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2 →- MakaleYalnız künye2023Scopus SJRQ4Development of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey
Aykac, Yunus Emre; Yucesan, Melih; Gul, Muhammet
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.
AtıfScopus5OpenAlex3İncele
- Yüksek Lisans TeziAçık Erişim2020Güneş enerji santrali yer seçimi için iki aşamalı bir model önerisi: Tunceli örneği
Yunus Emre Aykaç
With the developing industry over the world and in our country, the need for energy is increasing day by day. The importance of renewable energy sources is increasing day by day due to the great damage caused by fossil fuels to the environment. One of the most important of these is solar energy, which has a very high potential in our country. Due to the high cost of panels and the long return period of the solar power plant investment to be made, the location where the solar power plant will be established is of vital importance for the feasibility of the investment. This study aims to develop a two-stage multi-attribute decision-making (MADM) model for a solar power plant for Tunceli. In this context, initially, by searching the literature and taking expert opinions, the factors affecting the location selection were determined as soil structure and ground, fault line, recreation, landslide, slope, solar radiation, elevation, orientation and distance to power substations. These criteria were weighted by the Best-Worst Method (BWM). Although many MADM methods require a comparison matrix that includes all criteria, fewer comparison matrices are needed in BWM. Since the comparisons in BWM are based on the best and the worst criterion, it enables decision makers to make a more reliable pair wise comparison. Secondly, the most suitable location was selected among eight alternative locations (Tunceli Center, Pülümür, Ovacık, Mazgirt, Hozat, Çemişgezek, Nazımiye, Pertek) according to the weighted criteria. In the second stage, five different MADM methods were used. These are TOPSIS, VIKOR, SAW, GRA and ELECTRE. According to the BWM results; while solar radiation factor was the most important factor with a weight value of 0.334, the fault line factor was determined as the least important factor with a weight value of 0.038. According to the location selection results; Pertek district has been determined as the most suitable location with respect to all five methods. This study is expected to provide a useful guide for neighboring regions in solar power plant location selection and location selection problems in other areas.
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.date.accessioned | 2026-10-28T14:56:06.425079499Z | |
| dc.date.available | 2026-10-28T14:56:06.425079499Z | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/munzur/3012 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Aykac, Yunus Emre | |
| person.affiliation.name | Department of Engineering Management, Munzur University, Tunceli, Turkey | |
| person.familyName | Aykac | |
| person.givenName | Yunus Emre | |
| person.identifier.scopus | 58725158300 | |
| person.name.variant | Yunus Emre Aykaç | |
| person.status | unverified |


