Skip to main content
Log in

Design, Experimental Implementation and Performance Comparison of Two Solar Tracking Approaches

  • SOLAR INSTALLATIONS AND THEIR APPLICATION
  • Published:
Applied Solar Energy Aims and scope Submit manuscript

Abstract

Nowadays, solar energy encounters a problem that is the efficiency of the photovoltaic (PV) modules which is still low. It is for this reason that this work proposes two approaches that seek to optimize the performance of PV modules under variable meteorological conditions. The first approach uses closed-loop solar tracking thanks to a smart solar tracker that has been implemented. Its particularity is the minimization of the solar tracker consumption. In addition, third world countries, particularly rural areas, do not have the financial and technological means for automation that is why a second approach has been carried out. The second approach is a manual solar tracking; it uses the tracking of the sun’s position with an open loop. In reality astronomical equations make it possible to calculate the positions of the sun in time, the PV module is then positioned manually every hour. This second approach finds its importance much more in rural areas because it could solve energy emergencies in a palliative way in hospitals or industrial buildings. The automatic solar tracking system is made of several parts: a mechanical part, sensors, actuator, a control unit with a microcontroller and the tracking solar panel. While the manual system contains a mechanical rotating structure with angle measuring item and the solar panel. Experimental results were obtained from the two approaches and a comparison was carried out. This study shows the advantage of the automatic method over the manual method due to the low consumption of the electromechanical system which drives the PV module. Nevertheless, the manual method can increase the performance of a PV module up to 21% compared to the fixed module. Furthermore, an experiment-based simulations permit to predict the electrical power of a crystalline silicon module with good precision.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.
Fig. 12.
Fig. 13.
Fig. 14.
Fig. 15.
Fig. 16.

Similar content being viewed by others

REFERENCES

  1. Avezova, N.R., Toshev, J.B., Dalmuradova, N.N., et al., Renewable energy: scenario and model of development, Appl. Sol. Energy, 2019, vol. 55, pp. 438–445.

    Article  Google Scholar 

  2. Dandoussou, A., Kamta, M., Bitjoka, L., et al., Simulation based on experimental data of the behaviour of a monocrystalline silicon photovoltaic module, J. Sol. Energy, 2015, art. id. 169015.

  3. Mousazadeh, H., Keyhani, A., Javadi, A., et al., A review of principle and sun-tracking methods for maximizing solar systems output, Renewable Sustainable Energy Rev., 2009, vol. 19, pp. 1800–1818.

    Article  Google Scholar 

  4. Lee, C.Y., Chou, P.C., Chiang, C.-M., and Lin, C.F., Sun tracking systems: a review, Sensors, 2009, vol. 9, pp. 3875–3890.

    Article  Google Scholar 

  5. Awasthi, A., Shukla, A.K., Murali Manohar, S.R., et al., Review on sun tracking technology in solar PV system, Energy Rep., 2020, vol. 6, pp. 392–405.

    Article  Google Scholar 

  6. Benzekri, A. and Azrar, A., FPGA-based design process of a fuzzy logic controller for a dual-axis sun tracking system, Arabian J. Sci. Eng., 2014, vol. 39, pp. 6109–6123.

    Article  Google Scholar 

  7. Louzazni, M., Khouya, A., Al-Dahidi, S., et al., Analytical optimization of photovoltaic output with Lagrange Multiplier Method, Optik, 2019, vol. 199, art. id. 163379.

  8. Kurniawan, A. and Shintaku, E., A neural network-based rapid maximum power point tracking method for photovoltaic systems in partial shading conditions, Appl. Sol. Energy, 2020, vol. 56, pp. 157–167.

    Article  Google Scholar 

  9. Ibrahim, A., Obukhov, S., and Aboelsaud, R., Determination of global maximum power point tracking of PV under partial shading using cuckoo search algorithm, Appl. Sol. Energy, 2019, vol. 55, pp. 367–375.

    Article  Google Scholar 

  10. Louzazni, M., Cotfas, D.T., and Cotfas, P.A., Management and performance control analysis of hybrid photovoltaic energy storage system under variable solar irradiation, Energies, 2020, vol. 13, no 12, pp. 1–23.

    Article  Google Scholar 

  11. Nsengiyumva, W., Chen, S.G., Hu, L., and Chen, X., Recent advancements and challenges in Solar Tracking Systems (STS): A review, Renewable Sustainable Rev., 2018, vol. 81, pp. 250–279.

