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Selection of suitable renewable energy sources for Turkey: SEM–COPRAS method integrated solution

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Abstract

Renewable energy sources are accepted as an important option as they offer clean and environmentally friendly alternative energy to energy production and fossil fuel consumption. Although renewable energy sources are applicable for every region and country, it is an important issue to produce renewable energy and to decide which energy type should be given priority. Energy priority should be applied according to the most favorable conditions of the country. Considering these important points, in this study, a comprehensive study has been carried out on determining the guiding criteria that should be used for the assignment of renewable energy sources to the right regions. In line with the information obtained from the literature and expert opinions, the criteria to be used in the selection of renewable energy sources have been listed. For 32 sub-criteria under the main dimensions (economic, social, environmental, firm competency and technical), their weights are determined besides examining the effect levels with structural equation modeling (SEM). With the help of these weights, the COPRAS method, which is one of the appropriate multi-criteria decision-making methods, and a final wide-scale criterion table, is conducted across Turkey for renewable energy study. In order to choose the most suitable renewable energy according to this region, solar energy, wind energy, hydroelectric energy, biomass energy and geothermal energy are taken into consideration and the ranking is carried out with the COPRAS method.

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Acknowledgements

This research was supported by Tarsus University Scientific Research Projects Coordinatorship (Project No: MF.20.007). I am grateful to Tarsus University BAP unit for their support.

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EY was responsible for conceptualization, methodology, investigation, analysis and writing.

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Yontar, E. Selection of suitable renewable energy sources for Turkey: SEM–COPRAS method integrated solution. Int. J. Environ. Sci. Technol. 20, 6131–6146 (2023). https://doi.org/10.1007/s13762-023-04943-4

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