Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11954
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dc.rights.licenserestrictedAccess-
dc.contributor.authorDespotovic, Milan-
dc.contributor.authorNedić, Vladimir-
dc.contributor.authorDespotović, Danijela-
dc.contributor.authorCvetanović A.-
dc.date.accessioned2021-04-20T19:39:08Z-
dc.date.available2021-04-20T19:39:08Z-
dc.date.issued2015-
dc.identifier.issn1364-0321-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/11954-
dc.description.abstract© 2015 Elsevier B.V. All rights reserved. For the optimal design and selection of solar energy conversion systems, as well as for other fields of interest, such as architecture, agriculture, hydrology and ecology, the knowledge of accurate global solar radiation data is extremely important. However, due to the cost and difficulty in solar radiation measurements these data are not easily available for many countries. Therefore many empirical models have been developed by various researchers to predict global solar radiation from readily available data. The number of developed models is relatively high, which makes it difficult to choose the most appropriate one for a particular purpose and site. There are several studies in which authors evaluate different models for specific location. However, there is no comprehensive study in which these models are evaluated in case of global use. The main objective of this study is to evaluate different solar radiation models on global scale, which might be helpful in the selection of the most appropriate and accurate model based on the available sunshine data. Using the radiation data corresponding to 924 sites throughout the world we conducted a detailed statistical analysis of 101 different solar radiation models that are available in literature. Ten statistical indicators were used to assess models performance. In addition, we introduced specific global performance indicator (GPI), by means of which all analyzed models are depicted with a single parameter and easily ranked.-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.sourceRenewable and Sustainable Energy Reviews-
dc.titleReview and statistical analysis of different global solar radiation sunshine models-
dc.typereview-
dc.identifier.doi10.1016/j.rser.2015.08.035-
dc.identifier.scopus2-s2.0-84940912723-
Appears in Collections:Faculty of Economics, Kragujevac
Faculty of Engineering, Kragujevac

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