A Study on the Evaluation of Lighting Energy Consumption by Control Strategy of the Electric Lighting

전기조명 제어 전략에 따른 조명에너지 소비량 평가에 관한 연구

  • 윤경 (고려대학교 건축학과) ;
  • 김강수 (고려대학교 건축학과)
  • Received : 2011.12.13
  • Accepted : 2012.02.09
  • Published : 2012.02.29

Abstract

The objective of this study is to evaluate the electric lighting energy consumption carried out by Daysim program. A comparison between the measurement and simulated exterior global horizontal illuminance shows differences about 10% and it is very similar to the measurement. The interior illuminance simulated by Daysim are 18.9% lower than the measurement and simulated lighting energy consumption is 10% lower than the measurement. Corrected annual lighting energy simulation results show that the best case is the combination of occupancy switch-off and dimming system with automatic controlled blinds (E-3). In case of no blinds, it occasionally derives the minimum lighting energy consumption but it causes the glare, so we need to be careful for choosing the control strategy. For the overcast sky, the lighting energy consumption is not changed significantly by control strategy while the lighting energy in the clear sky is changed noticeably. So we must know the right strategy for each case to control the electric lights and blinds.

Keywords

References

  1. 윤 경, 윤갑천, 김강수, 주광을 활용한 LED조명시스템의 컨트롤에 관한 실험적 연구, 한국생태환경건축학회 논문집, 2010.
  2. Yun G, Kim KS, A study on visual environment evaluation of an office building using the useful daylight illuminance (UDI) and daylight autonomy(DA). 3rd Lighting Symposium of China, Japan and Korea Proceedings, 2010.
  3. Reinhart CF, Tutorial on the use of Daysim simulations for sustainable design, Harvard University, 2010.
  4. Ahmed A, Otreba M, Korres NE, Elhadi H, Menzel K. Assessing the performance of naturally day-lit buildings using data mining, Advanced Engineering Informatics, 2011.
  5. ENERGYPLUS, Getting started with EnergyPlus, Lawrence Berkeley National Laboratory, 2010.
  6. Architectural Energy Corporation, SPOT v4.2 user manual, Architectural Energy Corporation, 2010.
  7. Perez R, Ineichen P, Seals R, Michalsky J, Stewart R. Modeling daylight availability and irradiance components from direct and global irradiance, Solar Energy, 1990.
  8. Kasten A, A new table and approximation formula for the relative optical air mass, Arch. Meteorol, Geophys, Bioklimatol, 1965.
  9. Reitan CH, Surface dew point and water vapor aloft, Journal of applied meteorology, 1963.
  10. Wright J, Perez R, Michalsky J, Luminous efficacy of direct irradiance: Variations with insolation and moisture conditions, Solar Energy, 1989.
  11. Reinhart CF, Lightswitch-2002: a model for manual and automated control of electric lighting and blinds, NRCC, 2004.
  12. Azza Nabil, John Mardaljevic, Useful Daylight Illuminances : A Replacement for Daylight Factors, Energy and Buildings, 2006
  13. Reinhart CF, Morrison M, The Lightswitch wizard-reliable daylight simulation for initial design investigation, 8th IBPSA Conference, 2003.
  14. Reinhart CF, Daylight availability and manual lighting control in office building simulation studies and analysis of measurement, Ph. D. thesis. Technical University of Karlsruhe Germany, 2001.
  15. FEMP, M&V guidelines: Measurement and verification for federal energy projects Version 3.0, Energy Efficiency and Renewable Energy, 2008.
  16. Fakra AH, Boyer H, Miranville F, Bigot D, A simple evaluation of global and diffuse luminous efficacy for all sky conditions in tropical and humid climate, Renewable Energy, 2011.