AI-empowered autonomous HVAC control

Problem Addressed
1. Climate change: In 2021 the operation of buildings accounted for 30% of global final energy consumption, according to the IEA.
2. Resource Use: Every day unnecessary wear is occurring in HVAC equipment that leads to additional resource use to replace / maintain equipment. Automated fault detection applied to large modern buildings typically identifies many faults that can cause strain and premature wear of HVAC equipment. Examples include situations where: a) equipment is running continuously and does not need to; b) control settings are contradictory e.g. heating and cooling happening in the same areas at the same time c) other unique faults are identified, these could relate to errors in the original installation or events that have happened subsequently e.g. a bird being trapped in a damper and reducing the flow of air.
3. Health & Wellbeing: Many buildings have areas which are frequently identified as being uncomfortable to work-in due to poor climatic conditions e.g. too hot/cold, draughty etc. This in turn impacts on the health of the workers and their productivity and translates into poor health and lost output.
Case Study
Clients include CBRE, We Work, EDP, Radisson BLU, Swedbank, a leading serviced office company and many others. R8 Digital Operator is running 1,200,000+ sq.m of commercial buildings today and is growing.
Facts and Figures

This page presents data, evidence, and solutions that are provided by our partners and members and should therefore not be attributed to UKGBC. While we showcase these solutions for inspiration, to build consensus, and create momentum for climate action, UKGBC does not offer commercial endorsement of individual solutions. If you would like to quote something from this page, or more information, please contact our Communications team at media@ukgbc.org.
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