Multi-objective optimization of a photovoltaic thermal system with different water based nanofluids using Taguchi approach

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dc.authorid0000-0001-8612-2233en_US
dc.authorid0000-0002-5475-8111en_US
dc.authorid0000-0001-9148-3463en_US
dc.authorid0000-0003-1559-7383en_US
dc.contributor.authorGeliş, Kadir
dc.contributor.authorÖzbek, Kadir
dc.contributor.authorÖzyurt, Ömer
dc.contributor.authorÇelik, Ali Naci
dc.date.accessioned2023-11-27T07:18:01Z
dc.date.available2023-11-27T07:18:01Z
dc.date.issued2023en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.descriptionAcknowledgements This work was financially supported by the Scientific Research Project (SRP) of Bolu Abant Izzet Baysal University (Project no: 2020.09.05.1451)en_US
dc.description.abstractIn this study, the effect of different nanofluids on the electrical and thermal efficiencies of photovoltaic thermal (PVT) systems was investigated experimentally and the variables affecting the efficiency were optimized by the Taguchi method. Experiments were carried out under laboratory conditions on the PVT system presently developed. In this study, a novel partitioned cooler block in the form of a rectangular prism was designed and used. Thus, the contact between the cooler block and the back surface of the PV panel and the associated PVT efficiency were increased. The following physical characteristics have been identified as the independent vari-ables for the experiments carried out: SiO2/Water, Al2O3/Water and CuO/Water as different types of nanofluid, 0.1, 0.2 and 0.3 as volumetric concentration, 0.55, 1.1 and 1.65 lpm as volumetric flow rate and 300, 600 and 900 W/m2 as irradiance level. The reliability of the measurements made during the experiments was ascertained through the uncertainty analysis performed. The maximum electrical efficiencies of the PVT system for SiO2/ Water, Al2O3/Water, and CuO/Water nanofluids were found to be 20.69 %, 21.18 %, and 20.77 %, and the maximum thermal efficiencies to be 57.06 %, 63.01 %, and 66.49 %, respectively. As the optimization method for determining the most optimum combination of variables, Taguchi analysis has been employed. As a result of this analysis, it has been shown that the most effective variables on the electrical efficiency of the PVT system are the irradiance, flow rate, volumetric concentration, and nanofluid type, respectively. On the other hand, regarding the thermal efficiency of the PVT system, the most effective variables are the irradiance, flow rate, nanofluid type, and volumetric concentration, respectively.en_US
dc.description.sponsorshipScientific Research Project (SRP) of Bolu Abant Izzet Baysal University [2020.09.05.1451]en_US
dc.identifier.citationGelis, K., Ozbek, K., Ozyurt, O., & Celik, A. N. (2023). Multi-objective optimization of a photovoltaic thermal system with different water based nanofluids using Taguchi approach. Applied Thermal Engineering, 219, 119609.en_US
dc.identifier.doi10.1016/j.applthermaleng.2022.119609
dc.identifier.endpage13en_US
dc.identifier.issn1359-4311
dc.identifier.issn1873-5606
dc.identifier.scopus2-s2.0-85141465748en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.applthermaleng.2022.119609
dc.identifier.urihttps://hdl.handle.net/20.500.12491/11884
dc.identifier.volume219en_US
dc.identifier.wosWOS:001013260600001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGeliş, Kadir
dc.institutionauthorÖzbek, Kadir
dc.institutionauthorÖzyurt, Ömer
dc.institutionauthorÇelik, Ali Naci
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofApplied Thermal Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNanofluidsen_US
dc.subjectPVTen_US
dc.subjectPhotovoltaic Thermal Systemen_US
dc.subjectHeat-Transfer Enhancementen_US
dc.subjectPerformance Evaluationen_US
dc.subjectExergy Analysisen_US
dc.titleMulti-objective optimization of a photovoltaic thermal system with different water based nanofluids using Taguchi approachen_US
dc.typeArticleen_US

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