Estimating the impact of time-of-use pricing on Irish electricity demand
Electricity demand traditionally exhibits a substantial peak during a small number of hours each day. Policymakers are aware of the potential efficiency savings that may be generated from a shift in energy consumption away from peak times. Smart meters, in conjunction with time-of-use (TOU) pricing, can facilitate an improvement in energy efficiency by providing consumers with enhanced information about electricity consumption and costs, and thereby encourage a shift away from consumption during peak hours. In 2009-10, the Irish Commission for Energy Regulation (CER) co-ordinated a randomised controlled trial in the Irish residential electricity market. Smart meters, which replaced the existing mechanical meter readers, were introduced in approximately 5,000 households. Participants were divided into control and treatment groups, with treatment groups exposed to a variety of TOU tariffs and information stimuli (in-home display (IHD) units, monthly billing, etc.). Data was collected over approximately 18 months, with the first half year being used as a control period. This paper analyses the response of Irish households to the introduction of TOU tariffs and information stimuli. We examine how households responded to the different TOU tariffs, at different times of the day (peak, day and night) and in conjunction with different information stimuli. Finally, we examine the variation in our results across households of differing socio-economic status (as proxied by education levels). We find that TOU tariffs and information stimuli have a significant effect in reducing electricity consumption in Ireland, particularly during peak hours. However, while households reduce peak demand significantly after the introduction of TOU tariffs and associated information, there is little incremental response to increasing differentials between peak and off-peak prices.
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- Anna Alberini & Will Gans & Daniel Velez-Lopez, 2011.
"Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income,"
2011.01, Fondazione Eni Enrico Mattei.
- Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
- Anna Alberini & Gans Will & Daniel Lopez-Velez, 2010. "Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income," CEPE Working paper series 10-77, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Michael G. Pollitt & Irina Shaorshadze, 2013.
"The role of behavioural economics in energy and climate policy,"
in: Handbook on Energy and Climate Change, chapter 24, pages 523-546
- Pollitt, M. G. & Shaorshadze, I., 2011. "The Role of Behavioural Economics in Energy and Climate Policy," Cambridge Working Papers in Economics 1165, Faculty of Economics, University of Cambridge.
- Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 853-883.
- Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
- Baker, Paul & Blundell, Richard & Micklewright, John, 1989. "Modelling Household Energy Expenditures Using Micro-data," Economic Journal, Royal Economic Society, vol. 99(397), pages 720-38, September.
- Dulleck, Uwe & Kaufmann, Sylvia, 2004. "Do customer information programs reduce household electricity demand?--the Irish program," Energy Policy, Elsevier, vol. 32(8), pages 1025-1032, June.
- Massimo, Filippini, 2011.
"Short- and long-run time-of-use price elasticities in Swiss residential electricity demand,"
Elsevier, vol. 39(10), pages 5811-5817, October.
- Massimo Filippini, 2010. "Short and long-run time-of-use price elasticities in Swiss residential electricity demand," CEPE Working paper series 10-76, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Gans, Will & Alberini, Anna & Longo, Alberto, 2013.
"Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland,"
Elsevier, vol. 36(C), pages 729-743.
- Will Gans & Anna Alberini & Alberto Longo, 2011. "Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland," Working Papers 2011.36, Fondazione Eni Enrico Mattei.
- Will Gans & Anna Alberini & Alberto Longo, 2011. "Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland," CEPE Working paper series 11-78, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Hunt Allcott, 2011. "Consumers' Perceptions and Misperceptions of Energy Costs," American Economic Review, American Economic Association, vol. 101(3), pages 98-104, May.
- Matsukawa, Isamu, 2001. "Household Response to Optional Peak-Load Pricing of Electricity," Journal of Regulatory Economics, Springer, vol. 20(3), pages 249-67, November.
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