Estimating daily Global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey

dc.authoridBarutcu, Burak/0000-0002-8834-2317
dc.authoridYildirim, H. Basak/0000-0003-0355-7448
dc.authoridteke, ahmet/0000-0003-2610-9576
dc.authoridCELIK, Ozgur/0000-0002-7683-2415
dc.contributor.authorYildirim, H. Basak
dc.contributor.authorCelik, Ozgur
dc.contributor.authorTeke, Ahmet
dc.contributor.authorBarutcu, Burak
dc.date.accessioned2025-01-06T17:38:10Z
dc.date.available2025-01-06T17:38:10Z
dc.date.issued2018
dc.description.abstractIt is important to have accurate knowledge on global solar radiation for optimum design of solar energy conversion systems. However, global solar radiation measurement is very rare in meteorological stations in all around the world. Hence, modeling global solar radiation is an crucial issue to fill the gaps in database and to estimate global solar radiation in places where global solar radiation measurement is not available. This paper presents a detailed description and analysis of various global solar radiation modeling methods. The efficiency and accuracy of ten models from different functions to estimate daily solar radiation in EMR are investigated. Also an optimized model based on Artificial Neural Network (ANN) method and Angstrom-Prescott model for the estimation of daily global solar radiation are presented. The essence of this paper is to investigate the performance of the ANN model and Angstrom-Prescott model in order to ensure the most feasible solution for estimating daily global solar radiation for Eastern Mediterranean Region (EMR) of Turkey. 11 years solar radiation data from 4 stations are utilized in training and testing of developed ANN model and parametric model which is based on Angstrm-Prescott method. In order to ensure a simple application of the model that most accurately predicts the desired target value, a new graphical user interface is developed with MATLAB GUI.
dc.description.sponsorshipTUBITAK [EEEAG-114Y391]
dc.description.sponsorshipThe authors would like to express their gratitude for Electrical, Electronics and Informatics Research Group of Scientific and Technological Research Council of Turkey (TUBITAK). This study is granted by the research project of TUBITAK (Project Number: EEEAG-114Y391).
dc.identifier.doi10.1016/j.rser.2017.06.030
dc.identifier.endpage1537
dc.identifier.issn1364-0321
dc.identifier.issn1879-0690
dc.identifier.scopus2-s2.0-85021124388
dc.identifier.scopusqualityQ1
dc.identifier.startpage1528
dc.identifier.urihttps://doi.org/10.1016/j.rser.2017.06.030
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2507
dc.identifier.volume82
dc.identifier.wosWOS:000417079400109
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRenewable & Sustainable Energy Reviews
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectGlobal solar radiation assessment
dc.subjectEmpirical models
dc.subjectANN
dc.subjectMATLABGUI
dc.titleEstimating daily Global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey
dc.typeReview Article

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