Further research is encouraged into the digital optimisation, design and artificial intelligence to optimise the electricity system and in the design of nuclear and offshore wind.
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:
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Related UKRI funded projects
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Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation (VPP-WARD)
Distributed Energy Resources (DERs) are small, modular energy generation and storage units, e.g., wind turbines, photovoltaics, batteries, and electric vehicles, that could be connected directly to the power distribution...
Funded by: EPSRC
Why might this be relevant?
The project focuses on the use of AI in managing Distributed Energy Resources (DERs) for grid resilience and decarbonisation, which aligns with the question's focus on AI and electricity system optimisation, but does not address nuclear and offshore wind design.
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Real-time digital optimisation and decision making for energy and transport systems
In this project, we will seamlessly combine two disciplines that have been historically received continuous government and industrial funding: physics-based modelling, which is generalisable and robust but may require tr...
Funded by: EPSRC
Why might this be relevant?
The project involves real-time digital optimisation for energy systems, which is relevant to the question, but does not specifically address the design of nuclear and offshore wind.
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AI-Powered Digital Twin for the Power System
The UK is committed to achieving Net Zero emissions by 2050 (BEIS, 2019). Achieving this requires extensive reconfiguration of our energy system from 'top-down' to 'bottom-up', integrating new low-carbon technologies (e....
Funded by: ISCF
Why might this be relevant?
The project focuses on AI optimization for the electricity system, aligning with the need for digital optimization and artificial intelligence in the energy sector.