Work

A linguistic TOPSIS model to evaluate the sustainability of renewable energy options

Year: 2009

Type: article

Abstract: Renewable Energy Sources (RES) could be used to reduce carbon emissions, decrease dependence on fossil fuels and meet energy policy objectives towards Sustainable Development (SD). However, appraising the RES options' contribution to SD is a complex task, considering the different aspects of SD and the uncertainty of related information. The paper's objective is to extend the numerical multicriteria method TOPSIS for processing linguistic data in the form of 2-tuples, so as to show how energy policy objectives towards SD and RES are assessed using linguistic variables. Moreover, the application of the proposed method to the Greek energy market is presented.

Source: International Journal of Global Energy Issues

DOI: 10.1504/ijgei.2009.027976

Authors: Haris Doukas, Charikleia Karakosta, John Psarras

Institution: National Technical University of Athens

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: green

Funder: National Technical University of Athens