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Asian Journal of Materials Science
  Year: 2017 | Volume: 9 | Issue: 1 | Page No.: 1-9
DOI: 10.3923/ajmskr.2017.1.9
Spectrally Solar Selective Coatings in Absorbing Layers: Theoretical Investigation Using MATLAB
Azeez Abdullah Azeez Barzinjy , Haidar Jalal Ismail and Kadhim Qasim Jabbar

Abstract:
Background: In order to describe the spectral reflectivity of the multilayered selective coating, a theoretical investigation of the optical properties was settled. Materials and Methods: Since the reflectance spectrum involve the matrix operation, hence in this theoretical investigation MATLAB® is utilized to investigate and foresee nanostructured solar selective coatings in solar thermal collectors. The nanostructured pure layer such as Au, Ni, Cr and Ag utilized and sandwiched aluminium nitride (AlN) solar selective coating. A demonstrative solar absorber has been studied regarding optical characterization and calculation improvements. It can be seen that copper has good ultraviolet (UV), moisture and environmental steadiness for c.a. 600 h in air up to c.a. 230-250°C. While Ni, Cr and Ag coating have been cited in the literature for high-temperature applications and they possess better stability. Additionally, two different grades of stainless-steel namely one austenitic (832 MV) and one ferritic (393 M) has been examined. Results: The austenitic steels have a higher absorptance than the ferritic steels and other utilized metals. Another challenge was measuring the efficiency of solar thermal energy conversion systems; it was found that Ferritic-SS has the best photothermal conversion efficiency among the examined metals. Conclusion: The theoretical results found in this study, in general, were in respectable agreement with the experimental results.
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How to cite this article:

Azeez Abdullah Azeez Barzinjy, Haidar Jalal Ismail and Kadhim Qasim Jabbar, 2017. Spectrally Solar Selective Coatings in Absorbing Layers: Theoretical Investigation Using MATLAB. Asian Journal of Materials Science, 9: 1-9.

DOI: 10.3923/ajmskr.2017.1.9

URL: https://scialert.net/abstract/?doi=ajmskr.2017.1.9

 
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