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Unintended outcomes of electricity smart-metering: trading-off consumption and investment behaviour

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Abstract

Smart-metering allows electricity utilities to provide consumers with better information on their energy usage and to apply time-of-use pricing. These measures have been shown to reduce electricity consumption and induce time-shifting of demand. Less is known about how they affect residential energy efficiency investment behaviour. We use data from a randomised-controlled trial on a sample of almost 2500 Irish consumers, conducted over a 12-month period to investigate the effect of smart-metering and residential feedback on household investment behaviour. The results show that exposure to time-of-use pricing and information stimuli, while reducing overall and peak usage, can also have the unintended effect of reducing investment in energy efficiency measures within the home. Our findings indicate that households exposed to treatment were less likely to adopt any energy saving measure (23–28 % on average), and those households adopted less energy saving features than those in the control group (15–21 % on average). This result highlights the potential for behavioural interventions to have unintended consequences on behaviours other than those specifically targeted. Furthermore, it underlines the importance of examining a wider range of outcomes and allowing longer time-scales when evaluating this type of experiment.

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Notes

  1. 1 EU Energy Efficiency Directive 2012/27/EU (European Commission 2012)

  2. 2 EU members are required to proceed with roll-out, covering 80 % of consumers in their territory by 2020 (European Commission 2009).

  3. 3 This was through the use of IHDs, other information stimuli and time of use tariffs.

  4. 4 Similar results were found in Gans et al. (2013)

  5. 5 Similar findings have also recently been demonstrated in an Irish context for gas demand (Diffney et al. 2013). Other research on the particular dataset that we have used in this analysis has shown that feedback can significantly increase knowledge, but that this is not correlated with demand reductions (Carroll et al. 2014). This indicates that feedback may act more as a reminder and motivational tool, rather than providing educational benefits to the consumer.

  6. 6 CER Electricity Smart Metering Customer Behavioural Trial data.

  7. 7 See (CER 2011; Di Cosmo et al. 2014; Carroll et al. 2014). for further information on this trial and related research.

  8. 8 See pg 168 of http://www.cer.ie/docs/000340/cer11080(a)(ii).pdf for further information

  9. 9 We reject H 0 at a 1 % level of significance for treatment 2, and at a 5 % level for treatments 1 and 3

  10. 10 We reject H 0 at a 1 % level of significance for treatments 2 and 3, and at a 5 % level for treatment 1

  11. 11 These include socioeconomic characteristics, current stock of appliances, current stock of energy efficient measures, total energy usage for 6 month benchmark period, heating type, house characteristics and use of internet

  12. 12 See Table 10 in the Appendix.

References

  • Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25(3), 273–291.

    Article  Google Scholar 

  • Allcott, H., & Greenstone, M. (2012). Is there an energy efficiency gap?. Journal of Economic Perspectives, 26(1), 3–28. doi:10.1257/jep.26.1.3.

    Article  Google Scholar 

  • Allcott, H., & Mullainathan, S. (2010). Behavioral science and energy policy. Science, 327(5970), 1204–1205.

    Article  Google Scholar 

  • Blumstein, C., Krieg, B., Schipper, L., & York, C. (1980). Overcoming social and institutional barriers to energy conservation. Energy, 5(4), 355–371.

    Article  Google Scholar 

  • Lyndhurst, B. (2011). Exploring catalyst behaviours. A research report completed for the Department for Environment, Food and Rural Affairs.

  • Carroll, J., Lyons, S., & Denny, E. (2014). Reducing household electricity demand through smart metering: the role of improved information about energy saving. Energy Economics, 45, 234–243. doi:10.1016/j.eneco.2014.07.007.

    Article  Google Scholar 

  • CER (2011). Commission for Energy Regulation, 2011b. Results of electricity cost-benefit analysis, customer behaviour trials and technology trials. Smart metering information paper 4. Available: http://www.cer.ie.

  • Darby, S. (2001). Making it obvious: Designing feedback into energy consumption. In Energy efficiency in household appliances and lighting (pp. 685–696): Springer.

  • Di Cosmo, V., Lyons, S., & Nolan, A. (2014). Estimating the impact of time-of-use pricing on Irish electricity demand. The Energy Journal, 35(2). doi:10.5547/01956574.35.2.6.

  • Diffney, S., Lyons, S., & Malaguzzi Valeri, L. (2013). Evaluation of the effect of the Power of One campaign on natural gas consumption. Energy Policy, 62, 978–988. doi:10.1016/j.enpol.2013.07.099.

    Article  Google Scholar 

  • Dolan, P., & Galizzi, M.M. (2015). Like ripples on a pond: Behavioral spillovers and their implications for research and policy. Journal of Economic Psychology, 47, 1–16. doi:10.1016/j.joep.2014.12.003.

    Article  Google Scholar 

  • Ehrhardt-Martinez, K. (2012). A comparison of feedback-induced behaviors from monthly energy reports, online feedback, and in-home displays. In Proceedings of the ACEEE Summer Study on Energy Efficiency in Buildings.

  • Ehrhardt-Martinez, K., Donnelly, K.A., Laitner, S., & et al. (2010). Advanced metering initiatives and residential feedback programs: a meta-review for household electricity-saving opportunities. DC, USA: American Council for an Energy-Efficient Economy Washington.

    Google Scholar 

  • European Commission. (2009). Directive 2009/72/EC of the European Parliament and of the Council of 13 July 2009 Concerning common rules for the internal market in electricity and repealing Directive 2003/54/EC: Technical Report., European Commission.

  • European Commission. (2012). Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency, amending Directives 2009/125/EC and 2010/30/EU and repealing Directives 2004/8/EC and 2006/32/EC: Technical Report, European Commission.

