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

Haris Doukas · Charikleia Karakosta · John E. Psarras

31 citations0/0 files storedInternational Journal of Global Energy Issues

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Multi-Criteria Decision Making Renewable Energy and Sustainability Energy and Environmental Sustainability

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.

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References

1981Multiple Attribute Decision Making: Methods and Applications 2000Extensions of the TOPSIS for group decision-making under fuzzy environment 2000A 2-tuple fuzzy linguistic representation model for computing with words 2004Application of multi-criteria decision making to sustainable energy planning—A review 2001Indicators of sustainable production: framework and methodology 2005Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment 1996Direct approach processes in group decision making using linguistic OWA operators 2006Extension of the TOPSIS method for decision-making problems with fuzzy data

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2018Understanding Risks and Uncertainties in Energy and Climate Policy 2016Alunite processing method selection using the AHP and TOPSIS approaches under fuzzy environment 2019Agent evaluation based on multi-source heterogeneous information table using TOPSIS

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