Dual-axis schedule tracker with an adaptive algorithm for a strong scattering of sunbeam
Saymbetov A. Mekhilef S. Kuttybay N. Nurgaliyev M. Tukymbekov D. Meiirkhanov A. Dosymbetova G. Svanbayev Y.
August 2021Elsevier Ltd
Solar Energy
2021#224285 - 297 pp.
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, todays 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 suns 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 high-power 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.
Adaptive algorithm , An electronic control unit , Dual-axis solar tracker , Efficiency of solar panels , Exact orientation to the sun , Schedule based solar trackers
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Al-Farabi Kazakh National University, Faculty of Physics and Technology, 71 al-Farabi Ave., Almaty, Kazakhstan
Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia
School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, 3122, VIC, Australia
Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
Al-Farabi Kazakh National University
Power Electronics and Renewable Energy Research Laboratory
School of Software and Electrical Engineering
Center of Research Excellence in Renewable Energy and Power Systems
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