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Feasibility analysis of a new tree-shaped wind turbine for urban application: A case study

Author

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  • Ali Mostafaeipour
  • Mostafa Rezaei
  • Mehdi Jahangiri
  • Mojtaba Qolipour

Abstract

In this study, feasibility of a new wind power generation system for urban application in Hormozgan Province of Iran is investigated. The wind turbine system in this study is a novel, aesthetically pleasing, noiseless, pollution-free, potentially cost-effective, and high efficiency design called tree-shaped wind turbine (TSWT). Techno-economic evaluation is performed on eight urban areas in the province using the software HOMER. Multi-criteria decision making approaches are used to prioritize the areas in terms of the best location for installing such a new system. The results of techno-economic analysis examining a wind power system consisting of 25 TSWTs show that the most electricity production would occur for Jask city which is 529,450 kWh/yr. Also, the least amount of electricity which is 339,275 kWh/yr belongs to Bandar Abbas. Considering the most important criteria including electricity production, levelized cost of electricity, population, land price, environmental impact, and frequency of natural disasters, data envelopment analysis, and the fuzzy technique for order of preference by similarity to ideal solution are employed to rank the cities. The results are validated by two different methods. Finally, it is suggested that Sirik is the best location for using the aforementioned wind turbine.

Suggested Citation

  • Ali Mostafaeipour & Mostafa Rezaei & Mehdi Jahangiri & Mojtaba Qolipour, 2020. "Feasibility analysis of a new tree-shaped wind turbine for urban application: A case study," Energy & Environment, , vol. 31(7), pages 1230-1256, November.
    • Handle: RePEc:sae:engenv:v:31:y:2020:i:7:p:1230-1256
    DOI: 10.1177/0958305X19888878
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    Cited by:

    1. Mehdi Jahangiri & Yasaman Yousefi & Iman Pishkar & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahabaddin Hosseini Dehshiri & Seyyed Mohammad Fatemi Vanani, 2023. "Techno–Econo–Enviro Energy Analysis, Ranking and Optimization of Various Building-Integrated Photovoltaic (BIPV) Types in Different Climatic Regions of Iran," Energies, MDPI, vol. 16(1), pages 1-25, January.
    2. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    3. Mahsa Dehghan Manshadi & Majid Ghassemi & Seyed Milad Mousavi & Amir H. Mosavi & Levente Kovacs, 2021. "Predicting the Parameters of Vortex Bladeless Wind Turbine Using Deep Learning Method of Long Short-Term Memory," Energies, MDPI, vol. 14(16), pages 1-17, August.
    4. Jahangiri, Mehdi & Rezaei, Mostafa & Mostafaeipour, Ali & Goojani, Afsaneh Raiesi & Saghaei, Hamed & Hosseini Dehshiri, Seyyed Jalaladdin & Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "Prioritization of solar electricity and hydrogen co-production stations considering PV losses and different types of solar trackers: A TOPSIS approach," Renewable Energy, Elsevier, vol. 186(C), pages 889-903.

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