Computer Vision of Optimal Geometric Concentration Ratio for the Solar Ball Lens

Authors

  • Sabah M. Hadi Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq
  • Manal M. Abdullah Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq
  • Mohamed S. Mahdi Department of solar energy, renewable energy directorate, Ministry of science and technology, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2022.63.9.7

Keywords:

solar ball lens, image processing, diacaustic curve, circle of least confusion (CLC)

Abstract

      This research evaluates the optical properties of an inhomogeneous and non-paraxial system using a solar ball lens (SBL) as a new thermal solar concentrated collector. This evaluation is based on detecting a diacaustic curve in a straightforward and accurate manner, with the diagnostic relying on image processing as a computational tool using the MATLAB program rather than a complicated numerical analytic procedure. The circle of least confusion (CLC) of the (SBL), (Fluorinated ethylene propylene (FEP) polymer – water core), was calculated. Furthermore, the study evaluated the maximum geometrical concentration ratio (G C) of refracted solar radiation that can be captured by a receiver of the (SBL). Without energy losses due to spherical aberration, the (G C) ratio was (14.10) at (h/r) ratio, circular aperture radius to ball radius, around (0.6). The investigation also revealed an aplanatic point for preventing the development of optical envelope inside the solar ball lens at (h/r) equal to 0.8638, as well as a maximum (h/r) value of 0.7351 for collecting solar radiation.

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Published

2022-09-30

Issue

Section

Physics

How to Cite

Computer Vision of Optimal Geometric Concentration Ratio for the Solar Ball Lens. (2022). Iraqi Journal of Science, 63(9), 3727-3736. https://doi.org/10.24996/ijs.2022.63.9.7
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