2013
DOI: 10.1016/j.apenergy.2012.06.036
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A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data

Abstract: Only few manufactures provide the wide set of graphical data that are necessary to use high performance predictive tools for PV systems. On the other hand, reliable graphical data require accurate laboratory measurements that increase manufacturing costs. For this reason PV system designers have to choose between the use of cheap PV modules, lacking in technical data, and the reliable energy predictions that are possible only if the current–voltage characteristics are provided by the PV module manufacturers.\u… Show more

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Cited by 216 publications
(132 citation statements)
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“…With regard to the practical use of these parameters, empirical methods to estimate them have been recently developed for photovoltaic arrays [47].…”
Section: )mentioning
confidence: 99%
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“…With regard to the practical use of these parameters, empirical methods to estimate them have been recently developed for photovoltaic arrays [47].…”
Section: )mentioning
confidence: 99%
“…instead of the ideality factor, a. Following the empirical procedure described by Orioli and Di Gangi (2013), the slopes of the I-V curve at the open circuit and short circuit points are [47]: …”
Section: Tablementioning
confidence: 99%
“…Increasing temperature decreases the open-circuit voltage. This effect simultaneously increases the short-circuit current (Orioli, Di Gangi 2013; Barukcic et al 2014; Baig et al 2015). The efficiency of the photovoltaic energy conversion thus decreases with the increasing temperature (Karatepe et al 2007).…”
mentioning
confidence: 99%
“…At this time, a variety of methods are available for parameter estimation of these two electrical models. Some attempts in this field are focused on using classical analytical and numerical methods for parameter estimation based on minimization of a suitably chosen cost function [1,[5][6][7][8][9][10]. The main drawback of such classical methods is the high probability of falling in local optimums, besides the complexity of calculations.…”
Section: Introductionmentioning
confidence: 99%