Green electricity generation assessment using the CODAS-COMET method. (October 2022)

• Record Type: Journal Article
• Authors: Wątróbski, Jarosław; Bączkiewicz, Aleksandra; Król, Robert; Sałabun, Wojciech
• Is Part Of: Ecological indicators. Volume 143(2022)
• Publication Date: 2022-10
• Subjects: Renewable energy sources -- RES -- RES assessment -- Multi-criteria decision analysis -- MCDA -- COMET -- CODAS -- Distance metrics; AHP Analytic Hierarchy Process -- CO Characteristic Object -- CODAS COmbinative Distance-based Assessment -- COMET Characteristic Object METhod -- COPRAS COmplex Proportional Assessment -- CRITIC Criteria Importance Through Inter-criteria Correlation -- DM Decision Matrix -- EDAS Evaluation based on Distance from Average Solution -- ELECTRE ELimination and Choice Expressing the Reality -- EU European Union -- EVAMIX EVAluation of MIXed Data -- GHG Greenhouse Gas -- GWh Gigawatt-hour -- IDRA Intercriteria Decision Rule Approach -- MABAC Multi-Attributive Border Approximation area Comparison -- MAPPAC Multicriterion Analysis of Preferences by means of Pairwise Actions and Criterion comparisons -- MAUT MultiAttribute Utility Theory -- MCDA Multi-Criteria Decision Analysis -- MEREC MEthod based on the Removal Effects of Criteria -- MW Megawatt -- NIS Negative Ideal Solution -- PACMAN Passive and Active Compensability Multicriteria Analysis -- PCA-LDA Principal Component Analysis - Linear Discriminant Analysis -- PCCA Pairwise Criterion Comparison Approach -- PIS Positive Ideal Solution -- PRAGMA Preference Ranking Global frequencies in Multicriterion Analysis -- PROMETHEE Preference Ranking Organization Method for Enrichment Evaluations -- QUALIFLEX QUALItative FLEXible multiple criteria method -- RES Renewable Energy Sources -- SA Sensitivity Analysis -- SAW Simple Additive Weighting -- SJ Summed Judgements -- SMART Simple Multi-Attribute Rating Technique -- SoRD Sum of Ranking Differences -- SPOTIS Stable Preference Ordering Towards Ideal Solution -- TFN Triangular Fuzzy Number -- TMD Taxonomic Measure of Development -- TOPSIS Technique for Order Preference by Similarity to Ideal Solution -- UA Uncertainty Analysis -- VIKOR Vlsekriterijumska Optimizacija I Kompromisno Resenje -- WASPAS Weighted Aggregated Sum Product Assessment -- WPM Weighted Product Model -- WSM Weighted Sum Model; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2022.109391
• Languages: English
• ISSNs: 1470-160X

Abstract

Graphical abstract: Highlights: We investigate Multi-Criteria Decision Analysis (MCDA) methods application in the renewable energy sources (RES) evaluation domain. We propose a new MCDA method called CODAS-COMET. We assess Green Electricity Generation in Poland using the method developed. Abstract: 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.