Validation of DIALux 4.12 and DIALux evo 4.1 against the Analytical Test Cases of CIE 171:2006

REFERENCES

• Acosta I, Navarro J, Sendra JJ. 2011. Towards an analysis of daylighting simulation software. Energies. 4:1010 ‐1024.
   Web of Science ®Google Scholar
• Andersen M. 2004. Generalization of the direct sky component calculation to openings of arbitrary tilt angle. LEUKOS. 1(2):39 ‐55.
   Web of Science ®Google Scholar
• Ashdown I. 2005. Sensitivity analysis of glare rating metrics. LEUKOS. 2(2):115 ‐122.
   Web of Science ®Google Scholar
• Chowdhury O, Tripathy DP. 2014. Design of haul road illumination system for an opencast coal mining project—a case study. LEUKOS. 10(3):133 ‐143.
   Web of Science ®Google Scholar
• Chueco F, López F, Bobadilla M. 2015. Technical and economic evaluation of fluorescent and LED luminaires in underground mining. A case study: new mine level of El Teniente. Energ Buildings. 93:16 ‐22.
   Web of Science ®Google Scholar
• [CIE] Commission Internationale de l’Éclairage. 2006. CIE 171:2006—test cases to assess the accuracy of lighting computer programs. Vienna (Austria): CIE.
   Google Scholar
• Dau Design and Consulting, Inc. 2007. Validation of AGi32 against CIE 171:2006. 2007 Jun 20. <http://www.agi32.com/Downloads/TechnicalDocs/Report%20on%20AGI%2032%20validation%20of%20CIE%20171_Compiled_070620.pdf > Accessed 2015 Apr 10.
   Google Scholar
• DIAL GmbH. 2015a. DIALux 4 with new improved calculation kernel. <http://www.dial.de/DIAL/fileadmin/download/dialux/wissen/Dx4_Rechenkern_eng.pdf> Accessed 2015 Mar 16.
   Google Scholar
• DIAL GmbH. 2015b. DIALux evo—new calculation method. <http://www.dial.de/DIAL/fileadmin/download/dialux/wissen/DIALux_evo-_New_calculation_method.pdf> Accessed 2015 Mar 16.
   Google Scholar
• Donn M, Xu D, Harrison D, Maamari F. 2007. Using simulation software calibration tests as a consumer guide—a feasibility study using lighting simulation software. In: Proceedings of Building Simulation 2007. Beijing (China): International Building Performance Simulation Association; 2007 Sep 3–6; Beijing, China; p. 1999–2006.
   Google Scholar
• Geisler-Moroder D, Dür A. 2008. Validation of radiance against CIE 171:2006 and improved adaptive subdivision of circular light sources. In: 7th International RADIANCE Workshop; 2008 Oct 30–31; Fribourg, Switzerland.
   Google Scholar
• Gómez-Lorente D, Rabaza O, Espín-Estrella A, Peña-García A. 2013. A new methodology for calculating roadway lighting design based on a multi-objective evolutionary algorithm. Expert Syst Appl. 40(6):2156 ‐2164.
   Web of Science ®Google Scholar
• Iversen A, Roy N, Hvass M, Jørgensen M, Christoffersen J, Osterhaus W, Johnsen K. 2013. Daylight calculation in practice: an investigation of the ability of nine daylight simulation programs to calculate the daylight factor in five typical rooms. SBi 2013:26. Aalborg (Denmark): Danish Building Research Institute.
   Google Scholar
• Maamari F, Fontoynont M, Adra N. 2006. Application of the CIE test cases to assess the accuracy of lighting computer programs. Energ Buildings. 38(7):869 ‐877.
   Web of Science ®Google Scholar
• Maamari F, Fontoynont M, Tsangrassoulis A, Marty C, Kopylov E, Sytnik G. 2005. Reliable datasets for lighting programs validation—benchmark results. Sol Energy. 79(2):213 ‐215.
   Web of Science ®Google Scholar
• Mavromatidis LE, Marsault X, Lequay H. 2014. Daylight factor estimation at an early design stage to reduce buildings’ energy consumption due to artificial lighting: a numerical approach based on Doehlert and Box-Behnken designs. Energy. 65:488 ‐502.
   Web of Science ®Google Scholar
• Moraes LN, da Silva AS, Claro A. 2013. Evaluation of the software LightTool and Apolux according to protocols of technical report CIE 171:2006. In: Proceedings of Building Simulation 2013. Chambéry (France): International Building Performance Simulation Association; 2013 Aug 25–28; Chambéry, France; p. 1079–1086.
   Google Scholar
• Ochoa CE, Aries MBC, Hensen JLM. 2012. State of the art in lighting simulation for building science: a literature review. J Building Performance Simul. 5(4):209 ‐233.
   Web of Science ®Google Scholar
• Saraiji R, Oommen MS. 2012. Light Pollution Index (LPI): An integrated approach to study light pollution with street lighting and façade lighting. LEUKOS. 9(2):127 ‐145.
   Web of Science ®Google Scholar
• Seshadri TN. 1960. Equations of sky components with a “CIE standard overcast sky.” P Indian Acad Sci A. 51(5): 233 ‐242.
   Google Scholar
• Son A-R, Kim I-T, Choi A-S, Sung M-K. 2015. Analysis of UGR values and results of UGR calculations in commercial lighting simulation software. LEUKOS. 11(3):141 ‐154.
   Web of Science ®Google Scholar
• Ylinen A-M, Tähkämö L, Puolakka M, Halonen L. 2011. Road lighting quality, energy efficiency, and mesopic design—LED street lighting case study. LEUKOS. 8(1):9 ‐24.
   Web of Science ®Google Scholar