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A multi-criteria and multi-expert decision aid approach to evaluate the future Turkish power plant portfolio

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  • Pasaoglu, Guzay
  • Garcia, Nicolas Pardo
  • Zubi, Ghassan

Abstract

The study presents recent developments in the Turkish power market and introduces an Analytic Hierarchy Process model to evaluate and compare the relative overall attractiveness of power plant options for Turkey. The developed model incorporates technical characteristics, resource availability, socio-economic, environmental, cost, political, legal and organisational aspects, for evaluating and prioritising power plant types (biomass, coal, geothermal, hydro, natural gas, nuclear, petroleum, solar and wind). The study incorporates perspectives of different experts that represent various stakeholders of the Turkish power sector. The study reveals that supply reliability, investment costs and contribution to national economy are perceived as most important factors, whereas waste disposal and decommissioning costs are perceived as least important factors. Considering the overall weights, the most attractive power plant types for the Turkish power market are coal, hydro and natural gas power plants. The study indicates that Turkey should drastically decrease the installed capacity share of traditionally dominant power plants (to 58% from 89% in 2016) and fossil fuel power plants (to 40% from 56% in 2016), and increase the share of renewable power plants (to 52% from 44% in 2016), indigenous resource based power plants (to 67% from 56% in 2016) and nuclear power plants.

Suggested Citation

  • Pasaoglu, Guzay & Garcia, Nicolas Pardo & Zubi, Ghassan, 2018. "A multi-criteria and multi-expert decision aid approach to evaluate the future Turkish power plant portfolio," Energy Policy, Elsevier, vol. 119(C), pages 654-665.
    • Handle: RePEc:eee:enepol:v:119:y:2018:i:c:p:654-665
    DOI: 10.1016/j.enpol.2018.04.044
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    Citations

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    Cited by:

    1. Zhang, Mingming & Song, Wenwen & Liu, Liyun & Zhou, Dequn, 2024. "Optimal investment portfolio strategy for carbon neutrality of power enterprises," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    2. Tagliapietra, Simone & Zachmann, Georg & Fredriksson, Gustav, 2019. "Estimating the cost of capital for wind energy investments in Turkey," Energy Policy, Elsevier, vol. 131(C), pages 295-301.
    3. Zubi, Ghassan & Fracastoro, Gian Vincenzo & Lujano-Rojas, Juan M. & El Bakari, Khalil & Andrews, David, 2019. "The unlocked potential of solar home systems; an effective way to overcome domestic energy poverty in developing regions," Renewable Energy, Elsevier, vol. 132(C), pages 1425-1435.
    4. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    5. Xingyu Xiao & Jingang Liang & Jiejuan Tong & Haitao Wang, 2024. "Emergency Decision Support Techniques for Nuclear Power Plants: Current State, Challenges, and Future Trends," Energies, MDPI, vol. 17(10), pages 1-35, May.

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