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Daylighting dynamism and constant change can characterize buildings and spaces with a living quality that cannot be achieved with any other design element. However, daylighting can create unwanted lighting conditions in the visual field causing discomfort and glare. This may affect the performance of building occupants such as workers or students. Consequently, designing for daylighting needs a good understanding of daylighting. Designers can rely on information from simulation software to re-imagine the space, especially to examine possible unexpected visual discomfort conditions.
This paper aims to represent different visual comfort evaluation methods that can help decision-makers make better informed decisions. Different definitions and structures associated with daylight and glare are examined. It also presents a review of the literature of previous research conducted on daylighting, visual comfort analysis and glare studies.
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Creswell, J. W. (1999). Mixed-method research: Introduction and application. Handbook of educational policy, 455-472. http://dx.doi.org/10.1016/B978-012174698-8/50045-X
Guha, S., Shim, K., andWoo, J. (2004). REHIST: Relative error histogram construction algorithms. Paper presented at the Proceedings of the Thirtieth international conference on Very large data bases-Volume 30. http://dx.doi.org/10.1016/b978-012088469-8.50029-2
Haddad, E. (2010). Christian Norberg-Schulz’s Phenomenological Project In Architecture. Architectural Theory Review. http://dx.doi.org/10.1080/13264821003629279
Hasson, F., Keeney, S., andMcKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of advanced nursing, 32(4), 1008-1015.
Heschong, L., Mahone, D., Kuttaiah, K., Stone, N., Chappell, C., andMcHugh, J. (1999). Daylighting in schools: An investigation into the relationship between daylighting and human performance. Summary for the Pacific Gas and Electric Company on behalf of the California Board for Energy Efficiency Third Party Program.
Institution, S. (2015). Smithsonian Institution. from www.si.edu
Kensek, K., andSuk, J. Y. (2011). Daylight Factor (overcast sky) versus Daylight Availability (clear sky) in Computer-based Daylighting Simulations. Journal of Creative Sustainable Architecture & Built Environment, CSABE, 1.
Kleindienst, S., andAndersen, M. (2009). The adaptation of daylight glare probability to dynamic metrics in a computational setting. Paper presented at the Proceedings of the Lux Europa 2009 Conference. Lausanne, September 9e11.
Kota, S., Haberl, J. S., Clayton, M. J., andYan, W. (2014). Building Information Modeling (BIM)-based daylighting simulation and analysis. Energy and Buildings, 81(0), 391-403. http://dx.doi.org/10.1016/j.enbuild.2014.06.043
Linstone, H. A., andTuroff, M. (1975). The Delphi method: Techniques and applications (Vol. 29): Addison-Wesley Reading, MA.
Loe, L., Mansfield, K., andRowlands, E. (1994). Appearance of lit environment and its relevance in lighting design: experimental study. Lighting Research and Technology, 26(3), 119-133. http://dx.doi.org/10.1177/096032719402600301
Miller, N. J., Boyce, P. R., andNgai, P. Y. (2001). A metric for judging acceptability of direct luminaires in computer offices. Journal of the Illuminating Engineering Society, 30(2), 12-29. http://dx.doi.org/10.1080/00994480.2001.10748350
Mitroff, I., andTuroff, M. (2002). 11. B. Philosophical and methodological foundations of Delphi.
Newsham, G. R., andVeitch, J. A. (2001). Lighting quality recommendations for VDT offices: a new method of derivation. Lighting Research and Technology, 33(2), 97-113. http://dx.doi.org/10.1177/136578280103300205
Osterhaus, W. (2009). Design Guidelines for Glare-free Daylit Work Environments.
Park, C.-S., Augenbroe, G., andMessadi, T. (2003). Daylighting optimization in smart facade systems. Paper presented at the Proceedings of the Eighth International IBPSA Conference.
Parpairi, K., Baker, N., Steemers, K., andCompagnon, R. (2002). The Luminance Differences index: a new indicator of user preferences in daylit spaces. Lighting Research and Technology, 34(1), 53-66. http://dx.doi.org/10.1191/1365782802li030oa
REA, M. S. (2010). IESNA Lighting Handbook Reference and Application.
Reinhart, C. F., andWienold, J. (2010). The Daylighting Dashboard - A Simulation-Based Design Analysis for Daylit Spaces. Building and Environment (August 2010).
Yin, H. (2011). Glare studies: Comparison of three glare indices, HDR imaging and measured values: University of Southern California.