Experimental analysis of CPV/T solar dryer with nano-enhanced PCM and prediction of drying parameters using ANN and SVM algorithms

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dc.authoridKARAAGAC, Mehmet Onur/0000-0003-1783-9702
dc.contributor.authorKaraagac, Mehmet Onur
dc.contributor.authorErgun, Alper
dc.contributor.authorAgbulut, Umit
dc.contributor.authorGurel, Ali Etem
dc.contributor.authorCeylan, Ilhan
dc.date.accessioned2024-09-29T16:00:46Z
dc.date.available2024-09-29T16:00:46Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this paper, a concentrated photovoltaic-thermal solar dryer (CPV/TSD) using nano-enhanced PCM (Al2O3Paraffin wax) is experimentally studied. A comprehensive thermodynamic analysis of the system according to the first and second laws is discussed. Besides, the drying parameters (moisture content and moisture ratio) are predicted using the two machine learning algorithms (ANN and SVM) and compared the prediction success with four evaluation metrics (R2, rRMSE, MBE, and rMAE). The overall thermal energy efficiency and exergy efficiency of the CPV/TSD system are found to be 20% and 8%, respectively. Although solar radiation to the environment has decreased a lot, it has been found that the thermal energy transferred to the nano-enhanced PCM prevents the decrease in greenhouse temperature for the first 100 min. In the system, mushrooms are dried from the initial moisture content of 17.45 g water/g dry matter to the final moisture content of 0.0515 g water/g dry matter. Then the drying rate value for CPV/TSD system is calculated to be 0.436 g matter/g dry matter.min. On the other hand, even if both ANN and SVM algorithms have exhibited very satisfying results, ANN is coming to the fore in the prediction of the drying parameters considering all evaluation metrics together.en_US
dc.identifier.doi10.1016/j.solener.2021.02.028
dc.identifier.endpage67en_US
dc.identifier.issn0038-092X
dc.identifier.issn1471-1257
dc.identifier.scopus2-s2.0-85102023951en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage57en_US
dc.identifier.urihttps://doi.org/10.1016/j.solener.2021.02.028
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5327
dc.identifier.volume218en_US
dc.identifier.wosWOS:000637191800006en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofSolar Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSolar Dryingen_US
dc.subjectParaffin waxen_US
dc.subjectNanoparticleen_US
dc.subjectThermal energy storageen_US
dc.subjectNano-enhanced PCMen_US
dc.subjectPrediction algorihtmsen_US
dc.titleExperimental analysis of CPV/T solar dryer with nano-enhanced PCM and prediction of drying parameters using ANN and SVM algorithmsen_US
dc.typeArticleen_US

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