THE THEORETICAL EVALUATION ON PHOTOVOLTAIC-THERMOELECTRIC (PV-TEG) CO-GENERATION SYSTEM PERFORMANCE

Authors

  • Nor Winda Binti Ismail Politeknik Mersing
  • Mohd Sallehin Bin Abas Politeknik Mersing
  • Mohd Fairuz Bin Yacob Politeknik Mersing

Keywords:

PV-TEG Hybrid, Thermoelectric Generator, MPPT, Incremental Conductance

Abstract

TEG is an electrical device that produces energy as a result of the difference in hot and cold
junctions. There are many studies that have been conducted on the use of TEG in solar PV
systems. PV cell depends on solar irradiation and temperature while TEG depends on the
temperature difference. TEG uses heat waste produced from solar PV systems and produces
extra energy. A simulation study was conducted using MATLAB software where the solar PV
system and TEG are connected in parallel. In this study, the maximum power point tracking
converter using the Incremental Conductance (Inc) method is used to achieve the optimal energy.
Another consideration is the solar PV system is limited to non-shading conditions. The obtained
results show that the PV-TEG co-generation system produced 17% more energy when compared
to a standalone PV system. By modifying the temperature and irradiance, the efficiency of PV-
TEG co-generation is also compared to PV standalone.

References

Abdourrziq, M. A., Ouassaid, M., & Maaroufi, M. (2016). Single-sensor based MPPT for photovoltaic systems. International Journal of Renewable Energy Research (IJRER), 6(2), 570-579.

Aboudrar, I., El Hani, S., Mediouni, H., Bennis, N., & Echchaachouai, A. (2017). Hybrid algorithm and active filtering dedicated to the optimization and the improvement of photovoltaic system connected to grid energy quality. International Journal of Renewable Energy Research (IJRER), 7(2), 894-900.

Ali, A., Almutairi, K., Padmanaban, S., Tirth, V., Algarni, S., Irshad, K., . . . Malik, M. Z. (2020). Investigation of MPPT Techniques Under Uniform and Non-Uniform Solar Irradiation Condition–A Retrospection. IEEE Access, 8, 127368-127392. doi:10.1109/ACCESS.2020.3007710

Ali, A., Hasan, A. N., & Marwala, T. (2014). Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT). Paper presented at the 2014 International Conference on Renewable Energy Research and Application (ICRERA).

Babu, C., & Ponnambalam, P. (2018). The theoretical performance evaluation of hybrid PV-TEG system. Energy Conversion and Management, 173, 450-460.

Belkaid, A., Colak, I., & Isik, O. (2016). Photovoltaic maximum power point tracking under fast varying of solar radiation. Applied energy, 179, 523-530.

Belkaid, A., Colak, I., & Kayisli, K. (2017). Implementation of a modified P&O-MPPT algorithm adapted for varying solar radiation conditions. Electrical Engineering, 99, 839-846.

Belkaid, A., Colak, I., KAYISLI, K., BAYINDIR, R., & BULBUL, H. I. (2018). Maximum power extraction from a photovoltaic panel and a thermoelectric generator constituting a hybrid electrical generation system. Paper presented at the 2018 International Conference on Smart Grid (icSmartGrid).

Belkaid, A., Gaubert, J. P., & Gherbi, A. (2016). An improved sliding mode control for maximum power point tracking in photovoltaic systems. Journal of Control Engineering and Applied Informatics, 18(1), 86-94.

Bharath, K., & Suresh, E. (2017). Design and implementation of improved fractional open circuit voltage based maximum power point tracking algorithm for photovoltaic applications. International Journal of Renewable Energy Research (IJRER), 7(3), 1108-1113.

Chin, V. J., Salam, Z., & Ishaque, K. (2015). Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review. Applied energy, 154, 500-519.

Gautam, S., Raut, D. B., Neupane, P., Ghale, D. P., & Dhakal, R. (2016). Maximum power point tracker with solar prioritizer in photovoltaic application. Paper presented at the 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA).

Heidari, M. (2016). Improving efficiency of photovoltaic system by using neural network MPPT and predictive control of converter. International Journal of Renewable Energy Research (IJRER), 6(4), 1524-1529.

Hsueh, T. J., Shieh, J. M., & Yeh, Y. M. (2015). Hybrid Cd ‐ free CIGS solar cell/TEG device with ZnO nanowires. Progress in Photovoltaics: Research and Applications, 23(4), 507-512.

Montecucco, A., & Knox, A. R. (2014). Maximum power point tracking converter based on the open-circuit voltage method for thermoelectric generators. IEEE Transactions on Power Electronics, 30(2), 828-839.

Qasim, M. A., Velkin, V. I., Shcheklein, S. E., Salih, S. A., Aljashaami, B. A., & Sammour, A. A. (2022). Conversion of heat generated during normal PV panel operation into useful energy via a hybrid PV-TEG connection. International Journal of Renewable Energy Research, 12(4), 1779-1786.

Saleh, U. A., Johar, M. A., Jumaat, S. A. B., Rejab, M. N., & Jamaludin, W. A. W. (2021). Evaluation of a PV-TEG hybrid system configuration for an improved energy output: a review. International Journal of Renewable Energy Development, 10(2), 385.

Soufi, Y., Bechouat, M., Kahla, S., & Bouallegue, K. (2014). Maximum power point tracking using fuzzy logic control for photovoltaic system. Paper presented at the 2014 International conference on renewable energy research and application (ICRERA).

Verma, V., Kane, A., & Singh, B. (2016). Complementary performance enhancement of PV energy system through thermoelectric generation. Renewable and Sustainable Energy Reviews, 58, 1017-1026.

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Published

2023-11-06