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Computational and experimental analysis of a commercially available Seebeck module

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  • Kossyvakis, D.N.
  • Vossou, C.G.
  • Provatidis, C.G.
  • Hristoforou, E.V.

Abstract

During the last decade thermoelectrics have emerged as a promising alternative amongst other green power production technologies due to the unique advantages they present. In this respect, performance prediction of thermoelectric devices is critical both for evaluating the potential application of new materials and defining the crucial design parameters of thermoelectric generators and systems. This paper investigates, computationally as well as experimentally, the performance of a commercially available Seebeck module under steady-state operating conditions. Computational results, retrieved using ANSYS Workbench (v. 14.0), were compared to performance data available by the manufacturer. Additionally to that, in order to further verify the integrity of the modelling procedure, experimental evaluation using the same commercial module was conducted in laboratory environment. Although a relatively large deviation between computational and manufacturer data was observed when the mean operating temperature of the generator was taken into account, a very good agreement was established in terms of generator efficiency, providing also a rational explanation to the resulting divergence of the first case. Furthermore, the outcomes of the experimental analysis validated the accuracy of the finite element modelling process.

Suggested Citation

  • Kossyvakis, D.N. & Vossou, C.G. & Provatidis, C.G. & Hristoforou, E.V., 2015. "Computational and experimental analysis of a commercially available Seebeck module," Renewable Energy, Elsevier, vol. 74(C), pages 1-10.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:1-10
    DOI: 10.1016/j.renene.2014.07.024
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    References listed on IDEAS

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    Cited by:

    1. M. Yusop, A. & Mohamed, R. & Mohamed, A., 2016. "Inverse dynamic analysis type of MPPT control strategy in a thermoelectric-solar hybrid energy harvesting system," Renewable Energy, Elsevier, vol. 86(C), pages 682-692.
    2. Herrera, Bernardo & Amell, Andrés & Chejne, Farid & Cacua, Karen & Manrique, Raiza & Henao, Wilson & Vallejo, Gabriel, 2017. "Use of thermal energy and analysis of barriers to the implementation of thermal efficiency measures in cement production: Exploratory study in Colombia," Energy, Elsevier, vol. 140(P1), pages 1047-1058.
    3. Kossyvakis, D.N. & Vossou, C.G. & Provatidis, C.G. & Hristoforou, E.V., 2015. "Computational analysis and performance optimization of a solar thermoelectric generator," Renewable Energy, Elsevier, vol. 81(C), pages 150-161.
    4. Twaha, Ssennoga & Zhu, Jie & Yan, Yuying & Li, Bo, 2016. "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 698-726.

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