How can we reduce energy use and emissions in very large buildings and improve the performance of building energy management systems?
Background
BEIS has committed to ending the UK’s contribution to global warming by achieving net zero greenhouse gas emissions by 2050. Our work towards becoming a leader in green technologies and clean energy will drive economic growth, all whilst accelerating global climate action through strong international leadership.
Next steps
Get in touch with ari.comment@go-science.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Related UKRI funded projects
-
Oxford Brookes University and Virtus Development and Construction Consultants Limited
To refine and promote a holistic methodology for enhancing energy performance in existing buildings, based on the unique five-stage process, through market research and product development....
Funded by: Innovate UK
Why might this be relevant?
The project focuses on enhancing energy performance in existing buildings, which partially addresses the question of reducing energy use and emissions in large buildings.
-
Future-proofing facilities management (Future FM )
Non-domestic buildings account for approximately 18% of UK carbon emissions and 13% of final energy consumption. In contrast to domestic buildings, which can be well characterised by a few representative archetypes, the ...
Funded by: EPSRC
Why might this be relevant?
The project fully answers the question by developing and demonstrating novel adaptive methods to improve the energy performance of existing buildings.
-
Unlocking the Potential of Model-Predictive Control in Non-domestic Building Energy Management: Automated Configuration and Optimisation of Control
Non-domestic buildings currently generate 18% of the UK's carbon emissions, >40% of which is due to space heating/cooling. Innovations in control are predicted to save > 25% of this figure making a sizeable contrib...
Funded by: EPSRC
Why might this be relevant?
The project partially answers the question by making model-predictive control an economically-viable technology for building energy management, but does not fully answer the question.