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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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    as
    1. Ramli, Makbul A.M. & Twaha, Ssennoga & Al-Hamouz, Zakariya, 2017. "Analyzing the potential and progress of distributed generation applications in Saudi Arabia: The case of solar and wind resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 287-297.
    2. Karthikeya, B.R. & Negi, Prabal S. & Srikanth, N., 2016. "Wind resource assessment for urban renewable energy application in Singapore," Renewable Energy, Elsevier, vol. 87(P1), pages 403-414.
    3. Mentis, Dimitrios & Hermann, Sebastian & Howells, Mark & Welsch, Manuel & Siyal, Shahid Hussain, 2015. "Assessing the technical wind energy potential in Africa a GIS-based approach," Renewable Energy, Elsevier, vol. 83(C), pages 110-125.
    4. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    5. Dabbaghiyan, Amir & Fazelpour, Farivar & Abnavi, Mohhamadreza Dehghan & Rosen, Marc A., 2016. "Evaluation of wind energy potential in province of Bushehr, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 455-466.
    6. Mostafaeipour, A. & Sedaghat, A. & Dehghan-Niri, A.A. & Kalantar, V., 2011. "Wind energy feasibility study for city of Shahrbabak in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2545-2556, August.
    7. Ritter, Matthias & Deckert, Lars, 2017. "Site assessment, turbine selection, and local feed-in tariffs through the wind energy index," Applied Energy, Elsevier, vol. 185(P2), pages 1087-1099.
    8. Hooper, Tara & Beaumont, Nicola & Hattam, Caroline, 2017. "The implications of energy systems for ecosystem services: A detailed case study of offshore wind," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 230-241.
    9. Jiang, Haiyan & Wang, Jianzhou & Wu, Jie & Geng, Wei, 2017. "Comparison of numerical methods and metaheuristic optimization algorithms for estimating parameters for wind energy potential assessment in low wind regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1199-1217.
    10. Ashtine, Masaō & Bello, Richard & Higuchi, Kaz, 2016. "Assessment of wind energy potential over Ontario and Great Lakes using the NARR data: 1980–2012," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 272-282.
    11. Bahrami, Mohsen & Abbaszadeh, Payam, 2013. "An overview of renewable energies in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 198-208.
    12. Lunney, E. & Ban, M. & Duic, N. & Foley, A., 2017. "A state-of-the-art review and feasibility analysis of high altitude wind power in Northern Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 899-911.
    13. Ghobadian, Barat & Najafi, Gholamhassan & Rahimi, Hadi & Yusaf, T.F., 2009. "Future of renewable energies in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 689-695, April.
    14. Li, Shin-Je & Chang, Ting-Huan & Chang, Ssu-Li, 2017. "The policy effectiveness of economic instruments for the photovoltaic and wind power development in the European Union," Renewable Energy, Elsevier, vol. 101(C), pages 660-666.
    15. Wang, Jianzhou & Hu, Jianming & Ma, Kailiang, 2016. "Wind speed probability distribution estimation and wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 881-899.
    16. Carvalho, D. & Rocha, A. & Gómez-Gesteira, M. & Silva Santos, C., 2017. "Potential impacts of climate change on European wind energy resource under the CMIP5 future climate projections," Renewable Energy, Elsevier, vol. 101(C), pages 29-40.
    17. Shahzad, M. Kashif & Zahid, Adeem & ur Rashid, Tanzeel & Rehan, Mirza Abdullah & Ali, Muzaffar & Ahmad, Mueen, 2017. "Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software," Renewable Energy, Elsevier, vol. 106(C), pages 264-273.
    18. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
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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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