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What is the potential for scalable smart meter data measures of building performance (in combination with other data on local areas) to inform area-based decisions?

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

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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


  • Smart Connected Buildings: Model based performance monitoring and feedback loops

    Buildings are becoming increasingly ‘connected’, be it in the provision of services or added functionality for consumers (smart heating, lighting, security, IoT appliances, IFTTT), metering and billing by utility provide...

    Funded by: Innovate UK

    Why might this be relevant?

    The project focuses on using smart meter data to inform building performance decisions, providing actionable advice for various stakeholders.

  • Data-Smart Building Case Studies

    The building sector accounts for about 40% of total final energy use and harbours the enormous potential to save energy and reduce CO2-emissions in a cost-effective way. Many of these cost-effective opportunities do not ...

    Funded by: EPSRC

    Why might this be relevant?

    The project explores how to maximize insights and actionable information from smart meter data and contextual information to inform area-based decisions.

  • 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

    Why might this be relevant?

    The project investigates how computational intelligence techniques can be used to analyze metered building energy data, which can partially inform area-based decisions.

  • Commercial Building Asset Risk Management (BARM) Using Electrical Power Quality Data

    This project will develop an automated Building Asset Risk Management (BARM) application, delivered in the form of Software as a Service (SaaS), that uses electrical power quality data to pre-emptively highlight and en...

    Funded by: Innovate UK

  • Integration of BIM-derived smart buildings

    This project is a proof of concept to develop a centralised technology platform with an intuitive user interface to allow complex geospatial data to be presented in a way that is appropriate and meaningful for users of n...

    Funded by: Innovate UK

  • 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

  • MIRIAM: City Information Model and Neighbourhood Manager for the Real-Time…

    Title: City Information Model and Neighbourhood Manager for the Real-Time Identification and Analysis of Power and Heat Usage at the Macro-Scale (MIRIAM) Challenge Selected: Challenge 1 - Data Platform for Real Time Ener...

    Funded by: Innovate UK

  • BuildON - Affordable and digital solutions to Build the next generatiON of smart EU buildings

    The 2021 EPBD recast highlights buildings' central role in the energy transition towards an integrated and renewable energy-based EU energy system. Smarter buildings will support the digitalisation and decarbonisation tr...

    Funded by: Horizon Europe Guarantee

  • SmartNet - Distributed Domestic Monitoring, Diagnostics and Control

    SmartNet comprises the development and piloting of an integrated domestic energy system and internal environmental control platform. Based upon networked Bayesian learning software, real-time diagnostic analysis of energ...

    Funded by: Innovate UK

  • Energy Management and Analysis Exploiting Existing Building Management Systems Infrastructure and Data

    Non-domestic buildings were responsible for 120TWh energy consumption and 48MtCO2e emissions in the UK in 2010. There is an acknowledged 'performance gap' between the design expectation and operational reality of most bu...

    Funded by: EPSRC