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A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK

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  • Zhang, Tao
  • Siebers, Peer-Olaf
  • Aickelin, Uwe

Abstract

This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e., economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for archetyping residential energy consumers in the UK by considering property energy efficiency levels, the greenness of household behaviour of using energy, and the duration of property daytime occupancy. With the proposed model, eight archetypes of residential energy consumers in the UK have been identified. They are: pioneer greens, follower greens, concerned greens, home stayers, unconscientious wasters, regular wasters, daytime wasters, and disengaged wasters. Using a case study, these archetypes of residential energy consumers demonstrate the robustness of the 3-D model in aiding local energy policy/intervention design in the UK.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:47:y:2012:i:c:p:102-110
    DOI: 10.1016/j.enpol.2012.04.027
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    1. Kelly, S., 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Cambridge Working Papers in Economics 1139, Faculty of Economics, University of Cambridge.
    2. 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.
    3. Baker, Paul & Blundell, Richard & Micklewright, John, 1989. "Modelling Household Energy Expenditures Using Micro-data," Economic Journal, Royal Economic Society, vol. 99(397), pages 720-738, September.
    4. Zhang, T. & Nuttall, W.J., 2008. "Evaluating Government’s Policies on Promoting Smart Metering in Retail Electricity Markets via Agent Based Simulation," Cambridge Working Papers in Economics 0842, Faculty of Economics, University of Cambridge.
    5. Keirstead, James, 2006. "Evaluating the applicability of integrated domestic energy consumption frameworks in the UK," Energy Policy, Elsevier, vol. 34(17), pages 3065-3077, November.
    6. Keirstead, James & Schulz, Niels B., 2010. "London and beyond: Taking a closer look at urban energy policy," Energy Policy, Elsevier, vol. 38(9), pages 4870-4879, September.
    7. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
    8. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    9. Baker, Keith J. & Rylatt, R. Mark, 2008. "Improving the prediction of UK domestic energy-demand using annual consumption-data," Applied Energy, Elsevier, vol. 85(6), pages 475-482, June.
    10. Faber, Albert & Valente, Marco & Janssen, Peter, 2010. "Exploring domestic micro-cogeneration in the Netherlands: An agent-based demand model for technology diffusion," Energy Policy, Elsevier, vol. 38(6), pages 2763-2775, June.
    11. Mansouri, Iman & Newborough, Marcus & Probert, Douglas, 1996. "Energy consumption in UK households: Impact of domestic electrical appliances," Applied Energy, Elsevier, vol. 54(3), pages 211-285, July.
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    2. Virkki-Hatakka, Terhi & Luoranen, Mika & Ikävalko, Markku, 2013. "Differences in perception: How the experts look at energy efficiency (findings from a Finnish survey)," Energy Policy, Elsevier, vol. 60(C), pages 499-508.
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    6. 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.
    7. Dujuan Yang & Harry Timmermans & Aloys Borgers, 2016. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment," Transportation, Springer, vol. 43(1), pages 79-100, January.
    8. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    9. Fetzer, Thiemo & Gazze, Ludovica & Bishop, Menna, 2022. "Distributional and climate implications of policy responses to the energy crisis: Lessons from the UK," CAGE Online Working Paper Series 644, Competitive Advantage in the Global Economy (CAGE).
    10. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
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    12. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project," Energies, MDPI, vol. 14(12), pages 1-26, June.
    13. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Are You a Typical Energy Consumer? Socioeconomic Characteristics of Behavioural Segmentation Representatives of 8 European Countries," Energies, MDPI, vol. 14(19), pages 1-28, September.
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