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The Risk of Residential Peak Electricity Demand: A Comparison of Five European Countries

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  • Jacopo Torriti

    (School of the Built Environment, University of Reading, Whiteknights, PO Box 219, Reading RG6 6AY, UK)

Abstract

The creation of a Europe-wide electricity market combined with the increased intermittency of supply from renewable sources calls for an investigation into the risk of aggregate peak demand. This paper makes use of a risk model to assess differences in time-use data from residential end-users in five different European electricity markets. Drawing on the Multinational Time-Use Survey database, it assesses risk in relation to the probability of electrical appliance use within households for five European countries. Findings highlight in which countries and for which activities the risk of aggregate peak demand is higher and link smart home solutions (automated load control, dynamic pricing and smart appliances) to different levels of peak demand risk.

Suggested Citation

  • Jacopo Torriti, 2017. "The Risk of Residential Peak Electricity Demand: A Comparison of Five European Countries," Energies, MDPI, vol. 10(3), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:385-:d:93504
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    1. repec:bla:jcmkts:v:48:y:2010:i::p:1065-1081 is not listed on IDEAS
    2. Green, R. & Lorenzoni, A. & Perez, Y. & Pollitt, M., 2006. "Benchmarking Electricity Liberalisation in Europe’Benchmarking Electricity Liberalisation in Europe," Cambridge Working Papers in Economics 0629, Faculty of Economics, University of Cambridge.
    3. Jean-Michel Glachant & François Lévêque, 2009. "Electricity Reform in Europe," Post-Print hal-00461753, HAL.
    4. Wang, Chi-hsiang & Grozev, George & Seo, Seongwon, 2012. "Decomposition and statistical analysis for regional electricity demand forecasting," Energy, Elsevier, vol. 41(1), pages 313-325.
    5. Torriti, Jacopo & Hassan, Mohamed G. & Leach, Matthew, 2010. "Demand response experience in Europe: Policies, programmes and implementation," Energy, Elsevier, vol. 35(4), pages 1575-1583.
    6. Sinden, Graham, 2007. "Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand," Energy Policy, Elsevier, vol. 35(1), pages 112-127, January.
    7. Torriti, Jacopo, 2012. "Demand Side Management for the European Supergrid: Occupancy variances of European single-person households," Energy Policy, Elsevier, vol. 44(C), pages 199-206.
    8. Thatcher, Marcus J., 2007. "Modelling changes to electricity demand load duration curves as a consequence of predicted climate change for Australia," Energy, Elsevier, vol. 32(9), pages 1647-1659.
    9. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    10. Jacopo Torriti & Ragnar Löfstedt, 2012. "The first five years of the EU Impact Assessment system: a risk economics perspective on gaps between rationale and practice," Journal of Risk Research, Taylor & Francis Journals, vol. 15(2), pages 169-186, February.
    11. Newbery, David M., 2002. "Problems of liberalising the electricity industry," European Economic Review, Elsevier, vol. 46(4-5), pages 919-927, May.
    12. Alexa Spence & Wouter Poortinga & Nick Pidgeon & Irene Lorenzoni, 2010. "Public Perceptions of Energy Choices: The Influence of Beliefs about Climate Change and the Environment," Energy & Environment, , vol. 21(5), pages 385-407, September.
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    Cited by:

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    3. Barjaková, Martina & Belton, Cameron A. & Purcell, Karl & Lunn, Peter D., 2024. "Effective communication of time–of–use electricity tariffs: Plain and simple," Utilities Policy, Elsevier, vol. 90(C).
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    5. Allegra De Filippo & Michele Lombardi & Michela Milano, 2017. "User-Aware Electricity Price Optimization for the Competitive Market," Energies, MDPI, vol. 10(9), pages 1-23, September.

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