Ill file is an output from Radiance with a lot of data. Methods to calculate the Usefull Daylight Iluminance, illuminance map, illuminance along a direction, are implemented to visualize results.
A jupyter notebook is provided with a typical output file.
Download the notebook using-UDI.ipynb, an example of each method is used. The file Illumination.py must be saved in the folder "modulos" and the ill file into the folder "data".
Pandas
Matplotlib
Numpy
Ipywidgets
from modulos import Eplus as ep from bokeh.plotting import figure, output_file, show from bokeh.io import output_notebook output_notebook()
a = ill.daylight('data/cubo_map.ill')
print(a._doc_)
a.udi()
a.map()
a.x()
a.y()
udi()
Calculate the UDI [https://patternguide.advancedbuildings.net/using-this-guide/analysis-methods/useful-daylight-illuminance]
when defining the following parameters:
E_LL: Lower limit illumination level [lx]
E_UL: Upper limit illumination level [lx]
t_min: Start hour of day to evaluate the UDI [h]
t_http://localhost:8891/edit/modulos/illumination.py#max: End hout of day to evaluate the UDI [h]
dC: Number of color leves for the UDI [-]
Once executed, prints the frequency of visual comfort (FVC).
map()
Plot the illuminance map for the space for a specific day, time and renders using a maximum value of the illuminance:
day: day to plot the illuminance map [-]
hour: Time of day (0,24) to plot the illuminance map [h]
Lmax: Maximum value to render illuminance map [lx]
x()
Plot the illuminance along the x direction at a specific value of y:
day: day to plot the illuminance along the x direction [-]
hour: Time of day (0,24) to plot the illuminance along the x direction [h]
jj: Number of element (0,Ly) to plot the illuminance along the x direcion [-]
y()
Plot the illuminance along the y direction at a specific value of x:
day: day to plot the illuminance along the x direction [-]
hour: Time of day (0,24) to plot the illuminance along the y direction [h]
ii: Number of element (0,Lx) to plot the illuminance along the y direcion [-]
fvc()
Frequency of visual comfort (average of the UDI_useful)
This project is licensed under ...
- Requests and suggestions are welcomed.