  • Faruqui, A., Sergici, S., & Sharif, A. (2010). The impact of informational feedback on energy consumption. A survey of the experimental evidence. Energy, 35(4), 1598–1608. doi:10.1016/j.energy.2009.07.042.

    Article  Google Scholar 

  • Festinger, L. (1962). A theory of cognitive dissonance Vol. 2: Stanford University Press.

  • Gans, W., Alberini, A., & Longo, A. (2013). Smart meter devices and the effect of feedback on residential electricity consumption: evidence from a natural experiment in northern ireland. Energy Economics, 36, 729– 743.

    Article  Google Scholar 

  • Gardner, G.T., & Stern, P.C. (1996). Environmental problems and human behavior: Allyn & Bacon.

  • Golove, W.H., & Eto, J.H. (1996). Market barriers to energy efficiency: a critical reappraisal of the rationale for public policies to promote energy efficiency: LBL-38059. Berkeley, CA: Lawrence Berkeley National Laboratory.

  • Hirst, E., & Grady, S. (1983). Evaluation of a Wisconsin utility home energy audit program. Journal of Environmental Systems, 12(4), 303–320.

    Article  Google Scholar 

  • Jaffe, A.B., & Stavins, R.N. (1994). The energy-efficiency gap what does it mean?. Energy Policy, 22(10), 804– 810.

    Article  Google Scholar 

  • Lopes, M., Antunes, C., & Martins, N. (2012). Energy behaviours as promoters of energy efficiency: A 21st century review. Renewable and Sustainable Energy Reviews, 16(6), 4095–4104. doi:10.1016/j.rser.2012.03.034.

    Article  Google Scholar 

  • Merritt, A.C., Effron, D.A., & Monin, B. (2010). Moral self-licensing: When being good frees us to be bad. Social and Personality Psychology Compass, 4(5), 344–357.

    Article  Google Scholar 

  • Midden, C.J., Meter, J.F., Weenig, M.H., & Zieverink, H.J. (1983). Using feedback, reinforcement and information to reduce energy consumption in households: a field-experiment. Journal of Economic Psychology, 3(1), 65–86. doi:10.1016/0167-4870(83)90058-2.

    Article  Google Scholar 

  • Miller, D.T., & Effron, D.A. (2010). Chapter three-psychological license: when it is needed and how it functions. Advances in Experimental Social Psychology, 43, 115–155.

    Article  Google Scholar 

  • Mills, B., & Schleich, J. (2012). Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: an analysis of European countries. Energy Policy, 49, 616–628. doi:10.1016/j.enpol.2012.07.008.

    Article  Google Scholar 

  • Peattie, K. (2010). Green consumption: behavior and norms. Annual Review Environment Resources, 35(1), 195–228. doi:10.1146/annurev-environ-032609-094328.

    Article  Google Scholar 

  • Poortinga, W., Steg, L., Vlek, C., & Wiersma, G. (2003). Household preferences for energy-saving measures: a conjoint analysis. Journal of Economic Psychology, 24(1), 49– 64.

    Article  Google Scholar 

  • Schuitema, G., & Jakobsson Bergstad, C. (2012). Acceptability of environmental policies: Environmental Psychology: an introduction.

  • Staats, H., Harland, P., & Wilke, H.A. (2004). Effecting durable change a team approach to improve environmental behavior in the household. Environment and Behavior, 36(3), 341–367.

    Article  Google Scholar 

  • Thogersen, J. (2004). A cognitive dissonance interpretation of consistencies and inconsistencies in environmentally responsible behavior. Journal of Environmental Psychology, 24 (1), 93–103. doi:10.1016/S0272-4944(03)00039-2.

    Article  Google Scholar 

  • Thogersen, J., & Olander, F. (2003). Spillover of environment-friendly consumer behaviour. Journal of Environmental Psychology, 23(3), 225–236. doi:10.1016/S0272-4944(03)00018-5 10.1016/S0272-4944(03)00018-5.

    Article  Google Scholar 

  • Tiefenbeck, V., Staake, T., Roth, K., & Sachs, O. (2013). Forbetter or for worse? Empirical evidence of moral licensing in a behavioral energy conservation campaign. Energy Policy, 57, 160–171. doi:10.1016/j.enpol.2013.01.021.

    Article  Google Scholar 

  • Whitmarsh, L., & O’Neill, S. (2010). Green identity, green living? The role of pro-environmental self-identity in determining consistency across diverse pro-environmental behaviours. Journal of Environmental Psychology, 30(3), 305–314. doi:10.1016/j.jenvp.2010.01.003.

    Article  Google Scholar 

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Acknowledgments

This material is based upon works supported by the Science Foundation Ireland under grant No.09/SRC/E1780. The funding from the ESRI Energy Policy Research Centre is also gratefully acknowledged. We are grateful to the Irish Social Science Data Archive for providing data. We would also like to thank Laura Malaguzzi Valeri and Geertje Schuitema for helpful advice and participants at the TCD MWG and ESRI/UCC Energy Modelling Workshop for comments. A special thanks is due to James Carroll for generously providing data-processing code.

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Correspondence to Daire McCoy.

Appendix:

Appendix:

A characteristics of participants and dwellings

Table 8 Pre-trial distribution of socioeconomic characteristics
Table 9 Pre-trial distribution of house characteristics
Table 10 Pre-trial distribution of appliance stock and heating type
Table 11 Regression results for all investments including household control variables
Table 12 Regression results for all investments including household control variables continued

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McCoy, D., Lyons, S. Unintended outcomes of electricity smart-metering: trading-off consumption and investment behaviour. Energy Efficiency 10, 299–318 (2017). https://doi.org/10.1007/s12053-016-9452-9

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