Thermal modeling and verification of pv module temperature and energy yield using outdoor measurements for Ankara, Turkey

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

Özet

Ankara 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°C for the module temperature. However, these deviations could become as large as 12 W/m 2 and 8°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.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/15187Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1109/pvcon.2018.8523953Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorTuncel, Bilge
dc.contributor.authorAkinoglu, Bulent G.
dc.contributor.authorOzden, Talat
dc.contributor.authorBalog, Robert S.
dc.contributor.otherIEEE
dc.date.accessioned2026-10-22T10:23:41.906408248Z
dc.date.available2026-10-22T10:23:41.906408248Z
dc.date.issued2018
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°C for the module temperature. However, these deviations could become as large as 12 W/m 2 and 8°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.
dc.description.sponsorshipQatar Foundation, QF
dc.description.sponsorshipQatar National Research Fund, QNRF, (NPRP 7 - 299 - 2 - 124)
dc.description.sponsorshipMinisterio de Fomento
dc.identifier.articlenumber8523953
dc.identifier.doi10.1109/pvcon.2018.8523953
dc.identifier.isbn978-153867538-0
dc.identifier.scopus2-s2.0-85058230002
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/15187
dc.identifier.wosWOS:000519584300017
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 efficiency
dc.subjectmodule temperature
dc.subjectphotovoltaic modules
dc.subjectSolar energy
dc.subjectthermal modeling
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEngineering, Electrical & Electronic
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEngineering
dc.subject.otherCorrelation methods
dc.subject.otherIncident solar radiation
dc.subject.otherMeteorology
dc.subject.otherPhotovoltaic cells
dc.subject.otherPhotovoltaic effects
dc.subject.otherSolar energy
dc.subject.otherThermoanalysis
dc.subject.otherGeographical environment
dc.subject.otherModule efficiency
dc.subject.otherModule temperature
dc.subject.otherOutdoor test facilities
dc.subject.otherPhotovoltaic modules
dc.subject.otherPrinciple of conservation of energy
dc.subject.otherTemperature dependencies
dc.subject.otherThermal model
dc.subject.otherSolar power generation
dc.titleThermal modeling and verification of pv module temperature and energy yield using outdoor measurements for Ankara, Turkey
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.openalex6
rdl.citation.scopus6
rdl.citation.wos4
rdl.conference.date4 July 2018 through 6 July 2018
rdl.conference.placeAnkara
rdl.oa.statusgreen
rdl.oa.statusclosed
rdl.oa.urlhttps://hdl.handle.net/11511/35290
rdl.sdgSDG07
rdl.sdgSDG13
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexConference Proceedings Citation Index - Science (CPCI-S)