A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies

José Ramón San Cristóbal

Renewable Energy, 2011, vol. 36, issue 10, 2742-2746

Abstract: The growing concern in the negative effects of fossil fuels on the environment has forced a more intensive use of Renewable Energy sources which are considered an important solution to the large atmospheric pollution caused from fossil fuel combustion. In the electricity-generating industry, due to the high costs associated with the construction and operation of plants and the regulations that enforce productivity evaluations, efficiency is a key managerial concept. DEA is a non-parametric method which produces detailed information on the efficiency of a unit, to be measured without any assumptions regarding the functional form of the production function. In this paper, the efficiency of 13 Renewable Energy technologies is evaluated through a Multiple Criteria Data Envelopment Analysis (MCDEA) model. Two additional criterion, the minsum and minimax criterion, are included in the model which are the most restrictive than that defined in the classical DEA. The results show that the only Decision Making Unit rated as efficient is the Windpower 10 ≤ P ≤ 50 MW technology and it can be considered the only non-dominated solution.

Keywords: Renewable Energies; Efficiency; Multi criteria data envelopment analysis (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148111001224
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:renene:v:36:y:2011:i:10:p:2742-2746

DOI: 10.1016/j.renene.2011.03.008

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().