AN EXTENDED ANALYSIS OF THE MODELS TO ESTIMATE PHOTOVOLTAIC MODULE TEMPERATURE

MakaleAçık Erişim
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 13 · İklim Eylemi

Özet

To estimate the performance of the photovoltaic power systems is the key issue in their techno-economic feasibility analysis. Performances, on the other hand, strongly depends on the module temperatures of the photovoltaic systems. In this study, we evaluated the performance of ten different module temperature estimation models using the measured outdoor data of five different modules. The modules are installed at the rooftop of a building located at Central Anatolia where the climate is cold and semi-arid. The results showed that the models having smaller number of parameters perform better than the others. We concluded that such analysis should be carried out at different ambient conditions so that the best performing models for the site can be obtained. Another outcome of the study is that the seasonal evaluation of the performance of the models should be carried out.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/12904Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.31127/tuje.639378Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorOzden, Talat
dc.contributor.authorTolgay, Doga
dc.contributor.authorYakut, M. Samet
dc.contributor.authorAkinoglu, Bulent G.
dc.date.accessioned2026-10-22T10:20:41.412717733Z
dc.date.available2026-10-22T10:20:41.412717733Z
dc.date.issued2020
dc.description.abstractTo estimate the performance of the photovoltaic power systems is the key issue in their techno-economic feasibility analysis. Performances, on the other hand, strongly depends on the module temperatures of the photovoltaic systems. In this study, we evaluated the performance of ten different module temperature estimation models using the measured outdoor data of five different modules. The modules are installed at the rooftop of a building located at Central Anatolia where the climate is cold and semi-arid. The results showed that the models having smaller number of parameters perform better than the others. We concluded that such analysis should be carried out at different ambient conditions so that the best performing models for the site can be obtained. Another outcome of the study is that the seasonal evaluation of the performance of the models should be carried out.
dc.description.sponsorshipMinisterio de Fomento
dc.identifier.doi10.31127/tuje.639378
dc.identifier.endpage196
dc.identifier.issn2587-1366
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85123112620
dc.identifier.startpage183
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/12904
dc.identifier.volume4
dc.language.isoen
dc.publisherMurat Yakar
dc.relation.ispartofTurkish Journal of Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectModule Temperature
dc.subjectModule Temperature Estimation
dc.subjectModule Temperature Variation
dc.subjectPhotovoltaic Module
dc.titleAN EXTENDED ANALYSIS OF THE MODELS TO ESTIMATE PHOTOVOLTAIC MODULE TEMPERATURE
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex6
rdl.citation.scopus6
rdl.citation.trdizin1
rdl.oa.statusgold
rdl.oa.urlhttps://dergipark.org.tr/en/download/article-file/1032862
rdl.sdgSDG07
rdl.sdgSDG13
rdl.source.indexSCOPUS
rdl.source.indexTRDIZIN