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Real-time electricity pricing to balance green energy intermittency

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  • Ambec, Stefan
  • Crampes, Claude

Abstract

The presence of consumers able to respond to changes in wholesale electricity prices facilitates the penetration of renewable intermittent sources of energy such as wind or sun power. We investigate how adapting demand to intermittent electricity supply by making consumers price-responsive - thanks to smart meters and home automation appliances - impacts the energy mix. We show that it almost always reduces carbon emissions. Furthermore, when consumers are not too risk-averse, demand response is socially beneficial because the loss from exposing consumers to volatile prices is more than offset by lower production and environmental costs. However, the gain is decreasing when the proportion of reactive consumers increases. Therefore, depending on the costs of the necessary smart hardware, it may be non-optimal to equip the whole population.

Suggested Citation

  • Ambec, Stefan & Crampes, Claude, 2021. "Real-time electricity pricing to balance green energy intermittency," Energy Economics, Elsevier, vol. 94(C).
  • Handle: RePEc:eee:eneeco:v:94:y:2021:i:c:s014098832030414x
    DOI: 10.1016/j.eneco.2020.105074
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    Cited by:

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    2. Marchetti, Isabella & Rego, Erik Eduardo, 2022. "The impact of hourly pricing for renewable generation projects in Brazil," Renewable Energy, Elsevier, vol. 189(C), pages 601-617.
    3. Pretto, Madeline, 2021. "Tail-risk Comprehension and Protection in Real-time Electricity Pricing : Experimental Evidence," Warwick-Monash Economics Student Papers 25, Warwick Monash Economics Student Papers.
    4. Nandeeta Neerunjun, 2022. "Emissions pricing instruments with intermittent renewables: second-best policy," Working Papers hal-03740013, HAL.
    5. Fabra, Natalia, 2021. "The energy transition: An industrial economics perspective," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    6. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    7. Pébereau, Charles & Remmy, Kevin, 2023. "Barriers to real-time electricity pricing: Evidence from New Zealand," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    8. Alexander Haupt, 2023. "Environmental Policy and Renewable Energy in an Imperfectly Competitive Market," CESifo Working Paper Series 10524, CESifo.
    9. Nandeeta Neerunjun, 2022. "Emissions pricing instruments with intermittent renewables: second-best policy," AMSE Working Papers 2215, Aix-Marseille School of Economics, France.
    10. Ferrasse, Jean-Henry & Neerunjun, Nandeeta & Stahn, Hubert, 2022. "Intermittency and electricity retailing: An incomplete market approach," Mathematical Social Sciences, Elsevier, vol. 120(C), pages 24-36.
    11. Long, Yong & Liu, Xia, 2024. "Optimal green investment strategy for grid-connected microgrid considering the impact of renewable energy source endowment and incentive policy," Energy, Elsevier, vol. 295(C).

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    More about this item

    Keywords

    Electricity; Intermittency; Renewables; Dynamic pricing; Demand response; Smart meters;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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