Saymbetov, Ahmet and Mekhilef, Saad and Kuttybay, Nurzhigit and Nurgaliyev, Madiyar and Tukymbekov, Didar and Meiirkhanov, Aibolat and Dosymbetova, Gulbakhar and Svanbayev, Yeldos (2021) Dual-axis schedule tracker with an adaptive algorithm for a strong scattering of sunbeam. Solar Energy, 224. pp. 285-297. ISSN 0038-092X, DOI https://doi.org/10.1016/j.solener.2021.06.024.
Full text not available from this repository.Abstract
The efficiency of photovoltaic panels is one of the main challenges of solar energy today. The sharp decline in solar cell performance in cloudy weather is the most significantlimiting factor for the transition to a green economy. As a result, today's priority task is the development of various algorithms to improve the performance of solar cells in cloudy weather. This paper compares the performance of dual-axis schedule tracker and dual-axis schedule tracker with an adaptive algorithm for a strong scattering of the sun's rays by clouds. A comparative analysis of the manufactured trackersoperation in adverse weather conditions was performedand with the use of small solar panels, an effective method was proposed for determining the minimum flow of solar energy entering the surface of photovoltaic installations with strong cloud scattering. The developed dual-axis method of tracking the sun is 41% more efficient than the dual-axis schedule tracker. The energy produced by trackers with highpower panels for three months in the previous threeyears was also estimated using availablemeteorological data in Almaty, Kazakhstan. The results obtained can be used to design solar trackers in areas with a high probability of intensesolar energy scattering on clouds.
| Item Type: | Article |
|---|---|
| Funders: | Government of the Republic of Kazakhstan Ministry of Education and Science of the Republic of Kazakhstan [Grant No: AP05132464] |
| Uncontrolled Keywords: | Dual-axis solar tracker; Exact orientation to the sun; Schedule based solar trackers; Efficiency of solar panels; Adaptive algorithm; An electronic control unit |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Jul 2022 07:38 |
| Last Modified: | 13 Jul 2022 07:38 |
| URI: | http://eprints.um.edu.my/id/eprint/33904 |
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