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Evaluating the Best Renewable Energy Technology for Sustainable Energy Plannin


  • Ozgur Demirta

    (Air Logistics and Aviation Maintenance Center Command, Kayseri, Turkey)


Energy is one of the main factors that must be considered in the discussions of sustainable development. The basic dimensions of sustainability of energy production are environmentally, technically, economically and socially sustainable supply of energy resources that, in the long term, is reliable, adequate and affordable. Renewable, clean and cost effective energy sources are preferred but unfortunately no one of the alternative energy sources can meet these demands solely. So, the problem of determining the sustainable energy planning is a strategic tool for the development. In this dissertation, the aim of this study is to determine the best renewable energy technology for sustainable energy planning. For this aim, we used AHP methodology, which is a multi-criteria decision making (MDCM) method. In the proposed method, the weights of the selection criteria are determined by pairwise comparison matrices of the AHP. Results indicate that wind energy is the most appropriate renewable energy option in this study. Future researches could be conducted based on different multi-criteria decision-making techniques such as ANP, fuzzy ELECTRE or fuzzy TOPSIS for comparative purposes.

Suggested Citation

  • Ozgur Demirta, 2013. "Evaluating the Best Renewable Energy Technology for Sustainable Energy Plannin," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 23-33.
  • Handle: RePEc:eco:journ2:2013-04-4

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    References listed on IDEAS

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    1. Henriques, J.C.C. & Portillo, J.C.C. & Gato, L.M.C. & Gomes, R.P.F. & Ferreira, D.N. & Falcão, A.F.O., 2016. "Design of oscillating-water-column wave energy converters with an application to self-powered sensor buoys," Energy, Elsevier, vol. 112(C), pages 852-867.
    2. Karunathilake, Hirushie & Hewage, Kasun & Mérida, Walter & Sadiq, Rehan, 2019. "Renewable energy selection for net-zero energy communities: Life cycle based decision making under uncertainty," Renewable Energy, Elsevier, vol. 130(C), pages 558-573.
    3. Büyüközkan, Gülçin & Güleryüz, Sezin, 2017. "Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations," Energy, Elsevier, vol. 123(C), pages 149-163.
    4. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-25, May.
    5. Manuel Baumann, 2013. "Prospective system analysis of stationary battery systems under the frame of Constructive Technology Assessment," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 9(9), pages 9-27, December.
    6. Sagbansua, Lutfu & Balo, Figen, 2017. "Decision making model development in increasing wind farm energy efficiency," Renewable Energy, Elsevier, vol. 109(C), pages 354-362.
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    8. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    9. repec:gam:jsusta:v:8:y:2016:i:5:p:443:d:69461 is not listed on IDEAS
    10. Rita Vasconcellos Oliveira, 2018. "Back to the Future: The Potential of Intergenerational Justice for the Achievement of the Sustainable Development Goals," Sustainability, MDPI, Open Access Journal, vol. 10(2), pages 1-16, February.
    11. Kontić, Branko & Bohanec, Marko & Kontić, Davor & Trdin, Nejc & Matko, Maruša, 2016. "Improving appraisal of sustainability of energy options – A view from Slovenia," Energy Policy, Elsevier, vol. 90(C), pages 154-171.
    12. Sarah Feron & Harald Heinrichs & Raúl R. Cordero, 2016. "Are the Rural Electrification Efforts in the Ecuadorian Amazon Sustainable?," Sustainability, MDPI, Open Access Journal, vol. 8(5), pages 1-22, May.
    13. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    14. Baumann, Manuel & Weil, Marcel & Peters, Jens F. & Chibeles-Martins, Nelson & Moniz, Antonio B., 2019. "A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 516-534.
    15. Dalit Shach-Pinsly & Isaac Guedi Capeluto, 2020. "From Form-Based to Performance-Based Codes," Sustainability, MDPI, Open Access Journal, vol. 12(14), pages 1-20, July.
    16. Huang, Zishuo & Yu, Hang & Peng, Zhenwei & Zhao, Mei, 2015. "Methods and tools for community energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1335-1348.
    17. Esra Karakaþ & Ozan Veli Yýldýran, 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.

    More about this item


    Renewable Energy; Sustainable Energy Planning; AHP; Multi-Criteria Decision Making;

    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy


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