Improving the systems for controlling ground-based sun orientation devices

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.302499

Keywords:

astronomical-geographic model of solar orientation, automatic ground trackers, microcontroller program algorithm

Abstract

The control system for terrestrial two-axis devices for orientation to the Sun has been improved with a high-speed microcontroller operation algorithm. A geomagnetic sensor was introduced into the system to increase the reliability of monitoring the positioning of solar cells. The basis of the algorithm is a simplified astronomical and geographical model of the movement of the Sun in the celestial sphere. The control system automatically tracks the trajectory of the Sun and calculates its angular coordinates for the current moment of time on any day of the year and for any point on the globe. The derived equations of the simplified mathematical model are suitable for calculations of orientation angles to the Sun in real time on 8-bit microcontrollers with low computing power. The control system by AVR-328 microcontrollers was studied. It was established that the use of the algorithm when programming microcontrollers for two-axis orientation systems ensures high stability and reliability of the tracker`s functioning process. The technical parameters of the AVR-328 microcontrollers in the case of using the developed algorithm ensure that the control system performs one reorientation step in a time interval of less than 2 seconds, which ensures the minimum technical period of the reorientation process by the tracker drive mechanisms which is about 5 seconds. Deviations of the calculated orientation angle from the exact value do not exceed 3°, which corresponds to the relative accuracy of recording the solar radiation intensity, which is less than 0.3 %. The microcontroller program written according to the developed simplified algorithm occupies about 35 % of its memory. Therefore, the use of the developed algorithm frees up the resources of AVR-328 microcontrollers for performing additional data processing operations and automatic control over various additional devices related to the process of orientation to the Sun. In the case of solar energy, the algorithm ensures the use of about 98 % of the power of solar radiation

Author Biographies

Valentyn Ivanytsky, Uzhhorod National University

Doctor of Physical and Mathematical Sciences, Professor

Department of Instrument Engineering

Roman Meshko, Uzhhorod National University

Senior Lecturer

Department of Instrument Engineering

Igor Chychura, Uzhhorod National University

PhD, Head of Department

Department of Instrument Engineering

Myhajlo Rjaboschuk, Uzhhorod National University

PhD

Department of Instrument Engineering

Serhii Tiutiunnykov, Uzhhorod National University

Senior Lecturer

Department of Instrument Engineering

References

  1. Seong, J. C. (2015). Sun position calculator (SPC) for Landsat imagery with geodetic latitudes. Computers & Geosciences, 85, 68–74. https://doi.org/10.1016/j.cageo.2015.09.011
  2. Karttunen, H., Kröger, P., Oja, H., Poutanen, M., Donner, K. J. (Eds.) (2017). Fundamental Astronomy. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-53045-0
  3. Ivanytsky, V. P., Ryaboschuk, M. M., Stoika, M. V., Tiutiunnykov, S. V. (2021). Astronomical and geographical model for programming microcontrollers of ground-based trackers. Science and Education a New Dimension, IX (255) (32), 11–13. https://doi.org/10.31174/send-nt2021-255ix32-02
  4. Saeedi, M., Effatnejad, R. (2021). A New Design of Dual-Axis Solar Tracking System With LDR Sensors by Using the Wheatstone Bridge Circuit. IEEE Sensors Journal, 21 (13), 14915–14922. https://doi.org/10.1109/jsen.2021.3072876
  5. Amadi, H. N., Gutierrez, S. (2019). Design and Performance Evaluation of a Dual-Axis Solar Tracking System for Rural Applications. European Journal of Electrical Engineering and Computer Science, 3 (1). https://doi.org/10.24018/ejece.2019.3.1.52
  6. Singh, R., Kumar, S., Gehlot, A., Pachauri, R. (2018). An imperative role of sun trackers in photovoltaic technology: A review. Renewable and Sustainable Energy Reviews, 82, 3263–3278. https://doi.org/10.1016/j.rser.2017.10.018
  7. Saymbetov, A. K., Nurgaliyev, M. K., Tulkibaiuly, Ye., Toshmurodov, Yo. K., Nalibayev, Ye. D., Dosymbetova, G. B. et al. (2018). Method for Increasing the Efficiency of a Biaxial Solar Tracker with Exact Solar Orientation. Applied Solar Energy, 54 (2), 126–130. https://doi.org/10.3103/s0003701x18020111
  8. AL-Rousan, N., Isa, N. A. M., Desa, M. K. M. (2018). Advances in solar photovoltaic tracking systems: A review. Renewable and Sustainable Energy Reviews, 82, 2548–2569. https://doi.org/10.1016/j.rser.2017.09.077
  9. The tracking system of the sun ST1500. Available at: https://greenchip.com.ua/26-0-196-2.html
  10. Mpodi, E. K., Tjiparuro, Z., Matsebe, O. (2019). Review of dual axis solar tracking and development of its functional model. Procedia Manufacturing, 35, 580–588. https://doi.org/10.1016/j.promfg.2019.05.082
  11. Hoffmann, F. M., Molz, R. F., Kothe, J. V., Nara, E. O. B., Tedesco, L. P. C. (2018). Monthly profile analysis based on a two-axis solar tracker proposal for photovoltaic panels. Renewable Energy, 115, 750–759. https://doi.org/10.1016/j.renene.2017.08.079
  12. Robles, C. A., Castro, A. O., Naranjo, J. C. (2017). Dual-axis solar tracker for using in photovoltaic systems. International Journal of Renewable Energy Research, 7 (1), 137–145.doi: https://doi.org/10.20508/ijrer.v7i1.5147.g6973
  13. Sidek, M. H. M., Azis, N., Hasan, W. Z. W., Ab Kadir, M. Z. A., Shafie, S., Radzi, M. A. M. (2017). Automated positioning dual-axis solar tracking system with precision elevation and azimuth angle control. Energy, 124, 160–170. https://doi.org/10.1016/j.energy.2017.02.001
  14. Zhu, Y., Liu, J., Yang, X. (2020). Design and performance analysis of a solar tracking system with a novel single-axis tracking structure to maximize energy collection. Applied Energy, 264, 114647. https://doi.org/10.1016/j.apenergy.2020.114647
  15. Guide to Meteorological Instruments and Methods of Observation. (2017). World Meteorological Organization. Geneva. https://doi.org/10.25607/OBP-432
  16. Mazidi, M., Naimi, Sa., Naimi, Se. (2014). The AVR microcontroller and embedded systems: using Assembly and C. Boston: Pearson. Available at: https://api.pageplace.de/preview/DT0400.9781292054339_A24572125/preview-9781292054339_A24572125.pdf
  17. Software. Available at: https://www.arduino.cc/en/software
Improving the systems for controlling ground-based sun orientation devices

Downloads

Published

2024-04-30

How to Cite

Ivanytsky, V., Meshko, R., Chychura, I., Rjaboschuk, M., & Tiutiunnykov, S. (2024). Improving the systems for controlling ground-based sun orientation devices. Eastern-European Journal of Enterprise Technologies, 2(9 (128), 53–62. https://doi.org/10.15587/1729-4061.2024.302499

Issue

Section

Information and controlling system