    Article  Google Scholar 

  12. Samanta, A., Dutta, A., and Neogi, S., A simple and efficient sun tracking mechanism using programmable logic controller, Appl. Sol. Energy, 2012, vol. 48, pp. 218–227.

    Article  Google Scholar 

  13. Rambhowan, Y. and Oree, V., Improving the dual-axis solar tracking system efficiency via drive power consumption optimization, Appl. Sol. Energy, 2014, vol. 50, pp. 74–80.

    Article  Google Scholar 

  14. Saymbetov, A. K., Nurgaliyev, M.K., Tulkibaiuly, Y., et al., Method for increasing the efficiency of a biaxial solar tracker with exact solar orientation, Appl. Sol. Energy, 2018, vol. 54, pp.126–130.

    Article  Google Scholar 

  15. Majorov, V.A., Verschinin, V.S., Saginov, L.D., et al., Automated sun-tracking system as part of the photovoltaic thermal installation with solar radiation concentration, Appl. Sol. Energy, 2019, vol. 55, pp. 168–173.

    Article  Google Scholar 

  16. Zhu, Y., Liu, J., and Yang, X., Design and performance analysis of a solar tracking system with a novel single-axis tracking structure to maximize energy collection, Appl. Energy, 2020, vol. 264, art. id. 114647.

  17. Motahhir, S., EL Hammoumi, A., EL Ghzizal, A., and Derouich, A., Open hardware/software test bench for solar tracker with virtual instrumentation, Sustainable Energy Technol. Assess., 2019, vol. 31, pp. 9–16.

    Article  Google Scholar 

  18. Eke, R. and Senturk, A., Performance comparison of a double-axis sun tracking versus fixed PV system, Sol. Energy, 2012, vol. 86, pp. 2665–2672.

    Article  Google Scholar 

  19. Tchakounté, H., Fapi, C.B.N., Kamta, M., et al., Experimental assessment of a smart sun tracking system consumption for the improvement of a crystalline silicon photovoltaic module performance under variable weather conditions, Appl. Sol. Energy, 2019, vol. 55, pp. 385–396.

    Article  Google Scholar 

  20. Batzelis, I.E., Simple PV performance equations theoretically well founded on the single-diode model, IEEE J. Photovoltaics, 2017, vol. 7, no. 5, pp. 1400–1409.

    Article  Google Scholar 

  21. Bana, S. and Saini, R.P., A mathematical modeling framework to evaluate the performance, of single diode and double diode based SPV systems, Energy Rep., 2016, vol. 2, pp. 171–187.

    Article  Google Scholar 

  22. Nzoundja Fapi, C.B., Wira, P., and Kamta, M., A fuzzy logic MPPT algorithm with a PI controller for a standalone PV system under variable weather and load conditions, IEEE Int. Conf. on Applied Smart Systems (ICASS), Medea, Algeria, Nov. 24–25, 2018, pp. 1–6.

  23. Nzoundja Fapi, C.B., Wira, P., Kamta, M., et al., Real-time experimental assessment of Hill Climbing MPPT algorithm enhanced by estimating a duty cycle for PV system, Int. J. Renewable Energy Res. (IJRER), 2019, vol. 9, no. 3, pp. 1181–1189.

    Google Scholar 

  24. Prinsloo, G. and Dobson, R., Solar Tracking, Stellenbosch SolarBooks, 2015.

    Google Scholar 

  25. Lee, K.-Y., Chung, C.-Y., Huang, B.-J., et al., A novel algorithm for single-axis maximum power generation sun trackers, Energy Convers. Manage., 2017, vol. 149, pp. 543–552.

    Article  Google Scholar 

  26. Kalogirou, S.A., Solar Energy Engineering: Processes and Systems, Amsterdam: Elsevier, 2014.

    Google Scholar 

  27. Engin, M. and Engin, D., Optimization controller for mechatronic sun tracking system to improve performance, Corp. Adv. Mech. Eng., 2013, art. id. 146352.

Download references

ACKNOWLEDGMENTS

The authors would like to sincerely express their gratitude to the association APSA (Association pour la Promotion Scientifique de l’Afrique) for the logistic support, and Mr. Jean Christin Ngamo for his technical assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hyacinthe Tchakounté.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hyacinthe Tchakounté, Fapi, C.B., Kamta, M. et al. Design, Experimental Implementation and Performance Comparison of Two Solar Tracking Approaches. Appl. Sol. Energy 57, 44–58 (2021). https://doi.org/10.3103/S0003701X21010102

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0003701X21010102

Keywords:

Navigation