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dc.contributor.authorKaraveli, Abdullah Bugrahan
dc.contributor.authorOzden, Talat
dc.contributor.authorAkinoglu, Bulent G.
dc.date.accessioned2021-11-09T19:48:51Z
dc.date.available2021-11-09T19:48:51Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-7538-0
dc.identifier.urihttps://hdl.handle.net/20.500.12440/3835
dc.descriptionInternational Conference on Photovoltaic Technologies (PVCon) -- JUL 04-06, 2018 -- Middle E Tech Univ, Culture & Convent Ctr, Ankara, TURKEYen_US
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.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 International Conference on Photovoltaic Science and Technologies (Pvcon)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectphotovoltaic modulesen_US
dc.subjectoutdoor testingen_US
dc.subjectmodule performanceen_US
dc.subjectsolar irradiationen_US
dc.subjectsoftwareen_US
dc.titleDetermining Photovoltaic Module Performance and Comparisonsen_US
dc.typeconferenceObjecten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.description.wospublicationidWOS:000519584300001en_US
dc.description.scopuspublicationid2-s2.0-85058231055en_US
dc.departmentGümüşhane Üniversitesien_US
dc.authorwosidOZDEN, Talat / ABH-1750-2020
dc.authorscopusid56578776300
dc.authorscopusid36976213500
dc.authorscopusid6602089703


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