Comparison between Dynamic and Static Metrics for Daylight Evaluation in the Case of Obstructed Buildings

Article Preview

Abstract:

Daylight in buildings can be evaluated using dynamic and static daylight metrics. The daylight factor is a static daylight metric which evaluates daylight conditions under the overcast sky model according to the International Commission on Illumination. However, the dynamic daylight metrics (e.g. daylight autonomy, spatial daylight autonomy, useful daylight illuminance) can be more complex evaluation criteria because they are based on annual daylight illuminance data for a building site. While the daylight factor value depends only on a room geometry, optical properties of surfaces and positioning of daylight obstructions, the dynamic daylight metrics also include an effect of a building location, window orientation or building occupancy pattern. The article deals with a comparison of a daylight evaluation using dynamic and static daylight metrics in the case of buildings whose daylight is obstructed by external barriers.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

477-484

Citation:

Online since:

December 2016

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2017 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] G. Petinelli, C. Reinhart, Advanced Daylight Simulations Using Ecotect / Radiance / Daysim Getting Started, McGill, National Research Council Canada, Montreal, (2006).

Google Scholar

[2] J. Mardaljevic, Examples of Climate-Based Daylight Modelling, in: CIBSE National Conference 2006: Engineering the Future, CIBSE, London, 2006, pp.1-11.

Google Scholar

[3] R. Hopkinson, G. P. Petherbridge, J. Longmore, Daylighting, Heinemann, London, (1966).

Google Scholar

[4] Information on http: /bygningsreglementet. dk/file/591081/br15_english. pdf.

Google Scholar

[5] STN 73 0580-1: Amendment 2: Daylighting in Buildings – Part 1, Slovak Office of Standards, Metrology and Testing, Bratislava, (2000).

Google Scholar

[6] ČSN 73 0580-1: Daylighting in Buildings – Part 1, Czech Office for Standards, Metrology and Testing, Praha, (2007).

Google Scholar

[7] Information on http: /www. breeam. com/BREEAMUK2014SchemeDocument/content/05_health/hea01_nc. htm.

Google Scholar

[8] J. Mardaljevic, Rethinking Daylighting and Compliance, SDAR. 1 (2013) pp.2-9.

Google Scholar

[9] C. Reinhart, J. Mardaljevic, Z. Rogers, Dynamic Daylight Performance Metrics for Sustainable Building Design, Leukos. 3 (2006) pp.7-31.

DOI: 10.1582/leukos.2006.03.01.001

Google Scholar

[10] C. Reinhart, Daylight Performance Predictions, in: J. Hensen, Building Performance Simulation for Design and Operation, Spon Press, New York, 2011, pp.235-276.

Google Scholar

[11] P. Boyce, P. Raynham, The SLL Lighting Handbook, The Society of Light and Lighting, London, (2009).

Google Scholar

[12] ČSN EN 12464-1: Light and Lighting – Lighting of Work Spaces – Part 1, Czech Office for Standards, Metrology and Testing, Praha, (2012).

Google Scholar

[13] Approved Method: IES Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE), Illuminating Engineering Society of North America, New York, (2013).

Google Scholar

[14] A. Nabil, J. Mardaljevic, Useful Daylight Illuminance: A New Paradigm for Assessing daylight in Buildings, Lighting Res. Technol. 37 (2005) pp.41-59.

DOI: 10.1191/1365782805li128oa

Google Scholar

[15] Information on https: /www. gov. uk/government/collections/priority-school-building-programme-psbp.

Google Scholar

[16] Information on http: /www. usgbc. org/credits/healthcare/v4-draft/eqc-0.

Google Scholar

[17] Daysim 3. 0, Graduate School of Design – Harvard University, Cambridge, (2010).

Google Scholar

[18] C. Reinhart, P. Breton, Experimental Validation of Autodesk® 3ds Max® Design 2009 and Daysim 3. 0, Leukos. 6 (2009) pp.7-35.

DOI: 10.1582/leukos.2009.06.01001

Google Scholar

[19] I. Acosta et al., Analysis of the Accuracy of the Sky Component Calculation in Daylighting Simulation Programs, Solar Energy. 119 (2015) pp.54-67.

DOI: 10.1016/j.solener.2015.06.022

Google Scholar

[20] Danish Building Research Institute, Daylight Calculations in Practice, Aalborg University, Aalborg, (2013).

Google Scholar

[21] Information on https: /energyplus. net/weather.

Google Scholar