SOURCE-LINKED INTELLIGENCE
Innovative methodology based in circular economy and artificial intelligence to foster the transition to Sustainable and very high eNergy performance bUildinGs at a cost optimal level
Innovative methodology based in circular economy and artificial intelligence to foster the transition to Sustainable and very high eNergy performance bUildinGs at a cost optimal level Buildings are responsible for over 40% of the energy consumption and CO2 emissions in EU. Accordingly, The CE has stablished ambitious building standard aiming to transform all existing buildings into ZEBs by 2050 to reach a fully decarbonised building stock. SNUG aims to demonstrate on three real buildings with different characteristics, uses and climatology, the application of an innovative methodology to support planners of new buildings or retrofitting works in selecting the most appropriate set of insulation materials, their combination and placement to maximise the energy efficiency and minimize GHG emissions of the building throughout its life cycle to make its ZEB rating more easily achievable, considering specific building characteristics and its env
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 5519275.75
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.