Abstract
In this paper, a performance analysis of a photovoltaic (PV) tracking system is conducted, to evaluate its performance based on field data measurement. A dual-axis tracker with smart algorithms called maximum light detection (MLD) applied in the solar energy generation system is analyzed. In a tropical country that having a massive cloud cover throughout the year, the sky condition is categorized as sunny, intermittent and gloomy. The comparative results show that the system with MLD tracker improved the energy generation significantly all sky conditions.
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Ahmad Fazlizan is a Research Fellow at the Solar Energy Research Institute, Universiti Kebangsaan Malaysia. He obtained his B.Eng. in Mechanical Engineering from Universiti Teknologi Malaysia, M.Eng. from University of Malaya (UM) and Ph.D. in Renewable Energy also from UM. His research interest is in Renewable Energy especially Wind Energy and Green Technology. He has published a significant number of technical papers in the high-ranked journals mainly in engineering and renewable energy research.
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Fazlizan, A., Abdulmula, A., Amran, A.N. et al. Performance evaluation of maximum light detection solar tracking system in the tropics. J Mech Sci Technol 33, 1391–1397 (2019). https://doi.org/10.1007/s12206-019-0240-2
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DOI: https://doi.org/10.1007/s12206-019-0240-2