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Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis
The 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 cho...
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| Main Authors: | , , |
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| Format: | Default Article |
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2017
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| Online Access: | https://hdl.handle.net/2134/25959 |
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| _version_ | 1818171069060612096 |
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| author | Eleonora Brembilla Christina Hopfe John Mardaljevic |
| author_facet | Eleonora Brembilla Christina Hopfe John Mardaljevic |
| author_sort | Eleonora Brembilla (7046720) |
| collection | Figshare |
| description | The 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. |
| format | Default Article |
| id | rr-article-9439574 |
| institution | Loughborough University |
| publishDate | 2017 |
| record_format | Figshare |
| spelling | rr-article-94395742017-01-01T00:00:00Z Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis Eleonora Brembilla (7046720) Christina Hopfe (1257180) John Mardaljevic (1252824) Architectural science and technology Other built environment and design not elsewhere classified Modelling and simulation Climate-based daylight modelling Sensitivity analysis Surface reflectance Annual daylight metrics Daylight in schools Radiance Built Environment and Design not elsewhere classified Architectural Science and Technology (incl. Acoustics, Lighting, Structure and Ecologically Sustainable Design) Simulation and Modelling The 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. 2017-01-01T00:00:00Z Text Journal contribution 2134/25959 https://figshare.com/articles/journal_contribution/Influence_of_input_reflectance_values_on_climate-based_daylight_metrics_using_sensitivity_analysis/9439574 CC BY 4.0 |
| spellingShingle | Architectural science and technology Other built environment and design not elsewhere classified Modelling and simulation Climate-based daylight modelling Sensitivity analysis Surface reflectance Annual daylight metrics Daylight in schools Radiance Built Environment and Design not elsewhere classified Architectural Science and Technology (incl. Acoustics, Lighting, Structure and Ecologically Sustainable Design) Simulation and Modelling Eleonora Brembilla Christina Hopfe John Mardaljevic Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| title | Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| title_full | Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| title_fullStr | Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| title_full_unstemmed | Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| title_short | Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| title_sort | influence of input reflectance values on climate-based daylight metrics using sensitivity analysis |
| topic | Architectural science and technology Other built environment and design not elsewhere classified Modelling and simulation Climate-based daylight modelling Sensitivity analysis Surface reflectance Annual daylight metrics Daylight in schools Radiance Built Environment and Design not elsewhere classified Architectural Science and Technology (incl. Acoustics, Lighting, Structure and Ecologically Sustainable Design) Simulation and Modelling |
| url | https://hdl.handle.net/2134/25959 |