The Impact of Exterior Surround Detail on Daylighting Simulation Results

References

• Al-Sallal KA, Abu-Obeid N. 2009. Effects of shade trees on illuminance in classrooms in the United Arab Emirates. Archit Sci Rev. 52(4):295–311.
   Web of Science ®Google Scholar
• Arboit M, Diblasi A, Fernández Llano J, De Rosa C. 2008. Assessing the solar potential of low-density urban environments in Andean cities with desert climates: the case of the city of Mendoza, in Argentina. Renew Energy. 33(8):1733–1748.
   Web of Science ®Google Scholar
• Balakrishnan P, Jakubiec A. 2016. Measuring light through trees for daylight simulations: a photographic and photometric method. Building simulation and optimization conference; Newcastle, England.
   Google Scholar
• Binkley D, Campoe OC, Gspaltl M, Forrester DI. 2013. Light absorption and use efficiency in forests: why patterns differ for trees and stands. Forest Ecol Manag. 288:5–13.
   Web of Science ®Google Scholar
• Cai H. 2013. High dynamic range photogrammetry for synchronous luminance and geometry measurement. Lighting Res Technol. 45(2):230–257.
   Web of Science ®Google Scholar
• Cai H, Chung T. 2011. Improving the quality of high dynamic range images. Lighting Res Technol. 43(1):87–102.
   Web of Science ®Google Scholar
• Chiou Y-S, Huang P-C. 2015. An HDRI-based data acquisition system for the exterior luminous environment in the daylight simulation model. Sol Energy. 111:104–117.
   Web of Science ®Google Scholar
• Compagnon R. 2004. Solar and daylight availability in the urban fabric. Energ Build. 36(4):321–328.
   Web of Science ®Google Scholar
• Forrester DI. 2014. A stand-level light interception model for horizontally and vertically heterogeneous canopies. Ecol Model. 276:14–22.
   Web of Science ®Google Scholar
• Forrester DI, Albrecht AT. 2014. Light absorption and light-use efficiency in mixtures of abies alba and picea abies along a productivity gradient. Forest Ecol Manag. 328:94–102.
   Web of Science ®Google Scholar
• Gibson T, Krarti M. 2015. Comparative analysis of prediction accuracy from daylighting simulation tools. Leukos. 11(2):49–60.
   Web of Science ®Google Scholar
• [IES] Illuminating Engineering Society. 2012. Approved method: IES spatial daylight autonomy (sDA) and annual sunlight exposure. New York: Illuminating Engineering Society.
   Google Scholar
• Inanici M. 2006. Evaluation of high dynamic range photography as a luminance data acquisition system. Lighting Res Technol. 38(2):123–134.
   Web of Science ®Google Scholar
• Inanici M. 2009. Applications of image based rendering in lighting simulation: development and evaluation of image based sky models. Proceedings of Building Simulation 2009; Glasgow, UK; July 27–30.
   Google Scholar
• Inanici M. 2010. Evalution of high dynamic range image-based sky models in lighting simulation. Leukos. 7(2):69–84.
   Web of Science ®Google Scholar
• Inanici M, Galvin J. 2004. Evaluation of high dynamic range photography as a luminance mapping technique, LBNL-73545. Berkeley (CA): Lawrence Berkeley National Laboratory.
   Google Scholar
• Jakubiec A, Van Den Wymelenberg K, Inanici M, Mahic A. 2016a. Accurate measurement of daylit interior scenes using high dynamic range photography. Proceedings of the CIE 2016 lighting quality and energy efficiency conference, Melbourne, Australia.
   Google Scholar
• Jakubiec A, Van Den Wymelenberg K, Inanici M, Mahic A. 2016b. Improving the accuracy of measurements in daylit interior scenes using high dynamic range photography. Proceedings of the 32nd PLEA conference; Los Angeles, CA. p. 11–13.
   Google Scholar
• Jones N, Reinhart C. 2014. Physically based global illumination calculation using graphics hardware. Proceedings of eSim 2014: The Canadian Conference on Building Simulation; Ottowa, CA; May 8–9.
   Google Scholar
• Kämpf JH, Montavon M, Bunyesc J, Bolliger R, Robinson D. 2010. Optimisation of buildings’ solar irradiation availability. Sol Energy. 84(4):596–603.
   Web of Science ®Google Scholar
• Konarska J, Lindberg F, Larsson A, Thorsson S, Holmer B. 2013. Transmissivity of solar radiation through crowns of single urban trees—application for outdoor thermal comfort modelling. Theor Appl Climatol. 117:363–376.
   Web of Science ®Google Scholar
• Kumaragurubaran V. 2012. High dynamic range image processing toolkit for lighting simulations and analysis [Master’s thesis] University Of Washington, Seattle Washington.
   Google Scholar
• [LBNL] Lawrence Berkeley National Laboratory. 2016. Radiance [software]. http://radsite.lbl.gov/radiance/.
   Google Scholar
• Mesa A, Arboit M, De Rosa C. 2010. Solar obstruction assessment model for densely forested urban environments. Archit Sci Rev. 53(2):224–237.
   Web of Science ®Google Scholar
• Moeck M, Anaokar S. 2006. Illuminance analysis from high dynamic range images. Leukos. 2(3):211–228.
   Web of Science ®Google Scholar
• Perez R, Seals R, Michalsky J. 1993. All-weather model for sky luminance distribution—preliminary configuration and validation. Sol Energy. 50(3):235–245.
   Web of Science ®Google Scholar
• Reinhard E, Ward G, Pattanaik S, Debevec PE. 2006. High dynamic range imaging: acquisition, display, and image-based lighting. High dynamic range imaging: acquisition, display, and image-based lighting. [CD-ROM]. Amsterdam (The Nethlands): Morgan Kaumann. p. 520.
   Google Scholar
• Saxena H, Mahone G. 2010. Office retrofit daylight potential report. No. CEC-500-06-039. California Energy Commission, Sacramento California.
   Google Scholar
• Stumpfel J, Tchou C, Jones A, Hawkins T, Wenger A, Debevec P. 2004. Direct HDR capture of the sun and sky. Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa (AFRIGRAPH ’04); Stellenbosch, South Africa: ACM; Nov 3–5. p. 145–149.
   Google Scholar
• Tregenza P, Wilson M. 2011. Daylighting: architecture and lighting design. London: Routledge; p. 304.
   Google Scholar
• Ward G. 2005. Photosphere [software]. http://anyhere.com.
   Google Scholar
• Wei J, Van Dommelen R, Lewis MR, McLean S, Voss KJ. 2012. A new instrument for measuring the high dynamic range radiance distribution in near-surface sea water. Op Express. 20(24):27024–27038.
   PubMed Web of Science ®Google Scholar