Development of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey
Özet
Solar energy stands out with its increasing potential in the world. The decision to choose the location of a solar power plant is very important due to the investment return. In this study, a solar power plant site selection for Tunceli, Turkey is studied with a two-stage multi-criteria decision-making approach. In the first stage, the importance levels of the determined nine factors are obtained by the best-worst method (BWM). In the second stage, the most appropriate site is selected among the eight districts of Tunceli. As a result of the first stage, solar and fault line emerged as the most and least important factor, respectively. The second stage showed that Pertek district is the most suitable place. A comparative framework has been created including five different MCDM methods, which strengthens the final decision's accuracy and reveals whether each method's results are correlated.
Anahtar Kelimeler
- Scopus
- 5
- OpenAlex
- 3
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Aykac, Yunus Emre | |
| dc.contributor.author | Yucesan, Melih | |
| dc.contributor.author | Gul, Muhammet | |
| dc.date.accessioned | 2026-10-28T14:56:06.390843351Z | |
| dc.date.available | 2026-10-28T14:56:06.390843351Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Solar energy stands out with its increasing potential in the world. The decision to choose the location of a solar power plant is very important due to the investment return. In this study, a solar power plant site selection for Tunceli, Turkey is studied with a two-stage multi-criteria decision-making approach. In the first stage, the importance levels of the determined nine factors are obtained by the best-worst method (BWM). In the second stage, the most appropriate site is selected among the eight districts of Tunceli. As a result of the first stage, solar and fault line emerged as the most and least important factor, respectively. The second stage showed that Pertek district is the most suitable place. A comparative framework has been created including five different MCDM methods, which strengthens the final decision's accuracy and reveals whether each method's results are correlated. | |
| dc.identifier.doi | 10.1504/ijmcdm.2023.134927 | |
| dc.identifier.endpage | 350 | |
| dc.identifier.issn | 2040-106X | |
| dc.identifier.issue | 4 | |
| dc.identifier.scopus | 2-s2.0-85178043258 | |
| dc.identifier.startpage | 322 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/munzur/3011 | |
| dc.identifier.volume | 9 | |
| dc.language.iso | en | |
| dc.publisher | Inderscience Publishers | |
| dc.relation.ispartof | International Journal of Multicriteria Decision Making | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | best-worst method | |
| dc.subject | BWM | |
| dc.subject | multi-criteria decision-making | |
| dc.subject | power plant location | |
| dc.subject | solar energy | |
| dc.subject | Tunceli | |
| dc.subject | Turkey | |
| dc.title | Development of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey | |
| dc.type | Article | |
| rdl.citation.openalex | 3 | |
| rdl.citation.scopus | 5 | |
| rdl.oa.status | closed | |
| rdl.scopus.quartile | Q4 | |
| rdl.sdg | SDG07 | |
| rdl.sdg | SDG09 | |
| rdl.source.index | SCOPUS |


