Development of Sky Luminance and Daylight Illuminance Prediction Methods for Lighting Energy Saving in Office Buildings

  • Kim, Chul-Ho
  • Kim, Kang-Soo
Citations

WEB OF SCIENCE

25
Citations

SCOPUS

28

초록

Accurately predicting indoor illuminance from daylight during the early stages of building design is an important factor in saving energy and the costs associated with lighting. The objective of this study was to predict sky luminance distribution using the Commission Internationale de l'eclairage (CIE) standard sky model, and propose a method that can be used to predict indoor illuminance. Results obtained from the proposed prediction method were compared and verified with simulation values obtained by Desktop Radiance. From the CIE overcast sky, the zenith/horizon ratio was 3:1. From the CIE clear sky, the luminance value was highest around the sun. In contrast, the luminance value was lowest in the opposite direction of the sun when the angle between the sun and sky elements was 90 degrees. In addition, this study suggested an indoor illuminance prediction method by applying the effects of sky luminance, direct sunlight, and wall reflection elements. When the proposed equation's calculation results were compared with Desktop Radiance simulation's value in overcast and clear sky, all statistically analysis (R-2, MBE, Cv(RMSE), t-value, p-value) satisfied each standard and showed high correlations. Consequently, it was established that the predicted indoor illuminance obtained from the proposed prediction method was accurate and can be used to predict the level of indoor illuminance. The results further revealed that it is possible to calculate indoor illuminance when installing blinds, by substituting variable values of visible light transmittance (VLT).

키워드

prediction methodsky luminancedaylight illuminancedelight algorithmCIE standard clear skyCIE standard overcast skylighting energydesktop radianceMODEL PHOTOMETRYRADIANCEDISTRIBUTIONSINTEGRATIONSKIES
제목
Development of Sky Luminance and Daylight Illuminance Prediction Methods for Lighting Energy Saving in Office Buildings
저자
Kim, Chul-HoKim, Kang-Soo
DOI
10.3390/en12040592
발행일
2019-02-02
유형
Article
저널명
Energies
12
4