Green electricity generation assessment using the CODAS-COMET method

Jarosław Wątróbski

doi:10.1016/j.ecolind.2022.109391

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Green electricity generation assessment using the CODAS-COMET method

2022-10-01

Jarosław Wątróbski *

Aleksandra Bączkiewicz

Robert Król

Wojciech Sałabun

DOI：10.1016/j.ecolind.2022.109391

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Abstract

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The purpose of this paper is to present the new hybrid multi-criteria decision analysis (MCDA) method CODAS -COMET for evaluating sustainable electricity generation considering renewable energy sources (RES). The introduced approach combines the advantages of two known MCDA methods: Characteristic Object METhod (COMET) and COmbinative Distance-based ASsessment (CODAS). Due to the advantages of the COMET method, the proposed approach enables the identification of the whole domain model, is resistant to the rank reversal phenomenon, is easy to apply, and allows to obtain an objective and reliable recommendation based on the gathered data. Meanwhile, combining the COMET method with CODAS eliminates the limitations of COMET by automatizing and accelerating the characteristic object comparison procedure. The presented method's practical application includes evaluating Poland's sixteen voivodeships, considering the sustainable use of RES in the electricity generation domain. An additional contribution of this research is to investigate the impact on results of distance metrics other than the default distance metric used by the method that is the focus of this paper and demonstrate the design and practical application of a research framework for selecting the most appropriate metrics. A comparative analysis of the CODAS-COMET method with the TOPSIS-COMET reference approach was performed to confirm the results' reliability. The results showed a high correlation among all final rankings and confirmed the robustness of the CODAS-COMET approach to changing metrics in the algorithm. Furthermore, the results proved that our approach is a suitable and valuable tool for sustainability assessment in renewable energy domains and other complex issues requiring consideration of multiple criteria.

Keywords:

Renewable energy sources

RES

RES assessment

Multi-criteria decision analysis

MCDA

COMET

CODAS

Distance metrics

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