algorithmic modeling for Rhino
Hello everybody,
I need help for an optimization issue. I'm trying to design shading panels for a surface divided in diamond glass panels (similar to Singapore Esplanade project).
I have:
- Radiation study for each panels, summer and winter,
- Summer solar vectors (extrem values that i want to block) and winter solar vector.
I think there is two solutions to design the shading:
- We could minimize the radiations in summer and maximize them in winter (using Galapagos or Octopus linked to ladybug analysis), but it involves to have a gene pool with thousand of genes (each shading panel must move independently for each glass panel....impossible
- we could use the solar vector directly to design and adapted shading device for each panel, but I can't go any further that the solar vector in the centroid of the panels...There is may be a relation between the slope of the panel, the solar vectors and the radiation that could be used?
I can't progress, all suggestions are welcome!
Pictures attached and file below, with internalised datas.
http://www.2shared.com/file/tCgFPoQP/ExtractShading.html
Ilona
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I'll prepare a small demo on that matter (but it's in C#, not using any component).
In the mean time I would strongly suggest to evaluate (cost VS benefits, lifetime maintenance, cleaning, MTBF data ... blah blah ... AND ultimately: investment break even point) the moving parts/components approach VS the new trend (NO moving parts + SMART glass/panels + PV panels).
If you do that you'll discover the unspeakable truth: in 99% of "Eco-friendly" cases/designs instead of saving the polar bears ... you just make circles around yourself.
more soon, best, Peter
but it involves to have a gene pool with thousand of genes (each shading panel must move independently for each glass panel....impossible
You can use agent-based methods to reduce the number of parameters for optimization. Here is two papers for reference:
http://www.grasshopper3d.com/group/ladybug/forum/topics/knowledge-s...
http://www.sciencedirect.com/science/article/pii/S092658050900034X
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