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Net Zero and the potential of consumer data - United Kingdom energy sector case study: The need for cross-sectoral best data practice principles

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  • Liu, Lucy
  • Workman, Mark
  • Hayes, Sarah

Abstract

The nationwide rollout of smart meters marks a significant milestone in the digitalisation of the UK energy sector. It has allowed the collection of unprecedented amounts of consumer energy consumption and behavioural data. Providing real-time, spatially explicit, bi-directional connectivity between service providers and consumers, this data is expected to provide benefits of over £40B and contribute to behavioural nudges - which are integral to 62% of all initiatives required to achieve Net Zero by 2050. Concurrently, consumers are leaving behind digital trails across a broader spectrum of their lives through their smartphones and in-home devices. This data could also be used to accelerate digitalisation within the energy sector and yet the energy sector has limited or no visibility of it. While greater access to consumer data is expected to provide substantial opportunities for economic growth and the realisation of Net Zero both in the energy sector and across the UK economy, it also risks consumer exploitation.

Suggested Citation

  • Liu, Lucy & Workman, Mark & Hayes, Sarah, 2022. "Net Zero and the potential of consumer data - United Kingdom energy sector case study: The need for cross-sectoral best data practice principles," Energy Policy, Elsevier, vol. 163(C).
    • Handle: RePEc:eee:enepol:v:163:y:2022:i:c:s0301421522000283
    DOI: 10.1016/j.enpol.2022.112803
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    References listed on IDEAS

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    1. Valeria Di Cosmo & Sean Lyons & Anne Nolan, 2014. "Estimating the Impact of Time-of-Use Pricing on Irish Electricity Demand," The Energy Journal, , vol. 35(2), pages 117-136, April.
    2. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    3. Isaac Machorro-Cano & Giner Alor-Hernández & Mario Andrés Paredes-Valverde & Lisbeth Rodríguez-Mazahua & José Luis Sánchez-Cervantes & José Oscar Olmedo-Aguirre, 2020. "HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving," Energies, MDPI, vol. 13(5), pages 1-24, March.
    4. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    5. Elisha R. Frederiks & Karen Stenner & Elizabeth V. Hobman, 2015. "The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review," Energies, MDPI, vol. 8(1), pages 1-37, January.
    6. Sütterlin, Bernadette & Brunner, Thomas A. & Siegrist, Michael, 2011. "Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics," Energy Policy, Elsevier, vol. 39(12), pages 8137-8152.
    7. Edward W Maibach & Anthony Leiserowitz & Connie Roser-Renouf & C K Mertz, 2011. "Identifying Like-Minded Audiences for Global Warming Public Engagement Campaigns: An Audience Segmentation Analysis and Tool Development," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-9, March.
    Full references (including those not matched with items on IDEAS)

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