Operational and non-operational performance evaluation of thermal power plants in Iran: A game theory approach
Mustafa Jahangoshai Rezaee,
Alireza Moini and
Ahmad Makui
Energy, 2012, vol. 38, issue 1, 96-103
Abstract:
This research introduces a new approach to evaluate thermal power plants. In this study, we define two categories of inputs (operational and non-operational) to measure performance of power plants. In a real case study, it is necessary to explore how to combine two separated efficiency measures in a unified structure. The conventional data envelopment analysis (DEA) may fail to discriminate among decision making units (DMUs) and the resulting efficiency scores may not be meaningful, especially when the number of DMUs is insufficient. In this paper, a new approach is presented based on DEA and game theory to evaluate DMUs by a large scale of measures. For this purpose, bargaining game as a cooperative game model and the conventional DEA models are combined. The proposed approach regardless of the number of DMUs does discriminate among the DMUs more effectively. Moreover, DMUs do be compared by different categories of measures in the competitive environment. Furthermore, the case study of thermal power plants in Iran is presented to show the abilities of the proposed approach. Power plants usually have the governmental structure in Iran. Finally, we answer the question of “why the power plants should move towards becoming private in Iran?”.
Keywords: Data envelopment analysis; Nash bargaining game; Unified efficiency; Operational and non-operational measures; Thermal power plants (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544211008553
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:38:y:2012:i:1:p:96-103
DOI: 10.1016/j.energy.2011.12.030
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().