COP30 highlighted the need to reduce energy waste in buildings through operational optimisation, including AI-based solutions, as a key measure to improve energy efficiency and lower emissions in the built environment.
At COP30, experts urged that outcomes and national follow‑up plans formally recognise the role of Artificial Intelligence (AI)‑driven operational optimisation in reducing energy waste in buildings.
The proposals include monitoring and adjusting building systems in real time to improve energy efficiency, thus reducing consumption and emissions associated with heating, cooling, lighting, and other building operations.
Speakers noted that the building sector represents a substantial share of global energy use and that optimising existing buildings’ performance is as essential as constructing new, efficient buildings.
COP30 underlined that addressing energy waste in the building stock through operational optimisation — including AI‑based solutions — is essential for advancing energy‑efficiency goals and reducing emissions in the built environment.
