Annual glare studies according to EN17037

Hi guys

I would like to use LBT to document glare according to the danish certification scheme dk-DGNB version 2020, which uses the method described in EN17037. The criteria in DGNB are as follows:

Now the question is: How can the HB Imageless Annual Glare component be used to document compliance with these criteria?

If I understand right, glare autonomy describes the fraction of the occupied hours where a given glare threshold isn’t exceed. So for a threshold of DGP > 0.45, a GA of 100% means that the probability of experiencing daylight glare at a given view never exceeds 45%, right?

As we in DGNB have to look at DGP_e<5%, I assume that the sGA for each zone should be >= 95% to meet the criteria.

A way a of illustrating the sGA of each zone could be to have multiple HB Annual Glare Metric components with different glare thresholds like this:

But is it possible make a spatial visualization of the results that contains all the threshold in one?
My thought is to have adjust the visualization so that it only has 4 colours, which represents the 4 DGNB criterias

rather than showing the GA.

So I have the idea, but I can’t seem to figure out how to do it. Any good suggestions?

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Hey Mark, if you send it to me I might give it a crack for the presentation part

That would be great Mathias, thanks!

I marked the relevant post-processing component with a red group

You can find my current script and a shoebox model that works with the script at my github: https://github.com/labrossemp/Annual-Glare

Did you produce the visualization you were looking for? I think I would like to replicate the idea.

No, unfortunately I haven’t :confused:
I’m considering whether I could get ChatGPT to help me create the python code I need for the post-processing, but haven’t gotten to it yet :wink:

If you’re more proficient in python than me (I’m not proficient at all), then please do share your progress on the matter :slight_smile: My script should still be available on the link above.

Hi Jim

With a little help from ChatGPT, I think that I made component that sorts the results correctly.

Please feel free to try it out and see if it works as intended :slight_smile:

You can find the newest version on my github through the link above

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