Determining photovoltaic module performance and comparisons

BildiriAçık Erişim
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • SDG 13 · İklim Eylemi

Özet

Knowing electricity production potential of a photovoltaic (PV) system prior to installation is very beneficial for the investor to see the feasibility of the investment. There are three procedures that can be followed to calculate the potential electricity production of any system under different conditions. These are installation of sample systems and gathering data over time, the use of some databases/software programs to reach the performances and developing new model/methodology to make these estimations. It is obvious that installation of PV systems everywhere is neither technically nor economically conceivable. On the other hand, global software programs may not reflect local conditions to calculations. Consequently, there is a need to develop methodology that is able to derive location specific equations and coefficients and make accurate estimations. Its accuracy can be controlled by validating the results for some locations with the measured values from already installed PV power plants (PV PP). So, in this study we initially develop a methodology to calculate efficiency and electricity production performance of some modules for Ankara and compare the results with the measured values owing to the system installed on the roof of the Middle East Technical University Solar Energy Research Center (METU GUNAM) in Ankara/Turkey. The methodology initially calculates solar irradiation falling on the modules that is the input. Then the performance of the module is calculated by using developed methodology. There are also some online software programs to calculate the performances, such as EU PVGIS and PV WATTS. We analyzed and used these software programs and compare their results with the results of newly developed methodology. As proven through mean-bias error (MBE), root-mean-square error (RMSE) and mean absolute error (MAE) statistical comparison methods, the methodology of this study has given the most accurate results.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/12935Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1109/pvcon.2018.8523868Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorKaraveli, Abdullah Bugrahan
dc.contributor.authorOzden, Talat
dc.contributor.authorAkinoglu, Bulent G.
dc.contributor.otherIEEE
dc.date.accessioned2026-10-22T10:20:43.212874427Z
dc.date.available2026-10-22T10:20:43.212874427Z
dc.date.issued2018
dc.description.abstractKnowing electricity production potential of a photovoltaic (PV) system prior to installation is very beneficial for the investor to see the feasibility of the investment. There are three procedures that can be followed to calculate the potential electricity production of any system under different conditions. These are installation of sample systems and gathering data over time, the use of some databases/software programs to reach the performances and developing new model/methodology to make these estimations. It is obvious that installation of PV systems everywhere is neither technically nor economically conceivable. On the other hand, global software programs may not reflect local conditions to calculations. Consequently, there is a need to develop methodology that is able to derive location specific equations and coefficients and make accurate estimations. Its accuracy can be controlled by validating the results for some locations with the measured values from already installed PV power plants (PV PP). So, in this study we initially develop a methodology to calculate efficiency and electricity production performance of some modules for Ankara and compare the results with the measured values owing to the system installed on the roof of the Middle East Technical University Solar Energy Research Center (METU GUNAM) in Ankara/Turkey. The methodology initially calculates solar irradiation falling on the modules that is the input. Then the performance of the module is calculated by using developed methodology. There are also some online software programs to calculate the performances, such as EU PVGIS and PV WATTS. We analyzed and used these software programs and compare their results with the results of newly developed methodology. As proven through mean-bias error (MBE), root-mean-square error (RMSE) and mean absolute error (MAE) statistical comparison methods, the methodology of this study has given the most accurate results.
dc.identifier.articlenumber8523868
dc.identifier.doi10.1109/pvcon.2018.8523868
dc.identifier.isbn978-153867538-0
dc.identifier.scopus2-s2.0-85058231055
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/12935
dc.identifier.wosWOS:000519584300001
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.conference2018 International Conference on Photovoltaic Science and Technologies, PVCon 2018
dc.relation.ispartofPVCon 2018 - International Conference on Photovoltaic Science and Technologies
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectmodule performance
dc.subjectoutdoor testing
dc.subjectphotovoltaic modules
dc.subjectsoftware
dc.subjectsolar irradiation
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEngineering, Electrical & Electronic
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEngineering
dc.subject.otherComputer software
dc.subject.otherElectric power generation
dc.subject.otherErrors
dc.subject.otherInvestments
dc.subject.otherIrradiation
dc.subject.otherMean square error
dc.subject.otherPhotovoltaic cells
dc.subject.otherSoftware testing
dc.subject.otherSolar energy
dc.subject.otherSolar radiation
dc.subject.otherEnergy research centers
dc.subject.otherMiddle East Technical University
dc.subject.otherModule performance
dc.subject.otherOutdoor testing
dc.subject.otherPhotovoltaic modules
dc.subject.otherRoot mean square errors
dc.subject.otherSolar irradiation
dc.subject.otherStatistical comparisons
dc.subject.otherSolar power generation
dc.titleDetermining photovoltaic module performance and comparisons
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.openalex4
rdl.citation.scopus2
rdl.citation.wos0
rdl.conference.date4 July 2018 through 6 July 2018
rdl.conference.placeAnkara
rdl.oa.statusgreen
rdl.oa.statusclosed
rdl.oa.urlhttps://hdl.handle.net/11511/44597
rdl.sdgSDG07
rdl.sdgSDG09
rdl.sdgSDG13
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexConference Proceedings Citation Index - Science (CPCI-S)