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Journal of Artificial Intelligence and Metaheuristics
Volume 3 , Issue 1, PP: 31-41 , 2023 | Cite this article as | XML | Html |PDF

Title

Solar Tracking System Using pixel identification algorithm

  Nader Behdad 1 * ,   Sunil Kumar 2

1  Electrical and Computer Engineering , The Polytechnic University of the Philippines, Manila, 1016, Philippines
    (ohowpy@gmail.com)

2  School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248001, India
    (skumar@ddn.upes.ac.in)


Doi   :   https://doi.org/10.54216/JAIM.030103

Received: March 14, 2022 Revised: August 02, 2022 Accepted: January 02, 2023

Abstract :

On cloudy days, an intelligent technique to optimizing the direction of continuous sun tracking devices is proposed in this research. When it comes to weather, direct sunlight is more essential than diffuse radiation in a clear sky. As a result, the panel is always pointing towards the sun. When the sky is overcast, the solar beam is near to zero, and the panel is positioned horizontally to receive the most dispersed radiation. Under partially covered conditions, the panel must be aimed at the source emitting the most solar energy, which can be located anywhere in the sky dome. Thus, the idea behind our technique is to analyze images taken by a ground-based sky camera system in order to identify the zone in the sky dome that is thought to be the best source of energy under foggy situations. The proposed method is put into practice utilizing an experimental setup built at Mansoura city in north Egypt. The findings were quite good under overcast situations, and the intelligent technique gave efficiency gains of up to 9% compared to typical continuous sun tracking systems.

Keywords :

Clouds detection; Deep learning; Photovoltaic; Sun tracker;

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Cite this Article as :
Style #
MLA Nader Behdad, Sunil Kumar. "Solar Tracking System Using pixel identification algorithm." Journal of Artificial Intelligence and Metaheuristics, Vol. 3, No. 1, 2023 ,PP. 31-41 (Doi   :  https://doi.org/10.54216/JAIM.030103)
APA Nader Behdad, Sunil Kumar. (2023). Solar Tracking System Using pixel identification algorithm. Journal of Journal of Artificial Intelligence and Metaheuristics, 3 ( 1 ), 31-41 (Doi   :  https://doi.org/10.54216/JAIM.030103)
Chicago Nader Behdad, Sunil Kumar. "Solar Tracking System Using pixel identification algorithm." Journal of Journal of Artificial Intelligence and Metaheuristics, 3 no. 1 (2023): 31-41 (Doi   :  https://doi.org/10.54216/JAIM.030103)
Harvard Nader Behdad, Sunil Kumar. (2023). Solar Tracking System Using pixel identification algorithm. Journal of Journal of Artificial Intelligence and Metaheuristics, 3 ( 1 ), 31-41 (Doi   :  https://doi.org/10.54216/JAIM.030103)
Vancouver Nader Behdad, Sunil Kumar. Solar Tracking System Using pixel identification algorithm. Journal of Journal of Artificial Intelligence and Metaheuristics, (2023); 3 ( 1 ): 31-41 (Doi   :  https://doi.org/10.54216/JAIM.030103)
IEEE Nader Behdad, Sunil Kumar, Solar Tracking System Using pixel identification algorithm, Journal of Journal of Artificial Intelligence and Metaheuristics, Vol. 3 , No. 1 , (2023) : 31-41 (Doi   :  https://doi.org/10.54216/JAIM.030103)