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dc.contributor.authorMilosavljević, Dragana D.
dc.contributor.authorKevkić, Tijana S.
dc.contributor.authorJovanović, Slavica J.
dc.date.accessioned2023-03-08T12:13:45Z
dc.date.available2023-03-08T12:13:45Z
dc.date.issued2022-05-10
dc.identifier.citationMinistry of Education, Science and Technological Development of the Republic of Serbia for support under Contract No. 451-03-68/2022-14en_US
dc.identifier.citationFaculty of Sciences and Mathematics in Kosovska Mitrovica (University of Priština in Kosovska Mitrovica, Department of Physics) for support under the project ИЈ-0201en_US
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/1092
dc.description.abstractPhotovoltaic (PV) systems are an excellent solution to meet energy demand and protect the global environment in many cases. With the increasing utilization of the PV system worldwide, there is an increasing need for simulation tools to predict the PV system’s performance and profitability. This research includes testing and comparison of PV tools: photovoltaic geographical information system (PVGIS), PVWatts, SolarGIS, RETScreen, BlueSol, PVsyst, HelioScope, PV*SOL, Solarius PV, Solar Pro, PV F-Chart, PolySun, solar advisor model (SAM), and hybrid optimization model for electric renewables (HOMER), based on experimental data obtained from fixed on-grid 2 kWp PV system in 2019. The PV system is part of a research project related to the examination of the PV system operation in real climatic conditions in Niš. This research investigates the most appropriate PV software for PV systems design by testing the most commonly used PV tools. It was accomplished by comparing experimental data obtained by a 2 kWp PV system in Niš and estimated data obtained from different PV tools. The study shows that annually, the experimentally measured average daily solar irradiation on the inclined plane was 5,270 Wh/m2/day, and the lowest deviation of the simulation results compared to experimental measurements was obtained by SolarPro. Total annual electricity production from the given system was 2455.621 kW h, and the lowest deviation of the simulation results compared to experimental measurements was obtained by PVGIS. By analyzing and publishing the actual solar irradiation and PV power output data, this study could help researchers to increase the PV systems modeling accuracy.en_US
dc.language.isoen_USen_US
dc.publisherDe Gruyteren_US
dc.titleReview and validation of photovoltaic solar simulation tools/software based on case studyen_US
dc.title.alternativeOpen Physicsen_US
dc.typeclanak-u-casopisuen_US
dc.description.versionpublishedVersionen_US
dc.identifier.doihttps://doi.org/10.1515/phys-2022-0042
dc.citation.volume20
dc.citation.issue1
dc.citation.spage431
dc.citation.epage451
dc.subject.keywordsPV simulation tools/softwareen_US
dc.subject.keywordsSolar Proen_US
dc.subject.keywordsPV*SOL premiumen_US
dc.subject.keywordsHelioscopeen_US
dc.subject.keywordsBlueSolen_US
dc.subject.keywordsPV F-Charten_US
dc.subject.keywordsPolySunen_US
dc.subject.keywordsSolarius PVen_US
dc.subject.keywordssolar databasesen_US
dc.subject.keywordson-grid PV systemen_US
dc.type.mCategoryM23en_US
dc.type.mCategoryopenAccessen_US
dc.type.mCategoryM23en_US
dc.type.mCategoryopenAccessen_US


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