Abstract
The systematic use of reliable modeling data is believed to improve the building design quality. The key term here is “reliability”. There is general agreement that reliability in the context of modeling-assisted CAAD depends on the accurate description of both contextual parameters (climate, site, etc.) and building features (geometric and non-geometric properties) as well as the validity of the underlying simulation algorithms. In this paper, we specifically address the importance of detailed contextual information and computational algorithms for the reliability of the daylight modeling results.
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References
Brunger, A. P. (1987). “The Magnitude, Variability and Angular Characteristics of the Shortwave Sky Radiance at Toronto”. University of Toronto, Ph.D. Thesis.
Kittler, R. (1986). “Luminance Models of Homogeneous Skies for Design and Energy Performance Prediction”. Proceedings, 2nd. International Daylighting Conference, Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
Hopkinson, R. G., P. Petherbridge and J. Longmore (1966). “Daylighting.” London: Heinemann.
Lam, K. P., A. Mandavi, M. B. Ullah, E. Ng, V. Pal (1997). “The Implications of Sky Model Selection for the Prediction of Daylight Distribution in Architectural Spaces”. Proceedings, 5th. International IBPSA Conference, Prague, Czech Republic.
Littlefair, P. J. (1994). “A Comparison of Sky Luminance Models with Measured Data from Garston, United Kingdom”. Solar Energy Vol. 53, No. 4, 1994: pp. 315–322.
Mahdavi, A. and V. Pal (1996). “The Characteristics of DSM”. Internal Report DOA-01-11-96, Department of Architecture, Carnegie Mellon University, Pittsburgh, PA, USA.
Mahdavi, A. and L. Berberidou (1994). “GESTALT: A Prototypical Realization of an ‘Open’ Daylighting Simulation Environment”. Journal of The Illuminating Engineering Society. Vol. 23, No. 2. pp. 62–71.
Mahdavi, A., L. Berberidou, K. P. Lam, Z. Li (1994). “Computational Support for the Concurrent Design of Natural and Electrical Lighting Systems in Buildings”. The 1994 IESNA Annual Conference, Miami, FL. pp. 721–730.
Mahdavi, A., and K. P. Lam (1994). “A Computer Application for the Consideration of Solar Radiation in Architectural Design Process”. Internal report 94-03 (Pittsburgh, PA: Center for Building Performance and Diagnostics, Department of Architecture, Carnegie Mellon University).
Mahdavi, A., L. Berberidou, P. Mathew, K. J. Tu (1993). “Prediction of Daylight Factors in ‘Realistic’ Settings: A Demonstrative Case Study”. Journal of The Illuminating Engineering Society. Vol. 22, No. 1. pp. 40–44.
Perraudeau, M. (1988). “Luminance Models”. National Lighting Conference and Daylighting Colloquium, Cambridge, England.
Perez, R., R. Seals, and J. Michalsky (1993). “All-Weather Model for Sky Luminance Distribution — Preliminary Configuration and Validation”. Solar Energy Vol. 50, No. 3, 1993: pp. 235–245.
Ullah, M. B. (1996). “International Daylighting Measurement Program — Singapore Data I: Quality of Data Gathered Over a Long Period”. International Journal of Lighting Research and Technology, CIBSE Series B, Vol. 28, No. 2, pp. 69–74.
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© 1997 Springer Science+Business Media Dordrecht
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Lam, K.P., Mahdavi, A., Pal, V. (1997). Algorithm and Context: A Case Study of Reliability in Computational Daylight Modeling. In: Junge, R. (eds) CAAD futures 1997. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5576-2_26
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DOI: https://doi.org/10.1007/978-94-011-5576-2_26
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6350-0
Online ISBN: 978-94-011-5576-2
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