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Increasing the Tracking Efficiency of Photovoltaic Systems

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Sustainable Energy in the Built Environment - Steps Towards nZEB

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Abstract

The total amount of the electrical energy yielded by in-field photovoltaic (PV) modules can be increased by tracking, usually aiming at maximizing the incident direct solar radiation as input of the PV systems. The photovoltaic conversion efficiency is influenced by the PV cell temperature, directly correlated with the ambient temperature and the solar radiation (intensity and spectral distribution, particularly the % of IR); as results, more complex approaches of solar PV tracking can be considered, aiming at maximizing the PV output (electric energy) by optimizing the conversion efficiency based on collected global solar radiation and PV cell temperature. This paper presents a new approach for increasing the PV tracking efficiency; starting with the analysis of the tracking effect on the temperature of silicon photovoltaic modules and based on the specifics of each type of tracking, the paper comparatively discusses different tracking algorithms considering their effect on the input solar radiation. During the past 10 years, the R&D Center of Renewable Energy Systems and Recycling (RES-REC) in the Transilvania University has investigated different tracking systems and algorithms, focusing on optimized solutions tailored to the specific features of the implementation location (e.g. temperate, mountain areas like Brasov, Romania). The research infrastructure includes indoor high quality testing facilities (controlled solar radiation intensity and spectrum, and temperature as variable inputs) and in-field testing rigs (fixed tilted platforms, single-axis and dual-axis tracking systems), on-grid and off-grid connected PV systems. Based on the experimental data collected in the RES-REC Centre, recommendations are formulated on the need for accurate tracked PV system design, avoiding over- or under-estimating the output, thus allowing the implementation of feasible and efficient solutions.

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References

  1. California Institute of Technology (2005). Report of the basic energy sciences workshop on solar energy utilization, April 18–21, 2005.

    Google Scholar 

  2. Sungur, C. (2007). Sun-tracking system with PLC control for photo-voltaic panels. International Journal of Green Energy, 4(6), 635–643.

    Article  Google Scholar 

  3. Moldovan, M. D., Visa, I., & Burduhos, B. G. (2011). Energetic Autonomy for a Solar House. Environmental Engineering and Management Journal, 10(9), 1283–1290.

    Google Scholar 

  4. Abdallah, S. (2004). The effect of using sun tracking systems on the voltage–current characteristics and power generation of flat plate photovoltaics. Energy Conversion and Management, 45, 1671–1679.

    Article  Google Scholar 

  5. Karimova, Kh S, Saqibb, M. A., Akhterc, P., Ahmedd, M. M., Chatthad, J. A., & Yousafzaid, S. A. (2005). A simple photo-voltaic tracking system. Solar Energy Materials and Solar Cells, 87, 49–59.

    Article  Google Scholar 

  6. Tracstar. Should you install a solar tracker? http://www.helmholz.us/smallpowersystems/.

  7. Bione, J., Vilela, O. C., & Fraidenraich, N. (2004). Comparison of the performance of PV water pumping systems driven by fixed, tracking and V-trough generators. Solar Energy, 76, 703–711.

    Article  Google Scholar 

  8. Abu-Khader, M. M., Badran, O., & Abdallah, S. (2008). Evaluating multi-axes sun tracking system at different modes of operation in Jordan. Renewable and Sustainable Energy Reviews, 12(3), 864–873.

    Article  Google Scholar 

  9. Singh, B., & Othman, M. Y. (2009). A review on photovoltaic thermal collectors. Journal of Renewable and Sustainable Energy, 1(6), 062702.

    Article  Google Scholar 

  10. Fahl, P., & Ganapathisubbu, S. (2011). Tracking benefits for solar collectors installed in Bangalore. Journal of Renewable and Sustainable Energy, 3(2), 023103.

    Article  Google Scholar 

  11. Helwa, N., Bahgat, A., El Shafee, A., & El Shennawy, E. (2000). Maximum collectable solar energy by different solar tracking systems. Energy Sources, 22, 23–34.

    Article  Google Scholar 

  12. Maatallah, T., El Alimi, S., & Nassrallah, S. B. (2011). Performance modeling and investigation of fixed, single and dual-axis tracking photovoltaic panel in Monastir city. Tunisia, Renewable and Sustainable Energy Reviews, 15, 4053–4066.

