Experimental evaluation and numerical modelling of the quality of photovoltaic modules

All over the world a rapid increase in demand for photovoltaic system installations has generated an outstanding growth in production numbers in the manufacturing facilities of photovoltaic (PV) systems. Production companies are facing challenges in providing the best quality along with rising manuf...

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Autores principales: Kristo Karjust, Jüri Majak, Pavel Tšukrejev
Formato: article
Lenguaje:EN
Publicado: Estonian Academy Publishers 2021
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Acceso en línea:https://doaj.org/article/efea7cb248dd4425a9af3da879a5f8fa
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spelling oai:doaj.org-article:efea7cb248dd4425a9af3da879a5f8fa2021-11-17T17:48:21ZExperimental evaluation and numerical modelling of the quality of photovoltaic modules1736-60461736-753010.3176/proc.2021.4.15https://doaj.org/article/efea7cb248dd4425a9af3da879a5f8fa2021-11-01T00:00:00Zhttps://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-477-483_20211109151455.pdfhttps://doaj.org/toc/1736-6046https://doaj.org/toc/1736-7530All over the world a rapid increase in demand for photovoltaic system installations has generated an outstanding growth in production numbers in the manufacturing facilities of photovoltaic (PV) systems. Production companies are facing challenges in providing the best quality along with rising manufacturing quantities. Due to the underlying technology not all the quality decisions can be made in real time. This research is focused on the development of experimental study and mathematical modelling of the quality control parameters for PV modules, which could only be tested during chemical processes and not be monitored constantly by operators at the production line.Kristo KarjustJüri MajakPavel TšukrejevEstonian Academy Publishersarticleproduction monitoringphotovoltaic moduleshaar waveletsartificial neural network.ScienceQENProceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 477-483 (2021)
institution DOAJ
collection DOAJ
language EN
topic production monitoring
photovoltaic modules
haar wavelets
artificial neural network.
Science
Q
spellingShingle production monitoring
photovoltaic modules
haar wavelets
artificial neural network.
Science
Q
Kristo Karjust
Jüri Majak
Pavel Tšukrejev
Experimental evaluation and numerical modelling of the quality of photovoltaic modules
description All over the world a rapid increase in demand for photovoltaic system installations has generated an outstanding growth in production numbers in the manufacturing facilities of photovoltaic (PV) systems. Production companies are facing challenges in providing the best quality along with rising manufacturing quantities. Due to the underlying technology not all the quality decisions can be made in real time. This research is focused on the development of experimental study and mathematical modelling of the quality control parameters for PV modules, which could only be tested during chemical processes and not be monitored constantly by operators at the production line.
format article
author Kristo Karjust
Jüri Majak
Pavel Tšukrejev
author_facet Kristo Karjust
Jüri Majak
Pavel Tšukrejev
author_sort Kristo Karjust
title Experimental evaluation and numerical modelling of the quality of photovoltaic modules
title_short Experimental evaluation and numerical modelling of the quality of photovoltaic modules
title_full Experimental evaluation and numerical modelling of the quality of photovoltaic modules
title_fullStr Experimental evaluation and numerical modelling of the quality of photovoltaic modules
title_full_unstemmed Experimental evaluation and numerical modelling of the quality of photovoltaic modules
title_sort experimental evaluation and numerical modelling of the quality of photovoltaic modules
publisher Estonian Academy Publishers
publishDate 2021
url https://doaj.org/article/efea7cb248dd4425a9af3da879a5f8fa
work_keys_str_mv AT kristokarjust experimentalevaluationandnumericalmodellingofthequalityofphotovoltaicmodules
AT jurimajak experimentalevaluationandnumericalmodellingofthequalityofphotovoltaicmodules
AT paveltsukrejev experimentalevaluationandnumericalmodellingofthequalityofphotovoltaicmodules
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