Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis - dataset
2017-07-18T14:01:24Z (GMT) by
The .zip file contains the input data, the results and the scripts used for the paper "Influence of input reflectance values on climate-based daylight metrics using sensitivity analysis", accepted for publication in the Journal of Building Performance Simulation.
Series of random reflectance values were generated using the Method of Morris sampling strategy and were later used as input in the Climate-Based Daylight Modelling evaluations carried out with five different simulation techniques. The results from the simulations were further analysed with the Method of Morris to understand the sensitivity of the models to the selected reflectance values.
Input and results are all stored in .txt format. The scripts were created for the use with iPython notebooks. The 3D models of the classrooms used for this work are available for downloading from the GitHub link provided here.