Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/6672
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dc.contributor.authorDix-Peek, Ross M.-
dc.contributor.authorKwembur, Isaac M.-
dc.contributor.authorvan Dyk, Ernest E.-
dc.contributor.authorVorster, Frederik J.-
dc.contributor.authorPretorius, Christiaan J.-
dc.date.accessioned2022-01-13T06:41:23Z-
dc.date.available2022-01-13T06:41:23Z-
dc.date.issued2018-06-
dc.identifier.citationSouthern African solar Energy Conference (SASEC)en_US
dc.identifier.uri978-0-7972-1825-2-
dc.identifier.urihttps://www.sasec.org.za/full_papers/32.pdf-
dc.identifier.urihttp://repository.seku.ac.ke/handle/123456789/6672-
dc.description.abstractThis paper outlines a method which can be used to nondestructively characterise individual Photovoltaic (PV) cell Current-Voltage (IV) data for cells encapsulated within a module. In this study a Genetic Algorithm (GA) for the Parameter Optimisation (PA) is used to determine the electrical parameters of individual PV cells within a module using voltage dependent Electroluminescence (EL) data in conjunction with dark (current voltage) IV data of the module. This is the first step in studying the deconvolution of the IV curve of a module.en_US
dc.language.isoenen_US
dc.subjectGenetic Algorithmen_US
dc.subjectParameter Optimisationen_US
dc.subjectIV curveen_US
dc.subjectElectroluminescenceen_US
dc.titleParameter optimisation of individual cells through voltage dependent electroluminescence of an experimental silicon moduleen_US
dc.typePresentationen_US
Appears in Collections:School of Science and Computing (CS)



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