Review on nanofluids and machine learning applications for thermoelectric energy conversion in renewable energy systems

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dc.contributor.authorOkulu D.
dc.contributor.authorSelimefendigil F.
dc.contributor.authorÖztop H.F.
dc.date.accessioned2024-07-22T08:03:57Z
dc.date.available2024-07-22T08:03:57Z
dc.date.issued2022
dc.description.abstractThis review is about applications of nanofluids technology and different machine learning algorithms on the potential improvement of system performance and computational efficiency of thermo-electric device installed systems. Brief information about the thermo-electric energy conversion principles, construction materials and different application areas in energy system technologies are presented. The applications of nanofluid technology in thermoelectric conversion starting from the basic information on the common nanofluid types, modeling aspects and thermophysical properties are presented. Potential of using nanofluid in diverse thermoelectric installed system on the conversion efficiency and performance improvements are discussed. Applications of different machine learning algorithms with the basic information on the most common applied ones are presented. The computational efficiency of using different machine learning methods have been analyzed. The gap in the present literature and future trends are discussed. As thermoelectric devices, which are among the clean energy technologies, gain importance with the many advantages they offer and draw attention with their adaptability to different systems, the results summarized here, and future aspects will be beneficial for efficient design and optimization of energy related technologies. © 2022
dc.identifier.DOI-ID10.1016/j.enganabound.2022.08.004
dc.identifier.issn09557997
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12504
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectEnergy conversion efficiency
dc.subjectEnergy efficiency
dc.subjectLearning algorithms
dc.subjectMachine learning
dc.subjectNanofluidics
dc.subjectRenewable energy resources
dc.subjectThermodynamic properties
dc.subjectClean energy
dc.subjectElectric devices
dc.subjectEnergy systems
dc.subjectMachine learning algorithms
dc.subjectMachine learning applications
dc.subjectMachine-learning
dc.subjectNanofluids
dc.subjectRenewable energies
dc.subjectSystems performance
dc.subjectThermoelectric conversion
dc.subjectComputational efficiency
dc.titleReview on nanofluids and machine learning applications for thermoelectric energy conversion in renewable energy systems
dc.typeArticle

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