Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Privacy Concerns as a Barrier to Sharing Data About Energy Use: A Rapid Realist Review

Version 1 : Received: 22 January 2021 / Approved: 25 January 2021 / Online: 25 January 2021 (09:24:50 CET)

A peer-reviewed article of this Preprint also exists.

Vigurs, C.; Maidment, C.; Fell, M.; Shipworth, D. Customer Privacy Concerns as a Barrier to Sharing Data about Energy Use in Smart Local Energy Systems: A Rapid Realist Review. Energies 2021, 14, 1285. Vigurs, C.; Maidment, C.; Fell, M.; Shipworth, D. Customer Privacy Concerns as a Barrier to Sharing Data about Energy Use in Smart Local Energy Systems: A Rapid Realist Review. Energies 2021, 14, 1285.

Journal reference: Energies 2021, 14, 1285
DOI: 10.3390/en14051285

Abstract

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 users’ concern, and cause for concern, around privacy. We conducted a rapid realist review and thematic framework analysis against Bronfrenbrenner’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 newdata 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 can 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 behaviors: both of which are necessary for SLES to achieve their goals of managing energy demand and building resilience in smart grids.

Subject Areas

Rapid Realist Review 2; Smart local energy system 3; Barriers 4; Privacy

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