IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v242y2025ics0960148125001508.html
   My bibliography  Save this article

Measuring the effects of sediment variation and evaporation loss on the overall operational efficiency of hydropower systems: A robust network data envelopment analysis model

Author

Listed:
  • Yeh, Li-Ting

Abstract

Accurately assessing hydropower system efficiency is crucial for effective management and strategic planning. Sediment variation and evaporation loss challenge water availability for energy generation, with some systems exhibiting nonpositive values for these variables. To address the effects of nonpositive data on sediment variation and evaporation loss, a robust network data envelopment analysis (DEA) model is adopted in this study. Examples are provided to illustrate the proposed method and compare the results with those of previous methods to emphasize its advantages in the handling of nonpositive data. The proposed model is applied to assess the efficiencies of water storage and energy production substages and the overall operational efficiencies of Taiwan's hydropower systems. In this study, the significance of considering sediment variation and evaporation loss when assessing the efficiency of a hydropower system is emphasized. The south-central region of Taiwan is identified as the most suitable area for hydropower development. Policymakers should develop efficiency improvement strategies for different regions, particularly during the water storage stage.

Suggested Citation

  • Yeh, Li-Ting, 2025. "Measuring the effects of sediment variation and evaporation loss on the overall operational efficiency of hydropower systems: A robust network data envelopment analysis model," Renewable Energy, Elsevier, vol. 242(C).
  • Handle: RePEc:eee:renene:v:242:y:2025:i:c:s0960148125001508
    DOI: 10.1016/j.renene.2025.122488
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125001508
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.122488?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:renene:v:242:y:2025:i:c:s0960148125001508. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.