Thermal performance parameters estimation of hot box type solar cooker by using artificial neural network

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dc.contributor.authorKurt, Hueseyin
dc.contributor.authorAtik, Kemal
dc.contributor.authorOzkaymak, Mehmet
dc.contributor.authorRecebli, Ziyaddin
dc.date.accessioned2024-09-29T15:57:21Z
dc.date.available2024-09-29T15:57:21Z
dc.date.issued2008
dc.departmentKarabük Üniversitesien_US
dc.description.abstractWork to date has shown that Artificial Neural Network (ANN) has not been used for predicting thermal performance parameters of a solar cooker. The objective of this study is to predict thermal performance parameters such as absorber plate, enclosure air and pot water temperatures of the experimentally investigated box type solar cooker by using the ANN. Data set is obtained from the box type solar cooker which was tested under various experimental conditions. A feed-forward neural network based on back propagation algorithm was developed to predict the thermal performance of solar cooker with and without reflector. Mathematical formulations derived from the ANN model are presented for each predicting temperatures. The experimental data set consists of 126 values. These were divided into two groups, of which the 96 values were used for training/learning of the network and the rest of the data (30 values) for testing/validation of the network performance. The performance of the ANN predictions was evaluated by comparing the prediction results with the experimental results. The results showed a good regression analysis with the correlation coefficients in the range of 0.9950-0.9987 and mean relative errors (MREs) in the range of 3.92516-7.040% for the test data set. The regression coefficients indicated that the ANN model can successfully be used for the prediction of the thermal performance parameters of a box type solar cooker with a high degree of accuracy. (c) 2007 Elsevier Masson SAS. All rights reserved.en_US
dc.identifier.doi10.1016/j.ijthermalsci.2007.02.007
dc.identifier.endpage200en_US
dc.identifier.issn1290-0729
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-36348935052en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage192en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijthermalsci.2007.02.007
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4766
dc.identifier.volume47en_US
dc.identifier.wosWOS:000252062300009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier France-Editions Scientifiques Medicales Elsevieren_US
dc.relation.ispartofInternational Journal of Thermal Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecthot box type solar cookeren_US
dc.subjectthermal performance parametersen_US
dc.subjectartificial neural networken_US
dc.titleThermal performance parameters estimation of hot box type solar cooker by using artificial neural networken_US
dc.typeArticleen_US

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