International Journal of Energy and Power Engineering

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Modelling and Analysis of Thermoelectric Generation of Materials Using Matlab/Simulink

Received: 19 May 2016    Accepted:     Published: 19 May 2016
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Abstract

This paper presents several models and implementations on measuring the thermoelectric behaviour of an unknown material using Matlab/Simulink. The proposed models are designed using Simulink block libraries and can be linked to data obtained from an actual experimental setup. This model is unique, as it also contains an implementation that can be used as a laboratory experiment to estimate the thermal conductivity of the unknown material thus, making it easy to use for simulation, analysis and efficiency optimization of novel thermoelectric material. The model was tested on a natural graphite sample with a maximum output voltage of 0.74mV at a temperature difference of 25.3K. Thus, according to the collected data, an experimental mean value of 68W/m.K was observed for the thermal conductivity while the Seebeck coefficient had a mean value of -3.1µV/K. Hence, it is apparent that this model would be ideal for thermoelectric experimentation in a laboratory based environment especially as a user interface for students.

DOI 10.11648/j.ijepe.20160503.12
Published in International Journal of Energy and Power Engineering (Volume 5, Issue 3, June 2016)
Page(s) 97-104
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Seebeck Effect, Thermoelectric Power, Thermal Conductivity, Electrical Conductivity, Simulink Modelling

References
[1] B. Orr, A. Akbarzadeh, M. Mochizuki and R. Singh. “A review of car waste heat recovery systems utilising thermoelectric generators and heat pipes,” in Applied Thermal Engineering, 2016, p. 13.
[2] F. Felgner, L. Exel, M. Nesarajah, and G. Frey.” Component-Oriented Modeling of Thermoelectric Devices for Energy System Design” in IEEE Transactions on Industrial Electronics, vol. 61 (3), 2014, p. 1301-1310
[3] Y. Moumouni and R. J. Baker. “Improved SPICE Modeling and Analysis of a Thermoelectric Module,” in International Midwest Symposium on Circuits and Systems (MWSCAS), Fort Collins, CO, IEEE, 2015.
[4] C. Li, et al, “Thermoelectric Cooling for Power Electronics Circuits: Modeling and Active Temperature Control,” IEEE Transactions on Industry Applications, vol. 50 6), 2014, p. 3995 - 4005.
[5] A. Kane, V. Verma, and B. Singh. “Temperature Dependent Analysis of Thermoelectric Module using Matlab/SIMULINK,” in IEEE International Conference on Power and Energy (PECon), Kota Kinabalu Sabha, Malaysia, 2012.
[6] A. M. Yusop, et al., “Dynamic Modeling and Simulation of a Thermoelectric-Solar Hybrid Energy System Using an Inverse Dynamic Analysis Input Shaper” in Modelling and Simulation in Engineering, 2014: p. 13.
[7] A. M. Yusop, R. Mohamed and A. Ayob “Model Building of Thermoelectric Generator Exposed to Dynamic Transient Sources” in IOP Conf. Series: Materials Science and Engineering, vol. 53, 2013.
[8] B. Ciylan. “Determination of Output Parameters of a Thermoelectric Module using Artificial Neural Networks,” in Elektronika ir Elektrotechnika, vol. 116 (10), 2011, p. 63-66.
[9] H. L. Tsai and J.-M. Lin, “Model Building and Simulation of Thermoelectric Module Using Matlab/Simulink,” Journal Of Electronic Materials, vol. 39 (9), 2010, p. 2105-2111.
[10] Y. Apertet and C. Goupil, “On the fundamental aspect of the first Kelvin's relation in thermoelectricity,” in International Journal of Thermal Sciences, vol. 104, 2016, p. 225-227.
[11] Editors, “Thermal Conductivity - Different Methods for Measurement of Thermal Conductivity,” 2011, 11th June 2013 [cited 8th March 2016]; Available from: http://www.azom.com/article.aspx?ArticleID=5615.
[12] TA Instruments, “Principal Methods of Thermal Conductivity Measurement,” 2012, p. 5.
[13] J. Wilson, “Thermal conductivity of solders,” in Electronics Cooling, vol. 12 (3), 2006, p. 4-5.
[14] S. Desai and J. Njuguna, “Thermal properties of natural graphite flake composites,” in International Review of Mechanical Engineering, 4th ed., vol. 6, 2012, p. 923-926.
[15] M. Smalc, et al. “Thermal performance of natural graphite heat spreaders,” in ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems collocated with the ASME 2005 Heat Transfer Summer Conference, San Francisco, CA, USA, American Society of Mechanical Engineers, 2005.
[16] Y. M. Hoi and D. D. L. Chung, “Flexible graphite as a compliant thermoelectric material,” in Carbon, vol. 40 (7), 2001, p. 1134-1136.
[17] M. Penza, et al., “Thermoelectric Properties of Carbon Nanotubes Layers,” in Sensors and Microsystems, vol. 91, 2011, Springer, p. 73-79.
[18] R. Matsumoto, Y. Okabe, and N. Akuzawa, “Thermoelectric Properties and Performance of n-Type and p-Type Graphite Intercalation Compounds,” in Journal of Electronic Materials, vol. 44 (1), 2015, p. 399-406.
[19] R. Javadi, P. H. Choi, H. S. Park, and B. D. Choi, “Preparation and Characterization of P-Type and N-Type Doped Expanded Graphite Polymer Composites for Thermoelectric Applications,” Journal of Nanoscience and Nanotechnology, 11th ed., vol. 15, November 2015, p. 9116-9119.
Author Information
  • National Institute of Fundamental Studies, Hanthana Road, Kandy, Sri Lanka

