• DocumentCode
    2972827
  • Title

    Efficiency evaluation of natural gas power plants using Data Envelopment Analysis

  • Author

    Sofianopoulou, S. ; Dedoussis, V. ; Konstas, K. ; Kassimis, A.

  • Author_Institution
    Dept. of Ind. Manage. & Technol., Univ. of Piraeus, Piraeus, Greece
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    315
  • Lastpage
    319
  • Abstract
    The purpose of this paper is to evaluate the efficiency of a network of natural gas power plants using the Data Envelopment Analysis approach. The network is modeled as a linear system with multiple inputs and outputs. As inputs one could consider, for instance, the age of a plant, the total number of hours that a plant is in operation during each year, etc. As outputs the model considers the electrical energy delivered per year, the number of hours that the plant is not in operation, etc. The proposed approach does not only evaluate each plant relative to the other ones, but it also `produces´ policy making scenarios that would enable plant managers to improve the plant´s operational characteristics. Computational results based on real-world data are presented and discussed. Relationships between efficiency scores and various inputs/outputs are also investigated and some interesting trends are identified.
  • Keywords
    combined cycle power stations; data envelopment analysis; natural gas technology; power plants; data envelopment analysis; efficiency evaluation; electrical energy; linear system model; natural gas power plant; Data envelopment analysis; Energy management; Fossil fuels; Gas industry; Natural gas; Natural gas industry; Petroleum; Power generation; Power generation economics; Power system management; Data Envelopment Analysis; Efficiency evaluation; natural gas power plants;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373352
  • Filename
    5373352