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A study on luminous efficacy of global radiation under clear sky conditions in Athens, Greece

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  • Tsikaloudaki, Katerina

Abstract

The current interest in energy efficient design has led to a demand for methods of predicting daylight availability in buildings. However, basic daylight data, which are the basis of these prediction methods, are not available for most regions of Greece, as well as for many areas worldwide. For that purpose luminous efficacy can be used in order to generate daylight illuminance from solar radiation data, which are much more widely recorded.

Suggested Citation

  • Tsikaloudaki, Katerina, 2005. "A study on luminous efficacy of global radiation under clear sky conditions in Athens, Greece," Renewable Energy, Elsevier, vol. 30(4), pages 551-563.
  • Handle: RePEc:eee:renene:v:30:y:2005:i:4:p:551-563
    DOI: 10.1016/j.renene.2004.07.009
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    Cited by:

    1. Janjai, S. & Prathumsit, J. & Buntoung, S. & Wattan, R. & Pattarapanitchai, S. & Masiri, I., 2014. "Modeling the luminous efficacy of direct and diffuse solar radiation using information on cloud, aerosol and water vapor in the tropics," Renewable Energy, Elsevier, vol. 66(C), pages 111-117.
    2. Alrubaih, M.S. & Zain, M.F.M. & Alghoul, M.A. & Ibrahim, N.L.N. & Shameri, M.A. & Elayeb, Omkalthum, 2013. "Research and development on aspects of daylighting fundamentals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 494-505.
    3. Pattarapanitchai, S. & Janjai, S. & Tohsing, K. & Prathumsit, J., 2015. "A technique to map monthly average global illuminance from satellite data in the tropics using a simple semi-empirical model," Renewable Energy, Elsevier, vol. 74(C), pages 170-175.
    4. Li, Danny H.W. & Lam, Tony N.T. & Cheung, K.L. & Tang, H.L., 2008. "An analysis of luminous efficacies under the CIE standard skies," Renewable Energy, Elsevier, vol. 33(11), pages 2357-2365.
    5. Li, Danny H.W. & Aghimien, Emmanuel I. & Tsang, Ernest K.W., 2022. "Application of artificial neural networks in horizontal luminous efficacy modeling," Renewable Energy, Elsevier, vol. 197(C), pages 864-878.

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