  • National Institute of Fundamental Studies, Hanthana Road, Kandy, Sri Lanka

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  • APA Style

    K. P. V. B. Kobbekaduwa, N. D. Subasinghe. (2016). Modelling and Analysis of Thermoelectric Generation of Materials Using Matlab/Simulink. International Journal of Energy and Power Engineering, 5(3), 97-104. https://doi.org/10.11648/j.ijepe.20160503.12

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    ACS Style

    K. P. V. B. Kobbekaduwa; N. D. Subasinghe. Modelling and Analysis of Thermoelectric Generation of Materials Using Matlab/Simulink. Int. J. Energy Power Eng. 2016, 5(3), 97-104. doi: 10.11648/j.ijepe.20160503.12

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    AMA Style

    K. P. V. B. Kobbekaduwa, N. D. Subasinghe. Modelling and Analysis of Thermoelectric Generation of Materials Using Matlab/Simulink. Int J Energy Power Eng. 2016;5(3):97-104. doi: 10.11648/j.ijepe.20160503.12

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  • @article{10.11648/j.ijepe.20160503.12,
      author = {K. P. V. B. Kobbekaduwa and N. D. Subasinghe},
      title = {Modelling and Analysis of Thermoelectric Generation of Materials Using Matlab/Simulink},
      journal = {International Journal of Energy and Power Engineering},
      volume = {5},
      number = {3},
      pages = {97-104},
      doi = {10.11648/j.ijepe.20160503.12},
      url = {https://doi.org/10.11648/j.ijepe.20160503.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijepe.20160503.12},
      abstract = {This paper presents several models and implementations on measuring the thermoelectric behaviour of an unknown material using Matlab/Simulink. The proposed models are designed using Simulink block libraries and can be linked to data obtained from an actual experimental setup. This model is unique, as it also contains an implementation that can be used as a laboratory experiment to estimate the thermal conductivity of the unknown material thus, making it easy to use for simulation, analysis and efficiency optimization of novel thermoelectric material. The model was tested on a natural graphite sample with a maximum output voltage of 0.74mV at a temperature difference of 25.3K. Thus, according to the collected data, an experimental mean value of 68W/m.K was observed for the thermal conductivity while the Seebeck coefficient had a mean value of -3.1µV/K. Hence, it is apparent that this model would be ideal for thermoelectric experimentation in a laboratory based environment especially as a user interface for students.},
     year = {2016}
    }
    

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    T1  - Modelling and Analysis of Thermoelectric Generation of Materials Using Matlab/Simulink
    AU  - K. P. V. B. Kobbekaduwa
    AU  - N. D. Subasinghe
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    DO  - 10.11648/j.ijepe.20160503.12
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
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    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.20160503.12
    AB  - This paper presents several models and implementations on measuring the thermoelectric behaviour of an unknown material using Matlab/Simulink. The proposed models are designed using Simulink block libraries and can be linked to data obtained from an actual experimental setup. This model is unique, as it also contains an implementation that can be used as a laboratory experiment to estimate the thermal conductivity of the unknown material thus, making it easy to use for simulation, analysis and efficiency optimization of novel thermoelectric material. The model was tested on a natural graphite sample with a maximum output voltage of 0.74mV at a temperature difference of 25.3K. Thus, according to the collected data, an experimental mean value of 68W/m.K was observed for the thermal conductivity while the Seebeck coefficient had a mean value of -3.1µV/K. Hence, it is apparent that this model would be ideal for thermoelectric experimentation in a laboratory based environment especially as a user interface for students.
    VL  - 5
    IS  - 3
    ER  - 

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