Design and performance optimization of non-imaging concentrating photovoltaic thermal systems using grey relational analysis and response surface methodology

dc.contributor.authorUstaoğlu, Abid
dc.contributor.authorKurşuncu, Bilal
dc.contributor.authorAkgül, Volkan
dc.contributor.authorOkajima, Junnosuke
dc.contributor.authorAkgül, Volkan
dc.contributor.authorKurşuncu, Bilal
dc.contributor.authorUstaoğlu, Abid
dc.date.accessioned2025-10-18T10:04:52Z
dc.date.created2025
dc.date.issued2025
dc.departmentFakülteler, Mühendislik Mimarlık ve Tasarım Fakültesi, Makine Mühendisliği Bölümü
dc.description.abstractNon-imaging concentrators enhance photovoltaic thermal system efficiency by improving solar energy capture. However, selecting the optimal concentrator geometry remains challenging due to efficiency, cost, and acceptance angle constraints. This study optimizes concentrating photovoltaic thermal (CPVT) design using compound parabolic (CPC), V-trough, and compound hyperbolic (CHC) concentrators with varying truncation levels and incidence angles. By integrating Grey Relational Analysis (GRA) and Response Surface Methodology (RSM), forty-eight CPVT configurations were uniquely analyzed to identify the best balance between performance, geometry, and cost. The results indicate that V-trough achieved the highest thermal efficiency (66.2% at 0 degrees) and was particularly effective at small angles. CPC maintained stable efficiency across configurations, with moderate truncation (55%), reducing material costs while preserving performance making it a cost-effective option. CHC exhibited the steepest efficiency decline (64.9% to 30.0%) as the incidence angle increased. Due to lower PV temperatures, electrical efficiency improved with incidence angle and smaller reflectors, peaking at 30 degrees with 0.42 truncation. Truncation effects varied by concentrator type, with CPC being the least sensitive. GRG analysis shows that CHC remains more stable at higher incidence angles. RSM identifies incidence angle as the most influential performance factor, indicating that sun tracking may be necessary at larger angles. These findings provide a structured framework for CPVT system optimization, offering insights into the role of truncation and incidence angles in enhancing efficiency and economic feasibility, supporting large-scale adoption by reducing material costs while maintaining energy output, and making it a sustainable solution for enhanced solar energy utilization.
dc.description.sponsorshipTUBITAK-2219 [1059B192203008]; IFS Collaborative Research Project [J24I075]; Joint Usage/Research Center, Fluid Science Global Research and Education Hub, Tohoku University
dc.description.sponsorshipThis study was conducted within the scope of a research program TUBITAK-2219 (Program No: 1059B192203008) and IFS Collaborative Research Project (No: J24I075) . TUBITAK-2219 and The Joint Usage/Research Center, Fluid Science Global Research and Education Hub, Tohoku University, are gratefully appreciated by the authors
dc.identifier.doi10.1016/j.applthermaleng.2025.126482
dc.identifier.issn1359-4311
dc.identifier.issn1873-5606
dc.identifier.scopus2-s2.0-105002695907
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.applthermaleng.2025.126482
dc.identifier.urihttps://hdl.handle.net/11772/20954
dc.identifier.volume273
dc.identifier.wosWOS:001473972800001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofApplied Thermal Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-07: Affordable and Clean Energy
dc.relation.sdgGoal-17: Partnerships for the Goals
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20251016
dc.subjectConcentrating Photovoltaic
dc.subjectPhotovoltaic Thermal
dc.subjectResponse Surface Methodology (Rsm)
dc.subjectGrey Relation Analysis (Gra)
dc.subjectOptimization And Decision Making
dc.subjectRenewable Energy
dc.titleDesign and performance optimization of non-imaging concentrating photovoltaic thermal systems using grey relational analysis and response surface methodology
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication2dc861be-1a78-4cdf-ad40-78227d87b265
relation.isAuthorOfPublicationae4eb388-ffb2-415d-a217-c6572b4ee1db
relation.isAuthorOfPublication831ef1cf-f629-4a76-966d-53534977a411
relation.isAuthorOfPublication.latestForDiscovery2dc861be-1a78-4cdf-ad40-78227d87b265

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