What happens when we receive real time feedback on the performance of our designs?
To investigate this question, we have created a parametric model generating urban designs for an urban block in Vienna, that is backed with a real-time Artificial Intelligence simulation framework.
Every change of the design triggers real-time performance feedback of important climate simulations such as wind speed, temperature and outdoor thermal comfort levels of the block’s streets and open spaces. We have deployed state-of-the-art deep learning models to predict design performance in Grasshopper for Rhino 6, allowing a seamless integration with the design workflows of built environment professionals.
This intelligent parametric and simulation framework will allow us to approach a design challenge in a new way, reducing simulation times and thereby fostering collaboration between designers, stakeholders, and consultants.