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A two-part feed-in-tariff for intermittent electricity generation

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  • Antweiler, Werner

Abstract

As electricity generation from intermittent energy sources (wind, sun, tides) is gaining momentum, it becomes increasingly important to price these electricity sources efficiently. Conventional flat feed-in-tariffs ignore the heterogeneity of these sources. Taking into account the degree of substitutability or complementarity of these sources with respect to each other and with respect to stochastic demand variations, this paper derives optimal pricing instruments composed of a feed-in-tariff (FIT) and a capacity-augmentation-tariff (CAT). An empirical analysis looks at wind and solar farms operating in Ontario in order to determine the optimal use of FIT-CAT pricing. The magnitude of optimal price differentiation turns out to be economically significant. Furthermore, the emergence of grid-scale electricity storage underscores the need to price energy and capacity separately.

Suggested Citation

  • Antweiler, Werner, 2017. "A two-part feed-in-tariff for intermittent electricity generation," Energy Economics, Elsevier, vol. 65(C), pages 458-470.
    • Handle: RePEc:eee:eneeco:v:65:y:2017:i:c:p:458-470
    DOI: 10.1016/j.eneco.2017.05.010
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    3. David P. Brown and Andrew Eckert, 2020. "Imperfect Competition in Electricity Markets with Renewable Generation: The Role of Renewable Compensation Policies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 61-88.
    4. Antweiler, Werner & Muesgens, Felix, 2024. "The new merit order: The viability of energy-only electricity markets with only intermittent renewable energy sources and grid-scale storage," Ruhr Economic Papers 1064, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Antweiler, Werner, 2021. "Microeconomic models of electricity storage: Price Forecasting, arbitrage limits, curtailment insurance, and transmission line utilization," Energy Economics, Elsevier, vol. 101(C).
    6. Hao, Peng & Guo, Jun-Peng & Chen, Yihsu & Xie, Bai-Chen, 2020. "Does a combined strategy outperform independent policies? Impact of incentive policies on renewable power generation," Omega, Elsevier, vol. 97(C).
    7. Laur, Arnaud & Nieto-Martin, Jesus & Bunn, Derek W. & Vicente-Pastor, Alejandro, 2020. "Optimal procurement of flexibility services within electricity distribution networks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 34-47.
    8. Li, Jinke & Liu, Guy & Shao, Jing, 2020. "Understanding the ROC transfer payment in the renewable obligation with the recycling mechanism in the United Kingdom," Energy Economics, Elsevier, vol. 87(C).
    9. Mier, Mathias, 2021. "Efficient pricing of electricity revisited," Energy Economics, Elsevier, vol. 104(C).
    10. Tsao, Yu-Chung & Thanh, Vo-Van & Lu, Jye-Chyi, 2022. "Efficiency of resilient three-part tariff pricing schemes in residential power markets," Energy, Elsevier, vol. 239(PD).
    11. Morcillo, José D. & Franco, Carlos J. & Angulo, Fabiola, 2018. "Simulation of demand growth scenarios in the Colombian electricity market: An integration of system dynamics and dynamic systems," Applied Energy, Elsevier, vol. 216(C), pages 504-520.
    12. Zhang, Ruixiaoxiao & Shimada, Koji & Ni, Meng & Shen, Geoffrey Q.P. & Wong, Johnny K.W., 2020. "Low or No subsidy? Proposing a regional power grid based wind power feed-in tariff benchmark price mechanism in China," Energy Policy, Elsevier, vol. 146(C).

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    More about this item

    Keywords

    Electricity economics; Feed-in-tariffs; Renewable energy; Wind farms; Solar farms; Price differentiation; Two-part tariffs;
    All these keywords.

    JEL classification:

    • 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

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