IMPACT Pathways published in JBPS

In a great collaboration between Schools of Architecture, Policy and Engineering we present IMPACT Pathways, a bottom-up model with residence level granularity to estimate carbon emission pathways in cities under the impact of climate change, urban planning/development, technology adoption and grid decarbonization.

We evaluate for a case study in Austin, TX. Some key findings:

- the need to include long-term climate change forecasts for energy demand estimation

- short-term emission reductions can be cancelled out by long-term developments

- one positive decarbonization mechanism (eg grid decarbonization) can be overturned by another one (eg urban development)

- several decarbonization scenarios can produce similar short-term results, but differ in the longer term

Great leadership by Juliana Felkner, with team members Varun Rai, Ariane Beck, D. Cale Reeves, Ph.D. and many more

Check it out 👇👇👇

Link: https://www.tandfonline.com/doi/full/10.1080/19401493.2024.2388229

Dashboard: https://public.tableau.com/app/profile/intelligent.environments.laboratory/viz/IMPACTPathways/Overview

The University of Texas at Austin School of Architecture

Cockrell School of Engineering, The University of Texas at Austin

The LBJ School of Public Affairs

Support by UT Energy Institute

Zoltan Nagy
Zoltan Nagy
Assistant Professor

My research interests include reinforcement learning for buildings and smart cities.