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Sustainable Design

 
AI trained to identify least green homes by Cambridge researchers

The built environment is a major contributor to global carbon emissions, accounting for nearly 40% of energy-related CO₂ emissions worldwide. This project focuses on developing innovative strategies to decarbonise homes in the UK, supporting Net Zero targets by 2050. By leveraging cutting-edge space technology and advanced AI, we are pioneering data-driven algorithms to:

  1. Detect heat loss from buildings
  2. Estimate indoor overheating risks during summer
  3. Map decarbonisation strategies for homes across England
  4. Estimate mortgage and credit risks for meeting minimum energy performance in UK homes

Our approach integrates built environment design, urban data science, and deep learning to generate actionable insights for accelerating decarbonisation. By transforming how homes are designed, built, and retrofitted, we aim to create resilient, low-carbon environments that promote sustainable living and address climate change.

Explore our research, case studies, and collaborative initiatives as we drive the transition towards a net-zero future.

 

Team

Principal investigator Dr Ronita Bardhan, University of Cambridge, UK
Researcher Assistant, 
PhD Researcher  
Maoran Sun
PhD Researcher  Grace Colverd
Project Administrator Mutsuko Grant  

Publications

Energy Saving Potential of UK homes