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Selection of renewable energy systems sites using the MaxEnt model in the Eastern Mediterranean region in Turkey

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Abstract

Global warming has become the center of worldwide environmental concerns, especially in recent years. One of the ways to deal with global warming that causes climate change is to adopt the renewable energy power technique. Different renewable energy sources such as solar, wind, hydro, ocean, geothermal, and bioenergy are currently the backbone of green and sustainable economic growth. However, renewable energy sites are directly or indirectly dependent on environmental, social, and technical criteria.The main objective of this paper is to identify potential best renewable energy site alternatives using the maximum entropy model (MaxEnt) and Geographical Information systems (GIS). Thus, the framework formed by the findings will guide investors in the renewable energy sector. The results showed that suitable areas for solar and wind were mainly located in the Hatay and Mersin of the Eastern Mediterranean Region in Turkey. The energy suitability site maps indicate that 8% (3.42 km2) and 3.39% (1554 km2) of the total study area have suitability and very suitability for solar and wind energy respectively. Moreover, it is seen that 44.82% (20,689km2) of the regions are the same when suitable and very suitable regions are overlaid for the installation of solar and wind energy sites. The receiver operating characteristic (ROC) curve was used to evaluate model performance. The area under the curve (AUC) values are calculated 0.87 and 0.95 for solar and wind energy, respectively. Relying on realistic data, this paper proposes an innovative method to identify suitable areas for solar and wind power plants. The maps obtained to contribute to renewable energy production will be useful for creating future strategies in the Mediterranean region.

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Funding

Financing will be borne by the authors.

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Authors and Affiliations

  1. Mining and Mineral Extraction Department, School of Technical Sciences, Adıyaman University, 02040, Adıyaman, Turkey

    Senem Tekin

  2. Department of Environmental Engineering, Çukurova University, 01330, Adana, Turkey

    Esra Deniz Guner

  3. Department of Landscape Architecture, Çukurova University, 01330, Adana, Turkey

    Ahmet Cilek & Müge Unal Cilek

Authors
  1. Senem Tekin
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  2. Esra Deniz Guner
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  3. Ahmet Cilek
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  4. Müge Unal Cilek
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Contributions

Senem Tekin: (corresponding author) collected the datasets and analyzed the data, Methodology, Validation.

Esra Deniz Guner: Designed the research, Investigation, Writing the manuscript–review and editing.

Ahmet Cilek: Conceptualization, Analyzed the data, Methodology, Validation, Writing.

Müge Unal Cilek: Investigation, Writing–review and editing, commented on themanuscript.

Corresponding author

Correspondence to Senem Tekin.

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Tekin, S., Guner, E.D., Cilek, A. et al. Selection of renewable energy systems sites using the MaxEnt model in the Eastern Mediterranean region in Turkey. Environ Sci Pollut Res 28, 51405–51424 (2021). https://doi.org/10.1007/s11356-021-13760-6

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  • DOI: https://doi.org/10.1007/s11356-021-13760-6

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