    Article  Google Scholar 

  13. Meek, D. W. (1997). Estimation of maximum possible daily global solar radiation. Agricultural and Forest Meteorology, 87, 223–241.

    Article  Google Scholar 

  14. Seme, S., & Stumberger, G. (2011). A novel prediction algorithm for solar angles using solar radiation and differential evolution for dual-axis sun tracking purposes. Solar Energy, 85(11), 2757–2770.

    Article  Google Scholar 

  15. Armstrong, S., & Hurley, W. G. (2010). A new methodology to optimise solar energy extraction under cloudy conditions. Renewable Energy, 35, 780–787.

    Article  Google Scholar 

  16. Goswami, D. J., Kreith, K., & Kreider, J. F. (1999). Principles of solar engineering. Philadelphia: George H. Buchanan Co.

    Google Scholar 

  17. Visa I. Renewable energy systems: case study—solar energy conversion systems. In The 11th IFToMM International Symposium on Science of Mechanisms and Machines, Mechanisms and Machine Science 18, Springer Pub., 31–49, 2014.

    Google Scholar 

  18. Visa, I., Diaconescu, D. V., Saulescu, R. G., Vatasescu, M. M., & Burduhos, B. G. (2011). A new linkage with linear actuator for tracking PV systems with large angular stroke. Chinese Journal of Mechanical Engineering, 24(5), 744–751.

    Article  Google Scholar 

  19. Neagoe, M., Vatasescu, M., Saulescu, R., & Creanga, N. (2012). On new high performance systems with linear actuators for diurnal orientation of PV platforms. Applied Mechanics and Materials, 162, 214–223.

    Article  Google Scholar 

  20. Meliss, M. (1997). Regenerative Energiequellen—Praktikum. Berlin, Heidelberg: Springer.

    Book  Google Scholar 

  21. Burduhos B. G., Visa I., Neagoe M., & Badea M. (2014). Modeling and optimization of the global solar irradiance collecting efficiency. International Journal of Green Energy, 2014 (accepted for publication).

    Google Scholar 

  22. Burduhos B. G., Visa I., Diaconescu D. V., & Saulescu R. G. (2009). Novel orientation step-program of a pseudo-equatorially tracked PV panel. In Proceedings of 24th EU PVSEC: 3835–3843, 2009.

    Google Scholar 

  23. Burduhos, B. G., Toma, C., Neagoe, M., & Moldovan, M. D. (2011). Pseudo-equatorial tracking optimization for small photovoltaic platforms from Toronto/Canada. Environmental Engineering and Management Journal, 10(8), 1059–1068.

    Google Scholar 

  24. Visa, I., Diaconescu, D. V., Popa, V. M., & Burduhos, B. G. (2009). Quantitative estimation of the solar radiation loss in the Brasov area. Environmental Engineering and Management Journal, 8(4), 843–847.

    Google Scholar 

  25. Kelly, N., & Gibson, T. (2009). Improved photovoltaic energy output for cloudy conditions with a solar tracking system. Solar Energy, 83, 2092–2102.

    Article  Google Scholar 

  26. Kelly, N., & Gibson, T. (2011). Increasing the solar photovoltaic energy capture on sunny and cloudy days. Solar Energy, 85, 111–125.

    Article  Google Scholar 

  27. Liu, G. Y., Ren, Y., & Nguang, S. K. (2012). Simulated photovoltaic array systems under a changing environment for temporal performance. International Journal of Green Energy, 9(7), 673–684.

    Article  Google Scholar 

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Acknowledgments

This work was done in the frame of the Program: Cooperation in Priority Fields - PNII, developed with the support of ANCS, CNDI-UEFISCDI, Romania in the project EST IN URBA, PN-II-PT-PCCA-2011-3.2-051.

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Correspondence to Mircea Neagoe .

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Neagoe, M., Visa, I., Burduhos, B. (2014). Increasing the Tracking Efficiency of Photovoltaic Systems. In: Visa, I. (eds) Sustainable Energy in the Built Environment - Steps Towards nZEB. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-09707-7_33

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  • DOI: https://doi.org/10.1007/978-3-319-09707-7_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09706-0

  • Online ISBN: 978-3-319-09707-7

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