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Evaluation of Renewable Energy Alternatives for Turkey via Modified Fuzzy AHP

Author

Listed:
  • Esra Karaka

    (Adana Science and Technology University, Faculty of Business, Department of Business Administration, Adana, Turkey.)

  • Ozan Veli Y ld ran

    (Adana Science and Technology University, Faculty of Business, Department of Business Administration, Adana, Turkey.)

Abstract

The importance of renewable energy is increasing both with the inadequacy of traditional energy resources and environmental awareness. Turkey has a large potential for renewable energy sources, and utilizing the potential is an inevitable choice for increasing its self-sufficiency with an environmentally friendly way. Therefore, evaluation of renewable energy alternatives for the country and determination of the most suitable renewable energy alternative are important issues to make reasonable energy investment plan. In this study, we evaluate the renewable energy alternatives of Turkey using Modified Fuzzy Analytic Hierarchy Process. Renewable energy alternatives considered in the study are hydro, wind, solar, biomass and geothermal energy. Four main criteria and eight sub criteria are used to evaluate five renewable energy alternatives. The obtained results indicate that solar energy is the best alternative, and wind energy is the second best alternative for Turkey. The conclusion reached by this study is also support successful realization of the Vision 2023 energy targets.

Suggested Citation

  • Esra Karaka & Ozan Veli Y ld ran, 2019. "Evaluation of Renewable Energy Alternatives for Turkey via Modified Fuzzy AHP," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 31-39.
    • Handle: RePEc:eco:journ2:2019-02-5
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    References listed on IDEAS

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    Cited by:

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    2. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    3. Mahammad Nuriyev, 2020. "Fuzzy Information and Z-number-based Approaches to Energy Resource Selection," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 392-398.
    4. Bilgili, Faik & Zarali, Fulya & Ilgün, Miraç Fatih & Dumrul, Cüneyt & Dumrul, Yasemin, 2022. "The evaluation of renewable energy alternatives for sustainable development in Turkey using ‌intuitionistic‌ ‌fuzzy‌-TOPSIS method," Renewable Energy, Elsevier, vol. 189(C), pages 1443-1458.
    5. Suriyanti Suriyanti & Ahmad Firman & Nurlina Nurlina & Gunawan Bata Ilyas & Aditya Halim Perdana Kusuma Putra, 2020. "Planning Strategy of Operation Business and Maintenance by Analytical Hierarchy Process and Strength, Weakness, Opportunity, and Threat Integration for Energy Sustainability," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 221-228.

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    More about this item

    Keywords

    Fuzzy Analytic Hierarchy Process; Renewable Energy; Energy Strategy.;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)

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