Predicting the performance of controlled lighting systems

Journal of the Illuminating Engineering Society

Volumn 26, Issue 1, 1997, Pages 69-78

  Stannard, S ^a   Keith, D ^b   Johnson, K ^c  

^a Illumination Arts Inc   (United States)

^b Electric Power Research Institute ^*  (United States)

^c ELECTRIC POWER RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ENERGY EFFICIENCY;

CONTROLLED LIGHTING SYSTEMS; HIGH RESOLUTION TEMPORAL ANALYSIS;

DAYLIGHTING;

EID: 0031541391     PISSN: 00994480     EISSN: None     Source Type: Journal    
DOI: 10.1080/00994480.1997.10748168     Document Type: Article

References (8)

1. StannardS. 1979. An economic analysis of supplemental skylighting for industrial and office buildings. J of the IES 8(no. 4):235–243.
2. CONTROUTE 1.0-Users Manual. 1985. Lawrence Berkeley Laboratory, University of California.
3. RundquistR.A. 1992. BEEM (Building Energy Estimation Module) Users Manual. Washington DC:Electric Power Research Institute.
4. KeithD.M. 1993. DAYAVAIL-Users Manual. Boulder, CO:Illumination Arts, Inc.
5. RundquistR.A.; JohnsonK.F.; and AumannD.J. 1993. Calculating lighting and HVAC interactions. ASHRAE Journal 35(no. 11):28–37.
6. IES Design Practice Committee. 1980. Life cycle cost analysis of electric lighting systems. Lighting Design +Application 10(no. 5):43–48.
7. IESNA Calculation Procedures Committee. 1984. Recommended Practice for the Calculation of Daylight Availability, IESNA RP-21–84. New York:IESNA.
8. NOAA National Climate Data Center. 1993. Cloudiness-Mean Number of Days:Clear, Partly Cloudy, Cloudy Comparative Climatic Data for the United States through 1992. Boulder, CO:National Oceanic and Atmospheric Administration.