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Second-best electricity pricing in France: Effectiveness of existing rates in evolving power markets

Author

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  • Cabot, Clément
  • Villavicencio, Manuel

Abstract

The adoption of time-varying pricing in the French electricity market has been historically low despite their availability to consumers well before the deployment of smart metering. However, as the share of variable renewable electricity increases and carbon prices grow, the demand-side response will become increasingly important to achieve efficiency gains. Relying on the historical hourly consumption of French electricity consumers and multiple prospective weather years, we study the gain allowed by the broader adoption of time-varying electricity retail rates in low-carbon power systems. We develop a four-stage methodology to assess the efficiency and stability of the electricity supply cost component of the electricity bill in France for historical and prospective years. Our analysis demonstrates that peak pricing schemes have increasing interest in the context of further deployment of renewable capacity, capturing 25% to 50% of the welfare gain reached by real-time pricing schemes. The corresponding deadweight loss of peak pricing schemes represents 0.4 to 1 bn EUR per year in 2030 compared to real-time prices (RTP) schemes. Conversely, deadweight loss of current time-of-use (ToU) rates represents 1 to 1.2 bn EUR per year in 2025 and increases over time. The current design of TOU rates does not provide adequate incentives in future power systems. Besides the tariff efficiency, the results underlined an increasing price difference between on-peak and off-peak rates. This questions the social acceptance of time-varying retail rates for consumers unable to hedge against peak prices. By analysing the effectiveness and limitations of time-varying rates, our findings underline the importance and value of price-based DR in future power systems in general. Our results highlight the need to revise the end-user tariff design in the French power system, notably with regard to the conveyed price signals.

Suggested Citation

  • Cabot, Clément & Villavicencio, Manuel, 2024. "Second-best electricity pricing in France: Effectiveness of existing rates in evolving power markets," Energy Economics, Elsevier, vol. 136(C).
  • Handle: RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324003815
    DOI: 10.1016/j.eneco.2024.107673
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    References listed on IDEAS

    as
    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Ansarin, Mohammad & Ghiassi-Farrokhfal, Yashar & Ketter, Wolfgang & Collins, John, 2020. "The economic consequences of electricity tariff design in a renewable energy era," Applied Energy, Elsevier, vol. 275(C).
    3. Alexandre Mayol & Carine Staropoli, 2021. "Giving consumers too many choices: a false good idea? A lab experiment on water and electricity tariffs," European Journal of Law and Economics, Springer, vol. 51(2), pages 383-410, April.
    4. Ambec, Stefan & Crampes, Claude, 2021. "Real-time electricity pricing to balance green energy intermittency," Energy Economics, Elsevier, vol. 94(C).
    5. Tim Schittekatte & Dharik S. Mallapragada & Paul L. Joskow & Richard Schmalensee, 2022. "Electricity Retail Rate Design in a Decarbonized Economy: An Analysis of Time-Of-Use and Critical Peak Pricing," NBER Working Papers 30560, National Bureau of Economic Research, Inc.
    6. David Wozabal & Christoph Graf & David Hirschmann, 2016. "The effect of intermittent renewables on the electricity price variance," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 687-709, July.
    7. Mark R. Jacobsen & Christopher R. Knittel & James M. Sallee & Arthur A. van Benthem, 2020. "The Use of Regression Statistics to Analyze Imperfect Pricing Policies," Journal of Political Economy, University of Chicago Press, vol. 128(5), pages 1826-1876.
    8. Ziegler, Andreas, 2020. "Heterogeneous preferences and the individual change to alternative electricity contracts," Energy Economics, Elsevier, vol. 91(C).
    9. Doostizadeh, Meysam & Ghasemi, Hassan, 2012. "A day-ahead electricity pricing model based on smart metering and demand-side management," Energy, Elsevier, vol. 46(1), pages 221-230.
    10. Eldridge, B. & O Neill, R. & Hobbs, B., 2018. "Pricing in Day-Ahead Electricity Markets with Near-Optimal Unit Commitment," Cambridge Working Papers in Economics 1872, Faculty of Economics, University of Cambridge.
    11. Morell-Dameto, Nicolás & Chaves-Ávila, José Pablo & Gómez San Román, Tomás & Schittekatte, Tim, 2023. "Forward-looking dynamic network charges for real-world electricity systems: A Slovenian case study," Energy Economics, Elsevier, vol. 125(C).
    12. Garnache, Cloé & Hernaes, Øystein & Imenes, Anders Gravir, 2022. "Which Households Respond to Electricity Peak Pricing amid High Levels of Electrification?," IZA Discussion Papers 15194, IZA Network @ LISER.
    13. Matthew Harding & Steven Sexton, 2017. "Household Response to Time-Varying Electricity Prices," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 337-359, October.
    14. repec:aen:journl:2005v26-03-a05 is not listed on IDEAS
    15. repec:hal:journl:hal-04755370 is not listed on IDEAS
    16. Hofmann, Matthias & Lindberg, Karen Byskov, 2024. "Evidence of households' demand flexibility in response to variable hourly electricity prices – Results from a comprehensive field experiment in Norway," Energy Policy, Elsevier, vol. 184(C).
    17. Aubin, Christophe, et al, 1995. "Real-Time Pricing of Electricity for Residential Customers: Econometric Analysis of an Experiment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(S), pages 171-191, Suppl. De.
    18. Matthew Harding & Steven Sexton, 2017. "Household Response to Time-Varying Electricity Prices," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 337-359, October.
    19. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2019. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles," Energies, MDPI, vol. 12(22), pages 1-22, November.
    20. Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
    21. Penelope Buckley, 2020. "Prices, information and nudges for residential electricity conservation : A meta-analysis," Post-Print hal-02500507, HAL.
    22. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    23. Frank A. Wolak, 2011. "Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment," American Economic Review, American Economic Association, vol. 101(3), pages 83-87, May.
    24. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    25. Nolting, Lars & Praktiknjo, Aaron, 2019. "Techno-economic analysis of flexible heat pump controls," Applied Energy, Elsevier, vol. 238(C), pages 1417-1433.
    26. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
    27. Buckley, Penelope, 2020. "Prices, information and nudges for residential electricity conservation: A meta-analysis," Ecological Economics, Elsevier, vol. 172(C).
    28. Severin Borenstein, 2005. "The Long-Run Efficiency of Real-Time Electricity Pricing," The Energy Journal, , vol. 26(3), pages 93-116, July.
    29. Schöniger, Franziska & Morawetz, Ulrich B., 2022. "What comes down must go up: Why fluctuating renewable energy does not necessarily increase electricity spot price variance in Europe," Energy Economics, Elsevier, vol. 111(C).
    30. 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.
    31. repec:aen:eeepjl:eeep8-2-wolak is not listed on IDEAS
    32. Aalami, H.A. & Moghaddam, M. Parsa & Yousefi, G.R., 2010. "Demand response modeling considering Interruptible/Curtailable loads and capacity market programs," Applied Energy, Elsevier, vol. 87(1), pages 243-250, January.
    33. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.
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    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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