IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_49.html
   My bibliography  Save this book chapter

Applications of Data Envelopment Analysis (DEA) for Optimizing Energy Consumptions

In: Handbook of Smart Energy Systems

Author

Listed:
  • Zahra Mohtashami

    (Sharif University of Technology)

  • Majid Khedmati

    (Sharif University of Technology)

  • Kourosh Eshghi

    (Sharif University of Technology)

Abstract

The necessity of optimizing energy consumption, which originates from the limitation of energy resources and their growing consumption in societies, has led an increasing attention toward energy conservation. Among various approaches for optimizing energy consumption, Data Envelopment Analysis (DEA) is one which is used in different applications including agricultural production, dairy farms, industries, renewable energy systems, non-renewable energy systems, transportation systems, airlines, etc. Different DEA techniques have been used by researchers in the aforementioned applications for measuring energy efficiency, detecting inefficient DMUs, and improving inefficient sectors for optimizing energy consumption and reducing undesirable environmental impacts caused by extensive use of energy resources. Therefore, in this article we investigated 83 papers among the years 2010–2020 for providing a comprehensive literature review about applications of DEA for energy consumption optimization while investigating distribution of publications based on fields of study, DEA models, region of case studies, journals, year of publications, purpose, results, etc. In this chapter, we provided a context for simplifying the accessibility to previous researches on DEA applications in energy consumption optimization, as well as presenting a comprehensive discussion about distribution of publications based on the publication year, regions of papers’ case studies, journals, applications of DEA for energy optimization, and different types of applied DEA models. Regarding to these investigations, we presented an insight about the potential of DEA in energy optimization for both policy makers and researchers.

Suggested Citation

  • Zahra Mohtashami & Majid Khedmati & Kourosh Eshghi, 2023. "Applications of Data Envelopment Analysis (DEA) for Optimizing Energy Consumptions," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 1435-1475, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-97940-9_49
    DOI: 10.1007/978-3-030-97940-9_49
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-030-97940-9_49. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.