2016
DOI: 10.1016/j.energy.2015.12.054
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Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure

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Cited by 59 publications
(32 citation statements)
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“…The minimum value of I sc in the worst winter months is approximately 12% less than the peak value of this parameter for the a-Si/μc-Si solar cells. This reduction is very small compared to the observed on a-Si PV modules in outdoor conditions of work at the same location [Kichou et al, 2016]. The reduction of R sh in TF solar cells under outdoor exposure for long periods of time has been previously reported [Radue and van Dyk, 2010;van Dyk and Meyer, 2004].…”
Section: Evolution Of Solar Cell Model Parametersmentioning
confidence: 71%
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“…The minimum value of I sc in the worst winter months is approximately 12% less than the peak value of this parameter for the a-Si/μc-Si solar cells. This reduction is very small compared to the observed on a-Si PV modules in outdoor conditions of work at the same location [Kichou et al, 2016]. The reduction of R sh in TF solar cells under outdoor exposure for long periods of time has been previously reported [Radue and van Dyk, 2010;van Dyk and Meyer, 2004].…”
Section: Evolution Of Solar Cell Model Parametersmentioning
confidence: 71%
“…The parameter extraction technique used in this study is the same used in [Kichou et al, 2016], where the monitored data: Current, Voltage and Power at the DC output of the PV array together with the in-plane irradiance (G) and cell temperature (T c ) profiles, are used as inputs for the parameter extraction algorithm in order to estimate the set of model parameters of the solar cells forming the PV array.…”
Section: Pv Array Model and Parameter Extractionmentioning
confidence: 99%
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“…Thin-film PV modules have higher degradation rates than polycrystalline or crystalline silicon modules. Their behavior and degradation patterns in Jaen, Spain, a dry and sunny inland site with a continental-Mediterranean climate, were analyzed by Kichou et al [4] from July 2011 to October 2014. They used the least squares method and linear regression.…”
Section: Introductionmentioning
confidence: 99%
“…The use of meteorological data will be used in order to analyse the behaviour of the photovoltaic devices before and afterwards its installation. This data will be used before the installation is sited, if the behaviour of the systems in particular conditions is simulated [18], otherwise the data will be used afterwards if some aspects are approached, such as the degradation suffered by the photovoltaic devices with the passing of time [19], or the behaviour of different technologies in different meteorological conditions [20][21][22].…”
Section: Databases To Obtain the Design Parameters Of Photovoltaic Symentioning
confidence: 99%