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dc.contributor.authorTuncel, Bilge
dc.contributor.authorOzden, Talat
dc.contributor.authorAkinoglu, Bulent G.
dc.contributor.authorBalog, Robert S.
dc.date.accessioned2021-11-09T19:49:31Z
dc.date.available2021-11-09T19:49:31Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-7538-0
dc.identifier.urihttps://hdl.handle.net/20.500.12440/4061
dc.descriptionInternational Conference on Photovoltaic Technologies (PVCon) -- JUL 04-06, 2018 -- Middle E Tech Univ, Culture & Convent Ctr, Ankara, TURKEYen_US
dc.description.abstractAnkara is in the Central Anatolia region of Turkey where the climate is dry-continental with an annual solar insolation of around 1750 kWh/m(2). In the transition to renewable energy, detailed analyses are required to ensure effective and economic utilization of the available solar resource. An essential part of these analyses is to calculate expected energy yield. For photovoltaic (PV) systems, this includes the effect of temperature on the PV efficiency, which determines the power yield of the PV modules. In this study, a first-principles thermal modeling approach is improved by adding the speed and direction of wind across the PV module into a forced convection term as well as including the temperature dependency of the module conversion efficiency. The analytical model is based on the principle of conservation of energy and uses meteorological data that are readily available from most state meteorological services. The mathematical analysis is suitable to predict the performance of a proposed PV installation without the time and expense of installing and monitoring a pilot system. The mathematical model is compared against measured data from the METU-GUNAM Outdoor Test Facility in Ankara to validate the methodology. Preliminary analyses showed that the model performs well especially during sunrise and sunsets shoulders of the diurnal cycle with a deviation of only a few W/m(2) for the electrical power yield and about 2 degrees C for the module temperature. However, these deviations could become as large as 12 W/m(2)and 8 degrees C at solar noon which suggests that the model still requires further improvement. In general, this error was found to be less that obtained by using basic explicit correlation methods and offers the advantage that it can be used for other geographical environments for which insolation and meteorological data is available without needing to construct a test-site.en_US
dc.description.sponsorshipQatar National Research Fund (a member of Qatar Foundation) [7-299-2-124]en_US
dc.description.sponsorshipThis publication was made possible by NPRP grant #7-299-2-124 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.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.subjectSolar energyen_US
dc.subjectphotovoltaic modulesen_US
dc.subjectmodule efficiencyen_US
dc.subjectmodule temperatureen_US
dc.subjectthermal modelingen_US
dc.titleThermal Modeling and Verification of PV Module Temperature and Energy Yield Using Outdoor Measurements for Ankara, Turkeyen_US
dc.typeconferenceObjecten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.description.wospublicationidWOS:000519584300017en_US
dc.description.scopuspublicationid2-s2.0-85058230002en_US
dc.departmentGümüşhane Üniversitesien_US
dc.authoridTuncel, Bilge / 0000-0002-6856-0384
dc.authorwosidOZDEN, Talat / ABH-1750-2020
dc.authorwosidTuncel, Bilge / AAV-6544-2021
dc.authorwosidTuncel, Bilge / ABH-1751-2020
dc.authorscopusid57202423686
dc.authorscopusid6602089703
dc.authorscopusid36976213500
dc.authorscopusid6602691172


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