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A Study of Simplified Calculation Methods for Outside Vertical Illuminance using VBA

VBA(Visual Basic for Applications)를 활용한 실외 수직면 조도 간이계산법에 관한 연구

  • Received : 2018.08.02
  • Accepted : 2018.12.12
  • Published : 2018.12.30

Abstract

The purpose of this study is to predict vertical illuminance accurately at the design stage of a building without the help of simulation tools. Comparing two well-known vertical illuminance prediction algorithms with measured values, it is verified that the Igawa model is more consistent with the measured values than the Perez model. Using the DIVA program, we simulated the vertical illuminance at 30-degree intervals from south to north, compared with the vertical illuminance calculated with the Igawa model. The result of calculation values were verified from 120 degrees east to 120 degrees west. The vertical illuminance values with each of three shade devices were calculated using the Igawa model, and compared with the vertical illuminance simulated by DIVA program. As a result, all the errors when installing horizontal / vertical / grid shade divices were included in the error standard specified by ASHRAE.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Darula, S., & Kittler R., (2002). CIE general sky standard defining luminance distributions. In: Proceedings of the bi-annual IBPSA conference. Canada: IBPSA, 1-8.
  2. Darula, S., Kittler, K., & Gueymard, C. (2005). Reference luminous solar constant and solar luminance for illuminance calculations. Solar Energy 79, 559-565. https://doi.org/10.1016/j.solener.2005.01.004
  3. Gillette, G., Pierpoint, W., & Treado, S. (1984). A general illuminance model for daylight availability. Journal of IES, 330-340.
  4. Igawa, N., Koga, Y., Matsuzawa, T., & Nakamura, H. (2004). Models of sky radiance distribution and sky luminance distribution. Solar Energy 77 (2), 137-157. https://doi.org/10.1016/j.solener.2004.04.016
  5. Igawa, N. (2014). Improving the All Sky Model for the luminance and radiance distributions of the sky. Solar Energy 105, 354-372. https://doi.org/10.1016/j.solener.2014.03.020
  6. Kasten, F., & Young, A. (1989). Revised optical air mass tables and approximation formula. Applied Optics 28 (22), 4735-4738. https://doi.org/10.1364/AO.28.004735
  7. Li, D., Lau, C., & Lam, J. (2005). Predicting daylight illuminance on inclined surfaces using sky luminance data. Energy 30, 1649-1665. https://doi.org/10.1016/j.energy.2004.04.038
  8. Li, D., Cheung, G., & Cheung, K. (2006). Evaluation of Simplified Procedure for Indoor Daylight Illuminance Determination against Data in Scale Model Measurements. Indoor and Built Environment 15 (3), 213-223. https://doi.org/10.1177/1420326X06066300
  9. Li, D., Cheung, G., Cheung, K., & Lam, T., (2010). Determination of vertical daylight illuminance under non-overcast sky conditions. Building and Environment, 45, 498-508 https://doi.org/10.1016/j.buildenv.2009.07.008
  10. Li, D., Chau, N., & Wan, K. (2013). Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies. Energy 53, 252-258. https://doi.org/10.1016/j.energy.2013.02.049
  11. Navvab, M., Karayel, M., Ne'eman, E., & Selkowitz, S. (1984). Analysis of atmospheric turbidity for daylight calculations. Energy and Buildings 6 (3), 293-303. https://doi.org/10.1016/0378-7788(84)90061-6
  12. Perez, R., et al., (1990). Modeling daylight availability and irradiance components from direct and global irradiance. Solar Energy 44(5), 271-289. https://doi.org/10.1016/0038-092X(90)90055-H
  13. Perez, R., Seals, R., & Michalsky, J. (1993). All-weather model for sky luminance distribution - Preliminary configuration and validation. Solar Energy 50, 235-245. https://doi.org/10.1016/0038-092X(93)90017-I
  14. Tregenza, PR. (2004). Analysing sky luminance scans to obtain frequency distributions of CIE Standard General Skies. Lighting Research and Technology 36(4), 271-281. https://doi.org/10.1191/1477153504li117oa
  15. Vartiainen, E. (2000). Daylight modelling with the simulation tool DeLight. In Technical Report TKK-F-A799; Helsinki University of Technology: Espoo, Finland, pp. 76-85.
  16. Yoon, K. C., & Kim, K. S. (2014). Predicting Daylight Illuminances on Vertical Surfaces Using Luminous Efficacy of Solar Irradiance, Journal of the Korean Solar Energy Society, 34(1), 19-27 https://doi.org/10.7836/kses.2014.34.1.019
  17. Yun, S. I., & Kim, K. S. (2016). Study of Remodified Split Flux Method with Various Sky Conditions and External Obstructions, JOURNAL OF THE ARCHITECTURAL INSTITUTE OF KOREA Planning & Design, 32(7), 123-130 https://doi.org/10.5659/JAIK_PD.2016.32.7.123
  18. Yun, S. I., & Kim, K. S. (2018). Sky Luminance Measurements Using CCD Camera and Comparisons with Calculation Models for Predicting Indoor Illuminance, Sustainability, 10(5), 1556 https://doi.org/10.3390/su10051556