New approach for solar tracking systems based on computer vision, low cost hardware and deep learning

Jose A. Carballo, Javier Bonilla, Manuel Berenguel, Jesús Fernández-Reche and Ginés García

Renewable Energy, 2019, vol. 133, issue C, 1158-1166

Abstract: In this work, a new approach for Sun tracking systems is presented. Due to the current system limitations regarding costs and operational problems, a new approach based on low cost, computer vision open hardware and deep learning has been developed. The preliminary tests carried out successfully in Plataforma solar de Almería (PSA), reveal the great potential and show the new approach as a good alternative to traditional systems. The proposed approach can provide key variables for the Sun tracking system control like cloud movements prediction, block and shadow detection, atmospheric attenuation or measures of concentrated solar radiation, which can improve the control strategies of the system and therefore the system performance.

Keywords: Solar energy; Sun tracking; Computer vision; Deep learning; Convolutional neural networks (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:133:y:2019:i:c:p:1158-1166

DOI: 10.1016/j.renene.2018.08.101

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