Parameter optimisation of individual cells through voltage dependent electroluminescence of an experimental silicon module

Dix-Peek, Ross M.; Kwembur, Isaac M.; van Dyk, Ernest E.; Vorster, Frederik J.; Pretorius, Christiaan J.

dc.contributor.author	Dix-Peek, Ross M.
dc.contributor.author	Kwembur, Isaac M.
dc.contributor.author	van Dyk, Ernest E.
dc.contributor.author	Vorster, Frederik J.
dc.contributor.author	Pretorius, Christiaan J.
dc.date.accessioned	2022-01-13T06:41:23Z
dc.date.available	2022-01-13T06:41:23Z
dc.date.issued	2018-06
dc.identifier.citation	Southern African solar Energy Conference (SASEC)	en_US
dc.identifier.uri	978-0-7972-1825-2
dc.identifier.uri	https://www.sasec.org.za/full_papers/32.pdf
dc.identifier.uri	http://repository.seku.ac.ke/handle/123456789/6672
dc.description.abstract	This 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.iso	en	en_US
dc.subject	Genetic Algorithm	en_US
dc.subject	Parameter Optimisation	en_US
dc.subject	IV curve	en_US
dc.subject	Electroluminescence	en_US
dc.title	Parameter optimisation of individual cells through voltage dependent electroluminescence of an experimental silicon module	en_US
dc.type	Presentation	en_US