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Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
Ozgur Demirtas1, Omer Faruk Derindag2, Fulya Zarali3
1Develi Faculty of Social And Human Sciences, Kayseri University, Kayseri, Turkey.
Summary
Developing sustainable energy policies is crucial for economic and social well-being. This study identifies geothermal and solar energies as the most optimal renewable sources based on PESTLE criteria.
Area of Science:
- Energy Policy and Sustainability
- Renewable Energy Systems Analysis
Background:
- Energy is indispensable for socio-economic activities, necessitating a sustainable energy cycle.
- Effective energy policies require continuous reassessment of existing and alternative strategies.
- Decision-makers must prioritize sustainability and efficiency when selecting energy resources.
Purpose of the Study:
- To identify the best renewable energy consumption alternatives.
- To evaluate these alternatives using the fuzzy EDAS method.
- To incorporate political, economic, social, technological, legal, and environmental (PESTLE) dimensions into the analysis.
Main Methods:
- Application of the fuzzy EDAS (Evaluation Based on Distance from Average Solution) method.
- Multi-criteria decision-making framework incorporating PESTLE factors.
- Comparative analysis of various renewable energy sources.
Main Results:
- The study ranked renewable energy sources by efficiency: geothermal, solar, wind, hydroelectricity, and biomass.
- Geothermal and solar energies were identified as the most efficient options.
- PESTLE dimensions significantly influenced the ranking of renewable energy alternatives.
Conclusions:
- Geothermal and solar energies present the most optimum choices for renewable energy consumption.
- The fuzzy EDAS method provides a robust framework for evaluating energy policies.
- Integrating PESTLE factors is essential for informed and sustainable energy planning.
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