Influence of input reflectance values on climate based daylight metrics using sensitivity analysis.pdf (1.68 MB)
Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis
journal contribution
posted on 2017-08-03, 14:09 authored by Eleonora Brembilla, Christina Hopfe, John MardaljevicJohn MardaljevicThe insertion of climate-based daylight metrics as a requirement in several design guidelines calls for a
better understanding of their effectiveness. This paper draws attention to the sensitivity of annual daylight metrics to changes in input reflectance values. The uncertainties related to the choice of guidelines and of simulation techniques were also considered. Total Annual Illumination (TAI) showed the most consistent correlation and the highest sensitivity to variations in reflectance (up to ±60% from the benchmark), independently of the geometrical characteristics of the space. Other annual metrics were less sensitive, or showed a poorer correlation. The deviations among different simulation techniques varied with the chosen metric too (NRMSD≤ 15% for TAI), but all techniques were equally affected by variations in reflectance. The results highlighted the importance of selecting appropriate metrics for annual climate-based daylight evaluations.
Funding
This work was supported by the EPSRC and by Arup London under Grant EP/K504476/1.
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School
- Architecture, Building and Civil Engineering
Published in
Journal of Building Performance SimulationCitation
BREMBILLA, E., HOPFE, C.J. and MARDALJEVIC, J., 2017. Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis. Journal of Building Performance Simulation, 11 (3), pp.333-349.Publisher
Taylor & Francis © The Author(s)Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/Acceptance date
2017-07-12Publication date
2017Notes
This paper is published by Taylor & Francis as Gold Open Access under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).ISSN
1940-1493eISSN
1940-1507Publisher version
Language
- en
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Keywords
Climate-based daylight modellingSensitivity analysisSurface reflectanceAnnual daylight metricsDaylight in schoolsRadianceBuilt Environment and Design not elsewhere classifiedArchitectural Science and Technology (incl. Acoustics, Lighting, Structure and Ecologically Sustainable Design)Simulation and Modelling
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