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Customer Privacy Concerns as a Barrier to Sharing Data about Energy Use in Smart Local Energy Systems: A Rapid Realist Review

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  • Carol Vigurs

    (EPPI-Centre, Social Research Institute, UCL—University College London, London WC1H 0NR, UK)

  • Chris Maidment

    (UCL Energy Institute, Bartlett School of Environment, Energy and Resources, UCL—University College London, London WC1E 6BT, UK)

  • Michael Fell

    (UCL Energy Institute, Bartlett School of Environment, Energy and Resources, UCL—University College London, London WC1E 6BT, UK)

  • David Shipworth

    (UCL Energy Institute, Bartlett School of Environment, Energy and Resources, UCL—University College London, London WC1E 6BT, UK)

Abstract

The purpose of this review is to investigate the nature of privacy concerns in the context of smart local energy systems (SLES) to understand how SLES providers can minimize both user concerns, and cause for concern, around privacy. We conducted a rapid realist review and thematic framework analysis against Bronfenbrenner’s socio–ecological model to understand privacy concerns in different contexts. A common privacy concern was that sharing detailed energy use data had the potential to reveal information about home life, and to intrude upon people’s sense of autonomy, choice, and control. Evidence suggests that people are willing to accept new data sharing technologies if the benefits of doing so are clear, anticipated, and mutually beneficial. Building trust, through increasing knowledge and understanding, was a mechanism for overcoming privacy concerns, but this was mediated by the organization providing the information. Non-profit organizations were more trusted to ensure appropriate safeguards to privacy were in place. One key barrier to participation with good supporting evidence was that people could resist perceived intrusions on their privacy. This could be actively resisted by refusing to install data collection technologies or passively by non-participation in adapting energy use behaviours: both of which are necessary for SLES to achieve their goals of managing energy demand and building resilience in smart grids.

Suggested Citation

  • Carol Vigurs & Chris Maidment & Michael Fell & David Shipworth, 2021. "Customer Privacy Concerns as a Barrier to Sharing Data about Energy Use in Smart Local Energy Systems: A Rapid Realist Review," Energies, MDPI, vol. 14(5), pages 1-33, February.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1285-:d:506356
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    References listed on IDEAS

    as
    1. Anita Gärling & John Thøgersen, 2001. "Marketing of electric vehicles," Business Strategy and the Environment, Wiley Blackwell, vol. 10(1), pages 53-65, January.
    2. Ivan K. W. Lai & Yide Liu & Xinbo Sun & Hao Zhang & Weiwei Xu, 2015. "Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau," Sustainability, MDPI, vol. 7(9), pages 1-22, September.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2010. "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, Elsevier, vol. 38(10), pages 6111-6119, October.
    5. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    6. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    7. Arts, Joep W.C. & Frambach, Ruud T. & Bijmolt, Tammo H.A., 2011. "Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 134-144.
    8. McCabe, Annie & Pojani, Dorina & van Groenou, Anthony Broese, 2018. "The application of renewable energy to social housing: A systematic review," Energy Policy, Elsevier, vol. 114(C), pages 549-557.
    9. Blankenberg, Ann-Kathrin & Alhusen, Harm, 2019. "On the determinants of pro-environmental behavior: A literature review and guide for the empirical economist," University of Göttingen Working Papers in Economics 350, University of Goettingen, Department of Economics, revised 2019.
    10. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
    11. Vázquez-Canteli, José R. & Nagy, Zoltán, 2019. "Reinforcement learning for demand response: A review of algorithms and modeling techniques," Applied Energy, Elsevier, vol. 235(C), pages 1072-1089.
    12. Melville, Emilia & Christie, Ian & Burningham, Kate & Way, Celia & Hampshire, Phil, 2017. "The electric commons: A qualitative study of community accountability," Energy Policy, Elsevier, vol. 106(C), pages 12-21.
    13. Bahaj, A.S. & James, P.A.B., 2007. "Urban energy generation: The added value of photovoltaics in social housing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(9), pages 2121-2136, December.
    14. Delmas, Magali A. & Lessem, Neil, 2014. "Saving power to conserve your reputation? The effectiveness of private versus public information," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 353-370.
    15. Ford, Rebecca & Maidment, Chris & Vigurs, Carol & Fell, Michael J. & Morris, Madeleine, 2021. "Smart local energy systems (SLES): A framework for exploring transition, context, and impacts," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    16. Jenifer Sunrise Winter, 2015. "Citizen Perspectives on the Customization/Privacy Paradox Related to Smart Meter Implementation," International Journal of Technoethics (IJT), IGI Global, vol. 6(1), pages 45-59, January.
    17. Adam B. Jaffe & Robert N. Stavins, 1994. "Energy-Efficiency Investments and Public Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 43-66.
    18. Zhou, Kaile & Fu, Chao & Yang, Shanlin, 2016. "Big data driven smart energy management: From big data to big insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 215-225.
    19. Valor, Carmen & Escudero, Carmen & Labajo, Victoria & Cossent, Rafael, 2019. "Effective design of domestic energy efficiency displays: A proposed architecture based on empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
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