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Root barriers management in development of renewable energy resources in Iran: An interpretative structural modeling approach

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  • Jahangoshai Rezaee, Mustafa
  • Yousefi, Samuel
  • Hayati, Jamileh

Abstract

Main advantages of renewable energies in economic development and environmental protection have resulted in an increase in the importance of using these energies in different countries. Therefore, to develop such technologies, it is essential to identify all the barriers hindering the development of renewable energy resources and propose scientific and practical solutions to alleviate them. In this study, the effort is to identify the root barriers in the development of wind and solar (renewable) energy resources in energy production sectors of Iran, considering the cause and effect relationships between the existing barriers. Not only barriers directly influence the non-development of renewable energy resources, but also they interact. It has been done by considering the literature review, experts' opinions, and interpretive structural modeling. Then, solutions are proposed to improve the current situation, and executive prioritization is obtained for a faster achievement of the ideal situation using an integrated approach based on the fuzzy cognitive map and slack-based data envelopment analysis. Finally, the effect of each improvement solution on the system's objectives is examined with regard to cause and effect relationships between the barriers.

Suggested Citation

  • Jahangoshai Rezaee, Mustafa & Yousefi, Samuel & Hayati, Jamileh, 2019. "Root barriers management in development of renewable energy resources in Iran: An interpretative structural modeling approach," Energy Policy, Elsevier, vol. 129(C), pages 292-306.
    • Handle: RePEc:eee:enepol:v:129:y:2019:i:c:p:292-306
    DOI: 10.1016/j.enpol.2019.02.030
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    6. Mohsen Abbaspour Onari & Mustafa Jahangoshai Rezaee, 2022. "A fuzzy cognitive map based on Nash bargaining game for supplier selection problem: a case study on auto parts industry," Operational Research, Springer, vol. 22(3), pages 2133-2171, July.
    7. Zapata, Sebastian & Castaneda, Monica & Herrera, Milton M. & Dyner, Isaac, 2023. "Investigating the concurrence of transmission grid expansion and the dissemination of renewables," Energy, Elsevier, vol. 276(C).
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    10. Bahareh Oryani & Yoonmo Koo & Shahabaldin Rezania, 2020. "Structural Vector Autoregressive Approach to Evaluate the Impact of Electricity Generation Mix on Economic Growth and CO 2 Emissions in Iran," Energies, MDPI, vol. 13(16), pages 1-16, August.
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