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The price signal paradigm – On the evolution and limitations of demand-side flexibility in the EU

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  • El Gohary, Fouad

Abstract

Demand-side flexibility (DSF) generally refers to adjusting electricity demand to better match supply and capacity in the grid. Widely seen as a central pillar of the energy transition, it is anticipated to play a key role in decarbonization. Despite its recent popularity, its efficacy as a policy instrument remains limited. This paper argues that DSF is being hindered by an overreliance on what is seen as its primary lever – the price signal. The price signal “paradigm” refers to how the general problem of fostering a more flexible demand side has been constrained to the narrow task of having users respond to price signals. The consequence of this development has been for policymakers and system operators to limit themselves to the role of information providers and neutral market facilitators, absolving themselves of more direct obligations and shifting the bulk of the responsibility onto end users who are required to actively participate in the electricity market. This paper explores the emergence of this paradigm, shedding light on the historical factors that have shaped the evolution of DSF, and the limitations inherent to its contemporary form. It outlines policy recommendations and an alternative approach that centers on shifting more responsibility towards system operators.

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  • El Gohary, Fouad, 2024. "The price signal paradigm – On the evolution and limitations of demand-side flexibility in the EU," Energy Policy, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:enepol:v:192:y:2024:i:c:s0301421524002593
    DOI: 10.1016/j.enpol.2024.114239
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    1. Hobman, Elizabeth V. & Frederiks, Elisha R. & Stenner, Karen & Meikle, Sarah, 2016. "Uptake and usage of cost-reflective electricity pricing: Insights from psychology and behavioural economics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 455-467.
    2. Aydin, Erdal & Brounen, Dirk & Kok, Nils, 2018. "Information provision and energy consumption: Evidence from a field experiment," Energy Economics, Elsevier, vol. 71(C), pages 403-410.
    3. Thomas N. Taylor & Peter M. Schwarz, 1986. "A Residential Demand Charge: Evidence from the Duke Power Time-of-Day Pricing Experiment," The Energy Journal, , vol. 7(2), pages 135-152, April.
    4. Michael G. Pollitt, 2019. "The European Single Market in Electricity: An Economic Assessment," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 63-87, August.
    5. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    6. Davis, Alexander L. & Krishnamurti, Tamar & Fischhoff, Baruch & Bruine de Bruin, Wandi, 2013. "Setting a standard for electricity pilot studies," Energy Policy, Elsevier, vol. 62(C), pages 401-409.
    7. Thomas N. Taylor & Peter M. Schwarz, 1986. "A Residential Demand Charge: Evidence from the Duke Power Time-of-Day Pricing Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 135-151.
    8. Paterakis, Nikolaos G. & Erdinç, Ozan & Catalão, João P.S., 2017. "An overview of Demand Response: Key-elements and international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 871-891.
    9. 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.
    10. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
    11. El Gohary, F. & Nordin, M. & Juslin, P. & Bartusch, C., 2022. "Evaluating user understanding and exposure effects of demand-based tariffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    12. Madureira, Nuno Luís, 2010. "The European debate on rate systems in the interwar period," Energy Policy, Elsevier, vol. 38(8), pages 4703-4711, August.
    13. Sioshansi, Fereidoon P, 1995. "Demand-side management : The third wave," Energy Policy, Elsevier, vol. 23(2), pages 111-114, February.
    14. Nadel, Steven & Geller, Howard, 1996. "Utility DSM : What have we learned? Where are we going?," Energy Policy, Elsevier, vol. 24(4), pages 289-302, April.
    15. Sloot, Daniel & Scheibehenne, Benjamin, 2022. "Understanding the financial incentive conundrum: A meta-analysis of the effectiveness of financial incentive interventions in promoting energy conservation behavior," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    16. Inês, Campos & Guilherme, Pontes Luz & Esther, Marín-González & Swantje, Gährs & Stephen, Hall & Lars, Holstenkamp, 2020. "Regulatory challenges and opportunities for collective renewable energy prosumers in the EU," Energy Policy, Elsevier, vol. 138(C).
    17. Bradley, Peter & Coke, Alexia & Leach, Matthew, 2016. "Financial incentive approaches for reducing peak electricity demand, experience from pilot trials with a UK energy provider," Energy Policy, Elsevier, vol. 98(C), pages 108-120.
    18. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.
    19. Dorokhina K. & Ignatov Alexander & Larionova Marina & Popova Irina & Sakharov Andrey & Shelepov Andrey, 2023. "Russia in international institutes in 2022," Published Papers ppaper-2023-1293, Gaidar Institute for Economic Policy, revised 2023.
    20. Abdelmotteleb, Ibtihal & Gómez, Tomás & Chaves Ávila, José Pablo & Reneses, Javier, 2018. "Designing efficient distribution network charges in the context of active customers," Applied Energy, Elsevier, vol. 210(C), pages 815-826.
    21. Harvey, David, 2007. "A Brief History of Neoliberalism," OUP Catalogue, Oxford University Press, number 9780199283279.
    22. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    23. Wohlfarth, Katharina & Klobasa, Marian & Gutknecht, Ralph, 2020. "Demand response in the service sector – Theoretical, technical and practical potentials," Applied Energy, Elsevier, vol. 258(C).
    24. Markus Giesler & Ela Veresiu, 2014. "Creating the Responsible Consumer: Moralistic Governance Regimes and Consumer Subjectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(3), pages 840-857.
    25. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
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