantitative evaluation of potential-induced degradation. It is determined that shunt resistance measurements alone do not represent the extent of power degradation. This is explained with a two-diode model analysis that shows an increasing second diode recombination current and ideality factor as the degradation in module power progresses. Failure modes of the modules stressed outdoors are examined and compared with those stressed in accelerated tests.

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Citations
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Review of Failures of Photovoltaic Modules

TL;DR: The international Task 13 expert team has summarized the literature as well as their knowledge and personal experiences on actual failures of PV modules, and introduces a signal transition method for the detection of defective circuits in installed PV modules.
Journal ArticleDOI

Review of photovoltaic degradation rate methodologies

TL;DR: In this article, a review of the degradation rate of photovoltaic (PV) technologies is presented, and four major statistical analysis methods are recognized for calculating degradation rates: (1) Linear Regression (LR), (2) Classical Seasonal Decomposition (CSD), (3) AutoRegressive Integrated Moving Average (ARIMA), (4) LOcally wEighted Scatterplot Smoothing (LOESS), with LR being the most common.
Journal ArticleDOI

Recent advances in single-phase transformerless photovoltaic inverters

TL;DR: In this article, the main challenges facing grid-connected photovoltaic power systems without galvanic isolation are described, and a review of the state-of-the-art of single-phase systems is carried out.
Journal ArticleDOI

A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel

TL;DR: Analysis of the single-diode model of photovoltaic (PV) generators operating in outdoor conditions shows that all the parameters need to be adjusted with respect to the environmental conditions to reduce the errors in the current, power and energy predictions.
Journal ArticleDOI

Annual degradation rates of recent crystalline silicon photovoltaic modules

TL;DR: In this paper, the authors investigated the quality of six types of recent crystalline silicon PV modules to study the viability of PV systems as dispersed power generation systems under operating conditions connected to an electric power grid.
References
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Journal ArticleDOI

Series resistance effects on solar cell measurements

TL;DR: In this article, the effect of series resistance on the photovoltaic output and the p-n junction characteristics of solar energy converter cells is investigated. But, as shown in Figure 1, this method requires two translations of the coordinate system and requires only the knowledge of the series resistance and the difference in light intensity or short circuit currents.
Journal ArticleDOI

Encapsulation of PV modules using ethylene vinyl acetate copolymer as a pottant: A critical review

TL;DR: In this article, the authors review the literature about what is and is not known about using ethylene vinyl acetate (EVA0 copolymer) as the encapsulant material in photovoltaic (PV) modules.
Proceedings ArticleDOI

Potential Induced Degradation of solar cells and panels

TL;DR: In this paper, a test setup is presented for simulation of the potential induced degradation (PID) in the lab and the influence of cell properties on PID is demonstrated in order to reveal the cell being the precondition for the PID.
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