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How can data from smart metering support planning and targeting of energy efficiency retrofit and low carbon heat?

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. To achieve this, we need to better understand
the following research questions:

Next steps

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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


  • Advanced Analysis of Building Energy Performance using Computational Intelligence Approaches

    The UK government aims to achieve a 60% reduction in UK carbon emissions by 2050. Energy efficiency is a key component of the UK Government's new climate change strategy with 50% of current carbon dioxide emissions resul...

    Funded by: EPSRC

    Lead research organisation: University of Birmingham

    Why might this be relevant?

    The project aims to investigate how Computational Intelligence techniques can help in generating the analysis needed to gain the full benefit from smart metering data.

  • LAEP Forward

    The LAEP Forward project addresses the Government's Clean Growth Strategy objective of rolling out appropriate low-carbon heating solutions in homes by using recent advances in energy-efficiency modelling to create home-...

    Funded by: Innovate UK

    Lead research organisation: PASSIV UK LTD

    Why might this be relevant?

    The project addresses the use of sensor and smart-meter data with advanced machine learning to create home-specific recommendations for energy efficiency retrofit and low-carbon heat.

  • uSmart:ZERO

    Our homes account for nearly 20% of CO2 emissions and must decarbonise to meet UK Net Zero Targets. Retrofitting the UK's 29 million housing stock is critical and will help to reduce fuel poverty for 2.4m households. The...

    Funded by: ISCF

    Lead research organisation: URBANTIDE LIMITED

    Why might this be relevant?

    The project combines smart meter system metadata with multiple cross-sector data sources to identify households that would benefit from energy efficiency programs and propose intervention approaches for reducing fuel poverty and achieving net zero.

  • Smart Energy Research Lab

    The UK is investing £11 billion installing 53 million smart electricity and gas meters in domestic and small non-domestic properties by 2020. The ability to access reliable, high-resolution gas and electricity ener...

    Funded by: EPSRC

    Lead research organisation: University College London

  • HaaS Lite - Heating as a Service Lite

    A feasibility study on the opportunity offered by the smart meter rollout to provide data supporting the financing of energy saving measures and exploring the concept of "Heating as a Service"....

    Funded by: Innovate UK

    Lead research organisation: VESTEMI LIMITED

  • Generating value from smart electricity meter data

    The rollout of smart electricity meters heralds an explosion in the quantity and resolution of meter data: 500Bn consumption datapoints annually contrasts with the current volume of some 100M meter readings. If leveraged...

    Funded by: Innovate UK

    Lead research organisation: CENTRE FOR SUSTAINABLE ENERGY

  • Energy Data Integration System’ (EDIS)

    Challenge 1: Develop a data platform for power and heat usage with sufficient granularity to identify community trends and individual usage patterns in both domestic and commercial buildings. Title: Energy Data Integrat...

    Funded by: Innovate UK

    Lead research organisation: RICARDO-AEA LIMITED

  • Skyprospector - Predicting savings from “microgeneration aware” dynamic demand technology

    Skyprospector is a service that enables electricity customers to determine the mix of microgeneration and dynamic demand shifting technologies that provides the best return on investment for their context. The Skyprospec...

    Funded by: Innovate UK

    Lead research organisation: CLEAN ENERGY PROSPECTOR LTD

  • IDEAL: Intelligent Domestic Energy Advice Loop

    Reducing energy demand from existing dwellings through occupant behaviour change is crucial for meeting UK carbon emission reduction targets. Dwellings account directly for 32% of UK energy consumption, and corresponding...

    Funded by: EPSRC

    Lead research organisation: University of Edinburgh

  • Real time Energy Heat and Power platform (REHP)

    Challenge 1: Develop a data platform for power and heat usage with sufficient granularity to identify community trends and individual usage patterns in both domestic and commercial buildings. Title: Real time Energy Hea...

    Funded by: Innovate UK

    Lead research organisation: RICARDO-AEA LIMITED

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