Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
권호 표지
DOI QR코드

DOI QR Code

Uncertainty Analysis of Indoor Illuminance and Lighting Control in a Living Room Space of Residential Buildings

주거 건물의 거실 공간에서 실내 조도 및 조명 제어의 불확실성

  • Kim, Jin-Hong (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Cho, Seong-Kwon (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Yoo, Young-Seo (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Park, Cheol-Soo (Dept. of Architecture and Architectural Engineering.Institute of Engineering Research.Institute of Construction and Environmental Engineering, Seoul National University)
  • 김진홍 (서울대 건축학과) ;
  • 조성권 (서울대 건축학과) ;
  • 유영서 (서울대 건축학과) ;
  • 박철수 (서울대 건축학과.공학연구원.건설환경종합연구소)
  • Received : 2022.07.07
  • Accepted : 2022.08.26
  • Published : 2022.09.30
⟨ Previous Next ⟩

Abstract

Providing appropriate illuminance level is important for occupant's productivity and visual comfort. Many attempts have been made to quantify occupant's preferred illuminance level as well as occupant's lighting control behavior. In this study, the authors performed three uncertainty analyses of indoor illuminance level and control behavior in 17 residential households. The degree of such uncertainty were analyzed using Wasserstein Distance, a difference in mean/max illuminance and the probability of lighting control behavior. It was found that indoor illuminance level and lighting control are highly stochastic. This study indicates that a new approach is required to better understand the level of preferred indoor illuminance levels and lighting control in a living room space of residential buildings.

Keywords

Acknowledgement

본 연구는 산업통상자원부(MOTIE)와 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다. (No. 20192010107290)

References

  1. Arjovsky, M., Chintala, S., & Bottou, L. (2017, July). Wasserstein generative adversarial networks. In International conference on machine learning (pp. 214-223). PMLR.
  2. Baron, R. A., Rea, M. S., & Daniels, S. G. (1992). Effects of indoor lighting (illuminance and spectral distribution) on the performance of cognitive tasks and interpersonal behaviors: The potential mediating role of positive affect. Motivation and Emotion, 16(1), 1-33. https://doi.org/10.1007/BF00996485
  3. Boyce, P. R. (2003). Human factors in lighting, CrC Press.
  4. Di Laura, D. L., Houser, K. W., Mistrick, R. G., & Steffy, G. R. (2011). The lighting handbook: reference and application, New York, Illuminating Engineering Society of North America.
  5. Galasiu, A. D., & Veitch, J. A. (2006). Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review. Energy and Buildings, 38(7), 728-742. https://doi.org/10.1016/j.enbuild.2006.03.001
  6. Hwang, T., & Kim, J. T. (2011). Effects of indoor lighting on occupants' visual comfort and eye health in a green building. Indoor and Built Environment, 20(1), 75-90. https://doi.org/10.1177/1420326X10392017
  7. Korean Agency for Technology and Standards (KATS). (1998). Recommended Levels of Illumination (KS A 3011). Retrieved from https://standard.go.kr/KSCI/standardIntro/getStandardSearchView.do?menuId=919&topMenuId=502&upperMenuId=503 &ksNo=KSA3011&tmprKsNo=KSA3011&reformNo=10
  8. Mui, K. W., & Wong, L. T. (2006). Acceptable illumination levels for office occupants. Architectural Science Review, 49(2), 116-119. https://doi.org/10.3763/asre.2006.4915
  9. Moore, T., Carter, D. J., & Slater, A. I. (2003). Long-term patterns of use of occupant controlled office lighting. Lighting Research & Technology, 35(1), 43-57. https://doi.org/10.1191/1477153503li061oa
  10. Park, J. Y., Dougherty, T., Fritz, H., & Nagy, Z. (2019). LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning. Building and Environment, 147, 397-414. https://doi.org/10.1016/j.buildenv.2018.10.028
  11. Reinhart, C. F., & Voss, K. (2003). Monitoring manual control of electric lighting and blinds. Lighting research & technology, 35(3), 243-258. https://doi.org/10.1191/1365782803li064oa
  12. Sun, C., Lian, Z., & Lan, L. (2019). Work performance in relation to lighting environment in office buildings. Indoor and Built Environment, 28(8), 1064-1082. https://doi.org/10.1177/1420326X18820089
  13. Vallender, S. S. (1974). Calculation of the Wasserstein distance between probability distributions on the line. Theory of Probability & Its Applications, 18(4), 784-786. https://doi.org/10.1137/1118101
  14. Wang, C., Yan, D., Sun, H., & Jiang, Y. (2016). A generalized probabilistic formula relating occupant behavior to environmental conditions. Building and Environment, 95, 53-62. https://doi.org/10.1016/j.buildenv.2015.09.004