[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/33043.html
   My bibliography  Save this paper

Apports naturels en eau dans les barrages-réservoirs et règle de Hotelling

Author

Listed:
  • Crampes, Claude
  • Moreaux, Michel
Abstract
L’article analyse la gestion annuelle des barrages hydroélectriques quand les apports naturels en eau suivent des cycles prévisibles. Nous montrons que dans ce cadre la règle de Hotelling s’applique par intermittence. En effet, d`es lors qu’un stock est constitué sans que les contraintes de capacité soient liantes, il est possible de réaliser des arbitrages intertemporels semblables à ceux de la gestion d’une ressource non-renouvelable, donc la valeur de l’eau croît au taux de l’intérêt. En revanche, quand la ressource en eau est si rare qu’on ne peut compter que sur les apports instantanés ou, au contraire, trop abondante compte tenu des capacités du réservoir de sorte qu’il faut réaliser des lâchures improductives, la règle d’arbitrage de Hotelling ne s’applique plus. Nous expliquons aussi l’importance des contraintes de turbinage qui, quand elles sont liantes, donnent à l'électricité produite une valeur supérieure `à celle de l’eau qui sert à la produire.

Suggested Citation

  • Crampes, Claude & Moreaux, Michel, 2018. "Apports naturels en eau dans les barrages-réservoirs et règle de Hotelling," TSE Working Papers 18-962, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:33043
    as

    Download full text from publisher

    File URL: https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/wp/2018/wp_tse_962.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/by/crampes/hydro_figures.pdf
    File Function: Appendice
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tse:wpaper:33043. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.