Open AccessA Novel Solar Tracker Based on Omnidirectional Computer Vision
Author(s) -
Zakaria El Kadmiri,
Omar El Kadmiri,
Lhoussaine Masmoudi,
Mohammed Najib Bargach
Publication year - 2015
Publication title -
journal of solar energy
Language(s) - English
Resource type - Journals
eISSN - 2356-7635
pISSN - 2314-6230
DOI - 10.1155/2015/149852
Subject(s) - catadioptric system , azimuth , omnidirectional antenna , computer science , solar tracker , computer vision , artificial intelligence , photovoltaic system , orientation (vector space) , tracking (education) , tracking system , field of view , track (disk drive) , engineering , optics , electrical engineering , antenna (radio) , physics , kalman filter , psychology , telecommunications , pedagogy , geometry , mathematics , lens (geology) , operating system
This paper presents a novel solar tracker system based on omnidirectional vision technology. The analysis of acquired images with a catadioptric camera allows extracting accurate information about the sun position toward both elevation and azimuth. The main advantages of this system are its wide field of tracking of 360° horizontally and 200° vertically. The system has the ability to track the sun in real time independently of the spatiotemporal coordinates of the site. The extracted information is used to control the two DC motors of the dual-axis mechanism to achieve the optimal orientation of the photovoltaic panels with the aim of increasing the power generation. Several experimental studies have been conducted and the obtained results confirm the power generation efficiency of the proposed solar tracker
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