Speaker
Description
The built environment is responsible for nearly 40% of global greenhouse gas emissions, highlighting its critical role in addressing climate change. Retrofitting existing buildings has emerged as a key strategy for achieving net-zero carbon objectives, focusing on reducing both operational and embodied carbon emissions. However, retrofitting practices face challenges such as fragmented data systems, limited real-time monitoring, and inadequate stakeholder collaboration. Artificial Intelligence (AI) presents transformative potential to address these challenges by optimizing energy performance, streamlining decision-making processes, and improving retrofitting outcomes. This research investigates how AI can integrate decarbonization strategies into building retrofitting to achieve net-zero objectives.
| Keywords | AI, urban planning, emerging technologies |
|---|---|
| Best Congress Paper Award | No |
