Skip to main content
SpringerLink
Log in

Modeling of a thermoelectric cooler system, design and optimization of the system’s controller

  • Published:
Sādhanā Aims and scope Submit manuscript

Abstract

A thermoelectric module was modeled and analyzed in COMSOL Multiphysics using a finite element method (FEM). An optimum coefficient of performance of 0.4 is achieved at an operational current of 2 A, and a maximum heat load of 0.52 W is obtained at zero temperature gradient. The system’s dynamic cooling behavior was simulated and the input and output data were exported to the system identification toolbox in MATLAB for the prediction of the mathematical model. The predicted model was validated and a suitable proportional integral (PI) controller was designed for the system. However, the controller needs to be optimized. Optimization techniques namely: Grey Wolf Optimizer (GWO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Harris Hawk Optimization (HHO) were tested on the controller. GWO having a settling time of 199 seconds and an overshoot of 5.96% is found to be the best for this model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6

Similar content being viewed by others

Abbreviations

α :

Seebeck coefficient

T c :

Cold side temperature

T h :

Hot side temperature

R :

TEC internal resistance

K :

Thermal conductivity

ρ :

Resistivity

I :

TEC input current

COP:

Coefficient of performance

Q c :

Heat absorbed on the cold side

Q h :

Heat released on the hot side

Q L :

Heat load

P ele :

Input electrical energy

∆T :

Temperature gradient

References

  1. Riffat S B and Ma X 2003 Thermoelectrics: a review of present and potential applications. Appl. Therm. Eng. 23: 913–935

    Article  Google Scholar 

  2. Chein R and Huang G 2004 Thermoelectric cooler application in electronic cooling. Appl. Therm. Eng. 24: 2207–2217

    Article  Google Scholar 

  3. Wang X-D, Huang Y-X, Cheng C-H, Ta-Wei Lin D and Kang C-H 2012 A three-dimensional numerical modeling of thermoelectric device with consideration of coupling of temperature field and electric potential field. Energy 47: 488–497

    Article  Google Scholar 

  4. Phelan P E, Chiriac V A and Lee T-YT 2002 Current and future miniature refrigeration cooling technologies for high power microelectronics. IEEE Trans. Comp. Packag. Technol. 25: 356–365

    Article  Google Scholar 

  5. Zhou Y and Yu J 2012 Design optimization of thermoelectric cooling systems for applications in electronic devices. Int. J. Refrig. 35: 1139–1144

    Article  Google Scholar 

  6. Cheng Y-H and Lin W-K 2005 Geometric optimization of thermoelectric coolers in a confined volume using genetic algorithms. Appl. Therm. Eng. 25: 2983–2997

    Article  Google Scholar 

  7. Zhu L, Tan H and Yu J 2013 Analysis on optimal heat exchanger size of thermoelectric cooler for electronic cooling applications. Energy Convers. Manag. 76: 685–690

    Article  Google Scholar 

  8. Sundayani, Sinulingga D F, Prasetyawati F M, Palebangan F M, Suhendi A, Ajiwiguna T A, Handayani I P and Fathonah I W 2017 PID temperature controlling of thermoelectric based cool box. In: Proceedings of the International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC), Yogyakarta: IEEE, pp. 236–240

  9. Shaojing S and Qinqin 2010 Temperature control of thermoelectric cooler based on adaptive NN-PID. In: Proceedings of the International Conference on Electrical and Control Engineering, pp. 2245–2248

  10. Selvi V and Umarani Dr R 2010 Comparative analysis of ant colony and particle swarm optimization techniques. Int. J. Comput. Appl. 5: 1–6

    Google Scholar 

  11. Mirjalili S, Mirjalili S M and Lewis A 2013 Grey wolf optimizer. Adv. Eng. Softw. 69: 46–61

    Article  Google Scholar 

  12. Heidari A A, Mirjalili S, Faris H, Aljarah I, Mafarja M and Chen H 2019 Harris hawks optimization: algorithm and applications. Future Gener. Comput. Syst. 97: 849–872

    Article  Google Scholar 

  13. Sharma S and Bhambu P 2016 Artificial bee colony algorithm: a survey. Int. J. Comput. Appl. 149: 11–19

    Google Scholar 

Download references

Acknowledgements

This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) [grant numbers 216M252, 216M254, FDP-2019-33416]; Scientific Coordination Unit of Istanbul University [grant numbers 32641, 35577].

Author information

Authors and Affiliations

  1. Department of Electrical-Electronics Engineering, Istanbul University, Cerrahpaşa, Istanbul, 34320, Turkey

    Aminu Yusuf, Yilmaz Seryar Arikuşu, Hasan Tiryaki & Nevra Bayhan

  2. Hezarfen Aeronautics and Space Technologies Institute, Turkish Air Force Academy, Istanbul, 34149, Turkey

    Tufan Koç

  3. Department of Physics, Istanbul University, Istanbul, 34452, Turkey

    Sedat Ballikaya

Authors
  1. Aminu Yusuf
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tufan Koç
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yilmaz Seryar Arikuşu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hasan Tiryaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Nevra Bayhan
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Sedat Ballikaya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aminu Yusuf.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yusuf, A., Koç, T., Arikuşu, Y.S. et al. Modeling of a thermoelectric cooler system, design and optimization of the system’s controller. Sādhanā 47, 182 (2022). https://doi.org/10.1007/s12046-022-01954-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12046-022-01954-8

Keywords

Search

Navigation