Efficiency ranking of different types of power plants in Iran using super efficiency method

Sakineh Sojoodi (), Laleh Dastmalchi and Hadi Neshat

Energy, 2021, vol. 233, issue C

Abstract: Nowadays, with the ever-increasing development of the communities, the demand for different forms of energy like electricity has drastically increased. Hence, attention to energy efficiency, especially electricity, seems necessary. Different approaches exist for calculating the efficiency and ranking decision-making units (DMUs), among which data envelopment analysis (DEA) and particularly super-efficiency (SE) method is of the most important ones. In this study, the efficiency of various types of thermal power plants (steam, gas and combined-cycle) has been measured in Iran from 2011 to 2019 using three SE models which are introduced by Anderson-Peterson [1]; Lin-Chen [2] and Li, Jahanshahloo and Khodabakhshi [3]. The efficiency ranking of different types of power plants in three different super-efficiency methods is almost similar. Comparison of the efficiency of combined cycle, steam and gas power plants shows that combined cycle power plants are more efficient than other power plants and gas power plants have the lowest efficiency. An examination of the efficiency score of power plants over time shows that the efficiency of combined cycle power plants has improved over time, while in other power plants this has not happened and some have experienced a reduction in efficiency.

Keywords: Data envelopment analysis (DEA); Decision making unit (DMU); Power plants; Productivity; Ranking; Super efficiency (SE) (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221013529
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:233:y:2021:i:c:s0360544221013529

DOI: 10.1016/j.energy.2021.121104

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 ().