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contributor authorG. Nofuentes
contributor authorM. Fuentes
contributor authorJ. Aguilera
contributor authorJ. V. Muñoz
date accessioned2017-05-09T00:35:19Z
date available2017-05-09T00:35:19Z
date copyrightAugust, 2009
date issued2009
identifier issn0199-6231
identifier otherJSEEDO-28421#031013_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/141917
description abstractPredicting both copper indium diselenide (CIS) module and generator performance outdoors is a crucial issue for designers and installers who use this technology. Three simple methods addressed to predict the behavior of two modules of this technology in a sunny climate have been empirically tried. A 12-month test and measurement campaign carried out using two calibrated CIS photovoltaic (PV) modules in the city of Jaén (Spain, latitude 38°N, longitude 3°W) has provided the necessary empirical data. Results show that the electric behavior of these CIS PV modules may be described with adequate accuracy—for PV engineering in sunny sites—assuming the fill factor remains constant through operation while short-circuit current and open circuit voltage vary linearly with incident global irradiance and cell temperature, respectively. Further, degradation has been of no concern—otherwise, this would have invalidated the above conclusions—as it stems from the small difference between the results of the initial calibration and those of a recalibration of the modules after their outdoor exposure. Additionally, high values of the module performance ratio lead to the same conclusion.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Assessment on Simple Modeling Approaches to the Electric Behavior of Two CIS PV Modules in a Sunny Climate
typeJournal Paper
journal volume131
journal issue3
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.3142800
journal fristpage31013
identifier eissn1528-8986
keywordsMeasurement
keywordsSound transmission class
keywordsModeling
keywordsCalibration
keywordsCircuits
keywordsClimate
keywordsTemperature
keywordsElectric potential
keywordsUncertainty
keywordsMeasurement systems
keywordsStatistical analysis
keywordsCopper AND Generators
treeJournal of Solar Energy Engineering:;2009:;volume( 131 ):;issue: 003
contenttypeFulltext


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