Archived

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:

Beis areas research interest interim update 2020

Related UKRI funded projects


  • 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

    Lead research organisation: Durham University

    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.

  • 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

    Lead research organisation: Imperial College London

    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.

  • 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

    Lead research organisation: ALIAN LTD

    Why might this be relevant?

    The project is focused on optimizing the electricity system and has expertise in AI and digital optimization.

  • Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)

    Electrical power and energy systems represent critical national infrastructure that interoperates with wider economic sectors including transport, communications, agriculture, manufacturing, construction and education. R...

    Funded by: FLF

    Lead research organisation: University of Sheffield

  • Supergen Network Plus in Artificial Intelligence for Renewable Energy (SuperAIRE)

    SuperAIRE aims to establish a world-leading network connecting academia, industries, and policymakers across the spectrum of artificial intelligence (AI) for renewable energy (RE), particularly wind, solar, marine, and b...

    Funded by: EPSRC

    Lead research organisation: University of Warwick

  • Manchester Metropolitan University and Oak Tree Power Limited KTP 22_23 R3

    To develop novel Artificial Intelligence and Machined Learning capabilities for a Sustainable Energy Management System....

    Funded by: Innovate UK

    Lead research organisation: MANCHESTER METROPOLITAN UNIVERSITY

  • SUPERGEN 1 Renewal Core - FlexNet: Renewal of the Supergen consortium on Future Network Technologies

    FlexNet has been set the goal of researching the future form of the electricity network. This is a great challenge because electricity networks are formed from long lifetime equipment that will often be in place for more...

    Funded by: EPSRC

    Lead research organisation: University of Strathclyde

  • DEPENDABLE SMART ENERGY SYSTEMS

    The development of innovative technologies and solutions, which support the EU, UK and its citizens, industries and businesses by responding to the unprecedented climatic and environmental-related challenges, is the def...

    Funded by: Horizon Europe Guarantee

    Lead research organisation: University of Manchester

  • HubNet: Research Leadership and Networking for Energy Networks

    Achieving the decarbonisation of the economy while maintaining the security and reliability of the energy supply will require a profound transformation of the networks used to transport energy into and within the country...

    Funded by: EPSRC

    Lead research organisation: Imperial College London

  • A resilient high-speed Digital Twin for critical energy infrastructure applications.

    The UK's power distribution networks are undergoing their biggest change since the formation of the electricity grid almost a century ago. Until just over a decade ago, the grid power was produced by a few large-scale po...

    Funded by: Innovate UK

    Lead research organisation: VIVIDGRD LTD

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