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dc.contributor.authorKishore, Ravi Anant
dc.contributor.authorSanghadasa, Mohan
dc.contributor.authorPriya, Shashank
dc.date.accessioned2019-01-02T15:41:29Z
dc.date.available2019-01-02T15:41:29Z
dc.date.issued2017-12-01
dc.identifier.issn2045-2322
dc.identifier.other16746
dc.identifier.urihttp://hdl.handle.net/10919/86543
dc.description.abstractRecent studies have demonstrated that segmented thermoelectric generators (TEGs) can operate over large thermal gradient and thus provide better performance (reported efficiency up to 11%) as compared to traditional TEGs, comprising of single thermoelectric (TE) material. However, segmented TEGs are still in early stages of development due to the inherent complexity in their design optimization and manufacturability. In this study, we demonstrate physics based numerical techniques along with Analysis of variance (ANOVA) and Taguchi optimization method for optimizing the performance of segmented TEGs. We have considered comprehensive set of design parameters, such as geometrical dimensions of p-n legs, height of segmentation, hot-side temperature, and load resistance, in order to optimize output power and efficiency of segmented TEGs. Using the state-of-the-art TE material properties and appropriate statistical tools, we provide near-optimum TEG configuration with only 25 experiments as compared to 3125 experiments needed by the conventional optimization methods. The effect of environmental factors on the optimization of segmented TEGs is also studied. Taguchi results are validated against the results obtained using traditional full factorial optimization technique and a TEG configuration for simultaneous optimization of power and efficiency is obtained.en_US
dc.description.sponsorshipICTAS Doctoral Scholars Program; AMRDEC through SA Photonics SBIR program; DARPA MATRIX program
dc.format.extent15 pages
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherSpringer Nature
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectfigure-of-merit
dc.subjectperformance bulk thermoelectrics
dc.subjectpower-generation
dc.subjectfilled skutterudites
dc.subjectthermal-behavior
dc.subjectdiesel-engine
dc.subjectparameters
dc.subjectcooler
dc.subjectnanostructures
dc.subjectefficiency
dc.titleOptimization of segmented thermoelectric generator using Taguchi and ANOVA techniquesen_US
dc.typeArticle - Refereed
dc.description.notesR.K. acknowledges the financial support from ICTAS Doctoral Scholars Program and AMRDEC through SA Photonics SBIR program. S.P. acknowledges the support through the DARPA MATRIX program.
dc.title.serialScientific Reports
dc.identifier.doihttps://doi.org/10.1038/s41598-017-16372-8
dc.identifier.volume7
dc.type.dcmitypeText


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Creative Commons Attribution 4.0 International
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