Step 1 - Generative Design Framework
Step 2 - Generative Design Study
And fixed user inputs were:
After that I used a similar logic to lecture videos and created two buildings:
Then, I exploded them and got my areas separately:
Then I did final calculations and set outputs for the generative study:
Step 3 - Generative Design Study Results
Then I generated 50 generations to optimize my design. My main purpose was to maximize the solar value and environmental value whereas minimize the total cost.
I got my minimum cost in this case:
As expected space is huge. However in this case probably customer wont like it since buildings are so small and solar value is really low.
On the other hand, if we want to maximize solar value. The previous best case becomes the worst case. And the best case becomes:
Lastly, if want to maximize environmental value, the best case is:
where spacing is again high but the length of buildings are different than previous best cases.
Moreover, there is a linear relationship between cost and solar analysis since spacing affects both greatly.
For solar value vs environmental value thins are a bit complicated:
Lastly, if customer wants one of the homes bigger/longer things can really get much more complicated: As length of the first building decreases solar value for example non-linearly increases as it can be seen below.
