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Modeling and Fuzzy MPPT Controller Design for Photovoltaic Module Equipped with a Closed-Loop Cooling System

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Abstract

Electrical energy generated by a photovoltaic (PV) panel depends heavily on two climatic conditions: total solar irradiance and absolute temperature. If high intensity of the solar illumination contributes positively to increasing electrical power, a high degree of absolute temperature has, by contrast, a negative effect on its electrical characteristic. In this paper, the electrical efficiency provided by a conventional PV panel is enhanced using the proposed photovoltaic thermal (PVT) panel. The latter contains serpentines fed by a water tank, which allows cooling its PV cells at high temperature. Accordingly, the desired enhancement needs two main requirements: an efficient PVT panel model that accurately describes the actual PVT panel behavior and an efficient controller that correctly tracks the maximum power point tracking (MPPT). For this reason, a number of experimental test data is firstly recorded from an actual ISOFOTON I-50-PVT module under different climatic conditions. Afterward, the recorded data are fitted by the Curve Fitting Toolbox (CF-Tool), creating therefore a 2-dimensional lookup table, used in the following step. Next, the fuzzy logic control (FLC) strategy is employed to synthesize the proposed MPPT-FLC controller, which should ensure a good extraction of the maximal electrical power. To validate the effectiveness of the proposed MPPT-FLC controller based on a 2-dimensional lookup table, the obtained performance is compared, in terms of electrical power and duty cycle, to those provided by an MPPT-FLC controller for a conventional PV panel in various climatic conditions.

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References

  1. A. Dolara, S. Leva, and G. Manzolini, Solar Energy 119, 83 (2015).

    Article  Google Scholar 

  2. L. Fialho, R. Melício, V.M.F. Mendes, A. Estanqueiro, and M. Collares-Pereira, Sustain. Energy Technol. Assess. 10, 29 (2015).

    Google Scholar 

  3. J.H. Chen, H.T. Yau, and T.H. Hung, Mechatronics 25, 55 (2015).

    Article  Google Scholar 

  4. A.M. Eltamaly and M.A. Mohamed, J. Braz. Soc. Mech. Sci. Eng. 38(4), 1299 (2016).

    Article  Google Scholar 

  5. K. El-Naggar, M. AlRashidi, M. AlHajri, and A. Al-Othman, Solar Energy 86(1), 266 (2012).

    Article  Google Scholar 

  6. M. Ismail, M. Moghavvemi, and T. Mahlia, Energy Convers. Manag. 73, 10 (2013).

    Article  Google Scholar 

  7. A. Askarzadeh and L. dos Santos Coelho, Energy Convers. Manag. 89, 608 (2015).

    Article  Google Scholar 

  8. A. Safari and S. Mekhilef, in Electrical and computer engineering (CCECE), 2011 24th Canadian Conference on (IEEE, 2011), pp. 000345–000347.

  9. A.K. Abdelsalam, A.M. Massoud, S. Ahmed, and P.N. Enjeti, IEEE Trans. Power Electron. 26(4), 1010 (2011).

    Article  Google Scholar 

  10. B. Bendib, F. Krim, H. Belmili, M. Almi, and S. Boulouma, Energy Procedia 50, 383 (2014).

    Article  Google Scholar 

  11. Q. Mei, M. Shan, L. Liu, and J. Guerrero, IEEE Trans. Ind. Electron. 58, 2427 (2011).

    Article  Google Scholar 

  12. A.I. Dounis, P. Kofinas, C. Alafodimos, and D. Tseles, Renew. Energy 60, 202 (2013).

    Article  Google Scholar 

  13. S. Daraban, D. Petreus, and C. Morel, Energy 74, 374 (2014).

    Article  Google Scholar 

  14. S. Li, Solar Energy 108, 117 (2014).

    Article  Google Scholar 

  15. M. Bechouat, A. Younsi, M. Sedraoui, Y. Soufi, L. Yousfi, I. Tabet, and K. Touafek, Int. J. Energy Environ. Eng. 8(4), 331 (2017).

    Article  Google Scholar 

  16. K.K. Chang, Solar Energy 115, 419 (2015).

    Article  Google Scholar 

  17. M.A. Eltawil and Z. Zhao, Renew. Sustain. Energy Rev. 25, 793 (2013).

    Article  Google Scholar 

  18. F. Chekired, C. Larbes, D. Rekioua, and F. Haddad, Energy Procedia 6, 541 (2011).

    Article  Google Scholar 

  19. A. Messai, A. Mellit, A.M. Pavan, A. Guessoum, and H. Mekki, Energy Convers. Manag. 52(7), 2695 (2011).

    Article  Google Scholar 

  20. E. Mamdani and S. Assilian, Int. J. Hum–Comput. Stud. 51(2), 135 (1999).

    Article  Google Scholar 

  21. E. Mamdani and S. Assilian, in Readings in Fuzzy Sets for Intelligent Systems (Elsevier, 1993), pp. 283–289

  22. Y. Soufi, M. Bechouat, and S. Kahla, Int. J. Hydrog. Energy 42(13), 8680 (2017).

    Article  Google Scholar 

  23. M.C. Argyrou, P. Christodoulides, and S.A. Kalogirou, in 2018 IEEE International Energy Conference (ENERGYCON) (IEEE, 2018).

  24. M.R. Islam, A. Mahfuz-Ur-Rahman, M.M. Islam, Y.G. Guo, and J.G. Zhu, IEEE Trans. Ind. Electron. 64(11), 8887 (2017).

    Article  Google Scholar 

  25. M. Kermadi and E.M. Berkouk, Renew. Sustain. Energy Rev. 69, 369 (2017).

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the Pervasive Artificial Intelligence PAI group of the informatics department of Fribourg–Switzerland—for their valuable suggestions and comments which helped us to improve this paper. Special thanks to Prof. Beét Hirsbrunner and Prof. Michèle Courant.

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Correspondence to M. Bechouat.

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Mohcene Bechouat, Moussa Sedraoui, Chams-Eddine Feraga, Mohammed Aidoud and Sami Kahla contributed equally in the preparation of this manuscript.

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The authors declare that there is no conflict of interest.

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Bechouat, M., Sedraoui, M., Feraga, CE. et al. Modeling and Fuzzy MPPT Controller Design for Photovoltaic Module Equipped with a Closed-Loop Cooling System. J. Electron. Mater. 48, 5471–5480 (2019). https://doi.org/10.1007/s11664-019-07243-1

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  • DOI: https://doi.org/10.1007/s11664-019-07243-1

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