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Demand Side Management for the European Supergrid: Occupancy variances of European single-person households

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  • Torriti, Jacopo

Abstract

The prospect of a European Supergrid calls for research on aggregate electricity peak demand and Europe-wide Demand Side Management. No attempt has been made as yet to represent a time-related demand curve of residential electricity consumption at the European level. This article assesses how active occupancy levels of single-person households vary in single-person household in 15 European countries. It makes use of occupancy time-series data from the Harmonised European Time Use Survey database to build European occupancy curves; identify peak occupancy periods; construct time-related electricity demand curves for TV and video watching activities and assess occupancy variances of single-person households.

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  • 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.
    • Handle: RePEc:eee:enepol:v:44:y:2012:i:c:p:199-206
    DOI: 10.1016/j.enpol.2012.01.039
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    Cited by:

    1. Jacopo Torriti & Philipp Grunewald, 2014. "Demand Side Response: Patterns in Europe and Future Policy Perspectives under Capacity Mechanisms," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    2. Apajalahti, Eeva-Lotta & Lovio, Raimo & Heiskanen, Eva, 2015. "From demand side management (DSM) to energy efficiency services: A Finnish case study," Energy Policy, Elsevier, vol. 81(C), pages 76-85.
    3. 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.
    4. Igor Kotenko & Igor Saenko & Oleg Lauta & Aleksander Kribel, 2020. "An Approach to Detecting Cyber Attacks against Smart Power Grids Based on the Analysis of Network Traffic Self-Similarity," Energies, MDPI, vol. 13(19), pages 1-24, September.
    5. Schleich, Joachim & Klobasa, Marian & Gölz, Sebastian & Brunner, Marc, 2013. "Effects of feedback on residential electricity demand—Findings from a field trial in Austria," Energy Policy, Elsevier, vol. 61(C), pages 1097-1106.
    6. Anees, Amir & Chen, Yi-Ping Phoebe, 2016. "True real time pricing and combined power scheduling of electric appliances in residential energy management system," Applied Energy, Elsevier, vol. 165(C), pages 592-600.
    7. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    8. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    9. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
    10. Palacios-Garcia, E.J. & Moreno-Munoz, A. & Santiago, I. & Flores-Arias, J.M. & Bellido-Outeirino, F.J. & Moreno-Garcia, I.M., 2018. "A stochastic modelling and simulation approach to heating and cooling electricity consumption in the residential sector," Energy, Elsevier, vol. 144(C), pages 1080-1091.
    11. Torriti, Jacopo, 2014. "Privatisation and cross-border electricity trade: From internal market to European Supergrid?," Energy, Elsevier, vol. 77(C), pages 635-640.
    12. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    13. Xiufeng Liu & Yanyan Yang & Rongling Li & Per Sieverts Nielsen, 2019. "A Stochastic Model for Residential User Activity Simulation," Energies, MDPI, vol. 12(17), pages 1-17, August.
    14. Schleich, Joachim & Faure, Corinne & Klobasa, Marian, 2017. "Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand," Energy Policy, Elsevier, vol. 107(C), pages 225-233.
    15. Torriti, Jacopo, 2020. "Temporal aggregation: Time use methodologies applied to residential electricity demand," Utilities Policy, Elsevier, vol. 64(C).
    16. Jacopo Torriti, 2022. "Household electricity demand, the intrinsic flexibility index and UK wholesale electricity market prices," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(1), pages 7-27, January.
    17. López-Rodríguez, M.A. & Santiago, I. & Trillo-Montero, D. & Torriti, J. & Moreno-Munoz, A., 2013. "Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption," Energy Policy, Elsevier, vol. 62(C), pages 742-751.
    18. Anderson, Ben & Torriti, Jacopo, 2018. "Explaining shifts in UK electricity demand using time use data from 1974 to 2014," Energy Policy, Elsevier, vol. 123(C), pages 544-557.
    19. Santiago, I. & López-Rodríguez, M.A. & Gil-de-Castro, A. & Moreno-Munoz, A. & Luna-Rodríguez, J.J., 2013. "Energy consumption of audiovisual devices in the residential sector: Economic impact of harmonic losses," Energy, Elsevier, vol. 60(C), pages 292-301.
    20. Zarazua de Rubens, Gerardo & Noel, Lance, 2019. "The non-technical barriers to large scale electricity networks: Analysing the case for the US and EU supergrids," Energy Policy, Elsevier, vol. 135(C).
    21. Satoshi Nakano & Ayu Washizu, 2020. "On the Acceptability of Electricity Demand Side Management by Time of Day," Energies, MDPI, vol. 13(14), pages 1-21, July.
    22. Gils, Hans Christian, 2016. "Economic potential for future demand response in Germany – Modeling approach and case study," Applied Energy, Elsevier, vol. 162(C), pages 401-415.

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