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Revisiting Home Heat Control Theories through a UK Care Home Field Trial

Author

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  • Victoria Aragon

    (Faculty of Engineering & Physical Sciences, Boldrewood Innovation Campus, University of Southampton, Southampton SO16 7QF, UK)

  • Patrick James

    (Faculty of Engineering & Physical Sciences, Boldrewood Innovation Campus, University of Southampton, Southampton SO16 7QF, UK)

  • Stephanie Gauthier

    (Faculty of Engineering & Physical Sciences, Boldrewood Innovation Campus, University of Southampton, Southampton SO16 7QF, UK)

Abstract

Smart heating controls are being introduced in the domestic sector with the aim of reducing heating demand in buildings. However, the impact of controls on heat demand is not fully understood. This study set out to add empirical evidence to Kempton’s theory on mental models of home heat controls. With this purpose, radiator setpoint records from smart thermostatic valves in 47 flats from a care home in the South of England were evaluated over a 12-month period. Three types of households were identified: (i) low interactors who do not have interaction, or have minimal interaction, with the controls (24.5%); (ii) medium interactors who adjust their setpoint when the outdoor temperature changes and whose behavior is comparable to households that have a “feedback” mental model (49%); and (iii) high interactors who adjust the setpoint based on their own strategy, which does not necessarily follow outdoor temperature changes and reflects a lack of understanding of how the controls work (26.5%). These results highlight the contrast between expected and actual usage of home heat controls, as only half of the residents showed a behavior that is consistent with the principles of operation of the STVs.

Suggested Citation

  • Victoria Aragon & Patrick James & Stephanie Gauthier, 2022. "Revisiting Home Heat Control Theories through a UK Care Home Field Trial," Energies, MDPI, vol. 15(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:4990-:d:858163
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    References listed on IDEAS

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    1. Zhang, Tao & Siebers, Peer-Olaf & Aickelin, Uwe, 2012. "A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK," Energy Policy, Elsevier, vol. 47(C), pages 102-110.
    2. Lewis, Alan, 2015. "Designing for an imagined user: Provision for thermal comfort in energy-efficient extra-care housing," Energy Policy, Elsevier, vol. 84(C), pages 204-212.
    3. Brounen, Dirk & Kok, Nils & Quigley, John M., 2013. "Energy literacy, awareness, and conservation behavior of residential households," Energy Economics, Elsevier, vol. 38(C), pages 42-50.
    4. Turner, W.J.N. & Walker, I.S. & Roux, J., 2015. "Peak load reductions: Electric load shifting with mechanical pre-cooling of residential buildings with low thermal mass," Energy, Elsevier, vol. 82(C), pages 1057-1067.
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