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Qualitative Analysis of Stochastic Operations in Dual Axis Solar Tracking Environment

Author Affiliations

  • 1Department of Electronic and Communication Engineering, University, Tenaga Nasional, Jalan Ikram-Uniten, Kajang, Selangor, MALAYSIA

Res. J. Recent Sci., Volume 1, Issue (9), Pages 74-78, September,2 (2012)


This research reviews the major contributions to the solar tracking field from a normal mechanical turning single axis to double axis which continuously evolve to the application of different evolutional algorithm’s methods in optimizing solar tracking system. This literature review shows that heuristic methods have outperformed other classical approaches in maximizing the performance of solar tracking system. Detailed discussion on solar tracker together with the evolution of artificial intelligent methods such as genetic algorithm simulated annealing and threshold acceptance is materialised in this paper. In this research, genetic algorithm has been identified with its superiority in searching for optimal solution due to its robustness. Both software and hardware have been developed to simulate related genetic algorithm results compared to different optimization search. Simulation results demonstrated the ability of GA to converge to best fitness value at 0.98021 with the axles X and Y pointing to +3 degree and +2 degree respectively in relation to sun’s position compared to simulated annealing and threshold acceptance.


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