Poster presentation at the Data-Driven Urban Tech Conference
📢 Excited to share that I will be presenting a poster on May 15 at the Data-Driven Urban Tech Workshop at Cornell Tech in NYC! 📝
I’ll be presenting our work on real-time environmental performance prediction of outdoor thermal comfort in cities. We’ve developed a surrogate model for urban CFD simulations that has been trained on thousands of building massing models. This approach significantly reduces computational costs and increases accessibility in the early design process.
💡 Highlights:
1️⃣ The model is trained using an end-to-end pipeline based on #Eddy3D and implemented within the Rhino and Grasshopper environment.
2️⃣ The model provides real-time simulation feedback within Rhino/Grasshopper software, reduces the risk of user error, and allows for appropriate spatial resolution in early urban design.
3️⃣ We show very promising accuracy on 1300+ geometries and 130k+ training pairs.
🚀 Although our model has limitations in predicting some very complex urban wake regions, it significantly facilitates the incorporation of urban airflow analysis in early design with minimal effort and real-time feedback.
You can find the initial preprint here: A Gan-Based Surrogate Model for Instantaneous Urban Wind Flow Prediction
If this piqued your interest, please come talk to me next week 5/15 01:15-02:45pm! 🏙️
Timur Dogan Environmental Systems Lab, Cornell AAP Cornell University College of Architecture, Art, and Planning
#UrbanTech #UrbanDesign #CFD #GANs #MachineLearning #UrbanMicroclimate #PedestrianComfort #CornellTech
