This work discusses the use of digital cameras fitted with absorption filters as quasi-spectral radiometers. By filtering incident light into selected wavelength intervals, accurate estimates of radiances can be made for unknown spectra. This approach is being employed as part of a new video-projection goniophotometer to study the properties of angularly and spectrally selective complex fenestration systems. Complex fenestration systems are increasingly being used to distribute solar radiation purposefully in buildings. They can be utilized to optimize energy performance and enhance daylighting. Radiance estimates from calibrated digital cameras enable the assessment of quasi-spectral, bi-directional scattering distribution functions of total radiance transmitted or reflected by a fenestration system over desired wavelength intervals. A silicon and an indium gallium arsenide digital camera are used to enable measurements across a 380 to 1700 nm wavelength interval.
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References
1.
USDOE. Building Energy Databook. United States Department of Energy (USDOE), 2006. Retrieved 30 April 2007 from http://buildingsdatabook.eren.doe.gov
2.
Carmody J., Selkowitz S., Lee ES, Arasteh D., Willmert T.Window Systems for High-Performance Buildings. New York , The Regents of the University of Minnesota , 2004.
3.
Arasteh D., Apte J., Huang YJFuture advanced windows for zero-energy homes, ASHRAE Transactions2003; 109 Part 2.
4.
Loftness V., Harktopf V.Building Investment Decision Support (BIDS): Cost-Benefit Tool to Promote High Performance Components, Flexible Infrastructures and Systems Integration for Sustainable Commercial Buildings and Productive Organizations, The Austin Papers, Building Green, Inc., 2002.
5.
Boyce PR, Hunter C., Howlett O.The Benefits of Daylight, Lighting Research Center, Rensselear Polytechnic Institute, Troy, NY, September 2003.
6.
Sullivan R., Beltran L., Lee ES, Rubin M., Selkowitz SEEnergy and Daylight Performance of Angular Selective Glazings. Lawrence Berkeley National Laboratory, 1998 .
7.
Beltran LO, Mogo BMAssessment of Luminance Distribution Using HDR Photography: Proceedings of the 2005 ISES Solar World Congress 2005; Orlando, International Solar Energy Society.
8.
Debevec P., Malik I.Recovering High Dynamic Range Radiance Maps from Photographs: Proceedings of the 24th annual conference on computer graphics and interactive techniques . Los Angeles, 1997. Association for Computing Machinery, Inc.
9.
Andersen M., de Boer J.Goniophotometry and assessment of bidirectional photometric properties of complex fenestration systems. Energy and Buildings2006; 38(7): 836-848.
10.
Tsuchikawa S., Torii M., Tsutsumi S.Directional characterisitics of near infrared light reflected from wood. Holzforschung2001 ; 55(5): 534-540.
11.
Baker N., Fanchiotti A., Steemers K.Daylighting in Architecture. James & James , London, 1993.
12.
Breitenbach J., Rosenfeld JLJ.Design of a photogoniometer to measure angular dependent optical properties: Proceedings of International Conference on Renewable Energy Technologies in Cold Climates 1998; Ottawa, Canada, Solar Energy Society of Canada Inc.
13.
Ward G.Measuring and modeling anisotropic reflection. Computer Graphics1992; 26(2): 265-272.
14.
Deniel JM, Modelisation des luminaires et des BRDF: realisation, mesure et compression, PhD thesis. Rennes: Universite de Rennes 1, April 2002.
15.
Andersen M.Innovative Bidirectional Video-Goniophotometer for Advanced Fenestration Systems , PhD Thesis. Lausanne: Swiss Federal Institute of Technology, 2004.
16.
Andersen M., Gayeski N., Stokes E., Osser R., Browne C.The Heliodome project: an innovative approach in assessing solar-optical properties of light-redirecting materials in combination with sun course simulations . Proceedings CISBAT 2007: Renewables in a changing climate - Innovation in the Built Environment, Lausanne : CISBAT, 2007.
17.
Stokes E., Gayeski N., Andersen M.Estimating Spectral Information of Complex Fenestration Systems in a Video-Goniophotometer , Lighting Research and Technology2008; 40(4): 269-285.
18.
Clarke TA, Fryer JF, Wang X.The principal point and CCD cameras. Photogrammetric Record1998; 16(92): 293-312.
19.
Holst G.CCD Arrays, Cameras and Displays. 1998; SPIE Optical Engineering.
20.
Martinez-Verdu F., Pujol J., Bouzada A., Capilla P.Spectroradiometric characterization of the spectral linearity of a conventional digital camera. Proceedings of the IS&T/SPIE Conference on Color Imaging. 1999, Scottsdale, AZ, International Society for Optical Engineering .
21.
American Society for Testing and Materials.Method E308. Standard Practice for Computing Colors of Objects by Using the CIE System. 2001; West Conshohocken, PA, ASTM International.
22.
Brown S., Larason T., Habauzit C., Eppeldauer GP, Ohno Y., Lykke K.Absolute radiometric calibration of digital imaging systems. SPIE2001; 4306: 13-21.
23.
Schott, Glass Filters Catalog. Retrieved 22 May 2007 , from http://www.us.schott.com/optics_devices/filter/english/us/index.html
24.
LBNL, Optics, Version 5.1.02. Lawrence Berkeley National Lab. Retrieved 15 Jan 2007, from http://windows.lbl.gov/materials/optics5/CurrentVersion/Release%20notes.htm
25.
a Stokes E., Gayeski N., Andersen M.Estimating spectral information of complex fenestration systems in a video-goniophotometer . Lighting Research and Technology2008; 40(4): 269-285.
