Sky model blends for predicting internal illuminance: A comparison founded on the BRE-IDMP dataset

Journal of Building Performance Simulation

Volumn 1, Issue 3, 2008, Pages 163-173

  Mardaljevic, John ^a  

^a DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

Daylight; Simulation; Sky models

Indexed keywords

DAYLIGHT SIMULATION; DAYLIGHTING; FORECASTING; LUMINANCE; OFFICE BUILDINGS; SOFTWARE TESTING; STATISTICAL TESTS;

BENCHMARK DATASETS; DAYLIGHT ILLUMINANCE; LIGHTING SIMULATION; LUMINANCE PATTERNS; SIMULATION; SIMULTANEOUS MEASUREMENT; SKY MODELS; TEST REFERENCE YEAR DATUM;

LIGHTING;

EID: 70149112201     PISSN: 19401493     EISSN: 19401507     Source Type: Journal    
DOI: 10.1080/19401490802419836     Document Type: Article

References (16)

1. Aizlewood, M.E., 1993. Innovative daylighting systems: An experimental evaluation. Lighting Research and Technology, 24 (4), 141-152.
2. Cannon-Brookes, S.W.A., 1997. Simple scale models for daylighting design: Analysis of sources of error in illuminance prediction. Lighting Research and Technology, 29 (3), 135-142.
3. Darula, S. and Kittler, R., 2002. CIE General Sky Standard defining luminance distributions. Proceedings eSim 2002, Montreal, Canada, 11-13 September.
4. Dumortier, D. and Kobav, M., 2005. Use of the Perez all weather sky luminance model to obtain the frequency of CIE standard sky types. Berlin: Lux Europa, 137-140.
5. Ineichen, P., Molineaux, B., and Perez, R., 1994. Sky luminance data validation: Comparison of seven models with four data banks. Solar Energy, 52 (4), 337-346.
6. Littlefair, P., 1994. A comparison of sky luminance models with measured data from garston, United Kingdom. Solar Energy, 53 (4), 315-322.
7. Maamari, F. and Fontoynont, M., 2003. Analytical tests for investigating the accuracy of lighting programs. Lighting Research and Technology, 35 (3), 225-239.
8. Maamari, F., et al., 2005. Reliable datasets for lighting programs validation-benchmark results. Solar Energy, 79 (2), 213-215.
9. Mardaljevic, J., 2000a. Daylight simulation: Validation, sky models and day-light coefficients. PhD thesis, De Mon- tfort University, Leicester, UK.
10. Mardaljevic, J., 2000b. The simulation of annual daylighting profiles for internal illuminance. Lighting Research and Technology, 32 (3), 111-118.
11. Mardaljevic, J., 2001. The BRE-IDMP dataset: A new benchmark for the validation of illuminance prediction techniques. Lighting Research and Technology, 33 (2), 117-134.
12. Mardaljevic, J., 2004. Verification of program accuracy for illuminance modelling: Assumptions, methodology and an examination of conflicting findings. Lighting Research and Technology, 36 (3), 217-239.
13. Mardaljevic, J., 2006. Examples of climate-based daylight modelling. In: CIBSE National Conference 2006: Engineering the Future, 21-22 March. Oval Cricket Ground, London.
14. Perez, R., Seals, R., and Michalsky, J., 1993. All-weather model for sky luminance distribution - preliminary configuration and validation. Solar Energy, 50 (3), 235-245.
15. Reinhart, C.F. and Herkel, S., 2000. The simulation of annual illuminance distributions - a state-of-the-art comparison of six radiance-based methods. Energy and Buildings, 32 (2), 167-187.
16. Tregenza, P., 2004. Analysing sky luminance scans to obtain frequency distributions of cie standard general skies. Lighting Research and Technology, 36 (4), 271-279.