Comparative Analysis of Solar Panels with Determination of Local Significance Levels of Criteria Using the MCDM Methods Resistant to the Rank Reversal Phenomenon

This paper aims to present an innovative approach based on two newly developed Multi-Criteria Decision-Making (MCDM) methods: COMET combined with TOPSIS and SPOTIS, which could be the basis for a decision support system (DSS) in the problem of selecting solar panels. Solar energy is one of the most...

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Bibliographic Details
Published in:Energies (Basel) 2021-09, Vol.14 (18), p.5727
Main Authors: Bączkiewicz, Aleksandra, Kizielewicz, Bartłomiej, Shekhovtsov, Andrii, Yelmikheiev, Mykhailo, Kozlov, Volodymyr, Sałabun, Wojciech
Format: Article
Language:English
Subjects:
Alternative energy sources
Comparative analysis
Correlation coefficient
Correlation coefficients
Decision making
decision support system
DSS
Electricity
Emissions
Energy
Energy sources
Fossil fuels
Households
Multiple criterion
Photovoltaic cells
photovoltaic technology
Photovoltaics
renewable energy
Sensitivity analysis
Solar energy
Solar panels
solar panels selection
Solar radiation
Weighting methods
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Summary:This paper aims to present an innovative approach based on two newly developed Multi-Criteria Decision-Making (MCDM) methods: COMET combined with TOPSIS and SPOTIS, which could be the basis for a decision support system (DSS) in the problem of selecting solar panels. Solar energy is one of the most promising and environmentally friendly energy sources because of the enormous potential of directly converting available solar radiation everywhere into electricity. Furthermore, ever-lower prices for photovoltaic systems make solar electricity more competitive with power from conventional energy sources, increasing interest in solar panels among companies and households. This fact generates the need for a user-friendly, objective, fully automated DSS to support the multi-criteria selection of solar panels. Both MCDM methods chosen for this purpose are rank-reversal-free and precise. First, the objective entropy weighting method was applied for determining criteria weights. Final rankings were compared by two ranking correlation coefficients: symmetrical rw and asymmetrical WS. Then the sensitivity analysis providing local weights of alternatives for decision criteria was performed. The obtained results prove the adequacy and practical usefulness of the presented approach in solving the problem of solar panels selection.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14185727