Presentation Title:
Decarbonizing Buildings: Strategies for a Sustainable Infrastructure
Track C: Decarbonization and Electrification Strategies
Session C2: Better Buildings
Day 2 10:30 am
Speaker(s):
Abstract:
The imperative to combat climate change spotlights buildings as a key focus for sustainable transformation. This abstract explores AI’s role in decarbonizing buildings through energy audit and inspection data analytics.
Buildings, major carbon contributors, require retrofitting and design changes for energy efficiency. AI-driven energy audits employ machine learning to analyze diverse datasets, providing detailed insights into energy usage patterns and recommending tailored efficiency measures. Inspection data analytics, utilizing smart sensors and AI algorithms, enables real-time equipment monitoring, predictive maintenance, and enhanced system lifespan.
AI integration in energy management supports demand response strategies, optimizing building operations during peak energy demand. Challenges like data privacy and system interoperability must be addressed through stakeholder collaborations for widespread AI adoption. In conclusion, AI-powered strategies hold vast potential for creating sustainable infrastructure, turning buildings into intelligent, actively contributing entities in the fight against climate change. Embracing AI in the building sector is a strategic move towards resilient, adaptive urban landscapes.