ENERGY EFFICIENCY OF PHOTOVOLTAIC PANELS DEPENDING ON THE STEP RESOLUTION OF TRACKING SYSTEM

Kamil Płachta

kamil.plachta@pwr.edu.pl
Wroclaw University of Science and Technology, Faculty of Electronics, Photonics and Microsystems (Poland)
https://orcid.org/0000-0001-6278-1488

Abstract

The article presents an energy analysis of a 3.5 kWp photovoltaic installation placed on a two-axis tracking system, depending on resolution of step tracking system, that tracks apparent position of the Sun on the celestial sphere. Measurements were taken during July and August, months with similar solar radiation intensity. During the first month, the tracking system changed the spatial orientation of the photovoltaic panels with a frequency of 20 minutes, while in the second month the resolution of the tracking step was 120 minutes. The total energy production by the photovoltaic installation cooperating with the tracking system was 589.5 kWh and 579.85 kWh, for a tracking step resolution of 20 and 120 minutes, respectively. The monthly difference between the two analysed periods does not exceed 1.7%. However, when analysing the days with the highest energy production – exceeding 28 kWh/day, the photovoltaic installation which changed its spatial orientation with greater frequency produced 309.83 kWh, and with a smaller one 259.88 kWh. In the case of sunny, cloudless days, the difference in the efficiency of both solutions is equal to 19%. During days with lower solar radiation, the efficiency of the photovoltaic installations was similar. It can be concluded that increasing the step resolution of the tracking system increases energy production on sunny, cloudless days. It should be taken into account that increasing the frequency of changing the position of photovoltaic panels increased energy consumption by tracker motors from 2.48 kWh to 3.75 kWh, which constitutes 13.2% of the energy gain obtained over the entire tested period, but less than 1% during days with the highest amount of solar radiation.


Keywords:

photovoltaic panels, solar tracker, solar map, efficiency of energy production

Bartczak M.: On the capacity of solar cells under partial shading conditions. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska – IAPGOS 11(4), 2021, 47–50.
  Google Scholar

Belhachat F., Larbes C.: A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions. Renewable and Sustainable Energy Reviews 92, 2018, 513–553.
  Google Scholar

Bentata K., Mohammedi A., Benslimane T.: Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition. Archives of Control Sciences 2021, 495–526.
  Google Scholar

Bollipo R., Mikkili S., Bonthagorla P.: Critical review on PV MPPT techniques: classical, intelligent and optimisation. IET Renewable Power Generation 14(9), 2020, 1433–1452.
  Google Scholar

Clifford M., Eastwood D.: Design of a novel passive solar tracker. Solar Energy 77, 2004, 269–280.
  Google Scholar

Dadi V., Peravali S.: Optimization of light-dependent resistor sensor for the application of solar energy tracking system. SN Applied Sciences 2(9), 2020.
  Google Scholar

Duarte F., Gaspar P., Gonçalves L.: Two axes solar tracker based on solar maps, controlled by a low-power microcontroller. Journal of Energy and Power Engineering 5(7), 2011.
  Google Scholar

Fathabadi H.: Novel high accurate sensorless dual-axis solar tracking system controlled by maximum power point tracking unit of photovoltaic systems. Applied Energy 173, 2016, 448–459.
  Google Scholar

Fathabadi H.: Novel online sensorless dual-axis sun tracker. IEEE/ASME transactions on mechatronics 22(1), 2016, 321–328.
  Google Scholar

Karttunen H. et al.: Fundamental Astronomy. Springer 2014.
  Google Scholar

Lan J.: Development and performance test of a novel solar tracking sensor. Metrology and Measurement Systems 2023, 2023, 289–303.
  Google Scholar

Mah A., Ho W., Hassim M., Hashim H.: Optimization of Photovoltaic Array Orientation and Performance Evaluation of Solar Tracking Systems. Chemical Engineering Transactions 83, 2021, 109–114.
  Google Scholar

Melo K., Tavares L., Villalva M.: Statistical Analysis of Solar Position Calculation Algorithms: SPA and Grena 1–5. IEEE Latin America Transactions 19(7), 2021, 1145–1152.
  Google Scholar

Mroczka J., Ostrowski M.: A hybrid maximum power point search method using temperature measurements in partial shading conditions. Metrology and Measurement Systems (4), 2014.
  Google Scholar

Mroczka J., Ostrowski M.: Maximum power point search method for photovoltaic panels which uses a light sensor in the conditions of real shading and temperature. Modeling Aspects in Optical Metrology V, 2015, 371–378.
  Google Scholar

Mroczka J., Ostrowski M.: A hybrid maximum power point tracking algorithm that uses the illumination and the temperature sensor in solar tracking systems. Nonlinear Optics and Applications XI, 2019, 237–243.
  Google Scholar

Prinsloo G., Dobson R.: Solar Tracking, 2015.
  Google Scholar

Salgado-Conrado L.: A review on sun position sensors used in solar applications, Renewable and Sustainable Energy Reviews 82, 2018, 2128–2146.
  Google Scholar

Sidek M. et al.: Automated positioning dual-axis solar tracking system with precision elevation and azimuth angle control. Energy 124, 2017, 160–170.
  Google Scholar

Talha A., Boumaaraf H., Bouhali O.: Evaluation of maximum power point tracking methods for photovoltaic systems. Archives of Control Sciences, 2011.
  Google Scholar

Wu C., Wang H., Chang H.: Dual-axis solar tracker with satellite compass and inclinometer for automatic positioning and tracking. Energy for Sustainable Development 66, 2022, 308–318.
  Google Scholar

Download


Published
2024-03-31

Cited by

Płachta, K. (2024). ENERGY EFFICIENCY OF PHOTOVOLTAIC PANELS DEPENDING ON THE STEP RESOLUTION OF TRACKING SYSTEM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(1), 32–36. https://doi.org/10.35784/iapgos.5777

Authors

Kamil Płachta 
kamil.plachta@pwr.edu.pl
Wroclaw University of Science and Technology, Faculty of Electronics, Photonics and Microsystems Poland
https://orcid.org/0000-0001-6278-1488

Statistics

Abstract views: 42
PDF downloads: 48


License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.