Di Cosmo, Valeria and Lyons, Sean and Nolan, Anne (2012): Estimating the impact of time-of-use pricing on Irish electricity demand.
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Abstract
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.
Item Type: | MPRA Paper |
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Original Title: | Estimating the impact of time-of-use pricing on Irish electricity demand |
Language: | English |
Keywords: | household electricity demand, electricity pricing, smart metering |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis |
Item ID: | 39971 |
Depositing User: | Valeria Di Cosmo |
Date Deposited: | 09 Jul 2012 13:31 |
Last Modified: | 27 Sep 2019 15:20 |
References: | Alberini, A., Gans, W. & Velez-Lopez, D. (2011) Residential consumption of gas and electricity in the US: the role of prices and income. Energy Economics, 33(5), 870-881. Allcott, H., Sendhil,M. (2010) Behavior and Energy Policy. Science, 327(5), 1204-1205. Allcott, H. (2011) Consumers’ Perceptions and Misperceptions of Energy Costs, American Economic Review, Papers and Proceedings, 101(3), 98-104. Aubin, C., Fougere, D., Husson, E. & Ivaldi, M. (1995) Real-Time Pricing of Electricity for Residential Customers: Econometric Analysis of an Experiment. Journal of Applied Econometrics, 10S171-S191. Baker, P., Blundell, R. & Micklewright, J. (1989) Modelling Household Energy Expenditures using Micro-Data. The Economic Journal, 99(September), 720-738. Bartusch, C., Wallin, F., Odlare, M., Vassileva, I. & Wester, L. (2011) Introducing a demand-based electricity distribution tariff in the residential sector: demand response and customer perception. Energy Economics, 39(-), 5008-5025. Card, D. & Krueger, A. (1984) Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania. American Economic Review, 84(4), 72-93. Charles River Associates (2005) Impact Evaluation of the California Statewide Pricing Pilot. Oakland, California: Charles River Associates. Commission for Energy Regulation (2011a) Electricity Smart Metering Customer Behaviour Trials (CBT) Findings Report. Dublin: Commission for Energy Regulation. Commission for Energy Regulation (2011b) Results of Electricity Cost-Benefit Analysis, Customer Behaviour Trials and Technology Trials. Smart Metering Information Paper 4. Dublin: Commission for Energy Regulation. Darby, S. (2006) The Effectiveness of Feedback on Energy Consumption. Oxford: Environmental Change Institute, University of Oxford. Dawes, J. (2004) Price Changes and Defection Levels in a Subscription-type Market. Journal of Services Marketing, 18(1). Dulleck, U. & Kaufmann, S. (2004) Do customer information programs reduce household electricity demand? The Irish program. Energy Policy, 32(8), 1025-1032. Faruqui, A. & Sergici, S. (2009) Household Response to Dynamic Pricing of Electricity - A Survey of Experimental Evidence. Cambridge, Massachusetts: The Brattle Group. Available at: http://www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentation%20_01-11-09_.pdf [last accessed 19 September 2011]. Filippini, M. (1995) Swiss residential demand for electricity by time-of-use. Resource and Energy Economics, 17(3), 281-290. Filippini, M. (2011) Short and long-run time-of-use price elasticities in Swiss residential electricity demand. Energy Policy, 39(10), 5811-5817. Gans, W., Alberini, A. & Longo, A. (2011) Smart Meter Devices and the Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland. Zurich: Centre for Energy Policy and Economics, Swiss Federal Institutes of Technology. Available at: http://www.cepe.ethz.ch/publications/workingPapers/CEPE_WP78.pdf [last accessed 01 September 2011]. Gleerup, M., Larsen, A., Leth-Petersen, S. & Togeby, M. (2010) The Effect of Feedback by Text Message (SMS) and Email on Household Electricity Consumption: Experimental Evidence. Energy Journal, 31(3), 113-132. Ham, J., Mountain, D. & Chan, M. (1997) Time-of-use prices and electricity demnad: allowing for selection bias in experimental data. RAND Journal of Economics, 28(0), S113-S141. Ito, K. (2010) Do Consumers Repsond to Average or Marginal Prices? Evidence from Nonlinear Electricity Pricing. Available at: http://ei.haas.berkeley.edu/pdf/working_papers/WP210.pdf [last accessed 29 May 2012]. Matsukawa, I. (2001) Household Response to Optional Peak-Load Pricing of Electricity. Journal of Regulatory Economics, 20(3), 249-267. Pollitt, M. & Shaorshadze, I. (2011) The Role of Behavioural Economics in Energy and Climate Policy. Available at: http://www.eprg.group.cam.ac.uk/wp-content/uploads/2011/12/EPRG1130_Main.pdf [last accessed 29 May 2012]. Reiss, P. & White, M. (2005) Household Electricity Demand Revisited. Review of Economic Studies, 72(3), 853-883. Wolak, F. (2011) Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment. American Economic Review: Papers and Proceedings, 101(3), 83-87. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/39971 |