HeatCheck AI-driven optimal heating of apartment buildings
HeatCheck aims to develop a scalable, commercial-grade, open-source, AI-driven toolchain that merges meter data with ubiquitous wireless heat cost allocator data to optimize heating systems in apartment buildings. District heating operators have focused on supply temperatures and flows to satisfy various demand profiles. However, they typically overlook end-users and substations as beyond their control. Thus, buildings are bottlenecks in the transition to low-temperature district heating.
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Key figures
Category
Participants
Partner | Subsidy | Auto financing |
---|---|---|
Teknologisk Institut | 1,23 mio. DKK | 0,82 mio. DKK |
Center Denmark | 1,58 mio. DKK | 0,53 mio. DKK |
HOFOR A/S | 0,17 mio. DKK | 0,26 mio. DKK |
Fjernvarme Horsens A.m.b.A | 0,16 mio. DKK | 0,24 mio. DKK |
Aalborg Forsyning | 0,20 mio. DKK | 0,30 mio. DKK |
Boligselskabet Sjælland | 0,16 mio. DKK | 0,24 mio. DKK |
Danmarks Tekniske Universitet | 4,50 mio. DKK | 0,50 mio. DKK |
Unnamed | 0,16 mio. DKK | 0,24 mio. DKK |
Ista Danmark A/S | 0,56 mio. DKK | |
Techem Danmark A/S | 0,76 mio. DKK | 1,14 mio. DKK |
Organisation Bolig Horsens | 0,16 mio. DKK | 0,24 mio. DKK |
KAB ApS | 0,20 mio. DKK | 0,30 mio. DKK |