The Efficiency Assessment of Renewable Energy Sources with Data Envelopment Analysis

2018 Annual Meeting of the Decision Sciences Institute Proceedings, Chicago IL, November 2018.

13 Pages Posted: 19 Jun 2017 Last revised: 1 Nov 2018

See all articles by Ümit Saglam

Ümit Saglam

East Tennessee State University

Date Written: October 31, 2018

Abstract

In this paper, we compare the efficiencies of seven primary renewable energy technologies that generate electricity. We use Data Envelopment Analysis (DEA) to determine the most efficient renewable energy source with predetermined input and output variables. We apply four different analytical approaches to rank these energy sources with respect to their efficiency scores. According to our analysis, geothermal is the most efficient and solar thermal technologies are the least efficient renewable energy sources.

Keywords: Data Envelopment Analysis (DEA), Efficiency Ranking, Electricity Generation, Multi-Criteria Decision Making, Renewable Energy Sources.

JEL Classification: Q2, Q4, Q5

Suggested Citation

Saglam, Ümit, The Efficiency Assessment of Renewable Energy Sources with Data Envelopment Analysis (October 31, 2018). 2018 Annual Meeting of the Decision Sciences Institute Proceedings, Chicago IL, November 2018.. Available at SSRN: https://ssrn.com/abstract=2988445 or http://dx.doi.org/10.2139/ssrn.2988445

Ümit Saglam (Contact Author)

East Tennessee State University ( email )

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Johnson City, TN 37614
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