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Multi criteria site selection model for wind-compressed air energy storage power plants in Iran

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  • Satkin, Mohammad
  • Noorollahi, Younes
  • Abbaspour, Majid
  • Yousefi, Hossein

Abstract

In this research, a site selection method for wind-compressed air energy storage (wind-CAES) power plants was developed and Iran was selected as a case study for modeling. The parameters delineated criteria for potential wind development localities for wind-CAES power plant sites. One important consequence of this research was the identification of the wind energy potential for wind-CAES sites. The theoretical wind energy potential of Iran of greater than 50W/m2 was identified from a wind atlas of Iran. The model produced factor maps by considering the boundary conditions of the input data and created geo-databases from the outputs maps. The main factor maps were electrical grids and substations, gas transmission lines, a wind energy atlas, thermal power plants (location and capacity), salt dome locations and extends (for compressed air reservation), slope data, a digital elevation model, cities and residential areas, water bodies and access roads. For every data layer, criteria where developed from existing laws, regulations and scientific studies and normalized for Iran. In the final step of analysis and modeling, the factor maps were integrated by coding using ArcGIS software and the wind-CAES power plants sites were selected. This research showed that 30 sites in 5 major zones have the capability to support installation of wind-CASE power plants in Iran.

Suggested Citation

  • Satkin, Mohammad & Noorollahi, Younes & Abbaspour, Majid & Yousefi, Hossein, 2014. "Multi criteria site selection model for wind-compressed air energy storage power plants in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 579-590.
  • Handle: RePEc:eee:rensus:v:32:y:2014:i:c:p:579-590
    DOI: 10.1016/j.rser.2014.01.054
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    References listed on IDEAS

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    8. Krawczyk, Piotr & Szabłowski, Łukasz & Karellas, Sotirios & Kakaras, Emmanuel & Badyda, Krzysztof, 2018. "Comparative thermodynamic analysis of compressed air and liquid air energy storage systems," Energy, Elsevier, vol. 142(C), pages 46-54.
    9. Razmi, Amir Reza & Soltani, M. & Ardehali, Armin & Gharali, Kobra & Dusseault, M.B. & Nathwani, Jatin, 2021. "Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran," Energy, Elsevier, vol. 221(C).
    10. Xu, Jiuping & Song, Xiaoling & Wu, Yimin & Zeng, Ziqiang, 2015. "GIS-modelling based coal-fired power plant site identification and selection," Applied Energy, Elsevier, vol. 159(C), pages 520-539.
    11. Shorabeh, Saman Nadizadeh & Firozjaei, Hamzeh Karimi & Firozjaei, Mohammad Karimi & Jelokhani-Niaraki, Mohammadreza & Homaee, Mehdi & Nematollahi, Omid, 2022. "The site selection of wind energy power plant using GIS-multi-criteria evaluation from economic perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    12. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    13. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2016. "Comprehensive overview of grid interfaced wind energy generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 260-281.
    14. Seyed Mohammad Seyed Alavi & Akbar Maleki & Ali Khaleghi, 2022. "Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran [Selection of optimal location and design of a stand-alone photovoltaic scheme," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1319-1337.
    15. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Farabi-Asl, Hadi, 2018. "A comprehensive approach for wind power plant potential assessment, application to northwestern Iran," Energy, Elsevier, vol. 164(C), pages 344-358.
    16. Lu, H.W. & Pan, H.Y. & He, L. & Zhang, J.Q., 2016. "Importance analysis of off-grid wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 999-1007.
    17. Mousavi G, S.M. & Faraji, Faramarz & Majazi, Abbas & Al-Haddad, Kamal, 2017. "A comprehensive review of Flywheel Energy Storage System technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 477-490.
    18. Ren, Jingzheng, 2018. "Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach," Renewable Energy, Elsevier, vol. 121(C), pages 666-676.
    19. Younes Noorollahi & Mohammad Mohammadi & Hossein Yousefi & Amjad Anvari-Moghaddam, 2020. "A Spatial-Based Integration Model for Regional Scale Solar Energy Technical Potential," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    20. M. de Oliveira Junior, Maury & T. Maia, Antônio A. & P. Porto, Matheus, 2020. "Organic Rankine Energy Storage (ORES) system," Energy, Elsevier, vol. 204(C).
    21. Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud & Mostafaeipour, Ali & Le, Ttu, 2024. "Evaluation of renewable energy projects based on sustainability goals using a hybrid pythagorean fuzzy-based decision approach," Energy, Elsevier, vol. 297(C).

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