https://doi.org/10.1051/epjconf/202532605010
Energy efficiency investigation of sun-path tracker systems
1 Laboratory of Industrial and Civil Sciences and Technologies (Lab STIC), ENSA University Abdelmalek Essaadi, Tetouan, Morocco.
2 Laboratory of Innovative Technologies, National School of Applied Sciences, Tangier, Abdelmalek Essaadi University, Tetouan, Morocco.
3 National School of Applied Sciences, Beni Mellal, Sultan Moulay Slimane University, Morocco. abdellatif.hraich@etu.uae.ac.ma, ahaddi1@uae.ac.ma, aelfadar@uae.ac.ma, achkaribegdouri.oussama@etu.uae.ac.ma
Published online: 21 May 2025
Nowadays, the world is mobilizing to utilize renewable energy sources in nearly every sector to combat pollution. Their design relies on efficiently controlling intermittent energy production through two-way communication between energy generation and consumption, across the entire power grid value chain. The primary objective of this study is to conduct a comparative energy analysis of different Sun Path Trackers. Its offers solutions to optimize photovoltaic energy production through experimentation that incorporates different degrees of freedom photovoltaic panels mounted in mobile bracket and artificial intelligence optimization using stochastic algorithms. The energy data from the photovoltaic panels are stored based via the concept of connected objects (energy internet). This work could enhance the conversion efficiency of the photovoltaic panels by using the sun-tracking technique and the Sun Algorithm Position via Astronomic calculation in the same line. Based on the obtained results, the solution using sun path tracker provides energy yields significantly higher than fixed solar panels.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
