The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The question of energy reduction: The problem(s) with feedback
Open accessAbstract
With smart metering initiatives gaining increasing global popularity, the present paper seeks to challenge the increasingly entrenched view that providing householders with feedback about their energy usage, via an in-home-display, will lead them to substantially reduce their energy consumption. Specifically, we draw on existing quantitative and qualitative evidence to outline three key problems with feedback, namely: (a) the limited evidence of efficacy, (b) the need for user engagement, and (c) the potential for unintended consequences. We conclude by noting that, in their current form, existing in-home-displays may not induce the desired energy-reduction response anticipated by smart metering initiatives. Instead, if smart metering is to effectively reduce energy consumption there is a clear need to develop and test innovative new feedback devices that have been designed with user engagement in mind.
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Citations
Cites
The Constructive, Destructive, and Reconstructive Power of Social Norms
Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01917.x · Cited by 3,643
Social norms and energy conservation
Allcott, H. (2011) · Journal of Public Economics · doi:10.1016/j.jpubeco.2011.03.003 · Cited by 2,802 · cited 1×
“For instance, only 1 (Alcott, 2011) out of the 22 “high quality” studies from Delmas et als'.”
BackgroundA review of intervention studies aimed at household energy conservation
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Beyond the ABC: climate change policy and theories of social change
Shove, E. (2010) · Environment and Planning A: Economy and Space · doi:10.1068/a42282 · Cited by 2,439
Feedback on household electricity consumption: a tool for saving energy?
Fischer, C. (2008) · Energy Efficiency · doi:10.1007/s12053-008-9009-7 · Cited by 1,335
Empirical estimates of the direct rebound effect: A review
Sorrell, S., Dimitropoulos, J., & Sommerville, M. (2009) · Energy Policy · doi:10.1016/j.enpol.2008.11.026 · Cited by 964
Hargreaves, T., Nye, M., & Burgess, J. (2010) · Energy Policy · doi:10.1016/j.enpol.2010.05.068 · Cited by 801
What Is Energy For? Social Practice and Energy Demand
Shove, E., & Walker, G. (2014) · Theory, Culture & Society · doi:10.1177/0263276414536746 · Cited by 710
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Cited by
Vulnerability and resistance in the United Kingdom's smart meter transition
Sovacool, B. K., Kivimaa, P., Hielscher, S., & Jenkins, K. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.07.037 · Cited by 171
Sovacool, B. K., Hook, A., Sareen, S., & Geels, F. W. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102272 · Cited by 79
Indirect rebound effects on the consumer level: A state-of-the-art literature review
Reimers, H., Jacksohn, A., Appenfeller, D., Lasarov, W., Hüttel, A., Rehdanz, K., Balderjahn, I., & Hoffmann, S. (2021) · Cleaner and Responsible Consumption · doi:10.1016/j.clrc.2021.100032 · Cited by 76
Gabe-Thomas, E., Walker, I., Verplanken, B., & Shaddick, G. (2016) · PLOS ONE · doi:10.1371/journal.pone.0158949 · Cited by 33
Reusswig, F., Bock, S., Schleer, C., & Lass, W. (2021) · Frontiers in Sustainability · doi:10.3389/frsus.2021.648433 · Cited by 6
“Nearreal time feedbacks, social comparisons, and normative peergroup referencing can substantially increase simple energy use or CO2 feedbacks (Schultz et al., 2007; Nolan et al., 2008; Allcott and Rogers, 2014; Buchanan et al., 2015; De Dominicis et al., 2019).”
Background
Metadata
- Authors
- Buchanan, K., Russo, R., & Anderson, B.
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 77
- Pages
- 89-96
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W2028892929
- Cited by
- 272
- References
- 44
- FWCI
- 47.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.