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The inter-temporal optimization of the operation of the nuclear fuel reservoir in a liberalized electricity market dominated by the nuclear generation

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  • Pascal Gourdel

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Maria Lykidi

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

We look at the optimal inter-temporal management of the fuel reservoir of nuclear units in a liberalized electricity market. We use the assumption that nuclear fuel works as a "reservoir" of energy due to the periodical shutdown of nuclear units to reload their fuel. In the medium-term, how a producer sets the nuclear fuel of the reservoir to respond to the variations of seasonal demand in order to maximize its production value on a multi-annual basis? The dynamic nature of the nuclear fuel reservoir highlighted the discontinuity of the price which complicates the resolution of the optimal inter-temporal production problem and even leads to a lack of solutions. Theoretically, at the optimum, nuclear is used to serve baseload and thermal follows demand's variations. Numerically, both nuclear and thermal units operate in load-following mode. Solutions characterized by a constant nuclear production do not exist which shows that the significant share of nuclear in the energy mix does not permit to produce at a constant rate unless further investments in thermal capacity are done. Inter-temporal optimization shows the role of nuclear for ensuring the equilibrium between supply and demand.

Suggested Citation

  • Pascal Gourdel & Maria Lykidi, 2014. "The inter-temporal optimization of the operation of the nuclear fuel reservoir in a liberalized electricity market dominated by the nuclear generation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01053476, HAL.
  • Handle: RePEc:hal:cesptp:halshs-01053476
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01053476
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    References listed on IDEAS

    as
    1. Pascal Gourdel & Maria Lykidi, 2014. "The optimal short-term management of flexible nuclear plants in a competitive electricity system as a case of competition with reservoir," Post-Print halshs-01053474, HAL.
    2. Maria Lykidi & Jean-Michel Glachant & Pascal Gourdel, 2012. "The optimal short-term management of flexible nuclear plants in a competitive electricity market as a case of competition with reservoir," Documents de travail du Centre d'Economie de la Sorbonne 12058, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Lauren Pouret & William J. NUTTALL, 2007. "Can Nuclear Power be Flexible?," Working Papers EPRG 0710, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    4. Soledad Arellano, 2004. "Market Power in Mixed Hydro-Thermal Electric," Documentos de Trabajo 187, Centro de Economía Aplicada, Universidad de Chile.
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    More about this item

    Keywords

    merit order price; discontinuity problem; electricity production; nuclear fuel reservoir; inter-temporal optimization; thermal production;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D41 - Microeconomics - - Market Structure, Pricing, and Design - - - Perfect Competition
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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